Liu, Yang

538 publications

ICLR 2025 ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu

ICCV 2025 AR-VRM: Imitating Human Motions for Visual Robot Manipulation with Analogical Reasoning Dejie Yang, Zijing Zhao, Yang Liu

CVPR 2025 AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization Yiyang Du, Xiaochen Wang, Chi Chen, Jiabo Ye, Yiru Wang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Zhifang Sui, Maosong Sun, Yang Liu

ICCV 2025 AdsQA: Towards Advertisement Video Understanding Xinwei Long, Kai Tian, Peng Xu, Guoli Jia, Jingxuan Li, Sa Yang, Yihua Shao, Kaiyan Zhang, Che Jiang, Hao Xu, Yang Liu, Jiaheng Ma, Bowen Zhou

NeurIPS 2025 Adversarial Attacks Against Closed-Source MLLMs via Feature Optimal Alignment Xiaojun Jia, Sensen Gao, Simeng Qin, Tianyu Pang, Chao Du, Yihao Huang, Xinfeng Li, Yiming Li, Bo Li, Yang Liu

ICLR 2025 Adversarial Machine Unlearning Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu

ICCV 2025 Adversarial Robust Memory-Based Continual Learner Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu

ICCV 2025 Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching Yang Liu, Wentao Feng, Zhuoyao Liu, Shudong Huang, Jiancheng Lv

CVPR 2025 Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation Yiming Qin, Zhu Xu, Yang Liu

AAAI 2025 Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment Yang Liu, Mengyuan Liu, Shudong Huang, Jiancheng Lv

ICML 2025 Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing Zhuoying Li, Zhu Xu, Yuxin Peng, Yang Liu

ICCV 2025 Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin

NeurIPS 2025 Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations Peng Lai, Jianjie Zheng, Sijie Cheng, Yun Chen, Peng Li, Yang Liu, Guanhua Chen

NeurIPS 2025 CPSea: Large-Scale Cyclic Peptide-Protein Complex Dataset for Machine Learning in Cyclic Peptide Design Ziyi Yang, Hanyuan Xie, Yinjun Jia, Xiangzhe Kong, Jiqing Zheng, Ziting Zhang, Yang Liu, Lei Liu, Yanyan Lan

AAAI 2025 Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? Yang Liu, Xiaoping Wang, Kai Lu

ICLR 2025 CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-Inspired Transformer Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li

ICLR 2025 CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes Yang Liu, Chuanchen Luo, Zhongkai Mao, Junran Peng, Zhaoxiang Zhang

CVPR 2025 CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models Yiqi Zhu, Ziyue Wang, Can Zhang, Peng Li, Yang Liu

JAIR 2025 Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective Xiaosong Chen, Hanqin Zhuang, Yang Liu, Huanle Xu, Wing Cheong Lau

NeurIPS 2025 Compiler-R1: Towards Agentic Compiler Auto-Tuning with Reinforcement Learning Haolin Pan, Hongyu Lin, Haoran Luo, Yang Liu, Kaichun Yao, Libo Zhang, Mingjie Xing, Yanjun Wu

CVPR 2025 ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer Jiayi Gao, Zijin Yin, Changcheng Hua, Yuxin Peng, Kongming Liang, Zhanyu Ma, Jun Guo, Yang Liu

ICML 2025 Conformal Anomaly Detection in Event Sequences Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan

ICML 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang

ICLRW 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Ye Ouyang, Xiaozhou Ye, Yaqin Zhang

CVPR 2025 Cross-Modal Causal Relation Alignment for Video Question Grounding Weixing Chen, Yang Liu, Binglin Chen, Jiandong Su, Yongsen Zheng, Liang Lin

NeurIPS 2025 DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization Jiacai Liu, Chaojie Wang, Chris Yuhao Liu, Liang Zeng, Rui Yan, Yiwen Sun, Yang Liu

CVPR 2025 DSPNet: Dual-Vision Scene Perception for Robust 3D Question Answering Jingzhou Luo, Yang Liu, Weixing Chen, Zhen Li, Yaowei Wang, Guanbin Li, Liang Lin

NeurIPS 2025 DanmakuTPPBench: A Multi-Modal Benchmark for Temporal Point Process Modeling and Understanding Yue Jiang, Jichu Li, Yang Liu, Dingkang Yang, Feng Zhou, Quyu Kong

AAAI 2025 DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification Yuhao Wang, Yang Liu, Aihua Zheng, Pingping Zhang

ICML 2025 Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo

ICLRW 2025 Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision Qi Zhou, Tianlin Li, Qing Guo, Dongxia Wang, Yun Lin, Yang Liu, Jin Song Dong

NeurIPS 2025 DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches Yun Xing, Yue Cao, Nhat Chung, Jie Zhang, Ivor Tsang, Ming-Ming Cheng, Yang Liu, Lei Ma, Qing Guo

ICCV 2025 DiffTell: A High-Quality Dataset for Describing Image Manipulation Changes Zonglin Di, Jing Shi, Yifei Fan, Hao Tan, Alexander Black, John Collomosse, Yang Liu

ICCV 2025 DisTime: Distribution-Based Time Representation for Video Large Language Models Yingsen Zeng, Zepeng Huang, Yujie Zhong, Chengjian Feng, Jie Hu, Lin Ma, Yang Liu

ICLR 2025 Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin

AAAI 2025 DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes Yang Liu, Feng Hou, Yunjie Peng, Gangjian Zhang, Yao Zhang, Dong Xie, Peng Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He

AAAI 2025 Dynamic Graph Learning with Static Relations for Credit Risk Assessment Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao

ICCV 2025 End-to-End Driving with Online Trajectory Evaluation via BEV World Model Yingyan Li, Yuqi Wang, Yang Liu, Jiawei He, Lue Fan, Zhaoxiang Zhang

TMLR 2025 Enhancing Parameter Efficiency and Generalization in Large Models: A Regularized and Masked Low-Rank Adaptation Approach Yuzhu Mao, Zihao Zhao, Siqi Ping, Yang Liu, Wenbo Ding

NeurIPS 2025 Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi

ICLR 2025 Erasing Concept Combination from Text-to-Image Diffusion Model Hongyi Nie, Quanming Yao, Yang Liu, Zhen Wang, Yatao Bian

NeurIPS 2025 Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Yang Shi, Yoonchang Sung, Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Emili García Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi Subramanian, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Sebastian Rios Beltran, Oswaldo Peña, Carlos Saith Rodriguez Rojas, Manuela Chacon-Chamorro, Ruben Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Wu Ruiyang, Chetan Talele, 陆孙嘉, Gema Parreño Piqueras, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, Jose Hernandez-Orallo, Joel Z Leibo

NeurIPS 2025 Evaluating LLM-Contaminated Crowdsourcing Data Without Ground Truth Yichi Zhang, Jinlong Pang, Zhaowei Zhu, Yang Liu

AAAI 2025 Exploring Enhanced Contextual Information for Video-Level Object Tracking Ben Kang, Xin Chen, Simiao Lai, Yang Liu, Yi Liu, Dong Wang

NeurIPS 2025 Exploring Structural Degradation in Dense Representations for Self-Supervised Learning Siran Dai, Qianqian Xu, Peisong Wen, Yang Liu, Qingming Huang

AAAI 2025 FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks Da Sun Handason Tam, Huanle Xu, Yang Liu, Siyue Xie, Wing Cheong Lau

NeurIPS 2025 Federated Continual Learning via Orchestrating Multi-Scale Expertise Xiaoyang Yi, Yang Liu, Binhan Yang, Jian Zhang

ICCV 2025 FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging Zichen Tang, Haihong E, Jiacheng Liu, Zhongjun Yang, Rongjin Li, Zihua Rong, Haoyang He, Zhuodi Hao, Xinyang Hu, Kun Ji, Ziyan Ma, Mengyuan Ji, Jun Zhang, Chenghao Ma, Qianhe Zheng, Yang Liu, Yiling Huang, Xinyi Hu, Qing Huang, Zijian Xie, Shiyao Peng

AAAI 2025 From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization Xueyi Wang, Lele Zhang, Zheng Fan, Yang Liu, Chen Chen, Fang Deng

ICCV 2025 GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing Tianyang Xue, Lin Lu, Yang Liu, Mingdong Wu, Hao Dong, Yanbin Zhang, Renmin Han, Baoquan Chen

NeurIPS 2025 Generating Full-Field Evolution of Physical Dynamics from Irregular Sparse Observations Panqi Chen, Yifan Sun, Lei Cheng, Yang Yang, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang

AAAI 2025 Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval Dezhao Luo, Shaogang Gong, Jiabo Huang, Hailin Jin, Yang Liu

CVPR 2025 HSI: A Holistic Style Injector for Arbitrary Style Transfer Shuhao Zhang, Hui Kang, Yang Liu, Fang Mei, Hongjuan Li

WACV 2025 HandCraft: Anatomically Correct Restoration of Malformed Hands in Diffusion Generated Images Zhenyue Qin, Yiqun Zhang, Yang Liu, Dylan Campbell

ICCV 2025 Hierarchical Event Memory for Accurate and Low-Latency Online Video Temporal Grounding Minghang Zheng, Yuxin Peng, Benyuan Sun, Yi Yang, Yang Liu

ICCV 2025 How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in an Extensible Escape Game Ziyue Wang, Yurui Dong, Fuwen Luo, Minyuan Ruan, Zhili Cheng, Chi Chen, Peng Li, Yang Liu

AAAI 2025 Human and AI Perceptual Differences in Image Classification Errors Minghao Liu, Jiaheng Wei, Yang Liu, James Davis

CVPR 2025 Hybrid Concept Bottleneck Models Yang Liu, Tianwei Zhang, Shi Gu

NeurIPS 2025 INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning Wujian Peng, Lingchen Meng, Yitong Chen, Yiweng Xie, Yang Liu, Tao Gui, Hang Xu, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang

ICLR 2025 Improved Techniques for Optimization-Based Jailbreaking on Large Language Models Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin

ICLR 2025 Improving Data Efficiency via Curating LLM-Driven Rating Systems Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei

IJCAI 2025 In-Context Meta LoRA Generation Yihua Shao, Minxi Yan, Yang Liu, Siyu Chen, Wenjie Chen, Xinwei Long, Ziyang Yan, Lei Li, Chenyu Zhang, Nicu Sebe, Hao Tang, Yan Wang, Hao Zhao, Mengzhu Wang, Jingcai Guo

NeurIPS 2025 Incentivizing LLMs to Self-Verify Their Answers Fuxiang Zhang, Jiacheng Xu, Chaojie Wang, Ce Cui, Yang Liu, Bo An

ICLR 2025 InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li

NeurIPS 2025 LIFEBENCH: Evaluating Length Instruction Following in Large Language Models Wei Zhang, Zhenhong Zhou, Kun Wang, Junfeng Fang, Rongwu Xu, Yuanhe Zhang, Rui Wang, Ge Zhang, Xinfeng Li, Li Sun, Lingjuan Lyu, Yang Liu, Sen Su

ICLR 2025 LLM Unlearning via Loss Adjustment with Only Forget Data Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei

ICCV 2025 LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents Boyu Chen, Zhengrong Yue, Siran Chen, Zikang Wang, Yang Liu, Peng Li, Yali Wang

NeurIPS 2025 LangSplatV2: High-Dimensional 3D Language Gaussian Splatting with 450+ FPS Wanhua Li, Yujie Zhao, Minghan Qin, Yang Liu, Yuanhao Cai, Chuang Gan, Hanspeter Pfister

NeurIPS 2025 Latent Retrieval Augmented Generation of Cross-Domain Protein Binders Zishen Zhang, Xiangzhe Kong, Wenbing Huang, Yang Liu

NeurIPS 2025 Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields Xixian Liu, Rui Jiao, Zhiyuan Liu, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao

NeurIPS 2025 Learning CAD Modeling Sequences via Projection and Part Awareness Yang Liu, Daxuan Ren, Yijie Ding, Jianmin Zheng, Fang Deng

NeurIPS 2025 Learning Counterfactual Outcomes Under Rank Preservation Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang

AAAI 2025 Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval Yang Liu, Shudong Huang, Deng Xiong, Jiancheng Lv

MLJ 2025 Learning Using Statistical Invariants: When They Work and When They Don't Yang Liu, Ernest Fokoué, Daniel E. Krutz

ICCV 2025 Learning Visual Proxy for Compositional Zero-Shot Learning Shiyu Zhang, Cheng Yan, Yang Liu, Chenchen Jing, Lei Zhou, Wenjun Wang

ICLRW 2025 Learning to Watermark LLM-Generated Text via Reinforcement Learning Xiaojun Xu, Yuanshun Yao, Yang Liu

AAAI 2025 Logic-Q: Improving Deep Reinforcement Learning-Based Quantitative Trading via Program Sketch-Based Tuning Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Danny Dongning Sun

TMLR 2025 Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter Spirtes, Yang Liu, Lu Cheng

CoRL 2025 Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation Yiguo Fan, Shuanghao Bai, Xinyang Tong, Pengxiang Ding, Yuyang Zhu, Hongchao Lu, Fengqi Dai, Wei Zhao, Yang Liu, Siteng Huang, Zhaoxin Fan, Badong Chen, Donglin Wang

NeurIPS 2025 MM-OPERA: Benchmarking Open-Ended Association Reasoning for Large Vision-Language Models Zimeng Huang, Jinxin Ke, Xiaoxuan Fan, Yufeng Yang, Yang Liu, Liu Zhonghan, Zedi Wang, Junteng Dai, Haoyi Jiang, Yuyu Zhou, Keze Wang, Ziliang Chen

NeurIPS 2025 MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks Rui Jiao, Hanlin Wu, Wenbing Huang, Yuxuan Song, Yawen Ouyang, Yu Rong, Tingyang Xu, Pengju Wang, Hao Zhou, Wei-Ying Ma, Jingjing Liu, Yang Liu

AAAI 2025 MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt Yuhao Wang, Xuehu Liu, Tianyu Yan, Yang Liu, Aihua Zheng, Pingping Zhang, Huchuan Lu

ICLR 2025 MarS: A Financial Market Simulation Engine Powered by Generative Foundation Model Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

NeurIPS 2025 Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting Zinan Zheng, Yang Liu, Jia Li

ICCV 2025 Multi-Scenario Overlapping Text Segmentation with Depth Awareness Yang Liu, Xudong Xie, Yuliang Liu, Xiang Bai

AAAI 2025 Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang

ICLR 2025 Noisy Test-Time Adaptation in Vision-Language Models Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han

NeurIPS 2025 Non-Stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation Chaohao Yuan, Maoji Wen, Ercan Engin Kuruoglu, Yang Liu, Jia Li, Tingyang Xu, Deli Zhao, Hong Cheng, Yu Rong

AISTATS 2025 Nonparametric Factor Analysis and Beyond Yujia Zheng, Yang Liu, Jiaxiong Yao, Yingyao Hu, Kun Zhang

ICLR 2025 On the Role of Attention Heads in Large Language Model Safety Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li

ICCV 2025 Open-Vocabulary HOI Detection with Interaction-Aware Prompt and Concept Calibration Ting Lei, Shaofeng Yin, Qingchao Chen, Yuxin Peng, Yang Liu

ICML 2025 PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang

MLOSS 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao

ICLR 2025 PINP: Physics-Informed Neural Predictor with Latent Estimation of Fluid Flows Huaguan Chen, Yang Liu, Hao Sun

IJCAI 2025 PeSANet: Physics-Encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems Han Wan, Rui Zhang, Qi Wang, Yang Liu, Hao Sun

AAAI 2025 Perception-Guided Jailbreak Against Text-to-Image Models Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu

ICLR 2025 PhyMPGN: Physics-Encoded Message Passing Graph Network for Spatiotemporal PDE Systems Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun

AAAI 2025 PlanLLM: Video Procedure Planning with Refinable Large Language Models Dejie Yang, Zijing Zhao, Yang Liu

ICLR 2025 Prompting Fairness: Integrating Causality to Debias Large Language Models Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu

NeurIPS 2025 PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture Yi Liu, Yang Liu, Leqian Zheng, Jue Hong, Junjie Shi, Qingyou Yang, Ye Wu, Cong Wang

NeurIPS 2025 Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Zhanfu Yang, Cuixi Li, Yang Liu, Liang Lin

CVPR 2025 ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object Zhe Shan, Yang Liu, Lei Zhou, Cheng Yan, Heng Wang, Xia Xie

ICLR 2025 Regretful Decisions Under Label Noise Sujay Nagaraj, Yang Liu, Flavio Calmon, Berk Ustun

ICML 2025 Robust Multi-Bit Text Watermark with LLM-Based Paraphrasers Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li

ICLRW 2025 Robust Multi-Bit Text Watermark with LLM-Based Paraphrasers Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li

NeurIPS 2025 Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection Zheng Zhan, Liliang Ren, Shuohang Wang, Liyuan Liu, Yang Liu, Yeyun Gong, Yanzhi Wang, Yelong Shen

AAAI 2025 S3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao

IJCAI 2025 SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Sheng Zhong

NeurIPS 2025 SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning Yang Liu, Ming Ma, Xiaomin Yu, Pengxiang Ding, Han Zhao, Mingyang Sun, Siteng Huang, Donglin Wang

ICLR 2025 STAFF: Speculative Coreset Selection for Task-Specific Fine-Tuning Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu

ICLR 2025 Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen

CVPR 2025 SceneTAP: Scene-Coherent Typographic Adversarial Planner Against Vision-Language Models in Real-World Environments Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor Tsang, Yang Liu, Qing Guo

NeurIPS 2025 SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG Xiaonan Si, Meilin Zhu, Simeng Qin, Lijia Yu, Lijun Zhang, Shuaitong Liu, Xinfeng Li, Ranjie Duan, Yang Liu, Xiaojun Jia

CVPR 2025 SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories Muzhi Zhu, Yuzhuo Tian, Hao Chen, Chunluan Zhou, Qingpei Guo, Yang Liu, Ming Yang, Chunhua Shen

ICML 2025 Self-Cross Feature Based Spiking Neural Networks for Efficient Few-Shot Learning Qi Xu, Junyang Zhu, Dongdong Zhou, Hao Chen, Yang Liu, Jiangrong Shen, Qiang Zhang

IJCAI 2025 Sharpness-Aware Zeroth-Order Optimization for Graph Transformers Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan

ICLR 2025 SimXRD-4m: Big Simulated X-Ray Diffraction Data and Crystal Symmetry Classification Benchmark Bin Cao, Yang Liu, Zinan Zheng, Ruifeng Tan, Jia Li, Tong-yi Zhang

NeurIPS 2025 TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfer Yang Liu, Chuanchen Luo, Zimo Tang, Yingyan Li, Yuran Yang, Yuanyong Ning, Lue Fan, Junran Peng, Zhaoxiang Zhang

ICCV 2025 TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-Enhanced Relation-Aware Knowledge Transferring Zhu Xu, Ting Lei, Zhimin Li, Guan Wang, Qingchao Chen, Yuxin Peng, Yang Liu

AISTATS 2025 To Give or Not to Give? the Impacts of Strategically Withheld Recourse Yatong Chen, Andrew Estornell, Yevgeniy Vorobeychik, Yang Liu

ICML 2025 Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu

ICCV 2025 ToolVQA: A Dataset for Multi-Step Reasoning VQA with External Tools Shaofeng Yin, Ting Lei, Yang Liu

CVPR 2025 Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method Xinshuai Song, Weixing Chen, Yang Liu, Weikai Chen, Guanbin Li, Liang Lin

NeurIPS 2025 Towards Minimizing Feature Drift in Model Merging: Layer-Wise Task Vector Fusion for Adaptive Knowledge Integration Wenju Sun, Qingyong Li, Wen Wang, Yang Liu, Yangliao Geng, Boyang Li

ICML 2025 Understanding Chain-of-Thought in LLMs Through Information Theory Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu

ICML 2025 UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Wenbing Huang, Kai Liu, Yang Liu

ICML 2025 UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules Ziyang Yu, Wenbing Huang, Yang Liu

ICCV 2025 Unified Open-World Segmentation with Multi-Modal Prompts Yang Liu, Yufei Yin, Chenchen Jing, Muzhi Zhu, Hao Chen, Yuling Xi, Bo Feng, Hao Wang, Shiyu Li, Chunhua Shen

ICCV 2025 VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges Yuxuan Wang, Yiqi Song, Cihang Xie, Yang Liu, Zilong Zheng

CVPR 2025 WeakMCN: Multi-Task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation Silin Cheng, Yang Liu, Xinwei He, Sebastien Ourselin, Lei Tan, Gen Luo

ICLR 2025 When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction Zhenchang Xing, Yang Liu, Zhuo Cheng, Qing Huang, Dehai Zhao, Daniel Sun, Chenhua Liu

CVPR 2025 When the Future Becomes the past: Taming Temporal Correspondence for Self-Supervised Video Representation Learning Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang

ICML 2025 Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao, Wenbing Huang, Stefano Ermon, Jianzhu Ma, Yang Liu

ICLR 2024 3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining Siming Yan, Yuqi Yang, Yu-Xiao Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Qixing Huang

NeurIPS 2024 3D Structure Prediction of Atomic Systems with Flow-Based Direct Preference Optimization Rui Jiao, Xiangzhe Kong, Wenbing Huang, Yang Liu

IJCAI 2024 3D Vision and Language Pretraining with Large-Scale Synthetic Data Dejie Yang, Zhu Xu, Wentao Mo, Qingchao Chen, Siyuan Huang, Yang Liu

IJCAI 2024 A General Black-Box Adversarial Attack on Graph-Based Fake News Detectors Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang

NeurIPS 2024 A Simple Image Segmentation Framework via In-Context Examples Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen

CVPR 2024 A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network Ruichen Ma, Guanchao Qiao, Yian Liu, Liwei Meng, Ning Ning, Yang Liu, Shaogang Hu

NeurIPS 2024 Achievable Fairness on Your Data with Utility Guarantees Muhammad Faaiz Taufiq, Jean-François Ton, Yang Liu

CVPR 2024 Active Object Detection with Knowledge Aggregation and Distillation from Large Models Dejie Yang, Yang Liu

CVPR 2024 An Upload-Efficient Scheme for Transferring Knowledge from a Server-Side Pre-Trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

ICLR 2024 BadEdit: Backdooring Large Language Models by Model Editing Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu

ICLR 2024 Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective Kuan Li, YiWen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao

AAAI 2024 Bridging the Gap Between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA Wentao Mo, Yang Liu

ECCV 2024 CityGaussian: Real-Time High-Quality Large-Scale Scene Rendering with Gaussians Yang Liu, Chuanchen Luo, Lue Fan, Naiyan Wang, Junran Peng, Zhaoxiang Zhang

JMLR 2024 Cluster-Adaptive Network A/B Testing: From Randomization to Estimation Yang Liu, Yifan Zhou, Ping Li, Feifang Hu

CVPR 2024 CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal

AAAI 2024 Comprehensive Visual Grounding for Video Description Wenhui Jiang, Yibo Cheng, Linxin Liu, Yuming Fang, Yuxin Peng, Yang Liu

ICLRW 2024 Conditional Transformer Fine-Tuning by Adaptive Layer Skipping Xingjian Zhang, Jiaxi Tang, Yang Liu, Xinyang Yi, Li Wei, Lichan Hong, Qiaozhu Mei, Ed H. Chi

CVPR 2024 CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu

NeurIPS 2024 Customized Subgraph Selection and Encoding for Drug-Drug Interaction Prediction Haotong Du, Quanming Yao, Juzheng Zhang, Yang Liu, Zhen Wang

DMLR 2024 DMLR: Data-Centric Machine Learning Research - Past, Present and Future Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William A Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlaš, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

CVPR 2024 De-Confounded Data-Free Knowledge Distillation for Handling Distribution Shifts Yuzheng Wang, Dingkang Yang, Zhaoyu Chen, Yang Liu, Siao Liu, Wenqiang Zhang, Lihua Zhang, Lizhe Qi

IJCAI 2024 Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames Kai Cheng, Yaning Pan, Yang Liu, Xinhua Zeng, Rui Feng

CVPR 2024 Diff-BGM: A Diffusion Model for Video Background Music Generation Sizhe Li, Yiming Qin, Minghang Zheng, Xin Jin, Yang Liu

CVPR 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data Chengxiang Fan, Muzhi Zhu, Hao Chen, Yang Liu, Weijia Wu, Huaqi Zhang, Chunhua Shen

ECCV 2024 EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding Wenhua Wu, Qi Wang, Guangming Wang, Junping Wang, Tiankun Zhao, Yang Liu, Dongchao Gao, Zhe Liu, Hesheng Wang

CVPR 2024 EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu

ICML 2024 Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han

ICML 2024 Equivariant Diffusion for Crystal Structure Prediction Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Cen Jianhuan, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu

TMLR 2024 Equivariant Graph Learning for High-Density Crowd Trajectories Modeling Yang Liu, Zinan Zheng, Yu Rong, Jia Li

ICLRW 2024 Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules Rui Jiao, Xiangzhe Kong, Ziyang Yu, Wenbing Huang, Yang Liu

CVPR 2024 EvalCrafter: Benchmarking and Evaluating Large Video Generation Models Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond Chan, Ying Shan

ECCV 2024 Exploring Conditional Multi-Modal Prompts for Zero-Shot HOI Detection Ting Lei, Shaofeng Yin, Yuxin Peng, Yang Liu

CVPR 2024 Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection Ting Lei, Shaofeng Yin, Yang Liu

ICLRW 2024 FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering Siqi Ping, Yuzhu Mao, Yang Liu, Xiao-Ping Zhang, Wenbo Ding

NeurIPSW 2024 FSD: Acoustic Echo Cancellation with Fewer Step Diffusion Yang Liu, Li Wan, Yiteng Huang, Ming Sun, Changsheng Zhao, Zhaoheng Ni, Xinhao Mei, Yangyang Shi, Florian Metze

CVPR 2024 FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun

ICLRW 2024 FacePhi: Lightweight Multimodal Large Language Model for Facial Landmark Emotion Recognition Hongjin Zhao, Zheyuan Liu, Yang Liu, Zhenyue Qin, Jiaxu Liu, Tom Gedeon

ICLR 2024 Fair Classifiers That Abstain Without Harm Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu

AAAI 2024 Fair Participation via Sequential Policies Reilly Raab, Ross Boczar, Maryam Fazel, Yang Liu

NeurIPS 2024 Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu

CVPR 2024 Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM Pingping Zhang, Tianyu Yan, Yang Liu, Huchuan Lu

AAAI 2024 FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu

NeurIPS 2024 FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen

AAAI 2024 FedMut: Generalized Federated Learning via Stochastic Mutation Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu

AAAI 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

IJCAI 2024 Federated Adaptation for Foundation Model-Based Recommendations Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang

ECCV 2024 Federated Learning with Local Openset Noisy Labels Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu

ICLR 2024 Few-Shot Hybrid Domain Adaptation of Image Generator Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Wenxiao Wang, Tu Zheng, Zheng Yang, Xiaohui Zhong, Xiaobo Ren, Xiaofei He

NeurIPS 2024 Full-Atom Peptide Design with Geometric Latent Diffusion Xiangzhe Kong, Yinjun Jia, Wenbing Huang, Yang Liu

ICML 2024 Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning Xiangzhe Kong, Wenbing Huang, Yang Liu

ICML 2024 Generative Active Learning for Long-Tailed Instance Segmentation Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen

ICML 2024 Graph Distillation with Eigenbasis Matching Yang Liu, Deyu Bo, Chuan Shi

ICLR 2024 IRAD: Implicit Representation-Driven Image Resampling Against Adversarial Attacks Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor Tsang, Yang Liu, Qing Guo

CLeaR 2024 Implicit and Explicit Policy Constraints for Offline Reinforcement Learning Yang Liu, Marius Hofert

MLJ 2024 Improving Fraud Detection via Imbalanced Graph Structure Learning Lingfei Ren, Ruimin Hu, Yang Liu, Dengshi Li, Junhang Wu, Yilong Zang, Wenyi Hu

ICML 2024 Improving Neural Logic Machines via Failure Reflection Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu

AAAI 2024 Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification Jimmy Lin, Junkai Li, Jiasi Gao, Weizhi Ma, Yang Liu

AAAI 2024 Knowledge Graph Error Detection with Contrastive Confidence Adaption Xiangyu Liu, Yang Liu, Wei Hu

IJCAI 2024 Label Leakage in Vertical Federated Learning: A Survey Yige Liu, Yiwei Lou, Yang Liu, Yongzhi Cao, Hanpin Wang

NeurIPS 2024 Large Language Model Unlearning via Embedding-Corrupted Prompts Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu

NeurIPSW 2024 Learning Effective NeRFs and SDFs Representations with 3D GANs for Object Generation Zheyuan Yang, Yibo Liu, Guile Wu, Tongtong Cao, Yuan Ren, Yang Liu, Bingbing Liu

NeurIPS 2024 Learning Superconductivity from Ordered and Disordered Material Structures Pin Chen, Luoxuan Peng, Rui Jiao, Qing Mo, Zhen Wang, Wenbing Huang, Yang Liu, Yutong Lu

NeurIPS 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu

IJCAI 2024 MAS-SAM: Segment Any Marine Animal with Aggregated Features Tianyu Yan, Zifu Wan, Xinhao Deng, Pingping Zhang, Yang Liu, Huchuan Lu

ICML 2024 MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang

CVPR 2024 Magic Tokens: Select Diverse Tokens for Multi-Modal Object Re-Identification Pingping Zhang, Yuhao Wang, Yang Liu, Zhengzheng Tu, Huchuan Lu

ICLR 2024 Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen

NeurIPS 2024 Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu

NeurIPS 2024 Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs Xin Ma, Yang Liu, Jingjing Liu, Xiaoxu Ma

NeurIPS 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation Xiaoying Zhang, Jean-François Ton, Wei Shen, Hongning Wang, Yang Liu

NeurIPS 2024 Multi-LLM Debate: Framework, Principals, and Interventions Andrew Estornell, Yang Liu

ICML 2024 Multi-View Clustering by Inter-Cluster Connectivity Guided Reward Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv

AAAI 2024 Novel Class Discovery in Chest X-Rays via Paired Images and Text Jiaying Zhou, Yang Liu, Qingchao Chen

CVPR 2024 OED: Towards One-Stage End-to-End Dynamic Scene Graph Generation Guan Wang, Zhimin Li, Qingchao Chen, Yang Liu

ICMLW 2024 On the Multi-Modal Vulnerability of Diffusion Models Dingcheng Yang, Yang Bai, Xiaojun Jia, Yang Liu, Xiaochun Cao, Wenjian Yu

ICLR 2024 OpenChat: Advancing Open-Source Language Models with Mixed-Quality Data Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu

NeurIPS 2024 P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for Efficient Prediction of Spatiotemporal Dynamics Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

AAAI 2024 Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu

ICML 2024 Performative Prediction with Bandit Feedback: Learning Through Reparameterization Yatong Chen, Wei Tang, Chien-Ju Ho, Yang Liu

AAAI 2024 Personalization as a Shortcut for Few-Shot Backdoor Attack Against Text-to-Image Diffusion Models Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu

ECCV 2024 PiTe: Pixel-Temporal Alignment for Large Video-Language Model Yang Liu, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang

ICML 2024 Position: Towards Unified Alignment Between Agents, Humans, and Environment Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

ICLR 2024 Post-Hoc Bias Scoring Is Optimal for Fair Classification Wenlong Chen, Yegor Klochkov, Yang Liu

ICLR 2024 Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang

AAAI 2024 Providing Fair Recourse over Plausible Groups Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu

ECCV 2024 Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising JiaHua Xiao, Yang Liu, Xing Wei

ICLR 2024 Reinforcement Symbolic Regression Machine Yilong Xu, Yang Liu, Hao Sun

ICLR 2024 Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction Ziyang Yu, Wenbing Huang, Yang Liu

AAAI 2024 Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models Yang Liu

ICLR 2024 RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun

ICLR 2024 SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong

NeurIPS 2024 Scalable Optimization in the Modular Norm Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein

ICML 2024 Semantic-Aware Human Object Interaction Image Generation Zhu Xu, Qingchao Chen, Yuxin Peng, Yang Liu

AAAI 2024 Semantic-Guided Novel Category Discovery Weishuai Wang, Ting Lei, Qingchao Chen, Yang Liu

ICLR 2024 Space Group Constrained Crystal Generation Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu

ECML-PKDD 2024 Spatial Transfer Learning for Estimating PM2.5 in Data-Poor Regions Shrey Gupta, Yongbee Park, Jianzhao Bi, Suyash Gupta, Andreas Züfle, Avani Wildani, Yang Liu

ICLRW 2024 Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu

ICLRW 2024 Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu

NeurIPS 2024 TopoFR: A Closer Look at Topology Alignment on Face Recognition Jun Dan, Yang Liu, Jiankang Deng, Haoyu Xie, Siyuan Li, Baigui Sun, Shan Luo

NeurIPS 2024 Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning Mingcheng Li, Dingkang Yang, Yang Liu, Shunli Wang, Jiawei Chen, Shuaibing Wang, Jinjie Wei, Yue Jiang, Qingyao Xu, Xiaolu Hou, Mingyang Sun, Ziyun Qian, Dongliang Kou, Lihua Zhang

ECCV 2024 Towards Multimodal Sentiment Analysis Debiasing via Bias Purification Dingkang Yang, Mingcheng Li, Dongling Xiao, Yang Liu, Kun Yang, Zhaoyu Chen, Yuzheng Wang, Peng Zhai, Ke Li, Lihua Zhang

NeurIPS 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking Yuwei Zhang, Tong Xia, Jing Han, Yu Yvonne Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo

ICLRW 2024 Towards Unified Alignment Between Agents, Humans, and Environment Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, XinRui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

ECCV 2024 Training-Free Video Temporal Grounding Using Large-Scale Pre-Trained Models Minghang Zheng, Xinhao Cai, Qingchao Chen, Yuxin Peng, Yang Liu

NeurIPS 2024 Unleashing the Potential of the Diffusion Model in Few-Shot Semantic Segmentation Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen

ICLR 2024 Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu

NeurIPS 2024 User-Creator Feature Polarization in Recommender Systems with Dual Influence Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu

ICLR 2024 VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-Subject Emotion Recognition Chenyu Liu, Xinliang Zhou, Zhengri Zhu, Liming Zhai, Ziyu Jia, Yang Liu

ICLR 2024 VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou, Zixuan Gu, Yu He, Hideaki Takahashi, Yang Liu, Ya-Qin Zhang

ECCV 2024 VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving Yibo Liu, Zheyuan Yang, Guile Wu, Yuan Ren, Kejian Lin, Liu Bingbing, Yang Liu, Jinjun Shan

IJCAI 2024 VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-Based Emotion Recognition Chenyu Liu, Xinliang Zhou, Jiaping Xiao, Zhengri Zhu, Liming Zhai, Ziyu Jia, Yang Liu

IJCAI 2024 Vision-Based Discovery of Nonlinear Dynamics for 3D Moving Target Zitong Zhang, Yang Liu, Hao Sun

ECCV 2024 WAS: Dataset and Methods for Artistic Text Segmentation Xudong Xie, Yuzhe Li, Yang Liu, Zhifei Zhang, Zhaowen Wang, Wei Xiong, Xiang Bai

NeurIPS 2024 WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts Jiahuan Cao, Yang Liu, Yongxin Shi, Kai Ding, Lianwen Jin

IJCAI 2024 With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv

WACV 2024 Zero-Shot Video Moment Retrieval from Frozen Vision-Language Models Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu

ICLR 2024 ZeroFlow: Scalable Scene Flow via Distillation Kyle Vedder, Neehar Peri, Nathaniel Eliot Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays

CVPRW 2023 A Scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos Yang Liu, Luiz G. Hafemann

AAAI 2023 A Simple yet Effective Subsequence-Enhanced Approach for Cross-Domain NER Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang

ICCV 2023 AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception Dingkang Yang, Shuai Huang, Zhi Xu, Zhenpeng Li, Shunli Wang, Mingcheng Li, Yuzheng Wang, Yang Liu, Kun Yang, Zhaoyu Chen, Yan Wang, Jing Liu, Peixuan Zhang, Peng Zhai, Lihua Zhang

AAAI 2023 Anonymization for Skeleton Action Recognition Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim

AAAI 2023 AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li

AAAI 2023 Background-Mixed Augmentation for Weakly Supervised Change Detection Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu

CVPR 2023 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack Hideaki Takahashi, Jingjing Liu, Yang Liu

CVPR 2023 COT: Unsupervised Domain Adaptation with Clustering and Optimal Transport Yang Liu, Zhipeng Zhou, Baigui Sun

ICLR 2023 Conditional Antibody Design as 3D Equivariant Graph Translation Xiangzhe Kong, Wenbing Huang, Yang Liu

ICCV 2023 Confidence-Aware Pseudo-Label Learning for Weakly Supervised Visual Grounding Yang Liu, Jiahua Zhang, Qingchao Chen, Yuxin Peng

IJCAI 2023 CostFormer: Cost Transformer for Cost Aggregation in Multi-View Stereo Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie

NeurIPS 2023 Crystal Structure Prediction by Joint Equivariant Diffusion Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu

ICLRW 2023 Crystal Structure Prediction by Joint Equivariant Diffusion on Lattices and Fractional Coordinates Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu

ICLR 2023 DamoFD: Digging into Backbone Design on Face Detection Yang Liu, Jiankang Deng, Fei Wang, Lei Shang, Xuansong Xie, Baigui Sun

NeurIPSW 2023 Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, Mahdi Namazifar

NeurIPS 2023 Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung

IJCAI 2023 DenseLight: Efficient Control for Large-Scale Traffic Signals with Dense Feedback Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin

ICLR 2023 Distributionally Robust Post-Hoc Classifiers Under Prior Shifts Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar

AAAI 2023 EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang

NeurIPS 2023 Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-Modality Fusion Yang Liu, Feng Wang, Naiyan Wang, Zhao-Xiang Zhang

ICCV 2023 Efficient Adaptive Human-Object Interaction Detection with Concept-Guided Memory Ting Lei, Fabian Caba, Qingchao Chen, Hailin Jin, Yuxin Peng, Yang Liu

ICML 2023 End-to-End Full-Atom Antibody Design Xiangzhe Kong, Wenbing Huang, Yang Liu

AAAI 2023 Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu

ICCV 2023 Enhanced Soft Label for Semi-Supervised Semantic Segmentation Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li

ICML 2023 FAIRER: Fairness as Decision Rationale Alignment Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu

IJCAI 2023 Fairness via Group Contribution Matching Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu

ICCV 2023 Feature Prediction Diffusion Model for Video Anomaly Detection Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang

NeurIPSW 2023 Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning Xiangzhe Kong, Wenbing Huang, Yang Liu

NeurIPS 2023 Graph Contrastive Learning with Stable and Scalable Spectral Encoding Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi

AAAI 2023 Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li

ICML 2023 Identifiability of Label Noise Transition Matrix Yang Liu, Hao Cheng, Kun Zhang

ICML 2023 Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu

ICCV 2023 Improving Generalization in Visual Reinforcement Learning via Conflict-Aware Gradient Agreement Augmentation Siao Liu, Zhaoyu Chen, Yang Liu, Yuzheng Wang, Dingkang Yang, Zhile Zhao, Ziqing Zhou, Xie Yi, Wei Li, Wenqiang Zhang, Zhongxue Gan

AAAI 2023 Improving Training and Inference of Face Recognition Models via Random Temperature Scaling Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Wang Steven, Baigui Sun, Xuansong Xie, Yu Qiao

ICLR 2023 Improving the Imputation of Missing Data with Markov Blanket Discovery Yang Liu, Anthony Constantinou

IJCAI 2023 Incentivizing Recourse Through Auditing in Strategic Classification Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik

MLJ 2023 Information Bottleneck and Selective Noise Supervision for Zero-Shot Learning Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock

NeurIPSW 2023 Large Language Model Unlearning Yuanshun Yao, Xiaojun Xu, Yang Liu

TMLR 2023 Learning to Incentivize Improvements from Strategic Agents Yatong Chen, Jialu Wang, Yang Liu

NeurIPS 2023 Long-Term Fairness with Unknown Dynamics Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu

ICLRW 2023 Long-Term Fairness with Unknown Dynamics Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu

ICCV 2023 MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving Yibo Liu, Kelly Zhu, Guile Wu, Yuan Ren, Bingbing Liu, Yang Liu, Jinjun Shan

MLJ 2023 Machine Truth Serum: A Surprisingly Popular Approach to Improving Ensemble Methods Tianyi Luo, Yang Liu

ICCV 2023 Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection Zijing Zhao, Sitong Wei, Qingchao Chen, Dehui Li, Yifan Yang, Yuxin Peng, Yang Liu

ICLR 2023 Mitigating Memorization of Noisy Labels via Regularization Between Representations Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu

NeurIPS 2023 Model Sparsity Can Simplify Machine Unlearning Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

ICML 2023 Model Transferability with Responsive Decision Subjects Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu

ICCV 2023 Moment Detection in Long Tutorial Videos Ioana Croitoru, Simion-Vlad Bogolin, Samuel Albanie, Yang Liu, Zhaowen Wang, Seunghyun Yoon, Franck Dernoncourt, Hailin Jin, Trung Bui

ICLR 2023 Multimodal Federated Learning via Contrastive Representation Ensemble Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu

ICLRW 2023 Performative Federated Learning Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu

AAAI 2023 Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization Minghang Zheng, Sizhe Li, Qingchao Chen, Yuxin Peng, Yang Liu

ICLR 2023 Revisiting Graph Adversarial Attack and Defense from a Data Distribution Perspective Kuan Li, Yang Liu, Xiang Ao, Qing He

CVPR 2023 SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He

ICCV 2023 SKiT: A Fast Key Information Video Transformer for Online Surgical Phase Recognition Yang Liu, Jiayu Huo, Jingjing Peng, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin

ICCV 2023 SkeletonMAE: Graph-Based Masked Autoencoder for Skeleton Sequence Pre-Training Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin

CVPR 2023 Soft Augmentation for Image Classification Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan

NeurIPS 2023 Sparse Modular Activation for Efficient Sequence Modeling Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, Cheng Xiang Zhai

ICCV 2023 Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, Liang Song

NeurIPSW 2023 Supervised Fine-Tuning of Large Language Models on Human Demonstrations Through the Lens of Memorization Yubin Ge, Devamanyu Hazarika, Yang Liu, Mahdi Namazifar

ICLR 2023 Symbolic Physics Learner: Discovering Governing Equations via Monte Carlo Tree Search Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun

ICML 2023 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis Hu Sun, Ward Manchester, Meng Jin, Yang Liu, Yang Chen

IJCAI 2023 The Importance of Human-Labeled Data in the Era of LLMs Yang Liu

ICLR 2023 Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang

AAAI 2023 Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup Sijia Liu, Patrick Lange, Behnam Hedayatnia, Alexandros Papangelis, Di Jin, Andrew Wirth, Yang Liu, Dilek Hakkani-Tur

CVPR 2023 Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu

ICCV 2023 TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective Jun Dan, Yang Liu, Haoyu Xie, Jiankang Deng, Haoran Xie, Xuansong Xie, Baigui Sun

NeurIPSW 2023 Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models' Alignment Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li

NeurIPS 2023 Uncertainty-Aware Instance Reweighting for Off-Policy Learning Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C.S. Lui, Hang Li

NeurIPS 2023 Understanding and Addressing the Pitfalls of Bisimulation-Based Representations in Offline Reinforcement Learning Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche

ICLR 2023 Unified Detoxifying and Debiasing in Language Generation via Inference-Time Adaptive Optimization Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie

CVPR 2023 Unifying Vision, Text, and Layout for Universal Document Processing Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal

AAAI 2023 Unsupervised Explanation Generation via Correct Instantiations Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong

ICML 2023 Weak Proxies Are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu

AISTATS 2022 Adaptive A/B Test on Networks with Cluster Structures Yang Liu, Yifan Zhou, Ping Li, Feifang Hu

ICLR 2022 A Class of Short-Term Recurrence Anderson Mixing Methods and Their Applications Fuchao Wei, Chenglong Bao, Yang Liu

NeurIPS 2022 A Closer Look at the Adversarial Robustness of Deep Equilibrium Models Zonghan Yang, Tianyu Pang, Yang Liu

AAAI 2022 A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su

NeurIPS 2022 A Variant of Anderson Mixing with Minimal Memory Size Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang

NeurIPS 2022 Adaptive Data Debiasing Through Bounded Exploration Yifan Yang, Yang Liu, Parinaz Naghizadeh

ECCV 2022 Adversarial Contrastive Learning via Asymmetric InfoNCE Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu

NeurIPSW 2022 Anonymization for Skeleton Action Recognition Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim

ICML 2022 Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu, Jialu Wang, Yang Liu

CVPR 2022 CLRNet: Cross Layer Refinement Network for Lane Detection Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He

CVPR 2022 Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Huazhu Fu, Wei Feng, Yang Liu, Song Wang

NeurIPS 2022 Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li

AAAI 2022 Contribution-Aware Federated Learning for Smart Healthcare Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang

CVPR 2022 Cross Modal Retrieval with Querybank Normalisation Simion-Vlad Bogolin, Ioana Croitoru, Hailin Jin, Yang Liu, Samuel Albanie

AAAI 2022 DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He

CVPRW 2022 DRT: A Lightweight Single Image Deraining Recursive Transformer Yuanchu Liang, Saeed Anwar, Yang Liu

ICML 2022 Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu, Zihao Dong, Yang Liu

AAAI 2022 DialogLM: Pre-Trained Model for Long Dialogue Understanding and Summarization Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

ICML 2022 Directed Acyclic Transformer for Non-Autoregressive Machine Translation Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang

ICLR 2022 Discovering Nonlinear PDEs from Scarce Data with Physics-Encoded Learning Chengping Rao, Pu Ren, Yang Liu, Hao Sun

IJCAI 2022 Distilling Governing Laws and Source Input for Dynamical Systems from Videos Lele Luan, Yang Liu, Hao Sun

CVPR 2022 Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li

ECCV 2022 DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu

ECCV 2022 Emotion Recognition for Multiple Context Awareness Dingkang Yang, Shuai Huang, Shunli Wang, Yang Liu, Peng Zhai, Liuzhen Su, Mingcheng Li, Lihua Zhang

ICML 2022 Estimating Instance-Dependent Bayes-Label Transition Matrix Using a Deep Neural Network Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu

AAAI 2022 Exploring Motion and Appearance Information for Temporal Sentence Grounding Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu

CLeaR 2022 Fair Classification with Instance-Dependent Label Noise Songhua Wu, Mingming Gong, Bo Han, Yang Liu, Tongliang Liu

WACV 2022 Fair and Accurate Age Prediction Using Distribution Aware Data Curation and Augmentation Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici

NeurIPS 2022 Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu

NeurIPSW 2022 Fast Implicit Constrained Optimization of Non-Decomposable Objectives for Deep Networks Yatong Chen, Abhishek Kumar, Yang Liu, Ehsan Amid

NeurIPS 2022 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu

MLJ 2022 Greedy Structure Learning from Data That Contain Systematic Missing Values Yang Liu, Anthony C. Constantinou

JMLR 2022 Improving Bayesian Network Structure Learning in the Presence of Measurement Error Yang Liu, Anthony C. Constantinou, Zhigao Guo

ICML 2022 Investigating Generalization by Controlling Normalized Margin Alexander R Farhang, Jeremy D Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue

IJCAI 2022 Learning Prototype via Placeholder for Zero-Shot Recognition Zaiquan Yang, Yang Liu, Wenjia Xu, Chong Huang, Lei Zhou, Chao Tong

CVPR 2022 Learning to Affiliate: Mutual Centralized Learning for Few-Shot Classification Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He

ICLR 2022 Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu

ECCVW 2022 Masked Faces with Faced Masks Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu

ICML 2022 Metric-Fair Classifier Derandomization Jimmy Wu, Yatong Chen, Yang Liu

CVPR 2022 MogFace: Towards a Deeper Appreciation on Face Detection Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li

NeurIPS 2022 Molecule Generation by Principal Subgraph Mining and Assembling Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu

CVPRW 2022 NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen

ICLR 2022 On Robust Prefix-Tuning for Text Classification Zonghan Yang, Yang Liu

CVPR 2022 Opening up Open World Tracking Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé

AAAI 2022 Perceptual Quality Assessment of Omnidirectional Images Yuming Fang, Liping Huang, Jiebin Yan, Xuelin Liu, Yang Liu

ICLR 2022 Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao

AAAI 2022 SCALoss: Side and Corner Aligned Loss for Bounding Box Regression Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai

ECCVW 2022 Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns Zhenyue Qin, Pan Ji, Dongwoo Kim, Yang Liu, Saeed Anwar, Tom Gedeon

ICLR 2022 The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu, Tianyi Luo, Yang Liu

ICML 2022 To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama, Yang Liu

IJCAI 2022 Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao

AAAI 2022 TransZero: Attribute-Guided Transformer for Zero-Shot Learning Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You

ICML 2022 Understanding Instance-Level Impact of Fairness Constraints Jialu Wang, Xin Eric Wang, Yang Liu

ECCV 2022 Video Activity Localisation with Uncertainties in Temporal Boundary Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu

IJCAI 2022 Vision Shared and Representation Isolated Network for Person Search Yang Liu, Yingping Li, Chengyu Kong, Yuqiu Kong, Shenglan Liu, Feilong Wang

NeurIPSW 2022 Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Andy Rosenbaum, Seokhwan Kim, Yang Liu, Zhou Yu, Dilek Hakkani-Tur

CVPR 2022 Weakly Supervised Temporal Sentence Grounding with Gaussian-Based Contrastive Proposal Learning Minghang Zheng, Yanjie Huang, Qingchao Chen, Yuxin Peng, Yang Liu

AAAI 2022 Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining Minghang Zheng, Yanjie Huang, Qingchao Chen, Yang Liu

ECCV 2022 Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock

AISTATS 2021 Linear Models Are Robust Optimal Under Strategic Behavior Wei Tang, Chien-Ju Ho, Yang Liu

AISTATS 2021 Sample Elicitation Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang

CVPR 2021 A Second-Order Approach to Learning with Instance-Dependent Label Noise Zhaowei Zhu, Tongliang Liu, Yang Liu

IJCAI 2021 AVA: Adversarial Vignetting Attack Against Visual Recognition Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu

CVPR 2021 Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval Yang Liu, Qingchao Chen, Samuel Albanie

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

CVPR 2021 Auto-Exposure Fusion for Single-Image Shadow Removal Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang

NeurIPS 2021 Bandit Learning with Delayed Impact of Actions Wei Tang, Chien-Ju Ho, Yang Liu

NeurIPS 2021 Can Less Be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial Yang Liu, Jialu Wang

ICML 2021 Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels Zhaowei Zhu, Yiwen Song, Yang Liu

ICCV 2021 Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin

AAAI 2021 Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun

NeurIPS 2021 Deconvolutional Networks on Graph Data Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng

CVPR 2021 Deep Implicit Moving Least-Squares Functions for 3D Reconstruction Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu

CVPRW 2021 Detecting and Matching Related Objects with One Proposal Multiple Predictions Yang Liu, Luiz G. Hafemann, Michael Jamieson, Mehrsan Javan

AAAI 2021 EfficientDeRain: Learning Pixel-Wise Dilation Filtering for High-Efficiency Single-Image Deraining Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao

MLOSS 2021 FATE: An Industrial Grade Platform for Collaborative Learning with Data Protection Yang Liu, Tao Fan, Tianjian Chen, Qian Xu, Qiang Yang

IJCAI 2021 Fine-Tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu

ICCVW 2021 Generative Models for Multi-Illumination Color Constancy Partha Das, Yang Liu, Sezer Karaoglu, Theo Gevers

CVPR 2021 Goal-Oriented Gaze Estimation for Zero-Shot Learning Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada

NeurIPS 2021 HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning Shiming Chen, Guosen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, Ling Shao

NeurIPS 2021 How Powerful Are Performance Predictors in Neural Architecture Search? Colin White, Arber Zela, Robin Ru, Yang Liu, Frank Hutter

ICCV 2021 Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks Yu-Qi Yang, Peng-Shuai Wang, Yang Liu

CVPR 2021 Invertible Denoising Network: A Light Solution for Real Noise Removal Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina Caldwell, Tom Gedeon

ICML 2021 Learning by Turning: Neural Architecture Aware Optimisation Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue

ICCV 2021 Learning to Adversarially Blur Visual Object Tracking Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao

ICLR 2021 Learning with Instance-Dependent Label Noise: A Sample Sieve Approach Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu

AAAI 2021 Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval Qingchao Chen, Yang Liu, Samuel Albanie

IJCAI 2021 Physics-Informed Spline Learning for Nonlinear Dynamics Discovery Fangzheng Sun, Yang Liu, Hao Sun

NeurIPS 2021 Policy Learning Using Weak Supervision Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu

CVPR 2021 Privacy-Preserving Collaborative Learning with Automatic Transformation Search Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu

ICML 2021 RNNRepair: Automatic RNN Repair via Model-Based Analysis Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing

AAAI 2021 Reinforcement Learning-Based Product Delivery Frequency Control Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang

WACV 2021 Relighting Images in the Wild with a Self-Supervised Siamese Auto-Encoder Yang Liu, Alexandros Neophytou, Sunando Sengupta, Eric Sommerlade

ICLR 2021 Retrieval-Augmented Generation for Code Summarization via Hybrid GNN Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu

IJCAI 2021 Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong

NeurIPS 2021 Stochastic Anderson Mixing for Nonconvex Stochastic Optimization Fuchao Wei, Chenglong Bao, Yang Liu

ICCV 2021 TeachText: CrossModal Generalized Distillation for Text-Video Retrieval Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie, Yang Liu

ICML 2021 Understanding Instance-Level Label Noise: Disparate Impacts and Treatments Yang Liu

IJCAI 2021 Understanding Structural Vulnerability in Graph Convolutional Networks Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang

NeurIPS 2021 Unintended Selection: Persistent Qualification Rate Disparities and Interventions Reilly Raab, Yang Liu

ICCV 2021 Unpaired Learning for Deep Image Deraining with Rain Direction Regularizer Yang Liu, Ziyu Yue, Jinshan Pan, Zhixun Su

AAAI 2021 Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong

WACV 2021 WDNet: Watermark-Decomposition Network for Visible Watermark Removal Yang Liu, Zhen Zhu, Xiang Bai

ICLR 2021 When Optimizing $f$-Divergence Is Robust with Label Noise Jiaheng Wei, Yang Liu

IJCAI 2020 A Multi-Player Game for Studying Federated Learning Incentive Schemes Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang

CVPRW 2020 A Simple Discriminative Dual Semantic Auto-Encoder for Zero-Shot Classification Yang Liu, Jin Li, Xinbo Gao

AAAI 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu

ECCV 2020 Amplifying Key Cues for Human-Object-Interaction Detection Yang Liu, Qingchao Chen, Andrew Zisserman

IJCAI 2020 Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints Huanle Xu, Yang Liu, Wing Cheong Lau, Rui Li

AAAI 2020 Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu

CVPRW 2020 Deep Octree-Based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion Peng-Shuai Wang, Yang Liu, Xin Tong

ICLR 2020 Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth Igor Lovchinsky, Alon Daks, Israel Malkin, Pouya Samangouei, Ardavan Saeedi, Yang Liu, Swami Sankaranarayanan, Tomer Gafner, Ben Sternlieb, Patrick Maher, Nathan Silberman

IJCAI 2020 FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu

AAAI 2020 FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang

AAAI 2020 Generating Adversarial Examples for Holding Robustness of Source Code Processing Models Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin

IJCAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu

CVPRW 2020 GradNet Image Denoising Yang Liu, Saeed Anwar, Liang Zheng, Qi Tian

NeurIPS 2020 How Do Fair Decisions Fare in Long-Term Qualification? Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellstrom, Kun Zhang, Cheng Zhang

AAAI 2020 Image Formation Model Guided Deep Image Super-Resolution Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang

ICML 2020 Interpolation Between Residual and Non-Residual Networks Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi

ECCV 2020 Latent Topic-Aware Multi-Label Classification Jianghong Ma, Yang Liu

NeurIPS 2020 Learning Strategy-Aware Linear Classifiers Yiling Chen, Yang Liu, Chara Podimata

IJCAI 2020 Modeling Voting for System Combination in Machine Translation Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu

AAAI 2020 Multi-Zone Unit for Recurrent Neural Networks Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou

ICLR 2020 On Identifiability in Transformers Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Massimiliano Ciaramita, Roger Wattenhofer

AISTATS 2020 Online Learning Using Only Peer Prediction Yang Liu, Dave Helmbold

NeurIPS 2020 Optimal Query Complexity of Secure Stochastic Convex Optimization Wei Tang, Chien-Ju Ho, Yang Liu

ICML 2020 Peer Loss Functions: Learning from Noisy Labels Without Knowing Noise Rates Yang Liu, Hongyi Guo

WACV 2020 Pose Guided Gated Fusion for Person Re-Identification Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger

AAAI 2020 Reinforcement Learning with Perturbed Rewards Jingkang Wang, Yang Liu, Bo Li

ECCV 2020 SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu

AAAI 2020 Stealthy and Efficient Adversarial Attacks Against Deep Reinforcement Learning Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu

AAAI 2020 Structure-Aware Feature Fusion for Unsupervised Domain Adaptation Qingchao Chen, Yang Liu

WACV 2020 Synthetic Examples Improve Generalization for Rare Classes Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Neel Joshi, Markus Meister, Pietro Perona

NeurIPS 2020 Watch Out! Motion Is Blurring the Vision of Your Deep Neural Networks Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu

AAAI 2019 A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang

AAAI 2019 Bayesian Fairness Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic

AAAI 2019 Dependency Grammar Induction with a Neural Variational Transition-Based Parser Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller

NeurIPS 2019 Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks Yaqin Zhou, Shangqing Liu, Jingkai Siow, Xiaoning Du, Yang Liu

IJCAI 2019 DiffChaser: Detecting Disagreements for Deep Neural Networks Xiaofei Xie, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, Xiaohong Li

AAAI 2019 EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning Jinfu Ren, Yang Liu, Jiming Liu

IJCAI 2019 Fair and Explainable Dynamic Engagement of Crowd Workers Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng

ICML 2019 Fairness Without Harm: Decoupled Classifiers with Preference Guarantees Berk Ustun, Yang Liu, David Parkes

IJCAI 2019 Graph and Autoencoder Based Feature Extraction for Zero-Shot Learning Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao

IJCAI 2019 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai

AAAI 2019 Implanting Rational Knowledge into Distributed Representation at Morpheme Level Zi Lin, Yang Liu

IJCAI 2019 Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng

IJCAI 2019 Multi-Agent Visualization for Explaining Federated Learning Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang

AAAI 2019 Randomized Wagering Mechanisms Yiling Chen, Yang Liu, Juntao Wang

AAAI 2019 Recognizing Unseen Attribute-Object Pair with Generative Model Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

IJCAI 2019 Worst-Case Discriminative Feature Selection Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang

UAI 2018 Active Information Acquisition for Linear Optimization Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen

AAAI 2018 Asynchronous Bidirectional Decoding for Neural Machine Translation Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang

AAAI 2018 Bayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm Yikun Zhang, Jiming Liu, Yang Liu

AAAI 2018 Dictionary Learning Inspired Deep Network for Scene Recognition Yang Liu, Qingchao Chen, Wei Chen, Ian J. Wassell

AAAI 2018 Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks Yang Liu, Yi-fang Brook Wu

IJCAI 2018 Energy-Efficient Amortized Inference with Cascaded Deep Classifiers Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng

AAAI 2018 Euler Sparse Representation for Image Classification Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang

AAAI 2018 Improved Text Matching by Enhancing Mutual Information Yang Liu, Wenge Rong, Zhang Xiong

AAAI 2018 Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning Yang Liu, Chien-Ju Ho

NeurIPS 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu

IJCAI 2018 Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon

IJCAI 2018 Learning with Adaptive Neighbors for Image Clustering Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang

IJCAI 2018 Multi-Scale and Discriminative Part Detectors Based Features for Multi-Label Image Classification Gong Cheng, Decheng Gao, Yang Liu, Junwei Han

AAAI 2018 Robust Formulation for PCA: Avoiding Mean Calculation with L2, P-Norm Maximization Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao

ECCV 2018 Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song

ECCV 2018 Synthetically Supervised Feature Learning for Scene Text Recognition Yang Liu, Zhaowen Wang, Hailin Jin, Ian Wassell

IJCAI 2018 Zero Shot Learning via Low-Rank Embedded Semantic AutoEncoder Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao

AAAI 2018 Zero-Resource Neural Machine Translation with Multi-Agent Communication Game Yun Chen, Yang Liu, Victor O. K. Li

AAAI 2017 Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision Meng Zhang, Haoruo Peng, Yang Liu, Huan-Bo Luan, Maosong Sun

ICCV 2017 Centered Weight Normalization in Accelerating Training of Deep Neural Networks Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao

IJCAI 2017 Crowd Learning: Improving Online Decision Making Using Crowdsourced Data Yang Liu, Mingyan Liu

UAI 2017 Fair Optimal Stopping Policy for Matching with Mediator Yang Liu

IJCAI 2017 Joint Training for Pivot-Based Neural Machine Translation Yong Cheng, Qian Yang, Yang Liu, Maosong Sun, Wei Xu

ICCV 2017 Jointly Recognizing Object Fluents and Tasks in Egocentric Videos Yang Liu, Ping Wei, Song-Chun Zhu

AAAI 2017 Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu

ICLR 2017 Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng

IJCAI 2017 Maximum Expected Likelihood Estimation for Zero-Resource Neural Machine Translation Hao Zheng, Yong Cheng, Yang Liu

AAAI 2017 Maximum Reconstruction Estimation for Generative Latent-Variable Models Yong Cheng, Yang Liu, Wei Xu

AAAI 2017 Neural Machine Translation with Reconstruction Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li

AAAI 2017 Sequential Peer Prediction: Learning to Elicit Effort Using Posted Prices Yang Liu, Yiling Chen

UAI 2017 Stein Variational Policy Gradient Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng

CVPR 2017 Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images Zhi-Qi Cheng, Xiao Wu, Yang Liu, Xian-Sheng Hua

NeurIPS 2016 A Bandit Framework for Strategic Regression Yang Liu, Yiling Chen

IJCAI 2016 Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

AAAI 2016 Building Earth Mover's Distance on Bilingual Word Embeddings for Machine Translation Meng Zhang, Yang Liu, Huan-Bo Luan, Maosong Sun, Tatsuya Izuha, Jie Hao

ICML 2016 Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Qiang Cheng, Guoliang Chen, Jie Chen, Jingdong Chen, Zhijie Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Ke Ding, Niandong Du, Erich Elsen, Jesse Engel, Weiwei Fang, Linxi Fan, Christopher Fougner, Liang Gao, Caixia Gong, Awni Hannun, Tony Han, Lappi Johannes, Bing Jiang, Cai Ju, Billy Jun, Patrick LeGresley, Libby Lin, Junjie Liu, Yang Liu, Weigao Li, Xiangang Li, Dongpeng Ma, Sharan Narang, Andrew Ng, Sherjil Ozair, Yiping Peng, Ryan Prenger, Sheng Qian, Zongfeng Quan, Jonathan Raiman, Vinay Rao, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Kavya Srinet, Anuroop Sriram, Haiyuan Tang, Liliang Tang, Chong Wang, Jidong Wang, Kaifu Wang, Yi Wang, Zhijian Wang, Zhiqian Wang, Shuang Wu, Likai Wei, Bo Xiao, Wen Xie, Yan Xie, Dani Yogatama, Bin Yuan, Jun Zhan, Zhenyao Zhu

AAAI 2016 Finding One's Best Crowd: Online Learning by Exploiting Source Similarity Yang Liu, Mingyan Liu

AAAI 2016 Implicit Discourse Relation Classification via Multi-Task Neural Networks Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui

AAAI 2016 Is It Harmful When Advisors Only Pretend to Be Honest? Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu

IJCAI 2016 Learning to Incentivize: Eliciting Effort via Output Agreement Yang Liu, Yiling Chen

CVPR 2016 Multi-View People Tracking via Hierarchical Trajectory Composition Yuanlu Xu, Xiaobai Liu, Yang Liu, Song-Chun Zhu

JAIR 2016 ProMoca: Probabilistic Modeling and Analysis of Agents in Commitment Protocols Akin Günay, Yang Liu, Jie Zhang

ECCV 2016 Support Discrimination Dictionary Learning for Image Classification Yang Liu, Wei Chen, Qingchao Chen, Ian J. Wassell

AAAI 2016 To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation Christian Hadiwinoto, Yang Liu, Hwee Tou Ng

AAAI 2015 A Novel Neural Topic Model and Its Supervised Extension Ziqiang Cao, Sujian Li, Yang Liu, Wenjie Li, Heng Ji

AAAI 2015 Automated Analysis of Commitment Protocols Using Probabilistic Model Checking Akin Günay, Songzheng Song, Yang Liu, Jie Zhang

AAAI 2015 Contrastive Unsupervised Word Alignment with Non-Local Features Yang Liu, Maosong Sun

UAI 2015 Fast Relative-Error Approximation Algorithm for Ridge Regression Shouyuan Chen, Yang Liu, Michael R. Lyu, Irwin King, Shengyu Zhang

IJCAI 2015 Iterative Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora Meiping Dong, Yang Liu, Huan-Bo Luan, Maosong Sun, Tatsuya Izuha, Dakun Zhang

IJCAI 2015 Joint POS Tagging and Text Normalization for Informal Text Chen Li, Yang Liu

AAAI 2015 Learning Entity and Relation Embeddings for Knowledge Graph Completion Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu

IJCAI 2015 Quantifying Robustness of Trust Systems Against Collusive Unfair Rating Attacks Using Information Theory Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu

AAAI 2015 Topical Word Embeddings Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

CVPRW 2014 Video-Based Object Recognition Using Novel Set-of-Sets Representations Yang Liu, Youngkyoon Jang, Woontack Woo, Tae-Kyun Kim

AAAI 2013 An Extended GHKM Algorithm for Inducing Lambda-SCFG Peng Li, Yang Liu, Maosong Sun

IJCAI 2013 Improving Question Retrieval in Community Question Answering Using World Knowledge Guangyou Zhou, Yang Liu, Fang Liu, Daojian Zeng, Jun Zhao

IJCAI 2013 Opinion Target Extraction Using Partially-Supervised Word Alignment Model Kang Liu, Heng Li Xu, Yang Liu, Jun Zhao

CVPR 2013 Weakly-Supervised Dual Clustering for Image Semantic Segmentation Yang Liu, Jing Liu, Zechao Li, Jinhui Tang, Hanqing Lu

AAAI 2012 Sequence Labeling with Non-Negative Weighted Higher Order Features Xian Qian, Yang Liu

AAAI 2011 Ordinal Regression via Manifold Learning Yang Liu, Yan Liu, Keith C. C. Chan

AAAI 2010 Forest-Based Semantic Role Labeling Hao Xiong, Haitao Mi, Yang Liu, Qun Liu

AAAI 2010 Multilinear Maximum Distance Embedding via L1-Norm Optimization Yang Liu, Yan Liu, Keith C. C. Chan

ICCVW 2009 Multilinear Isometric Embedding for Visual Pattern Analysis Yan Liu, Yang Liu, Keith C. C. Chan