Quanming Yao

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James T. KwokProfessor of Computer Science and Engineering, Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
Yaqing WangBaidu Research, Baidu Inc.Verified email at baidu.com
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Wei-Wei Tu4Paradigm Inc., ChaLearnVerified email at lamda.nju.edu.cn
Huan ZhaoSenior Researcher@4ParadigmVerified email at 4paradigm.com
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARVerified email at ihpc.a-star.edu.sg
Lionel NiChair Professor of Data Science and Analytics, HKUST(Guangzhou)Verified email at ust.hk
Qiang Yang (杨强）Chief AI Officer@WeBank, Chair Prof.@HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
Miao XuUniversity of Queensland, RIKEN AIPVerified email at uq.edu.au
Yongqi Zhangresearch scientist@4ParadigmVerified email at cse.ust.hk
Yong LiAssociate Professor, Electronic Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
Lei ChenHong Kong University of Science and TechnologyVerified email at cse.ust.hk
Weihua HuKumo.aiVerified email at kumo.ai
Yangqiu SongHKUSTVerified email at cse.ust.hk
Wei HeProfessor, Wuhan UniversityVerified email at whu.edu.cn
Yu-Feng LiNanjing UniversityVerified email at lamda.nju.edu.cn
Lanning WeiInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Hansi YangHong Kong University of Science and TechnologyVerified email at connect.ust.hk

Quanming Yao

Assistant Professor, EE Department, Tsinghua University

Verified email at tsinghua.edu.cn - Homepage

Machine Learning AutoML Meta-learning Few-shot Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generalizing from a Few Examples: A Survey on Few-Shot Learning Y Wang, Q Yao, J Kwok, LM Ni ACM Computing Surveys 53 (4), 1-34, 2020	1620*	2020
Co-teaching: Robust Training Deep Neural Networks with Extremely Noisy Labels B Han, Q Yao, X Yu, G Niu, M Xu, W Hu, I Tsang, M Sugiyama Advance in Neural Information Processing Systems, 2018	1277	2018
Side Information Fusion for Recommender Systems over Heterogeneous Information Network H Zhao, Q Yao, Y Song, J Kwok, D Lee ACM Transactions on Knowledge Discovery from Data, 2021	453*	2021
Taking Human out of Learning Applications: A Survey on Automated Machine Learning Q Yao, M Wang, YF Li, WW Tu, Q Yang, Y Yu arXiv preprint, 2018	377*	2018
Loss-aware Binarization of Deep Networks L Hou, Q Yao, JT Kwok International Conference on Learning Representations, 2017	205	2017
Non-local meets global: An iterative paradigm for hyperspectral image restoration W He, Q Yao, C Li, N Yokoya, Q Zhao, H Zhang, L Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2089-2107, 2020	150*	2020
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers Q Yao, JT Kwok, T Wang, TY Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019	117*	2019
Simple and automated negative sampling for knowledge graph embedding Y Zhang, Q Yao, L Chen The VLDB Journal 30 (2), 259-285, 2021	99*	2021
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust B Han, G Niu, X Yu, Q Yao, M Xu, I Tsang, M Sugiyama International Conference on Machine Learning, 2020	93*	2020
Efficient Neural Architecture Search via Proximal Iterations Q Yao, J Xu, WW Tu, Z Zhu AAAI Conference on Artificial Intelligence, 2020	82	2020
Searching to Exploit Memorization Effect in Learning from Corrupted Labels Q Yao, H Yang, B Han, G Niu, J Kwok International Conference on Machine Learning, 2020	70*	2020
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications Y Luo, M Wang, H Zhou, Q Yao, WW Tu, Y Chen, Q Yang, W Dai ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2019	69*	2019
A survey of label-noise representation learning: Past, present and future B Han, Q Yao, T Liu, G Niu, IW Tsang, JT Kwok, M Sugiyama arXiv preprint arXiv:2011.04406, 2020	67	2020
Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems Q Yao, JT Kwok, F Gao, W Chen, T Liu International Joint Conference on Artificial Intelligence, 2017	65	2017
Search to aggregate neighborhood for graph neural network H Zhao, Q Yao, W Tu International Conference on Data Engineering, 2021	58*	2021
Accelerated and Inexact Soft-Impute for Large-scale Matrix and Tensor Completion Q Yao, JT Kwok IEEE Transactions on Knowledge and Data Engineering 31 (9), 1665-1679, 2019	58*	2019
Bilinear Scoring Function Search for Knowledge Graph Learning Y Zhang, Q Yao, J Kwok IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022	49*	2022
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity Q Yao, JT Kwok Journal of Machine Learning Research, 2017	46	2017
VISTopic: A Visual Analytics System for Making Sense of Large Document Collections Using Hierarchical Topic modeling Y Yang, Q Yao, H Qu Visual Informatics 1 (1), 40-47, 2017	45*	2017
Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network H Shi, Q Yao, Q Guo, Y Li, L Zhang, J Ye, Y Li, Y Liu IEEE International Conference on Data Engineering, 2020	42	2020

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