Jiangchao Yao

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Ya ZhangShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Bo HanHKBU / RIKENPatvirtintas el. paštas comp.hkbu.edu.hk
Yanfeng WangShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARPatvirtintas el. paštas cfar.a-star.edu.sg
Gang NiuSenior Research Scientist (tenured), RIKEN Center for Advanced Intelligence ProjectPatvirtintas el. paštas riken.jp
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoPatvirtintas el. paštas k.u-tokyo.ac.jp
Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AIPatvirtintas el. paštas sydney.edu.au
Jianing ZhuPh.D. student, HKBUPatvirtintas el. paštas comp.hkbu.edu.hk
Huangjie ZhengApple Machine Learning ResearchPatvirtintas el. paštas apple.com
Mingyuan ZhouAssociate Professor, University of Texas at AustinPatvirtintas el. paštas mccombs.utexas.edu
Zhanke ZhouHKBU / StanfordPatvirtintas el. paštas comp.hkbu.edu.hk
Xu Chen(陈旭)Alibaba GroupPatvirtintas el. paštas sjtu.edu.cn
Feng HongShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Ziqing FanShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Ruipeng ZhangShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Zhihan ZhouShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Quanming YaoAssistant Professor, EE Department, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Fei ZhangShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Weidi XieShanghai Jiao Tong University | VGG, University of OxfordPatvirtintas el. paštas robots.ox.ac.uk
Qiaoyu (Smach) TanAssistant Professor of Computer Science, New York University (Shanghai)Patvirtintas el. paštas nyu.edu

Stebėti

Jiangchao Yao

Shanghai Jiao Tong University

Patvirtintas el. paštas sjtu.edu.cn - Pagrindinis puslapis

Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	960	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	297	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	158	2021
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	150	2023
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	149	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	114	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	111	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	81	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	75	2022
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	63	2019
Collaborative learning for weakly supervised object detection J Wang, J Yao, Y Zhang, R Zhang IJCAI, 2018	57	2018
Device-Cloud Collaborative Learning for Recommendation J Yao, F Wang, KY Jia, B Han, J Zhou, H Yang KDD 2021, 2021	54	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	47	2023
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	38	2019
Contrastive Learning with Boosted Memorization Z Zhou, J Yao, Y Wang, B Han, Y Zhang International Conference on Machine Learning, 2022	37	2022
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	37	2021
Long-Tailed Partial Label Learning via Dynamic Rebalancing F Hong, J Yao, Z Zhou, Y Zhang, Y Wang International Conference on Learning Representation, 2023	34	2023
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	29	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	26	2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation J Zhu, G Yu, J Yao, T Liu, G Niu, M Sugiyama, B Han Thirty-seventh Conference on Neural Information Processing Systems, 2023	25	2023

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