Zhang, Yuan

55 publications

ICML 2025 A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models Yiming Chen, Yuan Zhang, Yin Liu, Kun Yuan, Zaiwen Wen

WACV 2025 A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification Yuan Zhang, Yutong Xie, Hu Wang, Jodie C Avery, M Louise Hull, Gustavo Carneiro

NeurIPS 2025 Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Qizhe Zhang, Mengzhen Liu, Lichen Li, Ming Lu, Yuan Zhang, Junwen Pan, Qi She, Shanghang Zhang

NeurIPS 2025 Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning Kai Hu, Zhang Yu, Yuan Zhang, Zhineng Chen, Xieping Gao

TMLR 2025 Constrained Reinforcement Learning with Smoothed Log Barrier Function Baohe Zhang, Yuan Zhang, Hao Zhu, Shengchao Yan, Thomas Brox, Joschka Boedecker

ICCV 2025 DLF: Extreme Image Compression with Dual-Generative Latent Fusion Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu

AAAI 2025 Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation Yanglin Huang, Kai Hu, Yuan Zhang, Zhineng Chen, Xieping Gao

ICLR 2025 Enhancing Zeroth-Order Fine-Tuning for Language Models with Low-Rank Structures Yiming Chen, Yuan Zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen

NeurIPS 2025 Faithful Group Shapley Value Kiljae Lee, Ziqi Liu, Weijing Tang, Yuan Zhang

ICLR 2025 From Decoupling to Adaptive Transformation: A Wider Optimization Space for PTQ Zhaojing Wen, Qiulin Zhang, Yuan Zhang, Rudan Chen, Xichao Yang, Di Xie, Jiang Zhu

NeurIPS 2025 Generative Pre-Trained Autoregressive Diffusion Transformer Yuan Zhang, Jiacheng Jiang, Guoqing Ma, Zhiying Lu, Bo Wang, Haoyang Huang, Jianlong Yuan, Nan Duan

NeurIPS 2025 Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads Zhoutong Wu, Yuan Zhang, Yiming Dong, Chenheng Zhang, Cong Fang, Kun Yuan, Zhouchen Lin

ICLR 2025 Leave-One-Out Stable Conformal Prediction Kiljae Lee, Yuan Zhang

CVPR 2025 MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Jiajun Cao, Yuan Zhang, Tao Huang, Ming Lu, Qizhe Zhang, Ruichuan An, Ningning Ma, Shanghang Zhang

ICCV 2025 OmniHuman-1: Rethinking the Scaling-up of One-Stage Conditioned Human Animation Models Gaojie Lin, Jianwen Jiang, Jiaqi Yang, Zerong Zheng, Chao Liang, Yuan Zhang, Jingtuo Liu

NeurIPS 2025 One-Step Diffusion-Based Image Compression with Semantic Distillation Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu

NeurIPS 2025 Orochi: Versatile Biomedical Image Processor Gaole Dai, Chenghao Zhou, Yu Zhou, Rongyu Zhang, Yuan Zhang, Chengkai Hou, Tiejun Huang, Jianxu Chen, Shanghang Zhang

CVPR 2025 RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete Yuheng Ji, Huajie Tan, Jiayu Shi, Xiaoshuai Hao, Yuan Zhang, Hengyuan Zhang, Pengwei Wang, Mengdi Zhao, Yao Mu, Pengju An, Xinda Xue, Qinghang Su, Huaihai Lyu, Xiaolong Zheng, Jiaming Liu, Zhongyuan Wang, Shanghang Zhang

ICML 2025 SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning Gaole Dai, Chun-Kai Fan, Yiming Tang, Zhi Zhang, Yuan Zhang, Yulu Gan, Qizhe Zhang, Cheng-Ching Tseng, Shanghang Zhang, Tiejun Huang

ICML 2025 SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis A Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang

ICML 2025 The Ripple Effect: On Unforeseen Complications of Backdoor Attacks Rui Zhang, Yun Shen, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Yuan Zhang, Guowen Xu, Yang Zhang

NeurIPS 2024 Artemis: Towards Referential Understanding in Complex Videos Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David Doermann, Qixiang Ye, Yunjie Tian

CVPR 2024 Cloud-Device Collaborative Learning for Multimodal Large Language Models Guanqun Wang, Jiaming Liu, Chenxuan Li, Yuan Zhang, Junpeng Ma, Xinyu Wei, Kevin Zhang, Maurice Chong, Renrui Zhang, Yijiang Liu, Shanghang Zhang

ECCV 2024 Energy-Induced Explicit Quantification for Multi-Modality MRI Fusion Xiaoming Qi, Yuan Zhang, Tong Wang, Guanyu Yang, Yueming Jin, Shuo Li

CVPR 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection Feng Xue, Zi He, Yuan Zhang, Chuanlong Xie, Zhenguo Li, Falong Tan

CVPR 2024 FreeKD: Knowledge Distillation via Semantic Frequency Prompt Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang

ICMLW 2024 Learning When to Trust the Expert for Guided Exploration in RL Felix Schulz, Jasper Hoffmann, Yuan Zhang, Joschka Boedecker

CVPRW 2024 Multi-Angle Consistent Generative NeRF with Additive Angular Margin Momentum Contrastive Learning Hang Zou, Hui Zhang, Yuan Zhang, Hui Ma, Dexin Zhao, Qi Zhang, Qi Li

NeurIPS 2024 Multi-View Masked Contrastive Representation Learning for Endoscopic Video Analysis Kai Hu, Ye Xiao, Yuan Zhang, Xieping Gao

NeurIPS 2024 One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation Kai Hu, Jinhao Li, Yuan Zhang, Xiongjun Ye, Xieping Gao

ICML 2024 Open Ad Hoc Teamwork with Cooperative Game Theory Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski

NeurIPS 2024 Unveiling the Tapestry of Consistency in Large Vision-Language Models Yuan Zhang, Fei Xiao, Tao Huang, Chun-Kai Fan, Hongyuan Dong, Jiawen Li, Jiacong Wang, Kuan Cheng, Shanghang Zhang, Haoyuan Guo

ICCV 2023 DVIS: Decoupled Video Instance Segmentation Framework Tao Zhang, Xingye Tian, Yu Wu, Shunping Ji, Xuebo Wang, Yuan Zhang, Pengfei Wan

TMLR 2023 Differentially Private Optimizers Can Learn Adversarially Robust Models Zhiqi Bu, Yuan Zhang

ICCV 2023 Dynamic Snake Convolution Based on Topological Geometric Constraints for Tubular Structure Segmentation Yaolei Qi, Yuting He, Xiaoming Qi, Yuan Zhang, Guanyu Yang

NeurIPS 2023 Knowledge Diffusion for Distillation Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu

ICLR 2023 Masked Distillation with Receptive Tokens Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu

CoRL 2023 Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang, Jianhong Wang, Joschka Boedecker

NeurIPS 2022 "Lossless" Compression of Deep Neural Networks: A High-Dimensional Neural Tangent Kernel Approach Lingyu Gu, Yongqi Du, Yuan Zhang, Di Xie, Shiliang Pu, Robert Qiu, Zhenyu Liao

CVPRW 2022 An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Yuan Zhang, Yuan Wang

CVPR 2022 MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image Xingyu Chen, Yufeng Liu, Yajiao Dong, Xiong Zhang, Chongyang Ma, Yanmin Xiong, Yuan Zhang, Xiaoyan Guo

NeurIPS 2022 SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning Jianhong Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim

AAAI 2021 Cross-Layer Distillation with Semantic Calibration Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen

AAAI 2021 Interactive Speech and Noise Modeling for Speech Enhancement Chengyu Zheng, Xiulian Peng, Yuan Zhang, Sriram Srinivasan, Yan Lu

CVPRW 2021 Localized Triplet Loss for Fine-Grained Fashion Image Retrieval Antonio D'Innocente, Nikhil Garg, Yuan Zhang, Loris Bazzani, Michael Donoser

ICLR 2021 Modelling Hierarchical Structure Between Dialogue Policy and Natural Language Generator with Option Framework for Task-Oriented Dialogue System Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

IJCAI 2021 Multi-Series Time-Aware Sequence Partitioning for Disease Progression Modeling Xi Yang, Yuan Zhang, Min Chi

IJCAI 2020 BlueMemo: Depression Analysis Through Twitter Posts Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei

ECCV 2020 Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma, Huayan Wang, Xiaoyan Guo, Wen Zheng

AAAI 2020 Neural Inheritance Relation Guided One-Shot Layer Assignment Search Rang Meng, Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu

AAAI 2020 Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

AAAI 2019 A Layer Decomposition-Recomposition Framework for Neuron Pruning Towards Accurate Lightweight Networks Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu

IJCAI 2019 ATTAIN: Attention-Based Time-Aware LSTM Networks for Disease Progression Modeling Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi

AAAI 2018 COSINE: Community-Preserving Social Network Embedding from Information Diffusion Cascades Yuan Zhang, Tianshu Lyu, Yan Zhang

IJCAI 2018 Learning Tag Dependencies for Sequence Tagging Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin