Cheng, Yu

120 publications

ICML 2025 Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Yunzhuo Hao, Jiawei Gu, Huichen Will Wang, Linjie Li, Zhengyuan Yang, Lijuan Wang, Yu Cheng

ICLRW 2025 DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs Zhen Tan, Daize Dong, Xinyu Zhao, Jianing Cai, Jie Peng, Yu Cheng, Tianlong Chen

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

CVPR 2025 Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling Is Easier than You Think Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng

CVPR 2025 From Head to Tail: Towards Balanced Representation in Large Vision-Language Models Through Adaptive Data Calibration Mingyang Song, Xiaoye Qu, Jiawei Zhou, Yu Cheng

ICCV 2025 ImageGen-CoT: Enhancing Text-to-Image In-Context Learning with Chain-of-Thought Reasoning Jiaqi Liao, Zhengyuan Yang, Linjie Li, Dianqi Li, Kevin Lin, Yu Cheng, Lijuan Wang

ICCV 2025 LangBridge: Interpreting Image as a Combination of Language Embeddings Jiaqi Liao, Yuwei Niu, Fanqing Meng, Hao Li, Changyao Tian, Yinuo Du, Yuwen Xiong, Dianqi Li, Xizhou Zhu, Li Yuan, Jifeng Dai, Yu Cheng

ICCV 2025 LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models Yu Cheng, Fajie Yuan

NeurIPS 2025 Learning to Reason Under Off-Policy Guidance Jianhao Yan, Yafu Li, Zican Hu, Zhi Wang, Ganqu Cui, Xiaoye Qu, Yu Cheng, Yue Zhang

ICML 2025 Liger: Linearizing Large Language Models to Gated Recurrent Structures Disen Lan, Weigao Sun, Jiaxi Hu, Jusen Du, Yu Cheng

ICLRW 2025 Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts Weigao Sun, Disen Lan, Tong Zhu, Xiaoye Qu, Yu Cheng

ICML 2025 Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment Chenghao Fan, Zhenyi Lu, Sichen Liu, Chengfeng Gu, Xiaoye Qu, Wei Wei, Yu Cheng

ICLR 2025 Modality-Specialized Synergizers for Interleaved Vision-Language Generalists Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang

ICML 2025 Occult: Optimizing Collaborative Communications Across Experts for Accelerated Parallel MoE Training and Inference Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen

IJCAI 2025 OpenIAI-SNIO: A Systematic AR-Based Assembly Guidance System for Small-Scale, High-Density Industrial Components Yuntao Wang, Yu Cheng, Junhao Geng

ICML 2025 Scaling Laws for Floating–Point Quantization Training Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang

NeurIPS 2025 Scaling Physical Reasoning with the PHYSICS Dataset Shenghe Zheng, Qianjia Cheng, Junchi Yao, Mengsong Wu, Haonan He, Ning Ding, Yu Cheng, Shuyue Hu, Lei Bai, Dongzhan Zhou, Ganqu Cui, Peng Ye

CVPR 2025 StickMotion: Generating 3D Human Motions by Drawing a Stickman Tao Wang, Zhihua Wu, Qiaozhi He, Jiaming Chu, Ling Qian, Yu Cheng, Junliang Xing, Jian Zhao, Lei Jin

ICML 2025 Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng

NeurIPS 2025 Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision Shilin Zhang, Zican Hu, Wenhao Wu, Xinyi Xie, Jianxiang Tang, Chunlin Chen, Daoyi Dong, Yu Cheng, Zhenhong Sun, Zhi Wang

ICCV 2025 Towards Stabilized and Efficient Diffusion Transformers Through Long-Skip-Connections with Spectral Constraints Guanjie Chen, Xinyu Zhao, Yucheng Zhou, Xiaoye Qu, Tianlong Chen, Yu Cheng

ICML 2025 Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation Fanqing Meng, Jiaqi Liao, Xinyu Tan, Quanfeng Lu, Wenqi Shao, Kaipeng Zhang, Yu Cheng, Dianqi Li, Ping Luo

NeurIPS 2025 Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model Tianle Li, Jihai Zhang, Yongming Rao, Yu Cheng

NeurIPS 2025 VideoREPA: Learning Physics for Video Generation Through Relational Alignment with Foundation Models Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang, Fanqing Meng, Xiangpeng Wan, Junchi Yan, Yu Cheng

CVPRW 2025 Visually Interpretable Subtask Reasoning for Visual Question Answering Yu Cheng, Arushi Goel, Hakan Bilen

ICLR 2025 Weak to Strong Generalization for Large Language Models with Multi-Capabilities Yucheng Zhou, Jianbing Shen, Yu Cheng

NeurIPS 2024 $\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

ICML 2024 $\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng

NeurIPS 2024 Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction Yixuan Even Xu, Hanrui Zhang, Yu Cheng, Vincent Conitzer

TMLR 2024 CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang

ECCV 2024 Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions Yihao Ai, Yifei Qi, Bo Wang, Yu Cheng, Xinchao Wang, Robby T. Tan

AAAI 2024 Enhancing Low-Resource Relation Representations Through Multi-View Decoupling Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen

ICML 2024 LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao

ECCV 2024 Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi

NeurIPS 2024 MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng

ICLR 2024 Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen

NeurIPS 2024 On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng

WACV 2024 ProS: Facial Omni-Representation Learning via Prototype-Based Self-Distillation Xing Di, Yiyu Zheng, Xiaoming Liu, Yu Cheng

ECCV 2024 Rethinking Weakly-Supervised Video Temporal Grounding from a Game Perspective Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu

ICLR 2024 Sparse MoE with Language Guided Routing for Multilingual Machine Translation Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen

CVPR 2024 SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement Tao Wang, Lei Jin, Zheng Wang, Jianshu Li, Liang Li, Fang Zhao, Yu Cheng, Li Yuan, Li Zhou, Junliang Xing, Jian Zhao

NeurIPS 2024 Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng

IJCAI 2024 Unified Single-Stage Transformer Network for Efficient RGB-T Tracking Jianqiang Xia, Dianxi Shi, Ke Song, Linna Song, Xiaolei Wang, Songchang Jin, Chenran Zhao, Yu Cheng, Lei Jin, Zheng Zhu, Jianan Li, Gang Wang, Junliang Xing, Jian Zhao

AAAI 2024 Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng

ICLR 2023 Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao

CVPR 2023 DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment Heyuan Li, Bo Wang, Yu Cheng, Mohan Kankanhalli, Robby T. Tan

NeurIPS 2023 DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

AAAI 2023 Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang

ICML 2023 Hiding Data Helps: On the Benefits of Masking for Sparse Coding Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge

AAAI 2023 Hypotheses Tree Building for One-Shot Temporal Sentence Localization Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng

ICML 2023 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling Yunfan Li, Yiran Wang, Yu Cheng, Lin Yang

NeurIPS 2023 Robust Matrix Sensing in the Semi-Random Model Xing Gao, Yu Cheng

NeurIPS 2023 Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen Wright

CVPR 2023 You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks? Zenghui Yuan, Pan Zhou, Kai Zou, Yu Cheng

TMLR 2022 Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang

ECCV 2022 DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang

AAAI 2022 Efficient Robust Training via Backward Smoothing Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu

ECCV 2022 Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-Training Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan

AAAI 2022 Memory-Guided Semantic Learning Network for Temporal Sentence Grounding Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou

NeurIPS 2022 M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-Task Learning with Model-Accelerator Co-Design Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang

NeurIPS 2022 Outlier-Robust Sparse Estimation via Non-Convex Optimization Yu Cheng, Ilias Diakonikolas, Rong Ge, Shivam Gupta, Daniel Kane, Mahdi Soltanolkotabi

AAAI 2022 Planning with Participation Constraints Hanrui Zhang, Yu Cheng, Vincent Conitzer

AAAI 2022 Playing Lottery Tickets with Vision and Language Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu

ECCV 2022 Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang

ECCV 2022 Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang

CVPR 2022 The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang

AAAI 2022 Unsupervised Temporal Video Grounding with Deep Semantic Clustering Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou

AISTATS 2021 Fair for All: Best-Effort Fairness Guarantees for Classification Anilesh Krishnaswamy, Zhihao Jiang, Kangning Wang, Yu Cheng, Kamesh Munagala

AAAI 2021 Automated Mechanism Design for Classification with Partial Verification Hanrui Zhang, Yu Cheng, Vincent Conitzer

NeurIPS 2021 Chasing Sparsity in Vision Transformers: An End-to-End Exploration Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang

AAAI 2021 Classification with Few Tests Through Self-Selection Hanrui Zhang, Yu Cheng, Vincent Conitzer

CVPR 2021 Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie

NeurIPS 2021 Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

CVPR 2021 Few-Shot Object Detection via Classification Refinement and Distractor Retreatment Yiting Li, Haiyue Zhu, Yu Cheng, Wenxin Wang, Chek Sing Teo, Cheng Xiang, Prahlad Vadakkepat, Tong Heng Lee

AAAI 2021 Graph and Temporal Convolutional Networks for 3D Multi-Person Pose Estimation in Monocular Videos Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan

ICLR 2021 InfoBERT: Improving Robustness of Language Models from an Information Theoretic Perspective Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

ECML-PKDD 2021 MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein

WACV 2021 Meta Module Network for Compositional Visual Reasoning Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu

CVPR 2021 Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-up Networks Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan

ICLR 2021 Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time Yu Cheng, Honghao Lin

NeurIPS 2021 The Elastic Lottery Ticket Hypothesis Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang

CVPR 2021 UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu

AAAI 2020 3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training Yu Cheng, Bo Yang, Bo Wang, Robby T. Tan

ECCV 2020 Behind the Scene: Revealing the Secrets of Pre-Trained Vision-and-Language Models Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu

ICLR 2020 FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu

ICML 2020 Graph Optimal Transport for Cross-Domain Alignment Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu

ICML 2020 High-Dimensional Robust Mean Estimation via Gradient Descent Yu Cheng, Ilias Diakonikolas, Rong Ge, Mahdi Soltanolkotabi

NeurIPS 2020 Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu

ECCV 2020 Object Tracking Using Spatio-Temporal Networks for Future Prediction Location Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, Xiubao Sui

ECCV 2020 UNITER: UNiversal Image-TExt Representation Learning Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu

AAAI 2020 What Makes a Good Story? Designing Composite Rewards for Visual Storytelling Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig

AAAI 2019 A Better Algorithm for Societal Tradeoffs Hanrui Zhang, Yu Cheng, Vincent Conitzer

ICCVW 2019 A Graph Based Unsupervised Feature Aggregation for Face Recognition Yu Cheng, Yanfeng Li, Qiankun Liu, Yuan Yao, Venkata Sai Vijay Kumar Pedapudi, Xiaotian Fan, Chi Su, Shengmei Shen

NeurIPS 2019 Distinguishing Distributions When Samples Are Strategically Transformed Hanrui Zhang, Yu Cheng, Vincent Conitzer

COLT 2019 Faster Algorithms for High-Dimensional Robust Covariance Estimation Yu Cheng, Ilias Diakonikolas, Rong Ge, David P. Woodruff

AAAI 2019 Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng

ICML 2019 When Samples Are Strategically Selected Hanrui Zhang, Yu Cheng, Vincent Conitzer

IJCAI 2018 3D-Aided Deep Pose-Invariant Face Recognition Jian Zhao, Lin Xiong, Yu Cheng, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng

NeurIPS 2018 Dialog-Based Interactive Image Retrieval Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogerio Feris

CVPRW 2018 Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic Anomaly Detection Yan Xu, Xi Ouyang, Yu Cheng, Shining Yu, Lin Xiong, Choon-Ching Ng, Sugiri Pranata, Shengmei Shen, Junliang Xing

COLT 2018 Non-Convex Matrix Completion Against a Semi-Random Adversary Yu Cheng, Rong Ge

AAAI 2018 On the Distortion of Voting with Multiple Representative Candidates Yu Cheng, Shaddin Dughmi, David Kempe

NeurIPS 2018 Robust Learning of Fixed-Structure Bayesian Networks Yu Cheng, Ilias Diakonikolas, Daniel Kane, Alistair Stewart

ICLR 2018 Sobolev GAN Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng

CVPR 2017 Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogerio Feris

ICCVW 2017 High Performance Large Scale Face Recognition with Multi-Cognition SoftMax and Feature Retrieval Yan Xu, Yu Cheng, Jian Zhao, Zhecan Wang, Lin Xiong, Jayashree Karlekar, Hajime Tamura, Tomoyuki Kagaya, Sugiri Pranata, Shengmei Shen, Jiashi Feng, Junliang Xing

ICCV 2017 Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-Identification Shuangjie Xu, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou

ICCVW 2017 Know You at One Glance: A Compact Vector Representation for Low-Shot Learning Yu Cheng, Jian Zhao, Zhecan Wang, Yan Xu, Jayashree Karlekar, Shengmei Shen, Jiashi Feng

NeurIPS 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabas Poczos

CVPR 2017 S3Pool: Pooling with Stochastic Spatial Sampling Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogerio Feris

ICML 2016 Deep Structured Energy Based Models for Anomaly Detection Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang

NeurIPS 2016 Doubly Convolutional Neural Networks Shuangfei Zhai, Yu Cheng, Zhongfei Zhang, Weining Lu

NeurIPS 2016 On the Recursive Teaching Dimension of VC Classes Xi Chen, Xi Chen, Yu Cheng, Bo Tang

CVPR 2016 Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data Jing Wang, Yu Cheng, Rogerio Schmidt Feris

ICCV 2015 An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections Yu Cheng, Felix X. Yu, Rogerio S. Feris, Sanjiv Kumar, Alok Choudhary, Shi-Fu Chang

COLT 2015 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng

CVPR 2014 Temporal Sequence Modeling for Video Event Detection Yu Cheng, Quanfu Fan, Sharath Pankanti, Alok Choudhary

IJCAI 2013 Forecast Oriented Classification of Spatio-Temporal Extreme Events Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, Alok N. Choudhary