Zhang, Zhenyu

77 publications

AAAI 2025 Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation Tianyidan Xie, Rui Ma, Qian Wang, Xiaoqian Ye, Feixuan Liu, Ying Tai, Zhenyu Zhang, Lanjun Wang, Zili Yi

CVPR 2025 Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu

ICCV 2025 Describe, Don't Dictate: Semantic Image Editing with Natural Language Intent En Ci, Shanyan Guan, Yanhao Ge, Yilin Zhang, Wei Li, Zhenyu Zhang, Jian Yang, Ying Tai

ICLR 2025 Diffusion-Based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting Qi Li, Zhenyu Zhang, Lei Yao, Zhaoxia Li, Tianyi Zhong, Yong Zhang

AAAI 2025 Exploiting Multimodal Spatial-Temporal Patterns for Video Object Tracking Xiantao Hu, Ying Tai, Xu Zhao, Chen Zhao, Zhenyu Zhang, Jun Li, Bineng Zhong, Jian Yang

ICML 2025 Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More Xialie Zhuang, Zhikai Jia, Jianjin Li, Zhenyu Zhang, Li Shen, Zheng Cao, Shiwei Liu

ICML 2025 Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions Are Needed in Transformer Yilong Chen, Junyuan Shang, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang

CVPRW 2025 NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li

ICML 2025 On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella

CPAL 2025 Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients Zhenyu Zhang, Ajay Kumar Jaiswal, Lu Yin, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang

ICLR 2025 R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li

NeurIPS 2025 ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents Zhenyu Zhang, Tianyi Chen, Weiran Xu, Alex Pentland, Jiaxin Pei

ICCV 2025 STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Rui Xie, Yinhong Liu, Penghao Zhou, Chen Zhao, Jun Zhou, Kai Zhang, Zhenyu Zhang, Jian Yang, Zhenheng Yang, Ying Tai

IJCAI 2025 Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Zihang Liu, Zhenyu Zhang, Hao Tang

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

ICCV 2025 StrandHead: Text to Hair-Disentangled 3D Head Avatars Using Human-Centric Priors Xiaokun Sun, Zeyu Cai, Ying Tai, Jian Yang, Zhenyu Zhang

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

ICML 2024 CaM: Cache Merging for Memory-Efficient LLMs Inference Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji

NeurIPSW 2024 Convergence Rates of Bayesian Network Policy Gradient for Cooperative Multi-Agent Reinforcement Learning Dingyang Chen, Zhenyu Zhang, Xiaolong Kuang, Xinyang Shen, Ozalp Ozer, Qi Zhang

NeurIPS 2024 DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun

NeurIPS 2024 Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang

NeurIPSW 2024 GaLore-Mini: Low Rank Gradient Learning with Fewer Learning Rates Weihao Huang, Zhenyu Zhang, Yushun Zhang, Zhi-Quan Luo, Ruoyu Sun, Zhangyang Wang

ICML 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian

ICLRW 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian

ICML 2024 Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen

AISTATS 2024 HintMiner: Automatic Question Hints Mining from Q&A Web Posts with Language Model via Self-Supervised Learning Zhenyu Zhang, JiuDong Yang

ICLR 2024 JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon Shaolei Du

NeurIPS 2024 Learning to Decouple the Lights for 3D Face Texture Modeling Tianxin Huang, Zhenyu Zhang, Ying Tai, Gim Hee Lee

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

ICML 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu

ICLRW 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu

ICML 2024 Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All at Once Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang

AAAI 2024 Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu

CVPR 2024 Tri-Perspective View Decomposition for Geometry-Aware Depth Completion Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, Yufei Wang, Zhenyu Zhang, Jun Li, Jian Yang

CVPRW 2023 Accelerable Lottery Tickets with the Mixed-Precision Quantization Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang

ICML 2023 Are Large Kernels Better Teachers than Transformers for ConvNets? Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu

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

CVPR 2023 ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen, Hao Tian, Hua Wu, Haifeng Wang

ECML-PKDD 2023 Enhancing Table Retrieval with Dual Graph Representations Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu

CVPR 2023 Graph Transformer GANs for Graph-Constrained House Generation Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool

NeurIPS 2023 H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark Barrett, Zhangyang "Atlas" Wang, Beidi Chen

ICMLW 2023 H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Re, Clark Barrett, Zhangyang Wang, Beidi Chen

CVPRW 2023 Hybrid Transformer and CNN Attention Network for Stereo Image Super-Resolution Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Weiqi Li, Zhenyu Zhang, Xuhan Sheng, Shijie Zhao, Junlin Li, Li Zhang

NeurIPSW 2023 JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon Du

CVPR 2023 Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild Zhenyu Zhang, Renwang Chen, Weijian Cao, Ying Tai, Chengjie Wang

ICCV 2023 Learning Versatile 3D Shape Generation with Improved Auto-Regressive Models Simian Luo, Xuelin Qian, Yanwei Fu, Yinda Zhang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Xiangyang Xue

CVPR 2023 Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu

CVPRW 2023 NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results Mingdeng Cao, Chong Mou, Fanghua Yu, Xintao Wang, Yinqiang Zheng, Jian Zhang, Chao Dong, Gen Li, Ying Shan, Radu Timofte, Xiaopeng Sun, Weiqi Li, Zhenyu Zhang, Xuhan Sheng, Bin Chen, Haoyu Ma, Ming Cheng, Shijie Zhao, Wanwan Cui, Tianyu Xu, Chunyang Li, Long Bao, Heng Sun, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Renlong Wu, Yi Yang, Zhilu Zhang, Shuohao Zhang, Junyi Li, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qian Wang, Hao-Hsiang Yang, Yi-Chung Chen, Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Zebin Zhang, Jiaqi Zhang, Yuhui Wang, Shuhao Cui, Junshi Huang, Li Zhu, Shuman Tian, Wei Yu, Bingchun Luo

CVPRW 2023 OPDN: Omnidirectional Position-Aware Deformable Network for Omnidirectional Image Super-Resolution Xiaopeng Sun, Weiqi Li, Zhenyu Zhang, Qiufang Ma, Xuhan Sheng, Ming Cheng, Haoyu Ma, Shijie Zhao, Jian Zhang, Junlin Li, Li Zhang

ICML 2023 Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? Ruisi Cai, Zhenyu Zhang, Zhangyang Wang

ICLR 2023 Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang

ICLR 2023 Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang

TMLR 2022 Can You Win Everything with a Lottery Ticket? Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang

ICML 2022 Data-Efficient Double-Win Lottery Tickets from Robust Pre-Training Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

CVPR 2022 Learning to Restore 3D Face from In-the-Wild Degraded Images Zhenyu Zhang, Yanhao Ge, Ying Tai, Xiaoming Huang, Chengjie Wang, Hao Tang, Dongjin Huang, Zhifeng Xie

ICML 2022 Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang

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

CVPR 2022 Physically-Guided Disentangled Implicit Rendering for 3D Face Modeling Zhenyu Zhang, Yanhao Ge, Ying Tai, Weijian Cao, Renwang Chen, Kunlin Liu, Hao Tang, Xiaoming Huang, Chengjie Wang, Zhifeng Xie, Dongjin Huang

CVPR 2022 Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang

NeurIPS 2022 Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection Without Clean Datasets Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang

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

NeurIPS 2022 Sparse Winning Tickets Are Data-Efficient Image Recognizers Mukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang

ICLR 2022 Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, 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

CVPRW 2021 "BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang

ICML 2021 Efficient Lottery Ticket Finding: Less Data Is More Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang

ICLR 2021 GANs Can Play Lottery Tickets Too Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

CVPR 2021 Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection Zhenyu Zhang, Yanhao Ge, Renwang Chen, Ying Tai, Yan Yan, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang

ICLR 2021 Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang

ECML-PKDD 2021 NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu

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

ICLR 2021 Robust Overfitting May Be Mitigated by Properly Learned Smoothening Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang

NeurIPS 2021 You Are Caught Stealing My Winning Lottery Ticket! Making a Lottery Ticket Claim Its Ownership Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang

AAAI 2020 Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan

AAAI 2020 Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo

IJCAI 2019 Beyond Word Attention: Using Segment Attention in Neural Relation Extraction Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li

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