Li, Zhiwei

25 publications

NeurIPS 2025 Compress Large Language Models via Collaboration Between Learning and Matrix Approximation Yuesen Liao, Zhiwei Li, Binrui Wu, Zihao Cheng, Su Zhao, Shuai Chen, Weizhong Zhang

NeurIPS 2025 Computation and Memory-Efficient Model Compression with Gradient Reweighting Zhiwei Li, Yuesen Liao, Binrui Wu, Yuquan Zhou, Xupeng Shi, Dongsheng Jiang, Yin Li, Weizhong Zhang

NeurIPS 2025 Efficient Representativeness-Aware Coreset Selection Zihao Cheng, Binrui Wu, Zhiwei Li, Yuesen Liao, Su Zhao, Shuai Chen, Yuan Gao, Weizhong Zhang

CVPR 2025 MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception Wenzhuo Liu, Wenshuo Wang, Yicheng Qiao, Qiannan Guo, Jiayin Zhu, Pengfei Li, Zilong Chen, Huiming Yang, Zhiwei Li, Lening Wang, Tiao Tan, Huaping Liu

AAAI 2025 Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang

NeurIPS 2025 Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning Yuhao Zhou, Yiheng Wang, Xuming He, Ruoyao Xiao, Zhiwei Li, Qiantai Feng, Zijie Guo, Yuejin Yang, Hao Wu, Wenxuan Huang, Jiaqi Wei, Dan Si, Yao Xiuqi, Jia Bu, Haiwen Huang, Tianfan Fu, Shixiang Tang, Ben Fei, Dongzhan Zhou, Fenghua Ling, Yan Lu, Siqi Sun, Chenhui Li, Guanjie Zheng, Jiancheng Lv, Wenlong Zhang, Lei Bai

ECCV 2024 Continuity Preserving Online CenterLine Graph Learning Yunhui Han, Kun Yu, Zhiwei Li

ICLR 2024 Federated Recommendation with Additive Personalization Zhiwei Li, Guodong Long, Tianyi Zhou

NeurIPS 2024 Low Precision Local Training Is Enough for Federated Learning Zhiwei Li, Yiqiu Li, Binbin Lin, Zhongming Jin, Weizhong Zhang

IJCAI 2023 Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning Zijian Yang, Zhiwei Li, Lu Sun

CVPRW 2023 Self-Supervised Video Interaction Classification Using Image Representation of Skeleton Data Farzaneh Askari, Ruixi Jiang, Zhiwei Li, Jiatong Niu, Yuyan Shi, James J. Clark

AAAI 2020 Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, Kuiyuan Yang

CVPR 2017 Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao, Kaiqi Huang

CVPR 2016 Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency Chi Zhang, Zhiwei Li, Rui Cai, Hongyang Chao, Yong Rui

IJCAI 2016 Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition Yanhua Cheng, Xin Zhao, Rui Cai, Zhiwei Li, Kaiqi Huang, Yong Rui

ICCV 2015 MeshStereo: A Global Stereo Model with Mesh Alignment Regularization for View Interpolation Chi Zhang, Zhiwei Li, Yanhua Cheng, Rui Cai, Hongyang Chao, Yong Rui

ICCV 2015 Query Adaptive Similarity Measure for RGB-D Object Recognition Yanhua Cheng, Rui Cai, Chi Zhang, Zhiwei Li, Xin Zhao, Kaiqi Huang, Yong Rui

ECCV 2014 As-Rigid-as-Possible Stereo Under Second Order Smoothness Priors Chi Zhang, Zhiwei Li, Rui Cai, Hongyang Chao, Yong Rui

CVPR 2013 Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition Qiang Hao, Rui Cai, Zhiwei Li, Lei Zhang, Yanwei Pang, Feng Wu, Yong Rui

CVPR 2012 3D Visual Phrases for Landmark Recognition Qiang Hao, Rui Cai, Zhiwei Li, Lei Zhang, Yanwei Pang, Feng Wu

CVPR 2011 Rank-SIFT: Learning to Rank Repeatable Local Interest Points Bing Li, Rong Xiao, Zhiwei Li, Rui Cai, Bao-Liang Lu, Lei Zhang

ECCV 2010 Max-Margin Dictionary Learning for Multiclass Image Categorization Xiao-Chen Lian, Zhiwei Li, Bao-Liang Lu, Lei Zhang

CVPR 2010 Probabilistic Models for Supervised Dictionary Learning Xiao-Chen Lian, Zhiwei Li, Changhu Wang, Bao-Liang Lu, Lei Zhang

CVPR 2010 Spatial-Bag-of-Features Yang Cao, Changhu Wang, Zhiwei Li, Liqing Zhang, Lei Zhang

ICCV 2009 Efficient Indexing for Large Scale Visual Search Xiao Zhang, Zhiwei Li, Lei Zhang, Wei-Ying Ma, Heung-Yeung Shum