Yao, Jiangchao

58 publications

NeurIPS 2025 4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming Zihan Zheng, Zhenlong Wu, Houqiang Zhong, Yuan Tian, Ning Cao, Lan Xu, Jiangchao Yao, Xiaoyun Zhang, Qiang Hu, Wenjun Zhang

ICML 2025 CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration Haoyun Jiang, Haolin Li, Jianwei Zhang, Fei Huang, Qiang Hu, Minmin Sun, Shuai Xiao, Yong Li, Junyang Lin, Jiangchao Yao

ICCV 2025 Differential-Informed Sample Selection Accelerates Multimodal Contrastive Learning Zihua Zhao, Feng Hong, Mengxi Chen, Pengyi Chen, Benyuan Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang

ICLR 2025 Fast and Accurate Blind Flexible Docking Zizhuo Zhang, Lijun Wu, Kaiyuan Gao, Jiangchao Yao, Tao Qin, Bo Han

ICML 2025 From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions Under Incomplete Information? Zhanke Zhou, Xiao Feng, Zhaocheng Zhu, Jiangchao Yao, Sanmi Koyejo, Bo Han

CVPR 2025 LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant Yikun Liu, Yajie Zhang, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiangchao Yao, Yanfeng Wang, Weidi Xie

AAAI 2025 Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning Hui Fang, Yang Gao, Peng Zhang, Jiangchao Yao, Hongyang Chen, Haishuai Wang

NeurIPS 2025 Learning to Instruct for Visual Instruction Tuning Zhihan Zhou, Feng Hong, Jiaan Luo, Yushi Ye, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang

NeurIPS 2025 Long-Tailed Recognition with Model Rebalancing Jiaan Luo, Feng Hong, Qiang Hu, Xiaofeng Cao, Feng Liu, Jiangchao Yao

AAAI 2025 MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo, Ke Liu, Jiangchao Yao, Zhihua Wang, Jiajun Bu, Haishuai Wang

ICML 2025 MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition Yuhuan Yang, Chaofan Ma, Zhenjie Mao, Jiangchao Yao, Ya Zhang, Yanfeng Wang

CVPR 2025 Multi-Modal Medical Diagnosis via Large-Small Model Collaboration Wanyi Chen, Zihua Zhao, Jiangchao Yao, Ya Zhang, Jiajun Bu, Haishuai Wang

NeurIPS 2025 RAD: Towards Trustworthy Retrieval-Augmented Multi-Modal Clinical Diagnosis Haolin Li, Tianjie Dai, Zhe Chen, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang

NeurIPS 2025 SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation Zhenjie Mao, Yuhuan Yang, Chaofan Ma, Dongsheng Jiang, Jiangchao Yao, Ya Zhang, Yanfeng Wang

MLJ 2025 Sandbox: Safeguarded Multi-Label Learning Through Safe Optimal Transport Lefei Zhang, Geng Yu, Jiangchao Yao, Yew-Soon Ong, Ivor W. Tsang, James T. Kwok

IJCAI 2025 Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition Hangyu Li, Yixin Zhang, Jiangchao Yao, Nannan Wang, Bo Han

MLJ 2025 Uncover the Balanced Geometry in Long-Tailed Contrastive Language-Image Pretraining Zhihan Zhou, Yushi Ye, Feng Hong, Peisen Zhao, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang

NeurIPSW 2024 DeepInception: Hypnotize Large Language Model to Be Jailbreaker Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han

ICML 2024 Diversified Batch Selection for Training Acceleration Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor Tsang, Yanfeng Wang

ICLR 2024 Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang

ICML 2024 Exploring Training on Heterogeneous Data with Mixture of Low-Rank Adapters Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang

ICLR 2024 Less Is More: One-Shot Subgraph Reasoning on Large-Scale Knowledge Graphs Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han

ICML 2024 Locally Estimated Global Perturbations Are Better than Local Perturbations for Federated Sharpness-Aware Minimization Ziqing Fan, Shengchao Hu, Jiangchao Yao, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang

ICLR 2024 Long-Tailed Diffusion Models with Oriented Calibration Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang

CVPR 2024 Low-Rank Knowledge Decomposition for Medical Foundation Models Yuhang Zhou, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang

ICML 2024 Mitigating Label Noise on Graphs via Topological Sample Selection Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu

CVPR 2024 Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang

ICLR 2024 Neural Atoms: Propagating Long-Range Interaction in Molecular Graphs Through Efficient Communication Channel Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

ICLR 2024 On Harmonizing Implicit Subpopulations Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang

NeurIPS 2024 Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness Mengxi Chen, Fei Zhang, Zihua Zhao, Jiangchao Yao, Ya Zhang, Yanfeng Wang

ECCV 2024 ReMamber: Referring Image Segmentation with Mamba Twister Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya Zhang, Yanfeng Wang

NeurIPS 2024 Revive Re-Weighting in Imbalanced Learning by Density Ratio Estimation Jiaan Luo, Feng Hong, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang

NeurIPS 2024 Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection Geng Yu, Jianing Zhu, Jiangchao Yao, Bo Han

ICML 2024 Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu

CVPR 2023 Class-Balancing Diffusion Models Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang

NeurIPS 2023 Combating Bilateral Edge Noise for Robust Link Prediction Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han

ICLR 2023 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han

NeurIPS 2023 Combating Representation Learning Disparity with Geometric Harmonization Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang

TMLR 2023 Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou

NeurIPS 2023 Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu, Yu Geng, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han

ICML 2023 Exploring Model Dynamics for Accumulative Poisoning Discovery Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han

CVPR 2023 Federated Domain Generalization with Generalization Adjustment Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang

TMLR 2023 Federated Learning Under Partially Disjoint Data via Manifold Reshaping Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Yanfeng Wang, Ya Zhang

NeurIPS 2023 Federated Learning with Bilateral Curation for Partially Class-Disjoint Data Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang

NeurIPSW 2023 Long-Range Neural Atom Learning for Molecular Graphs Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

ICLR 2023 Long-Tailed Partial Label Learning via Dynamic Rebalancing Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang

AAAI 2023 NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu

ICML 2023 On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han

NeurIPS 2023 Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang

ICML 2023 Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han

ICML 2022 Contrastive Learning with Boosted Memorization Zhihan Zhou, Jiangchao Yao, Yan-Feng Wang, Bo Han, Ya Zhang

ICLR 2022 Reliable Adversarial Distillation with Unreliable Teachers Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang

AAAI 2021 Learning with Group Noise Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han

ICML 2019 How Does Disagreement Help Generalization Against Label Corruption? Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor Tsang, Masashi Sugiyama

AAAI 2019 Safeguarded Dynamic Label Regression for Noisy Supervision Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun

AAAI 2019 Understanding VAEs in Fisher-Shannon Plane Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang

IJCAI 2018 Collaborative Learning for Weakly Supervised Object Detection Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang

NeurIPS 2018 Masking: A New Perspective of Noisy Supervision Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor Tsang, Ya Zhang, Masashi Sugiyama