Li, Zhe

59 publications

ICCV 2025 A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation Rongtao Xu, Jian Zhang, Minghao Guo, Youpeng Wen, Haoting Yang, Min Lin, Jianzheng Huang, Zhe Li, Kaidong Zhang, Liqiong Wang, Yuxuan Kuang, Meng Cao, Feng Zheng, Xiaodan Liang
ICLR 2025 Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
CVPR 2025 AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction Lingteng Qiu, Shenhao Zhu, Qi Zuo, Xiaodong Gu, Yuan Dong, Junfei Zhang, Chao Xu, Zhe Li, Weihao Yuan, Liefeng Bo, Guanying Chen, Zilong Dong
ICLR 2025 BodyGen: Advancing Towards Efficient Embodiment Co-Design Haofei Lu, Zhe Wu, Junliang Xing, Jianshu Li, Ruoyu Li, Zhe Li, Yuanchun Shi
AAAI 2025 Bridging the User-Side Knowledge Gap in Knowledge-Aware Recommendations with Large Language Models Zheng Hu, Zhe Li, Ziyun Jiao, Satoshi Nakagawa, Jiawen Deng, Shimin Cai, Tao Zhou, Fuji Ren
CVPR 2025 DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning Kun Zhang, Jingyu Li, Zhe Li, S.Kevin Zhou
ICCV 2025 DanceEditor: Towards Iterative Editable Music-Driven Dance Generation with Open-Vocabulary Descriptions Hengyuan Zhang, Zhe Li, Xingqun Qi, Mengze Li, Muyi Sun, Siye Wang, Man Zhang, Sirui Han
CVPR 2025 Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-Low Bitrate Perception Image Compression Jinchang Xu, Shaokang Wang, Jintao Chen, Zhe Li, Peidong Jia, Fei Zhao, Guoqing Xiang, Zhijian Hao, Shanghang Zhang, Xiaodong Xie
NeurIPS 2025 Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-Wild}$ Cascading Flow Optimization Yixiao Chen, Shikun Sun, Jianshu Li, Ruoyu Li, Zhe Li, Junliang Xing
NeurIPS 2025 Exact and Linear Convergence for Federated Learning Under Arbitrary Client Participation Is Attainable Bicheng Ying, Zhe Li, Haibo Yang
IJCAI 2025 FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, S. Sitharama Iyengar, Haibo Yang
ICML 2025 HiRemate: Hierarchical Approach for Efficient Re-Materialization of Neural Networks Julia Gusak, Xunyi Zhao, Théotime Le Hellard, Zhe Li, Lionel Eyraud-Dubois, Olivier Beaumont
ICCV 2025 Hierarchy-Aware Pseudo Word Learning with Text Adaptation for Zero-Shot Composed Image Retrieval Zhe Li, Lei Zhang, Zheren Fu, Kun Zhang, Zhendong Mao
ICLR 2025 LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning Zhe Li, Weihao Yuan, Yisheng He, Lingteng Qiu, Shenhao Zhu, Xiaodong Gu, Weichao Shen, Yuan Dong, Zilong Dong, Laurence Tianruo Yang
NeurIPS 2025 Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach Dandan Liang, Jianing Zhang, Evan Chen, Zhe Li, Rui Li, Haibo Yang
NeurIPS 2025 URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang
CVPR 2024 Animatable Gaussians: Learning Pose-Dependent Gaussian Maps for High-Fidelity Human Avatar Modeling Zhe Li, Zerong Zheng, Lizhen Wang, Yebin Liu
ECCVW 2024 Data-Efficient Generation for Dataset Distillation Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
NeurIPSW 2024 DeComFL: Federated Learning with Dimension-Free Communication Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
IJCAI 2024 Efficiency Calibration of Implicit Regularization in Deep Networks via Self-Paced Curriculum-Driven Singular Value Selection Zhe Li, Shuo Chen, Jian Yang, Lei Luo
ICML 2024 Energy-Based Backdoor Defense Without Task-Specific Samples and Model Retraining Yudong Gao, Honglong Chen, Peng Sun, Zhe Li, Junjian Li, Huajie Shao
CVPR 2024 Gaussian Head Avatar: Ultra High-Fidelity Head Avatar via Dynamic Gaussians Yuelang Xu, Benwang Chen, Zhe Li, Hongwen Zhang, Lizhen Wang, Zerong Zheng, Yebin Liu
CVPR 2024 General Point Model Pretraining with Autoencoding and Autoregressive Zhe Li, Zhangyang Gao, Cheng Tan, Bocheng Ren, Laurence T. Yang, Stan Z. Li
MLJ 2024 Knowledge-Aware Image Understanding with Multi-Level Visual Representation Enhancement for Visual Question Answering Feng Yan, Zhe Li, Wushour Silamu, Yanbing Li
CVPR 2024 MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-Guided Contrastive Learning Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li
ECCV 2024 MeshAvatar: Learning High-Quality Triangular Human Avatars from Multi-View Videos Yushuo Chen, Zerong Zheng, Zhe Li, Chao Xu, Yebin Liu
CVPR 2024 TexVocab: Texture Vocabulary-Conditioned Human Avatars Yuxiao Liu, Zhe Li, Yebin Liu, Haoqian Wang
CVPRW 2024 ViTKD: Feature-Based Knowledge Distillation for Vision Transformers Zhendong Yang, Zhe Li, Ailing Zeng, Zexian Li, Chun Yuan, Yu Li
IJCAI 2023 A Bitwise GAC Algorithm for Alldifferent Constraints Zhe Li, Yaohua Wang, Zhanshan Li
ICCV 2023 From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels Zhendong Yang, Ailing Zeng, Zhe Li, Tianke Zhang, Chun Yuan, Yu Li
CVPR 2023 Resource-Efficient RGBD Aerial Tracking Jinyu Yang, Shang Gao, Zhe Li, Feng Zheng, Aleš Leonardis
IJCAI 2023 SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
ECCV 2022 AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture Zhe Li, Zerong Zheng, Hongwen Zhang, Chaonan Ji, Yebin Liu
CVPRW 2022 CAMION: Cascade Multi-Input Multi-Output Network for Skeleton Extraction Sheng Fang, Kaiyu Li, Zhe Li
CVPR 2022 Focal and Global Knowledge Distillation for Detectors Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan
ECCVW 2022 Learning Dual-Fused Modality-Aware Representations for RGBD Tracking Shang Gao, Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song
NeurIPSW 2022 Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks Zhe Li, Andreas S. Tolias, Xaq Pitkow
ECCV 2022 Masked Generative Distillation Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan
ECCVW 2022 The Tenth Visual Object Tracking VOT2022 Challenge Results Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang
ECCV 2022 Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Aleš Leonardis, Feng Zheng
CVPRW 2021 Class-Incremental Learning with Generative Classifiers Gido M. van de Ven, Zhe Li, Andreas S. Tolias
CVPR 2021 Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, Dezhi Peng, Zhe Li, Mengchao He, Yongpan Wang, Canjie Luo
ICCV 2021 Lightweight Multi-Person Total Motion Capture Using Sparse Multi-View Cameras Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu
CVPR 2021 POSEFusion: Pose-Guided Selective Fusion for Single-View Human Volumetric Capture Zhe Li, Tao Yu, Zerong Zheng, Kaiwen Guo, Yebin Liu
CVPR 2021 Temporal Action Segmentation from Timestamp Supervision Zhe Li, Yazan Abu Farha, Jurgen Gall
AAAI 2020 Long Short-Term Sample Distillation Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi
AISTATS 2019 A Robust Zero-Sum Game Framework for Pool-Based Active Learning Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang
NeurIPS 2019 Learning from Brains How to Regularize Machines Zhe Li, Wieland Brendel, Edgar Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian Sinz, Zachary Pitkow, Andreas Tolias
IJCAI 2019 Reading Selectively via Binary Input Gated Recurrent Unit Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng
AISTATS 2018 A Simple Analysis for Exp-Concave Empirical Minimization with Arbitrary Convex Regularizer Tianbao Yang, Zhe Li, Lijun Zhang
IJCAI 2018 A Unified Analysis of Stochastic Momentum Methods for Deep Learning Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang
NeurIPS 2018 Adaptive Negative Curvature Descent with Applications in Non-Convex Optimization Mingrui Liu, Zhe Li, Xiaoyu Wang, Jinfeng Yi, Tianbao Yang
AAAI 2018 Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
AAAI 2017 A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin
IJCAI 2017 SVD-Free Convex-Concave Approaches for Nuclear Norm Regularization Yichi Xiao, Zhe Li, Tianbao Yang, Lijun Zhang
ICML 2017 Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan
AAAI 2016 Fast and Accurate Refined Nyström-Based Kernel SVM Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin
NeurIPS 2016 Improved Dropout for Shallow and Deep Learning Zhe Li, Boqing Gong, Tianbao Yang
CVPR 2011 A Unified Framework for Locating and Recognizing Human Actions Yuelei Xie, Hong Chang, Zhe Li, Luhong Liang, Xilin Chen, Debin Zhao