Jiangchao Yao

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Ya ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARVerified email at cfar.a-star.edu.sg
Gang NiuSenior Research Scientist, RIKEN Center for Advanced Intelligence ProjectVerified email at riken.jp
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AIVerified email at sydney.edu.au
Huangjie ZhengApple Machine Learning ResearchVerified email at apple.com
Jianing ZhuPh.D. student, HKBUVerified email at comp.hkbu.edu.hk
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Zhanke ZhouPh.D. student, HKBUVerified email at comp.hkbu.edu.hk
Yanfeng WangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Xu Chen(陈旭)Alibaba GroupVerified email at sjtu.edu.cn
Feng HongShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Ruipeng ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Ziqing FanShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Zhihan ZhouShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Quanming YaoAssistant Professor, EE Department, Tsinghua UniversityVerified email at tsinghua.edu.cn
Weidi XieShanghai Jiao Tong University | VGG, University of OxfordVerified email at robots.ox.ac.uk
Qiaoyu (Smach) TanAssistant Professor of Computer Science, New York University (Shanghai)Verified email at nyu.edu
Siheng ChenShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn

Jiangchao Yao

Shanghai Jiao Tong University

Verified email at sjtu.edu.cn - Homepage

Robust Machine Learning


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How does disagreement help generalization against label corruption? X Yu, B Han, J Yao, G Niu, IW Tsang, M Sugiyama International Conference on Machine Learning, 2019	908	2019
Masking: A new perspective of noisy supervision B Han, J Yao, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama Advances in Neural Information Processing Systems, 5836-5846, 2018	286	2018
Sparse-interest network for sequential recommendation Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu Proceedings of the 14th ACM international conference on web search and data …, 2021	147	2021
Deep learning from noisy image labels with quality embedding J Yao, J Wang, IW Tsang, Y Zhang, J Sun, C Zhang, R Zhang IEEE Transactions on Image Processing 28 (4), 1909-1922, 2018	146	2018
Learning on Attribute-Missing Graphs X Chen, S Chen, J Yao, H Zheng, Y Zhang, IW Tsang IEEE transactions on pattern analysis and machine intelligence, 2020	102	2020
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI J Yao, S Zhang, Y Yao, F Wang, J Ma, J Zhang, Y Chu, L Ji, K Jia, T Shen, ... IEEE Transactions on Knowledge and Data Engineering, 2022	99	2022
DeepInception: Hypnotize large language model to be jailbreaker X Li, Z Zhou, J Zhu, J Yao, T Liu, B Han arXiv preprint arXiv:2311.03191, 2023	90	2023
Reliable Adversarial Distillation with Unreliable Teachers J Zhu, J Yao, B Han, J Zhang, T Liu, G Niu, J Zhou, J Xu, H Yang International Conference on Learning Representation, 2022	74	2022
Federated domain generalization with generalization adjustment R Zhang, Q Xu, J Yao, Y Zhang, Q Tian, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	65	2023
Safeguarded dynamic label regression for noisy supervision J Yao, H Wu, Y Zhang, IW Tsang, J Sun Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9103-9110, 2019	60	2019
Collaborative learning for weakly supervised object detection J Wang, J Yao, Y Zhang, R Zhang IJCAI, 2018	55	2018
Device-Cloud Collaborative Learning for Recommendation J Yao, F Wang, KY Jia, B Han, J Zhou, H Yang KDD 2021, 2021	49	2021
Class-Balancing Diffusion Models Y Qin, H Zheng, J Yao, M Zhou, Y Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	37	2023
Contrastive Learning with Boosted Memorization Z Zhou, J Yao, Y Wang, B Han, Y Zhang International Conference on Machine Learning, 2022	37	2022
Bayes embedding (bem) refining representation by integrating knowledge graphs and behavior-specific networks Y Ye, X Wang, J Yao, K Jia, J Zhou, Y Xiao, H Yang Proceedings of the 28th ACM international conference on information and …, 2019	34	2019
Long-Tailed Partial Label Learning via Dynamic Rebalancing F Hong, J Yao, Z Zhou, Y Zhang, Y Wang International Conference on Learning Representation, 2023	31	2023
CogKR: cognitive graph for multi-hop knowledge reasoning Z Du, C Zhou, J Yao, T Tu, L Cheng, H Yang, J Zhou, J Tang IEEE Transactions on Knowledge and Data Engineering, 2021	30	2021
Joint latent dirichlet allocation for social tags J Yao, Y Wang, Y Zhang, J Sun, J Zhou IEEE Transactions on Multimedia 20 (1), 224-237, 2017	28	2017
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation F Zhang, T Zhou, B Li, H He, C Ma, T Zhang, J Yao, Y Zhang, Y Wang Thirty-seventh Conference on Neural Information Processing Systems, 2023	23	2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Z Zhou, C Zhou, X Li, J Yao, Q Yao, B Han International Conference on Machine Learning, 2023	19	2023

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