Jiangchao Yao

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 116

Top Venues

Publications

Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. CoRR (2024)
Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data. CoRR (2024)
Weiming Mai, Jiangchao Yao, Chen Gong, Ya Zhang, Yiu-Ming Cheung, Bo Han
Server-Client Collaborative Distillation for Federated Reinforcement Learning. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
Diversified Batch Selection for Training Acceleration. CoRR (2024)
Yuhang Zhou, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Reprogramming Distillation for Medical Foundation Models. CoRR (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR (2024)
Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
Long-tailed Diffusion Models with Oriented Calibration. ICLR (2024)
Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. ICLR (2024)
Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. CoRR (2024)
Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts. ICLR (2024)
Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts. CoRR (2024)
Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel. ICLR (2024)
Yuhang Zhou, Zihua Zhao, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. CoRR (2024)
Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya Zhang, Yanfeng Wang
ReMamber: Referring Image Segmentation with Mamba Twister. CoRR (2024)
Jianing Zhu, Bo Han, Jiangchao Yao, Jianliang Xu, Gang Niu, Masashi Sugiyama
Decoupling the Class Label and the Target Concept in Machine Unlearning. CoRR (2024)
Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Ya Zhang, Yanfeng Wang
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping. CoRR (2024)
Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya Zhang, Yanfeng Wang
UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification. IEEE Trans. Medical Imaging 43 (8) (2024)
Ziqing Fan, Shengchao Hu, Jiangchao Yao, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization. CoRR (2024)
Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao
Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation. WWW (Companion Volume) (2024)
Yuhang Zhou, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Low-Rank Knowledge Decomposition for Medical Foundation Models. CoRR (2024)
Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. CoRR (2024)
Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang
On Harmonizing Implicit Subpopulations. ICLR (2024)
Linyu Xing, Mengxi Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Pre-Post Interaction Learning for Brain Tumor Segmentation with Missing MRI Modalities. ICASSP (2024)
Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu
Mitigating Label Noise on Graph via Topological Sample Selection. CoRR (2024)
Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang
Latent Class-Conditional Noise Model. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Yanfeng Wang, Ya Zhang
Federated Learning under Partially Disjoint Data via Manifold Reshaping. Trans. Mach. Learn. Res. 2023 (2023)
Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang
Combating Representation Learning Disparity with Geometric Harmonization. NeurIPS (2023)
Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. CoRR (2023)
Jianing Zhu, Yu Geng, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. NeurIPS (2023)
Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang
Latent Class-Conditional Noise Model. CoRR (2023)
Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. ICLR (2023)
Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han
Combating Bilateral Edge Noise for Robust Link Prediction. NeurIPS (2023)
Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. CoRR (2023)
Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao, Ya Zhang, Yanfeng Wang
GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging. MICCAI (3) (2023)
Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Yanfeng Wang
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning. CoRR (2023)
Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
Class-Balancing Diffusion Models. CVPR (2023)
Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
Class-Balancing Diffusion Models. CoRR (2023)
Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data. NeurIPS (2023)
Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang
Federated Domain Generalization with Generalization Adjustment. CVPR (2023)
Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya Zhang, Yanfeng Wang
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification. CoRR (2023)
Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao
Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation. CoRR (2023)
Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
Long-Range Neural Atom Learning for Molecular Graphs. CoRR (2023)
Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han
Exploring Model Dynamics for Accumulative Poisoning Discovery. CoRR (2023)
Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation. CoRR (2023)
Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang
Long-Tailed Partial Label Learning via Dynamic Rebalancing. CoRR (2023)
Mengxi Chen, Jiangchao Yao, Linyu Xing, Yu Wang, Ya Zhang, Yanfeng Wang
Redundancy-Adaptive Multimodal Learning for Imperfect Data. CoRR (2023)
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023)
Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. AAAI (2023)
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yanyong Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training. CoRR (2023)
Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. ICML (2023)
Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. ICML (2023)
Jianing Zhu, Geng Yu, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. CoRR (2023)
Feng Hong, Tianjie Dai, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays. CoRR (2023)
Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang
Long-Tailed Partial Label Learning via Dynamic Rebalancing. ICLR (2023)
Yikun Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang, Weidi Xie
Zero-shot Composed Text-Image Retrieval. CoRR (2023)
Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han
DeepInception: Hypnotize Large Language Model to Be Jailbreaker. CoRR (2023)
Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang
Combating Representation Learning Disparity with Geometric Harmonization. CoRR (2023)
Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation. NeurIPS (2023)
Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han
Combating Bilateral Edge Noise for Robust Link Prediction. CoRR (2023)
Shoukai Xu, Jiangchao Yao, Ran Luo, Shuhai Zhang, Zihao Lian, Mingkui Tan, Yaowei Wang
Towards Efficient Task-Driven Model Reprogramming with Foundation Models. CoRR (2023)
Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. CoRR (2023)
Yikun Liu, Jiangchao Yao, Ya Zhang, Yan-Feng Wang, Weidi Xie
Zero-shot Composed Text-Image Retrieval. BMVC (2023)
Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han
Exploring Model Dynamics for Accumulative Poisoning Discovery. ICML (2023)
Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. CoRR (2022)
Zhihan Zhou, Jiangchao Yao, Yanfeng Wang, Bo Han, Ya Zhang
Contrastive Learning with Boosted Memorization. CoRR (2022)
Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang
Learning on Attribute-Missing Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang
Device-Cloud Collaborative Recommendation via Meta Controller. CoRR (2022)
Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. CoRR (2022)
Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
Reliable Adversarial Distillation with Unreliable Teachers. ICLR (2022)
Hao Wu, Jiangchao Yao
PEAR: Photographic Embedding for Aesthetic Rating. ICASSP (2022)
Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. ICDM (2022)
Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang
Device-cloud Collaborative Recommendation via Meta Controller. KDD (2022)
Zhihan Zhou, Jiangchao Yao, Yan-Feng Wang, Bo Han, Ya Zhang
Contrastive Learning with Boosted Memorization. ICML (2022)
Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei Zhang, Hongxia Yang
MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. CoRR (2021)
Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Cooperative Learning for Noisy Supervision. ICME (2021)
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR (2021)
Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang
Device-Cloud Collaborative Learning for Recommendation. KDD (2021)
Yujie Pan, Jiangchao Yao, Bo Han, Kunyang Jia, Ya Zhang, Hongxia Yang
Click-through Rate Prediction with Auto-Quantized Contrastive Learning. CoRR (2021)
Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang
Decoupled Variational Embedding for Signed Directed Networks. ACM Trans. Web 15 (1) (2021)
Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
Learning with Group Noise. CoRR (2021)
Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
Reliable Adversarial Distillation with Unreliable Teachers. CoRR (2021)
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
Contrastive Conditional Transport for Representation Learning. CoRR (2021)
Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang
Device-Cloud Collaborative Learning for Recommendation. CoRR (2021)
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
Sparse-Interest Network for Sequential Recommendation. WSDM (2021)
Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Cooperative Learning for Noisy Supervision. CoRR (2021)
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
Sparse-Interest Network for Sequential Recommendation. CoRR (2021)
Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
Learning with Group Noise. AAAI (2021)
Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang
Decoupled Variational Embedding for Signed Directed Networks. CoRR (2020)
Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang
Learning on Attribute-Missing Graphs. CoRR (2020)
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
How does Disagreement Help Generalization against Label Corruption? CoRR (2019)
Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang
Collaborative Label Correction via Entropy Thresholding. ICDM (2019)
Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CIKM (2019)
Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CoRR (2019)
Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang
Deep Learning From Noisy Image Labels With Quality Embedding. IEEE Trans. Image Process. 28 (4) (2019)
Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun
Safeguarded Dynamic Label Regression for Noisy Supervision. AAAI (2019)
Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang
Node Attribute Generation on Graphs. CoRR (2019)
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang
Understanding VAEs in Fisher-Shannon Plane. AAAI (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jiangchao Yao