Liu, Wei

271 publications

ICML 2025 Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li

AAAI 2025 Assessing Vulnerabilities in State-of-the-Art Large Language Models Through Hex Injection (Student Abstract) Da Cheng Gu, Wei Liu

ICLR 2025 Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

AAAI 2025 Auto-Regressive Diffusion for Generating 3D Human-Object Interactions Zichen Geng, Zeeshan Hayder, Wei Liu, Ajmal Saeed Mian

ICLR 2025 Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li

ICML 2025 Bring Reason to Vision: Understanding Perception and Reasoning Through Model Merging Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He

NeurIPS 2025 CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching Chen Chen, Pengsheng Guo, Liangchen Song, Jiasen Lu, Rui Qian, Tsu-Jui Fu, Xinze Wang, Wei Liu, Yinfei Yang, Alex Schwing

AAAI 2025 ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

TMLR 2025 Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization Wei Liu, Anweshit Panda, Ujwal Pandey, Christopher Brissette, Yikang Shen, George Slota, Naigang Wang, Jie Chen, Yangyang Xu

WACV 2025 Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios Yongkang Cheng, Mingjiang Liang, Shaoli Huang, Gaoge Han, Jifeng Ning, Wei Liu

IJCAI 2025 Decision-Aware Preference Modeling for Multi-Behavior Recommendation Qingfeng Li, Wei Liu, Zaiqiao Meng, Jian Yin

ICLR 2025 DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks Wei Liu, Li Yang, Mingxuan Zhao, Shuxun Wang, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu

ICML 2025 Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng

ICLRW 2025 Diving into Self-Evolve Training for Multimodal Reasoning Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He

ICML 2025 Diving into Self-Evolving Training for Multimodal Reasoning Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He

ICCV 2025 ETVA: Evaluation of Text-to-Video Alignment via Fine-Grained Question Generation and Answering Kaisi Guan, Zhengfeng Lai, Yuchong Sun, Peng Zhang, Wei Liu, Kieran Liu, Meng Cao, Ruihua Song

AAAI 2025 Enhancing Multi-View Classification Reliability with Adaptive Rejection Wei Liu, Yufei Chen, Xiaodong Yue

CVPR 2025 Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild Wei Liu, Yufei Chen, Xiaodong Yue

ICLRW 2025 Fast and Accurate Antibody Sequence Design via Structure Retrieval Xingyi Zhang, Kun Xie, Ningqiao Huang, Wei Liu, Peilin Zhao, Sibo Wang, Kangfei Zhao, Biaobin Jiang

ICCV 2025 Fix-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text Bingchao Wang, Zhiwei Ning, Jianyu Ding, Xuanang Gao, Yin Li, Dongsheng Jiang, Jie Yang, Wei Liu

AAAI 2025 Follow-Your-Click: Open-Domain Regional Image Animation via Motion Prompts Yue Ma, Yingqing He, Hongfa Wang, Andong Wang, Leqi Shen, Chenyang Qi, Jixuan Ying, Chengfei Cai, Zhifeng Li, Heung-Yeung Shum, Wei Liu, Qifeng Chen

AAAI 2025 GIM: A Million-Scale Benchmark for Generative Image Manipulation Detection and Localization Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu

ICCV 2025 GraspCoT: Integrating Physical Property Reasoning for 6-DoF Grasping Under Flexible Language Instructions Xiaomeng Chu, Jiajun Deng, Guoliang You, Wei Liu, Xingchen Li, Jianmin Ji, Yanyong Zhang

ICCV 2025 HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss Yi Huang, Ke Zhang, Wei Liu, Yuanyuan Wang, Vishal M. Patel, Le Lu, Xu Han, Dakai Jin, Ke Yan

IJCAI 2025 HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection Tengyu Zhang, Deyu Zeng, Baoqiang Li, Wei Wang, Wei Liu, Zongze Wu

CVPR 2025 IDOL: Instant Photorealistic 3D Human Creation from a Single Image Yiyu Zhuang, Jiaxi Lv, Hao Wen, Qing Shuai, Ailing Zeng, Hao Zhu, Shifeng Chen, Yujiu Yang, Xun Cao, Wei Liu

AAAI 2025 Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation Qihua Chen, Yue Ma, Hongfa Wang, Junkun Yuan, Wenzhe Zhao, Qi Tian, Hongmei Wang, Shaobo Min, Qifeng Chen, Wei Liu

ICLR 2025 Is Your Model Really a Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang

AAAI 2025 Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm Jinrong Zhang, Penghui Wang, Chunxiao Liu, Wei Liu, Dian Jin, Qiong Zhang, Erli Meng, Zhengnan Hu

AAAI 2025 Local Conditional Controlling for Text-to-Image Diffusion Models Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Zheng Yang, Xiaofei He, Wei Zhao, Qinglin Lu, Wei Liu, Boxi Wu

NeurIPS 2025 MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks Dengfeng Xue, Wenjuan Li, Yifan Lu, Chunfeng Yuan, Yufan Liu, Wei Liu, Man Yao, Li Yang, Guoqi Li, Bing Li, Stephen Maybank, Weiming Hu, Zhetao Li

AAAI 2025 Modeling All Response Surfaces in One for Conditional Search Spaces Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao

AAAI 2025 MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls Yuxuan Bian, Ailing Zeng, Xuan Ju, Xian Liu, Zhaoyang Zhang, Wei Liu, Qiang Xu

NeurIPS 2025 Multi-SWE-Bench: A Multilingual Benchmark for Issue Resolving Daoguang Zan, Zhirong Huang, Wei Liu, Hanwu Chen, Shulin Xin, Linhao Zhang, Qi Liu, Aoyan Li, Lu Chen, Xiaojian Zhong, Siyao Liu, Yongsheng Xiao, Liangqiang Chen, Yuyu Zhang, Jing Su, Tianyu Liu, Rui Long, Ming Ding, Liang Xiang

NeurIPS 2025 Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization Yang Qiu, Yixiong Zou, Jun Wang, Wei Liu, Xiangyu Fu, Ruixuan Li

WACV 2025 ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model Gaoge Han, Mingjiang Liang, Jinglei Tang, Yongkang Cheng, Wei Liu, Shaoli Huang

NeurIPS 2025 Retro-R1: LLM-Based Agentic Retrosynthesis Wei Liu, Jiangtao Feng, Hongli Yu, Yuxuan Song, Yuqiang Li, Shufei Zhang, Lei Bai, Wei-Ying Ma, Hao Zhou

MLJ 2025 Revealing Vulnerable Regions Through Diverse Adversarial Examples Yunce Zhao, Wei Huang, Wei Liu, Xin Yao

WACV 2025 RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior Mingjiang Liang, Yongkang Cheng, Hualin Liang, Shaoli Huang, Wei Liu

ICCV 2025 STIV: Scalable Text and Image Conditioned Video Generation Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Lezhi Li, Yinfei Yang, Yizhou Sun, Kai-Wei Chang

ICLR 2025 Scaling Large Language Model-Based Multi-Agent Collaboration Chen Qian, Zihao Xie, YiFei Wang, Wei Liu, Kunlun Zhu, Hanchen Xia, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun

AAAI 2025 Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology Xiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu

ICLRW 2025 Stiv: Scalable Text and Image Conditioned Video Generation Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Yifan Jiang, Lezhi Li, Yizhou Sun, Kai-Wei Chang, Yinfei Yang

IJCAI 2025 Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu

AAAI 2025 Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision Wei Liu, Li Yang, Mingxuan Zhao, Dengfeng Xue, Shuxun Wang, Boyu Cai, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu

ICLR 2025 Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling Jingyun Xue, Hongfa Wang, Qi Tian, Yue Ma, Andong Wang, Zhiyuan Zhao, Shaobo Min, Wenzhe Zhao, Kaihao Zhang, Heung-Yeung Shum, Wei Liu, Mengyang Liu, Wenhan Luo

ICML 2025 UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Qin Guo, Ailing Zeng, Dongxu Yue, Ceyuan Yang, Yang Cao, Hanzhong Guo, Fei Shen, Wei Liu, Xihui Liu, Dan Xu

ICLR 2025 UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen

ICCV 2025 WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions Zizhang Li, Hong-Xing Yu, Wei Liu, Yin Yang, Charles Herrmann, Gordon Wetzstein, Jiajun Wu

NeurIPS 2024 $\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation Weiquan Wang, Jun Xiao, Chunping Wang, Wei Liu, Zhao Wang, Long Chen

NeurIPS 2024 AFBench: A Large-Scale Benchmark for Airfoil Design Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang

NeurIPS 2024 Autonomous Agents for Collaborative Task Under Information Asymmetry Wei Liu, Chenxi Wang, Yifei Wang, Zihao Xie, Rennai Qiu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Chen Qian

CVPR 2024 BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu

AAAI 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li

AAAI 2024 DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Zhendong Mao

ICLR 2024 EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan

NeurIPS 2024 Empowering and Assessing the Utility of Large Language Models in Crop Science Hang Zhang, Jiawei Sun, Renqi Chen, Wei Liu, Zhonghang Yuan, Xinzhe Zheng, Zhefan Wang, Zhiyuan Yang, Hang Yan, Hansen Zhong, Xiqing Wang, Wanli Ouyang, Fan Yang, Nanqing Dong

ICLR 2024 Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain Yiming Gao, Feiyu Liu, Liang Wang, Dehua Zheng, Zhenjie Lian, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Yang Wei, Lanxiao Huang, Wei Liu

ICLR 2024 Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu

NeurIPS 2024 Is the MMI Criterion Necessary for Interpretability? Degenerating Non-Causal Features to Plain Noise for Self-Rationalization Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li

ICLR 2024 LanguageBind: Extending Video-Language Pretraining to N-Modality by Language-Based Semantic Alignment Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui, Wang HongFa, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Cai Wan Zhang, Zhifeng Li, Wei Liu, Li Yuan

AAAI 2024 MathAttack: Attacking Large Language Models Towards Math Solving Ability Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang

CVPR 2024 Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang

ECCV 2024 OMG: Occlusion-Friendly Personalized Multi-Concept Generation in Diffusion Models Zhe Kong, Yong Zhang, Tianyu Yang, Tao Wang, Kaihao Zhang, Bizhu Wu, Guanying Chen, Wei Liu, Wenhan Luo

NeurIPS 2024 OPUS: Occupancy Prediction Using a Sparse Set Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng

ICLRW 2024 Optimizing Computationally-Intensive Simulations Using a Biologically-Inspired Acquisition Function and a Fourier Neural Operator Surrogate John P. Lins, Wei Liu

ECCV 2024 Prompting Future Driven Diffusion Model for Hand Motion Prediction Bowen Tang, Kaihao Zhang, Wenhan Luo, Wei Liu, Hongdong Li

MLJ 2024 Reversible Jump Attack to Textual Classifiers with Modification Reduction Mingze Ni, Zhensu Sun, Wei Liu

AAAI 2024 SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang

AAAI 2024 SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger Yuting Gao, Jinfeng Liu, Zihan Xu, Tong Wu, Enwei Zhang, Ke Li, Jie Yang, Wei Liu, Xing Sun

NeurIPS 2024 United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories Tianlong Xu, Chen Wang, Gaoyang Liu, Yang Yang, Kai Peng, Wei Liu

NeurIPS 2024 Unlearnable 3D Point Clouds: Class-Wise Transformation Is All You Need Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin

ICLR 2024 What Makes Good Data for Alignment? a Comprehensive Study of Automatic Data Selection in Instruction Tuning Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He

AAAI 2023 Adjective Scale Probe: Can Language Models Encode Formal Semantics Information? Wei Liu, Ming Xiang, Nai Ding

JMLR 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity Wei Liu, Xin Liu, Xiaojun Chen

NeurIPSW 2023 Automated Diffraction Pattern Analysis for Identifying Crystal Systems Using Multiview Opinion Fusion Machine Learning Jie Chen, Hengrui Zhang, Carolin B Wahl, Wei Liu, Chad Mirkin, Vinayak Dravid, Daniel W Apley, Wei Chen

AAAI 2023 CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation Tianxiang Ma, Bingchuan Li, Wei Liu, Miao Hua, Jing Dong, Tieniu Tan

NeurIPS 2023 D-Separation for Causal Self-Explanation Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, YuanKai Zhang, Yang Qiu

AAAI 2023 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian

WACV 2023 DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings Bingchuan Li, Shaofei Cai, Wei Liu, Peng Zhang, Qian He, Miao Hua, Zili Yi

NeurIPS 2023 Evaluating Post-Hoc Explanations for Graph Neural Networks via Robustness Analysis Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He

NeurIPS 2023 Exploiting Contextual Objects and Relations for 3D Visual Grounding Li Yang, Chunfeng Yuan, Ziqi Zhang, Zhongang Qi, Yan Xu, Wei Liu, Ying Shan, Bing Li, Weiping Yang, Peng Li, Yan Wang, Weiming Hu

AAAI 2023 Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract) Mingze Ni, Zhensu Sun, Wei Liu

IJCAI 2023 HDFormer: High-Order Directed Transformer for 3D Human Pose Estimation Han-Yuan Chen, Jun-Yan He, Wangmeng Xiang, Zhi-Qi Cheng, Wei Liu, Hanbing Liu, Bin Luo, Yifeng Geng, Xuansong Xie

ICCV 2023 Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, Jian Zhao, Zhu Teng

ICLRW 2023 Model-Based Unknown Input Estimation via Partially Observable Markov Decision Processes Wei Liu, Zhilu Lai, Charikleia Stoura, Kiran Bacsa, Eleni Chatzi

AAAI 2023 PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun

AutoML 2023 Poisson Process for Bayesian Optimization Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao

NeurIPS 2023 Punctuation-Level Attack: Single-Shot and Single Punctuation Can Fool Text Models Wenqiang Wang, Chongyang Du, Tao Wang, Kaihao Zhang, Wenhan Luo, Lin Ma, Wei Liu, Xiaochun Cao

AAAI 2023 ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing Bingchuan Li, Tianxiang Ma, Peng Zhang, Miao Hua, Wei Liu, Qian He, Zili Yi

AAAI 2023 Safe Multi-View Deep Classification Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie

CVPR 2023 Seeing What You Miss: Vision-Language Pre-Training with Semantic Completion Learning Yatai Ji, Rongcheng Tu, Jie Jiang, Weijie Kong, Chengfei Cai, Wenzhe Zhao, Hongfa Wang, Yujiu Yang, Wei Liu

AAAI 2023 Summarization Attack via Paraphrasing (Student Abstract) Jiyao Li, Wei Liu

AAAI 2023 Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu, Yuxuan Wang, Wei Liu, Mengmi Zhang, Mike Zheng Shou

ICLR 2023 Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Yang Wei, Lanxiao Huang, Wei Liu

AAAI 2023 Towards In-Distribution Compatible Out-of-Distribution Detection Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

AAAI 2023 Trusted Fine-Grained Image Classification Through Hierarchical Evidence Fusion Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li

MLJ 2022 Attacking Neural Machine Translations via Hybrid Attention Learning Mingze Ni, Ce Wang, Tianqing Zhu, Shui Yu, Wei Liu

CVPR 2022 Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration Aoxiang Fan, Jiayi Ma, Xin Tian, Xiaoguang Mei, Wei Liu

ICML 2022 Constrained Variational Policy Optimization for Safe Reinforcement Learning Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Steven Wu, Bo Li, Ding Zhao

ICLR 2022 CrossFormer: A Versatile Vision Transformer Hinging on Cross-Scale Attention Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu

ICML 2022 DynaMixer: A Vision MLP Architecture with Dynamic Mixing Ziyu Wang, Wenhao Jiang, Yiming M Zhu, Li Yuan, Yibing Song, Wei Liu

NeurIPS 2022 Egocentric Video-Language Pretraining Kevin Qinghong Lin, Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Z. Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Wang HongFa, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

NeurIPS 2022 FR: Folded Rationalization with a Unified Encoder Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, YuanKai Zhang

AAAI 2022 Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning Huanqin Wu, Baijiaxin Ma, Wei Liu, Tao Chen, Dan Nie

ECCV 2022 Hardly Perceptible Trojan Attack Against Neural Networks with Bit Flips Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu

ECCV 2022 Improving Vision Transformers by Revisiting High-Frequency Components Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu

CVPR 2022 Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning Li Yang, Yan Xu, Chunfeng Yuan, Wei Liu, Bing Li, Weiming Hu

ECCV 2022 Masked Autoencoders for Point Cloud Self-Supervised Learning Yatian Pang, Wenxiao Wang, Francis E.H. Tay, Wei Liu, Yonghong Tian, Li Yuan

CVPR 2022 RFNet: Unsupervised Network for Mutually Reinforcing Multi-Modal Image Registration and Fusion Han Xu, Jiayi Ma, Jiteng Yuan, Zhuliang Le, Wei Liu

CVPR 2022 SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization Zhihui Lin, Tianyu Yang, Maomao Li, Ziyu Wang, Chun Yuan, Wenhao Jiang, Wei Liu

ECCV 2022 Towards Efficient Adversarial Training on Vision Transformers Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

JMLR 2022 Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration Congliang Chen, Li Shen, Fangyu Zou, Wei Liu

ECCV 2022 Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu

AAAI 2022 Trusted Multi-View Deep Learning with Opinion Aggregation Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux

CVPR 2022 XMP-Font: Self-Supervised Cross-Modality Pre-Training for Few-Shot Font Generation Wei Liu, Fangyue Liu, Fei Ding, Qian He, Zili Yi

ICML 2021 Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu

ICCV 2021 Adversarial Attack on Deep Cross-Modal Hamming Retrieval Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang

CVPR 2021 ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo

CVPRW 2021 Assistive Signals for Deep Neural Network Classifiers Camilo Pestana, Wei Liu, David G. Glance, Robyn A. Owens, Ajmal Mian

IJCAI 2021 BESA: BERT-Based Simulated Annealing for Adversarial Text Attacks Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu

ICCV 2021 Benchmarking Ultra-High-Definition Image Super-Resolution Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang

AAAI 2021 Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu

CVPR 2021 DeFLOCNet: Deep Image Editing via Flexible Low-Level Controls Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao, Bin Jiang, Wei Liu

WACV 2021 Defense-Friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty Camilo Pestana, Wei Liu, David Glance, Ajmal Mian

CVPR 2021 Disentangled Cycle Consistency for Highly-Realistic Virtual Try-on Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, Ping Luo

NeurIPS 2021 Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement Aming Wu, Suqi Zhao, Cheng Deng, Wei Liu

CVPR 2021 Generalizing Face Forgery Detection with High-Frequency Features Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu

CVPR 2021 Human-like Controllable Image Captioning with Verb-Specific Semantic Roles Long Chen, Zhihong Jiang, Jun Xiao, Wei Liu

WACV 2021 Intra-Class Part Swapping for Fine-Grained Image Classification Lianbo Zhang, Shaoli Huang, Wei Liu

ICML 2021 LARNet: Lie Algebra Residual Network for Face Recognition Xiaolong Yang, Xiaohong Jia, Dihong Gong, Dong-Ming Yan, Zhifeng Li, Wei Liu

CVPRW 2021 Multi-Camera Vehicle Tracking System Based on Spatial-Temporal Filtering Pengfei Ren, Kang Lu, Yu Yang, Yun Yang, Guangze Sun, Wei Wang, Gang Wang, Junliang Cao, Zhifeng Zhao, Wei Liu

NeurIPS 2021 Neural Routing by Memory Kaipeng Zhang, Zhenqiang Li, Zhifeng Li, Wei Liu, Yoichi Sato

CVPR 2021 Parser-Free Virtual Try-on via Distilling Appearance Flows Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, Ping Luo

ICCV 2021 Pyramid Architecture Search for Real-Time Image Deblurring Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern Menze

WACV 2021 SubICap: Towards Subword-Informed Image Captioning Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah

ICCV 2021 SynFace: Face Recognition with Synthetic Data Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao

CVPR 2021 VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples Tian Pan, Yibing Song, Tianyu Yang, Wenhao Jiang, Wei Liu

AAAI 2020 A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian D. Reid

IJCAI 2020 A Spatial Missing Value Imputation Method for Multi-View Urban Statistical Data Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong

NeurIPS 2020 Adversarial Learning for Robust Deep Clustering Xu Yang, Cheng Deng, Kun Wei, Junchi Yan, Wei Liu

ICML 2020 Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang

ECCV 2020 Context-Gated Convolution Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang

CVPRW 2020 Densely Self-Guided Wavelet Network for Image Denoising Wei Liu, Qiong Yan, Yuzhi Zhao

AAAI 2020 Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren

ECCV 2020 Face Super-Resolution Guided by 3D Facial Priors Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, Wei Liu

IJCAI 2020 Few-Shot Visual Learning with Contextual Memory and Fine-Grained Calibration Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu

NeurIPS 2020 Fewer Is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies Yuehua Zhu, Muli Yang, Cheng Deng, Wei Liu

ICLR 2020 Graph Inference Learning for Semi-Supervised Classification Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu

CVPRW 2020 Hierarchical Regression Network for Spectral Reconstruction from RGB Images Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin

ECCV 2020 Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos Shaoxiang Chen, Wenhao Jiang, Wei Liu, Yu-Gang Jiang

AAAI 2020 Multi-Task Driven Feature Models for Thermal Infrared Tracking Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yongsheng Liang

CVPRW 2020 NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar

CVPRW 2020 NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan Sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi

NeurIPS 2020 Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang

ECCV 2020 PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation Wenxuan Wu, Zhi Yuan Wang, Zhuwen Li, Wei Liu, Li Fuxin

IJCAI 2020 Population Location and Movement Estimation Through Cross-Domain Data Analysis Xinghao Yang, Wei Liu

AAAI 2020 Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi

NeurIPS 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

IJCAI 2020 Transductive Relation-Propagation Network for Few-Shot Learning Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu

AAAI 2020 Travel Time Prediction on Un-Monitored Roads: A Spatial Factorization Machine Based Approach (Student Abstract) Lile Li, Wei Liu

IJCAI 2019 A Compliance Checking Framework for DNN Models Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

NeurIPS 2019 Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation Qiming Zhang, Jing Zhang, Wei Liu, Dacheng Tao

AAAI 2019 Cross-Domain Recommendation via Coupled Factorization Machines Lile Li, Quan Do, Wei Liu

NeurIPS 2019 Cross-Modal Learning with Adversarial Samples Chao Li, Shangqian Gao, Cheng Deng, De Xie, Wei Liu

IJCAI 2019 DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

AAAI 2019 Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification Christopher Bartley, Wei Liu, Mark Reynolds

IJCAI 2019 Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism Wei Liu, Zhi-Jie Wang, Bin Yao, Jian Yin

JMLR 2019 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

NeurIPS 2019 Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos Yitian Yuan, Lin Ma, Jingwen Wang, Wei Liu, Wenwu Zhu

IJCAI 2018 A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du

ICML 2018 An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang

AAAI 2018 Attention-Based Transactional Context Embedding for Next-Item Recommendation Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu

ECCV 2018 Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng

AAAI 2018 Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition Wei Liu, Chaofeng Chen, Kwan-Yee K. Wong

ECCV 2018 Contour Knowledge Transfer for Salient Object Detection Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen

NeurIPS 2018 Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, Wangmeng Zuo, Wei Liu, Ming-Hsuan Yang

NeurIPS 2018 Distilled Wasserstein Learning for Word Embedding and Topic Modeling Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin

ICML 2018 End-to-End Active Object Tracking via Reinforcement Learning Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang

NeurIPS 2018 Generalizing Graph Matching Beyond Quadratic Assignment Model Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li

ECCV 2018 Incremental Multi-Graph Matching via Diversity and Randomness Based Graph Clustering Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li

ECCV 2018 Learning Efficient Single-Stage Pedestrian Detectors by Asymptotic Localization Fitting Wei Liu, Shengcai Liao, Weidong Hu, Xuezhi Liang, Xiao Chen

AAAI 2018 Learning to Guide Decoding for Image Captioning Wenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu

IJCAI 2018 Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics Yongyi Tang, Lin Ma, Wei Liu, Wei-Shi Zheng

ECCV 2018 Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry Yonggen Ling, Linchao Bao, Zequn Jie, Fengming Zhu, Ziyang Li, Shanmin Tang, Yongsheng Liu, Wei Liu, Tong Zhang

ECCV 2018 Neural Stereoscopic Image Style Transfer Xinyu Gong, Haozhi Huang, Lin Ma, Fumin Shen, Wei Liu, Tong Zhang

NeurIPS 2018 Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu

ECCV 2018 Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition Yitong Wang, Dihong Gong, Zheng Zhou, Xing Ji, Hao Wang, Zhifeng Li, Wei Liu, Tong Zhang

NeurIPS 2018 Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, Qi Wu

ECCV 2018 Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu, Wei Liu, Yu-Gang Jiang

ECCV 2018 Recurrent Fusion Network for Image Captioning Wenhao Jiang, Lin Ma, Yu-Gang Jiang, Wei Liu, Tong Zhang

ICML 2018 Safe Element Screening for Submodular Function Minimization Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang

IJCAI 2018 Salient Object Detection by Lossless Feature Reflection Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen

IJCAI 2018 Semantic Structure-Based Unsupervised Deep Hashing Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao

AAAI 2018 Stochastic Non-Convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

ECCV 2018 Super-Identity Convolutional Neural Network for Face Hallucination Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang

ECCV 2018 Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks Minjun Li, Haozhi Huang, Lin Ma, Wei Liu, Tong Zhang, Yugang Jiang

ECCV 2018 Video Re-Localization Yang Feng, Lin Ma, Wei Liu, Tong Zhang, Jiebo Luo

AAAI 2017 Adaptive Proximal Average Approximation for Composite Convex Minimization Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma

CVPR 2017 Deep Self-Taught Learning for Weakly Supervised Object Localization Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu

ICCV 2017 Detecting Faces Using Inside Cascaded Contextual CNN Kaipeng Zhang, Zhanpeng Zhang, Hao Wang, Zhifeng Li, Yu Qiao, Wei Liu

CVPR 2017 Diverse Image Annotation Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem

AAAI 2017 Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization Sunny Verma, Wei Liu, Chen Wang, Liming Zhu

ICML 2017 GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma

NeurIPS 2017 Geometric Descent Method for Convex Composite Minimization Shixiang Chen, Shiqian Ma, Wei Liu

NeurIPS 2017 Mixture-Rank Matrix Approximation for Collaborative Filtering Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen Chu

AAAI 2017 Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao

IJCAI 2017 Positive Unlabeled Learning via Wrapper-Based Adaptive Sampling Pengyi Yang, Wei Liu, Jean Yee Hwa Yang

CVPR 2017 Real-Time Neural Style Transfer for Videos Haozhi Huang, Hao Wang, Wenhan Luo, Lin Ma, Wenhao Jiang, Xiaolong Zhu, Zhifeng Li, Wei Liu

CVPR 2017 SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua

ICML 2017 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

ICCV 2017 Semi-Global Weighted Least Squares in Image Filtering Wei Liu, Xiaogang Chen, Chuanhua Shen, Zhi Liu, Jie Yang

IJCAI 2017 Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang

WACV 2016 A Two-Stage Detector for Hand Detection in Ego-Centric Videos Xiaolong Zhu, Wei Liu, Xuhui Jia, Kwan-Yee K. Wong

IJCAI 2016 Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao

UAI 2016 Efficient Multi-Class Selective Sampling on Graphs Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li

IJCAI 2016 Fast Structural Binary Coding Dongjin Song, Wei Liu, David A. Meyer

ECML-PKDD 2016 Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao

ECCV 2016 SSD: Single Shot MultiBox Detector Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, Alexander C. Berg

AAAI 2016 Scalable Sequential Spectral Clustering Yeqing Li, Junzhou Huang, Wei Liu

AAAI 2016 Teaching-to-Learn and Learning-to-Teach for Multi-Label Propagation Chen Gong, Dacheng Tao, Jie Yang, Wei Liu

CVPR 2016 Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan

AAAI 2016 Towards Optimal Binary Code Learning via Ordinal Embedding Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu

IJCAI 2016 Visual Tracking with Reliable Memories Shu Wang, Shaoting Zhang, Wei Liu, Dimitris N. Metaxas

AAAI 2015 Actionable Combined High Utility Itemset Mining Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao

AAAI 2015 Coupled Collaborative Filtering for Context-Aware Recommendation Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long

CVPR 2015 Discrete Hyper-Graph Matching Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu

CVPR 2015 Going Deeper with Convolutions Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich

ICCV 2015 Learning Binary Codes for Maximum Inner Product Search Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, Heng Tao Shen

AAAI 2015 Low-Rank Similarity Metric Learning in High Dimensions Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, Shih-Fu Chang

IJCAI 2015 Modeling Inter- and Intra-Part Deformations for Object Structure Parsing Ling Cai, Rongrong Ji, Wei Liu, Gang Hua

IJCAI 2015 Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao

AAAI 2015 Optimizing Bag Features for Multiple-Instance Retrieval Zhouyu Fu, Feifei Pan, Cheng Deng, Wei Liu

AAAI 2015 Refer-to-as Relations as Semantic Knowledge Song Feng, Sujith Ravi, Ravi Kumar, Polina Kuznetsova, Wei Liu, Alexander C. Berg, Tamara L. Berg, Yejin Choi

CVPR 2015 Saliency Propagation from Simple to Difficult Chen Gong, Dacheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang

WACV 2015 Sequential Boosting for Learning a Random Forest Classifier Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Wei Liu

ICCVW 2015 Sparse Subspace Clustering for Incomplete Images Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng

CVPR 2015 Supervised Discrete Hashing Fumin Shen, Chunhua Shen, Wei Liu, Heng Tao Shen

ICCV 2015 Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith

CVPR 2015 Towards 3D Object Detection with Bimodal Deep Boltzmann Machines over RGBD Imagery Wei Liu, Rongrong Ji, Shaozi Li

CVPR 2015 Understanding Image Structure via Hierarchical Shape Parsing Xian-Ming Liu, Rongrong Ji, Changhu Wang, Wei Liu, Bineng Zhong, Thomas S. Huang

NeurIPS 2014 Discrete Graph Hashing Wei Liu, Cun Mu, Sanjiv Kumar, Shih-Fu Chang

ECCV 2014 Graduated Consistency-Regularized Optimization for Multi-Graph Matching Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu

CVPR 2014 Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang

AAAI 2014 Sub-Selective Quantization for Large-Scale Image Search Yeqing Li, Chen Chen, Wei Liu, Junzhou Huang

CVPR 2014 Unsupervised One-Class Learning for Automatic Outlier Removal Wei Liu, Gang Hua, John R. Smith

NeurIPS 2014 Zeta Hull Pursuits: Learning Nonconvex Data Hulls Yuanjun Xiong, Wei Liu, Deli Zhao, Xiaoou Tang

ECML-PKDD 2013 A Bayesian Classifier for Learning from Tensorial Data Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao

ICCV 2013 Face Recognition via Archetype Hull Ranking Yuanjun Xiong, Wei Liu, Deli Zhao, Xiaoou Tang

ICCV 2013 Learning Hash Codes with Listwise Supervision Jun Wang, Wei Liu, Andy X. Sun, Yu-Gang Jiang

IJCAI 2013 Semi-Supervised Learning with Manifold Fitted Graphs Tongtao Zhang, Rongrong Ji, Wei Liu, Dacheng Tao, Gang Hua

ICCV 2013 Visual Reranking Through Weakly Supervised Multi-Graph Learning Cheng Deng, Rongrong Ji, Wei Liu, Dacheng Tao, Xinbo Gao

ICML 2012 Compact Hyperplane Hashing with Bilinear Functions Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang

CVPR 2012 Supervised Hashing with Kernels Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shih-Fu Chang

ECCV 2012 Trajectory-Based Modeling of Human Actions with Motion Reference Points Yu-Gang Jiang, Qi Dai, Xiangyang Xue, Wei Liu, Chong-Wah Ngo

ICML 2011 Hashing with Graphs Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang

CVPR 2011 Noise Resistant Graph Ranking for Improved Web Image Search Wei Liu, Yu-Gang Jiang, Jiebo Luo, Shih-Fu Chang

AAAI 2010 Constrained Metric Learning via Distance Gap Maximization Wei Liu, Xinmei Tian, Dacheng Tao, Jianzhuang Liu

ICML 2010 Large Graph Construction for Scalable Semi-Supervised Learning Wei Liu, Junfeng He, Shih-Fu Chang

MLJ 2010 Mining Adversarial Patterns via Regularized Loss Minimization Wei Liu, Sanjay Chawla

CVPR 2009 Robust Multi-Class Transductive Learning with Graphs Wei Liu, Shih-Fu Chang

IJCAI 2009 Spectral Kernel Learning for Semi-Supervised Classification Wei Liu, Buyue Qian, Jingyu Cui, Jianzhuang Liu

ECCV 2008 Output Regularized Metric Learning with Side Information Wei Liu, Steven C. H. Hoi, Jianzhuang Liu

CVPR 2008 Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval Steven C. H. Hoi, Wei Liu, Shih-Fu Chang

CVPR 2007 A Face Annotation Framework with Partial Clustering and Interactive Labeling Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, Xiaoou Tang

IJCAI 2007 Bayesian Tensor Inference for Sketch-Based Facial Photo Hallucination Wei Liu, Xiaoou Tang, Jianzhuang Liu

CVPR 2006 Learning Distance Metrics with Contextual Constraints for Image Retrieval Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Ying Ma

ECCV 2006 Spatio-Temporal Embedding for Statistical Face Recognition from Video Wei Liu, Zhifeng Li, Xiaoou Tang

CVPR 2005 Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation Wei Liu, Dahua Lin, Xiaoou Tang

CVPR 2005 Nonparametric Subspace Analysis for Face Recognition Zhifeng Li, Wei Liu, Dahua Lin, Xiaoou Tang

ECCV 2004 Null Space Approach of Fisher Discriminant Analysis for Face Recognition Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan