Li, Xiang

230 publications

ECML-PKDD 2025 A Dynamic Ensemble and Replaying Model for Online Marine Sensor Data Prediction Xiang Li, Xi Fu, Congqi Lin, Xiangkai Wang, Yuhang Zhang, Hao Wang, Zhigang Zhao, Meihong Yang, Yinglong Wang

CVPRW 2025 A Simple Detector with Frame Dynamics Is a Strong Tracker Chenxu Peng, Chenxu Wang, Minrui Zou, Danyang Li, Zhengpeng Yang, Yimian Dai, Ming-Ming Cheng, Xiang Li

ICCV 2025 Advancing Textual Prompt Learning with Anchored Attributes Zheng Li, Yibing Song, Ming-Ming Cheng, Xiang Li, Jian Yang

ICCV 2025 Backdoor Attacks on Neural Networks via One-Bit Flip Xiang Li, Lannan Luo, Qiang Zeng

MLJ 2025 Commonsense Knowledge Enhanced Event Graph Representation Learning for Script Event Prediction Xiang Li, Xinxi Jiang, Qifeng Zhou

UAI 2025 Corruption-Robust Variance-Aware Algorithms for Generalized Linear Bandits Under Heavy-Tailed Rewards Qingyuan Yu, Euijin Baek, Xiang Li, Qiang Sun

AAAI 2025 Coupling-Based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent Xiang Li, Qiaomin Xie

NeurIPS 2025 Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation Xiang Li, Zirui Wang, Zixuan Huang, James Matthew Rehg

ICCV 2025 DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing Shengdong Han, Shangdong Yang, Yuxuan Li, Xin Zhang, Xiang Li, Jian Yang, Ming-Ming Cheng, Yimian Dai

ICML 2025 Distribution-Aware Fairness Learning in Medical Image Segmentation from a Control-Theoretic Perspective Yujin Oh, Pengfei Jin, Sangjoon Park, Sekeun Kim, Siyeop Yoon, Jin Sung Kim, Kyungsang Kim, Xiang Li, Quanzheng Li

ICLR 2025 ECHOPulse: ECG Controlled Echocardio-Gram Video Generation Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, Xiang Li

ICLR 2025 Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu

AAAI 2025 Every Opinion Matters: Evaluating and Building Models with Pluralistic Views Xiang Li

NeurIPS 2025 Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang

AAAI 2025 From Words to Worth: Newborn Article Impact Prediction with LLM Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li

WACV 2025 GroundingMate: Aiding Object Grounding for Goal-Oriented Vision-and-Language Navigation Qianyi Liu, Siqi Zhang, Yanyuan Qiao, Junyou Zhu, Xiang Li, Longteng Guo, Qunbo Wang, Xingjian He, Qi Wu, Jing Liu

CVPR 2025 HSI-GPT: A General-Purpose Large Scene-Motion-Language Model for Human Scene Interaction Yuan Wang, Yali Li, Xiang Li, Shengjin Wang

AAAI 2025 Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis Zhenhua Wu, Linxuan Jiang, Xiang Li, Chaowei Fang, Yipeng Qin, Guanbin Li

ICLR 2025 ImageFolder: Autoregressive Image Generation with Folded Tokens Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin

CVPR 2025 InstanceCap: Improving Text-to-Video Generation via Instance-Aware Structured Caption Tiehan Fan, Kepan Nan, Rui Xie, Penghao Zhou, Zhenheng Yang, Chaoyou Fu, Xiang Li, Jian Yang, Ying Tai

CVPRW 2025 Is Multi-Person Gait Recognition Feasible Under Mutual Occlusion? a Human Model Regression-Based Approach Ziruo Li, Chi Xu, Xiang Li, Shuqiong Wu, Yasushi Yagi

ICLR 2025 LLaRA: Supercharging Robot Learning Data for Vision-Language Policy Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan D Burgert, Mu Cai, Yong Jae Lee, Michael S Ryoo

NeurIPS 2025 Learning to Plan like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making Tianyuan Jia, Ziyu Li, Qing Li, Xiuxing Li, Xiang Li, Chen Wei, Li Yao, Xia Wu

ICLR 2025 Let Your Features Tell the Differences: Understanding Graph Convolution by Feature Splitting Yilun Zheng, Xiang Li, Sitao Luan, Xiaojiang Peng, Lihui Chen

AAAI 2025 Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang

IJCAI 2025 MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-Aware Temporal Masking Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He, Yanwei Yu

ICML 2025 Masked Autoencoders Are Effective Tokenizers for Diffusion Models Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj

NeurIPS 2025 Mitigating the Privacy–Utility Trade-Off in Decentralized Federated Learning via F-Differential Privacy Xiang Li, Chendi Wang, Buxin Su, Qi Long, Weijie J Su

AAAI 2025 Multi-Clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-Supervised Detection Chenxu Wang, Chunyan Xu, Xiang Li, YuXuan Li, Xu Guo, Ziqi Gu, Zhen Cui

ICLRW 2025 Multi-Hypothesis Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity via Laplacian Visual Prompting Xiaohao Xu, Feng Xue, Xiang Li, Haowei Li, Shusheng Yang, Tianyi Zhang, Matthew Johnson-Roberson, Xiaonan Huang

WACV 2025 Multi-Modal Large Language Model with RAG Strategies in Soccer Commentary Generation Xiang Li, Yangfan He, Shuaishuai Zu, Zhengyang Li, Tianyu Shi, Yiting Xie, Kevin Zhang

CVPR 2025 Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties Wenqiao Li, Bozhong Zheng, Xiaohao Xu, Jinye Gan, Fading Lu, Xiang Li, Na Ni, Zheng Tian, Xiaonan Huang, Shenghua Gao, Yingna Wu

IJCAI 2025 Not All Layers of LLMs Are Necessary During Inference Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang

NeurIPS 2025 On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection Weiqing He, Xiang Li, Tianqi Shang, Li Shen, Weijie J Su, Qi Long

ICLR 2025 OpenVid-1m: A Large-Scale High-Quality Dataset for Text-to-Video Generation Kepan Nan, Rui Xie, Penghao Zhou, Tiehan Fan, Zhenheng Yang, Zhijie Chen, Xiang Li, Jian Yang, Ying Tai

ICML 2025 Preference Adaptive and Sequential Text-to-Image Generation Ofir Nabati, Guy Tennenholtz, Chihwei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier

NeurIPS 2025 REOBench: Benchmarking Robustness of Earth Observation Foundation Models Xiang Li, Yong Tao, Siyuan Zhang, Siwei Liu, Zhitong Xiong, Chunbo Luo, Lu Liu, Mykola Pechenizkiy, Xiao Xiang Zhu, Tianjin Huang

CVPR 2025 RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark Xin Zhang, Xue Yang, Yuxuan Li, Jian Yang, Ming-Ming Cheng, Xiang Li

NeurIPS 2025 Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier than You Think Ge Wu, Shen Zhang, Ruijing Shi, Shanghua Gao, Zhenyuan Chen, Lei Wang, Zhaowei Chen, Hongcheng Gao, Yao Tang, Jian Yang, Ming-Ming Cheng, Xiang Li

ICML 2025 Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation Jian Bi, Qianliang Wu, Xiang Li, Shuo Chen, Jianjun Qian, Lei Luo, Jian Yang

NeurIPS 2025 Revisiting End-to-End Learning with Slide-Level Supervision in Computational Pathology Wenhao Tang, Rong Qin, Heng Fang, Fengtao Zhou, Hao Chen, Xiang Li, Ming-Ming Cheng

ICLR 2025 Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Sebastian Scherer, Xiaonan Huang

NeurIPS 2025 See Through the Dark: Learning Illumination-Affined Representations for Nighttime Occupancy Prediction Wuyuan, Zhiqiang Yan, Yigong Zhang, Xiang Li, Jian Yang

ICLR 2025 Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Xiang Li, Pengfei Li, Yupeng Zheng, Wei Sun, Yan Wang, Yilun Chen

ICCV 2025 SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models Xianfu Cheng, Wei Zhang, Shiwei Zhang, Jian Yang, Xiangyuan Guan, Xianjie Wu, Xiang Li, Ge Zhang, Jiaheng Liu, Yuying Mai, Yutao Zeng, Zhoufutu Wen, Ke Jin, Baorui Wang, Weixiao Zhou, Yunhong Lu, Hangyuan Ji, Tongliang Li, Wenhao Huang, Zhoujun Li

CVPR 2025 SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum

ICLRW 2025 Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu

NeurIPS 2025 Statistical Inference Under Performativity Xiang Li, Yunai Li, Huiying Zhong, Lihua Lei, Zhun Deng

CVPR 2025 Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation Xiang Li, Zixuan Huang, Anh Thai, James M. Rehg

NeurIPS 2025 Towards Understanding the Mechanisms of Classifier-Free Guidance Xiang Li, Rongrong Wang, Qing Qu

AAAI 2025 TreeEval: Benchmark-Free Evaluation of Large Language Models Through Tree Planning Xiang Li, Yunshi Lan, Chao Yang

ICLR 2025 Understanding Long Videos with Multimodal Language Models Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S Ryoo

NeurIPS 2025 Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu

WACV 2025 UniTMGE: Uniform Text-Motion Generation and Editing Model via Diffusion Ruoyu Wang, Yangfan He, Tengjiao Sun, Xiang Li, Tianyu Shi

NeurIPS 2025 Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation Qing Yu, Xiaobei Wang, Shuchang Liu, Cheng.Feng, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, HailanYang, Bin Wen, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou

NeurIPS 2024 3DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition Mahmoud Ahmed, Xiang Li, Arpit Prajapati, Mohamed Elhoseiny

ICML 2024 A General Framework for Learning from Weak Supervision Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

ICMLW 2024 A Hessian-Aware Stochastic Differential Equation for Modelling SGD Xiang Li, Zebang Shen, Liang Zhang, Niao He

JMLR 2024 A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness Yuze Han, Xiang Li, Shiyun Lin, Zhihua Zhang

NeurIPS 2024 Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu

AAAI 2024 AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang

ICLRW 2024 AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao

NeurIPSW 2024 Biomedical SAM-2: Segment Anything in Biomedical Images and Videos Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan, Kai Zhang, Yiwei Li, Sekeun Kim, Sifan Song, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun

NeurIPS 2024 Biomedical Visual Instruction Tuning with Clinician Preference Alignment Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang

ECCV 2024 Cascade Prompt Learning for Visual-Language Model Adaptation Ge Wu, Xin Zhang, Zheng Li, Zhaowei Chen, Jiajun Liang, Jian Yang, Xiang Li

NeurIPSW 2024 Catching the Spikes: Heteroscedastic Uncertainty Quantification for Enhanced Malaria Prediction Feng Chen, Qi Qi, Jiayu Qiu, Kemeng Zhang, Xiang Li

ICML 2024 Completing Visual Objects via Bridging Generation and Segmentation Xiang Li, Yinpeng Chen, Chung-Ching Lin, Hao Chen, Kai Hu, Rita Singh, Bhiksha Raj, Lijuan Wang, Zicheng Liu

CVPRW 2024 Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

ICLRW 2024 Corex: Pushing the Boundaries of Complex Reasoning Through Multi-Model Collaboration Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong

NeurIPS 2024 Cross-Model Control: Improving Multiple Large Language Models in One-Time Training Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao

CVPR 2024 CrossKD: Cross-Head Knowledge Distillation for Object Detection Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou

NeurIPS 2024 DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain Kun Wang, Zhiqiang Yan, Junkai Fan, Wanlu Zhu, Xiang Li, Jun Li, Jian Yang

AAAI 2024 DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection Xiang Li, Junbo Yin, Wei Li, Chengzhong Xu, Ruigang Yang, Jianbing Shen

ICLR 2024 Decoding Natural Images from EEG for Object Recognition Yonghao Song, Bingchuan Liu, Xiang Li, Nanlin Shi, Yijun Wang, Xiaorong Gao

ECCV 2024 Distilling Knowledge from Large-Scale Image Models for Object Detection Gang Li, Wenhai Wang, Xiang Li, Ziheng Li, Jian Yang, Jifeng Dai, Yu Qiao, Shanshan Zhang

NeurIPS 2024 Efficient LLM Jailbreak via Adaptive Dense-to-Sparse Constrained Optimization Kai Hu, Weichen Yu, Yining Li, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Kai Chen, Matt Fredrikson

NeurIPS 2024 Eye-Gaze Guided Multi-Modal Alignment for Medical Representation Learning Chong Ma, Hanqi Jiang, Wenting Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li

MLJ 2024 Fedpower: Privacy-Preserving Distributed Eigenspace Estimation Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang

ECML-PKDD 2024 HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang

NeurIPSW 2024 Hetero-UNet: Heterogeneous Transformer with Mamba for Medical Image Segmentation Zhiling Yan, Yixin Liu, Xiang Li, Lichao Sun

ECML-PKDD 2024 Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation Changsheng Shui, Xiang Li, Jianpeng Qi, Guiyuan Jiang, Yanwei Yu

NeurIPS 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

AAAI 2024 In-Hand 3D Object Reconstruction from a Monocular RGB Video Shijian Jiang, Qi Ye, Rengan Xie, Yuchi Huo, Xiang Li, Yang Zhou, Jiming Chen

WACV 2024 Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, Michael S. Ryoo

NeurIPSW 2024 LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning Xiang Li, Qianli Shen, Haonan Wang, Kenji Kawaguchi

ECCVW 2024 MCRE: Multimodal Conditional Representation and Editing for Text-Motion Generation Tengjiao Sun, Xiang Li, Tianyu Shi, Jiahui Peng, Sheng Zheng, Hansung Kim

NeurIPS 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-Level Optimization Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi

ICLR 2024 MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny

IJCAI 2024 No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning Xiang Li, Songcan Chen

NeurIPS 2024 Novel Object Synthesis via Adaptive Text-Image Harmony Zeren Xiong, Zedong Zhang, Zikun Chen, Shuo Chen, Xiang Li, Gan Sun, Jian Yang, Jun Li

ECML-PKDD 2024 PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin

AISTATS 2024 Parameter-Agnostic Optimization Under Relaxed Smoothness Florian Hübler, Junchi Yang, Xiang Li, Niao He

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

CVPR 2024 PromptKD: Unsupervised Prompt Distillation for Vision-Language Models Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang

CVPR 2024 QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-Based Semantic Decomposition Xiang Li, Jinglu Wang, Xiaohao Xu, Xiulian Peng, Rita Singh, Yan Lu, Bhiksha Raj

ECCV 2024 R^2-Bench: Benchmarking the Robustness of Referring Perception Models Under Perturbations Xiang Li, Kai Qiu, Jinglu Wang, Xiaohao Xu, Kashu Yamazaki, Hao Chen, Rita Singh, Xiaonan Huang, Bhiksha Raj

IJCAI 2024 RisQNet: Rescuing SMEs from Financial Shocks with a Novel Networked-Loan Risk Assessment Zhaoyuan Lu, Taijun Li, Jingzhen Zhang, Moyang Liu, Xiang Li, Linyi Cui, Junqi Chen, Zhibin Niu

NeurIPS 2024 SARDet-100k: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang

MLJ 2024 Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization Ganyu Wang, Qingsong Zhang, Xiang Li, Boyu Wang, Bin Gu, Charles X. Ling

ECML-PKDD 2024 Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks Chenghua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu

NeurIPS 2024 Slight Corruption in Pre-Training Data Makes Better Diffusion Models Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj

NeurIPS 2024 Suitable Is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection Jingjing Wang, Minhuan Huang, Yuanpin Nie, Xiang Li, Qianjin Du, Wei Kong, Huan Deng, Xiaohui Kuang

NeurIPSW 2024 TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Xiang Li, Quanzheng Li, Lifang He, Lichao Sun

ICLR 2024 Training-Free Multi-Objective Diffusion Model for 3D Molecule Generation Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li

NeurIPSW 2024 Understanding Diffusion-Based Representation Learning via Low-Dimensional Modeling Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu

NeurIPS 2024 Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure Xiang Li, Yixiang Dai, Qing Qu

ECCV 2024 Uni3DL: A Unified Model for 3D Vision-Language Understanding Xiang Li, Jian Ding, Zhaoyang Chen, Mohamed Elhoseiny

NeurIPS 2024 UniAudio 1.5: Large Language Model-Driven Audio Codec Is a Few-Shot Audio Task Learner Dongchao Yang, Haohan Guo, Yuanyuan Wang, Rongjie Huang, Xiang Li, Xu Tan, Xixin Wu, Helen Meng

NeurIPSW 2024 Uniform Text-Motion Generation and Editing via Diffusion Model Ruoyu Wang, Xiang Li, Tengjiao Sun, Yangfan He, Tianyu Shi, Yitingxie

CVPR 2024 VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models Xiang Li, Qianli Shen, Kenji Kawaguchi

NeurIPS 2024 VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding Xiang Li, Jian Ding, Mohamed Elhoseiny

TMLR 2024 Variance-Aware Decision Making with Linear Function Approximation Under Heavy-Tailed Rewards Xiang Li, Qiang Sun

AISTATS 2023 A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning Xiang Li, Wenhao Yang, Jiadong Liang, Zhihua Zhang, Michael I. Jordan

NeurIPS 2023 A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning Ganyu Wang, Bin Gu, Qingsong Zhang, Xiang Li, Boyu Wang, Charles X. Ling

ICCV 2023 ADNet: Lane Shape Prediction via Anchor Decomposition Lingyu Xiao, Xiang Li, Sen Yang, Wankou Yang

MLJ 2023 Boundary-Restricted Metric Learning Shuo Chen, Chen Gong, Xiang Li, Jian Yang, Gang Niu, Masashi Sugiyama

CVPR 2023 Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction Xiang Li, Xuelin Qian, Litian Liang, Lingjie Kong, Qiaole Dong, Jiejun Chen, Dingxia Liu, Xiuzhong Yao, Yanwei Fu

IJCAI 2023 Compositional Zero-Shot Artistic Font Synthesis Xiang Li, Lei Wu, Changshuo Wang, Lei Meng, Xiangxu Meng

IJCAI 2023 Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint Haoming Li, Xinzhuo Lin, Yang Zhou, Xiang Li, Yuchi Huo, Jiming Chen, Qi Ye

ICCV 2023 Creative Birds: Self-Supervised Single-View 3D Style Transfer Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang

AAAI 2023 Curriculum Temperature for Knowledge Distillation Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang

NeurIPS 2023 DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao

ICCV 2023 DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution Xiang Li, Jiangxin Dong, Jinhui Tang, Jinshan Pan

AAAI 2023 Decision-Making Context Interaction Network for Click-Through Rate Prediction Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

AAAI 2023 DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang

ICML 2023 Distortion and Uncertainty Aware Loss for Panoramic Depth Completion Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang

ICLR 2023 Explaining Temporal Graph Models Through an Explorer-Navigator Framework Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li

NeurIPS 2023 Faith and Fate: Limits of Transformers on Compositionality Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, Yejin Choi

NeurIPS 2023 Fine-Grained Visual Prompting Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang

ICCV 2023 FishNet: A Large-Scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction Faizan Farooq Khan, Xiang Li, Andrew J. Temple, Mohamed Elhoseiny

CVPRW 2023 Gait Recognition from Fisheye Images Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi

NeurIPSW 2023 Generating Personalized Insulin Treatments Strategies with Conditional Generative Time Series Models Manuel Schürch, Xiang Li, Ahmed Allam, Giulia Hofer, Amina Mollaysa, Claudia Cavelti-Weder, Michael Krauthammer

CVPR 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning with Alleviated Catastrophic Forgetting Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao

ICCV 2023 HopFIR: Hop-Wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation Kai Zhai, Qiang Nie, Bo Ouyang, Xiang Li, Shanlin Yang

NeurIPS 2023 LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi

AAAI 2023 LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving Xiang Li, Junbo Yin, Botian Shi, Yikang Li, Ruigang Yang, Jianbing Shen

ICCV 2023 Large Selective Kernel Network for Remote Sensing Object Detection Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li

NeurIPSW 2023 Large-Scale Graph Representation Learning of Dynamic Brain Connectome with Transformers Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, Juho Lee

NeurIPS 2023 Learning to Compress Prompts with Gist Tokens Jesse Mu, Xiang Li, Noah Goodman

CVPR 2023 MoStGAN-V: Video Generation with Temporal Motion Styles Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny

ICLR 2023 Near-Optimal Policy Identification in Active Reinforcement Learning Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic

ICCVW 2023 Occluded Gait Recognition via Silhouette Registration Guided by Automated Occlusion Degree Estimation Chi Xu, Shogo Tsuji, Yasushi Makihara, Xiang Li, Yasushi Yagi

AAAI 2023 PGSS: Pitch-Guided Speech Separation Xiang Li, Yiwen Wang, Yifan Sun, Xihong Wu, Jing Chen

NeurIPS 2023 PaintSeg: Painting Pixels for Training-Free Segmentation Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Rita Singh, Bhiksha Raj

AAAI 2023 Panoramic Video Salient Object Detection with Ambisonic Audio Guidance Xiang Li, Haoyuan Cao, Shijie Zhao, Junlin Li, Li Zhang, Bhiksha Raj

NeurIPSW 2023 Parameter-Agnostic Optimization Under Relaxed Smoothness Florian Hübler, Junchi Yang, Xiang Li, Niao He

AAAI 2023 Recurrent Structure Attention Guidance for Depth Super-Resolution Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

ICCV 2023 Robust Referring Video Object Segmentation with Cyclic Structural Consensus Xiang Li, Jinglu Wang, Xiaohao Xu, Xiao Li, Bhiksha Raj, Yan Lu

AISTATS 2023 Statistical Analysis of Karcher Means for Random Restricted PSD Matrices Hengchao Chen, Xiang Li, Qiang Sun

AAAI 2023 Structure Flow-Guided Network for Real Depth Super-Resolution Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

ICLR 2023 TiAda: A Time-Scale Adaptive Algorithm for Nonconvex Minimax Optimization Xiang Li, Junchi Yang, Niao He

NeurIPS 2023 Two Sides of One Coin: The Limits of Untuned SGD and the Power of Adaptive Methods Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He

ICCV 2023 Video State-Changing Object Segmentation Jiangwei Yu, Xiang Li, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang

NeurIPS 2023 YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang

NeurIPS 2022 Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective Jiadong Liang, Yuze Han, Xiang Li, Zhihua Zhang

IJCAI 2022 CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

NeurIPS 2022 DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection Gang Li, Xiang Li, Yujie Wang, Wu Yichao, Ding Liang, Shanshan Zhang

NeurIPS 2022 Diffusion-LM Improves Controllable Text Generation Xiang Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B Hashimoto

NeurIPS 2022 Does Self-Supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li, Jinghuan Shang, Srijan Das, Michael Ryoo

CVPR 2022 Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information Lingfeng Yang, Xiang Li, Renjie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Yang

ECCVW 2022 Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He

ICML 2022 Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian

AAAI 2022 Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation Xiang Li, Jinglu Wang, Xiao Li, Yan Lu

AAAI 2022 Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang

ECCV 2022 Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang

NeurIPS 2022 Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization Junchi Yang, Xiang Li, Niao He

NeurIPS 2022 Personalized Federated Learning Towards Communication Efficiency, Robustness and Fairness Shiyun Lin, Yuze Han, Xiang Li, Zhihua Zhang

ECCV 2022 PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang

IJCAI 2022 RAW-GNN: RAndom Walk Aggregation Based Graph Neural Network Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang

NeurIPS 2022 RecursiveMix: Mixed Learning with History Lingfeng Yang, Xiang Li, Borui Zhao, Renjie Song, Jian Yang

ECCV 2022 RigNet: Repetitive Image Guided Network for Depth Completion Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang

ECCV 2022 StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo

COLT 2022 Statistical Estimation and Online Inference via Local SGD Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang

CoRL 2022 TRITON: Neural Neural Textures for Better Sim2Real Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo

NeurIPSW 2022 TiAda: A Time-Scale Adaptive Algorithm for Nonconvex Minimax Optimization Xiang Li, Junchi Yang, Niao He

ICLR 2021 Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval Wenhan Xiong, Xiang Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz

AAAI 2021 Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong

ICML 2021 Communication-Efficient Distributed SVD via Local Power Iterations Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang

ICCVW 2021 End-to-End Model-Based Gait Recognition Using Synchronized Multi-View Pose Constraint Xiang Li, Yasushi Makihara, Chi Xu, Yasushi Yagi

CVPR 2021 Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

ECML-PKDD 2021 Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji

AAAI 2021 Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang

ICCV 2021 Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao

WACV 2021 Real-Time Gait-Based Age Estimation and Gender Classification from a Single Image Chi Xu, Yasushi Makihara, Ruochen Liao, Hirotaka Niitsuma, Xiang Li, Yasushi Yagi, Jianfeng Lu

ICCV 2021 Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang

NeurIPS 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li

NeurIPS 2021 The Image Local Autoregressive Transformer Chenjie Cao, Yuxin Hong, Xiang Li, Chengrong Wang, Chengming Xu, Yanwei Fu, Xiangyang Xue

MLJ 2021 Triply Stochastic Gradient Method for Large-Scale Nonlinear Similar Unlabeled Classification Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang

IJCAI 2020 An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo

AAAI 2020 Do Subsampled Newton Methods Work for High-Dimensional Data? Xiang Li, Shusen Wang, Zhihua Zhang

ECCV 2020 Gait Recognition from a Single Image Using a Phase-Aware Gait Cycle Reconstruction Network Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu

NeurIPS 2020 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

NeurIPS 2020 Improving Local Identifiability in Probabilistic Box Embeddings Shib Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Li, Andrew McCallum

NeurIPS 2020 Neuron-Level Structured Pruning Using Polarization Regularizer Tao Zhuang, Zhixuan Zhang, Yuheng Huang, Xiaoyi Zeng, Kai Shuang, Xiang Li

ICLR 2020 On the Convergence of FedAvg on Non-IID Data Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang

AAAI 2020 Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization Wanli Shi, Bin Gu, Xiang Li, Heng Huang

AAAI 2020 Safe Sample Screening for Robust Support Vector Machine Zhou Zhai, Bin Gu, Xiang Li, Heng Huang

AAAI 2020 Understanding the Disharmony Between Weight Normalization Family and Weight Decay Xiang Li, Shuo Chen, Jian Yang

NeurIPS 2019 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning Wenhao Yang, Xiang Li, Zhihua Zhang

NeurIPS 2019 Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration Jianchun Chen, Lingjing Wang, Xiang Li, Yi Fang

IJCAI 2019 Dynamic Feature Fusion for Semantic Edge Detection Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng

AAAI 2019 Inter-Class Angular Loss for Convolutional Neural Networks Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang

NeurIPS 2019 Joint Optimization of Tree-Based Index and Deep Model for Recommender Systems Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai

CVPRW 2019 NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He

CVPRW 2019 NTIRE 2019 Challenge on Video Deblurring: Methods and Results Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga

IJCAI 2019 Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang

IJCAI 2019 Scalable Semi-Supervised SVM via Triply Stochastic Gradients Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang

ICLR 2019 Smoothing the Geometry of Probabilistic Box Embeddings Xiang Li, Luke Vilnis, Dongxu Zhang, Michael Boratko, Andrew McCallum

AAAI 2019 Spectral Clustering in Heterogeneous Information Networks Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin

IJCAI 2018 Adversarial Metric Learning Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li

ECCV 2018 Adversarial Open-World Person Re-Identification Xiang Li, Ancong Wu, Wei-Shi Zheng

IJCAI 2018 Faster Training Algorithms for Structured Sparsity-Inducing Norm Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng

ECCV 2018 Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation Zhenyu Zhang, Zhen Cui, Chunyan Xu, Zequn Jie, Xiang Li, Jian Yang

IJCAI 2018 Mixed Link Networks Wenhai Wang, Xiang Li, Tong Lu, Jian Yang

MLJ 2018 On Better Training the Infinite Restricted Boltzmann Machines Xuan Peng, Xunzhang Gao, Xiang Li

IJCAI 2018 Pairwise-Ranking Based Collaborative Recurrent Neural Networks for Clinical Event Prediction Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang

NeurIPS 2018 Pelee: A Real-Time Object Detection System on Mobile Devices Robert J. Wang, Xiang Li, Charles X. Ling

AAAI 2017 Fast Generalized Distillation for Semi-Supervised Domain Adaptation Shuang Ao, Xiang Li, Charles X. Ling

CVPR 2017 Joint Intensity and Spatial Metric Learning for Robust Gait Recognition Yasushi Makihara, Atsuyuki Suzuki, Daigo Muramatsu, Xiang Li, Yasushi Yagi

AAAI 2017 TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang

UAI 2017 Triply Stochastic Gradients on Multiple Kernel Learning Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling

ECCV 2016 A Novel Tiny Object Recognition Algorithm Based on Unit Statistical Curvature Feature Yimei Kang, Xiang Li

WACV 2016 An Enhanced Deep Feature Representation for Person Re-Identification Shangxuan Wu, Ying-Cong Chen, Xiang Li, Ancong Wu, Jinjie You, Wei-Shi Zheng

NeurIPS 2016 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu

IJCAI 2016 StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation Xiang Li, Lili Mou, Rui Yan, Ming Zhang

CVPR 2016 Top-Push Video-Based Person Re-Identification Jinjie You, Ancong Wu, Xiang Li, Wei-Shi Zheng

IJCAI 2015 Data Sparseness in Linear SVM Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling

ICCV 2015 Multi-Scale Learning for Low-Resolution Person Re-Identification Xiang Li, Wei-Shi Zheng, Xiaojuan Wang, Tao Xiang, Shaogang Gong

ICCV 2015 Partial Person Re-Identification Wei-Shi Zheng, Xiang Li, Tao Xiang, Shengcai Liao, Jianhuang Lai, Shaogang Gong