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
Huan ZhaoSenior Researcher@4ParadigmVerified email at 4paradigm.com
Wei-Wei TuNanjing University, ChaLearnVerified email at lamda.nju.edu.cn
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
Yongqi Zhangresearch scientist@4ParadigmVerified email at cse.ust.hk
Miao XuUniversity of Queensland, RIKEN AIPVerified email at uq.edu.au
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
Lanning WeiInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Wei HeProfessor, Wuhan UniversityVerified email at whu.edu.cn
Yu-Feng LiNanjing UniversityVerified email at lamda.nju.edu.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	1959	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	1441	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	498*	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	420*	2018
Loss-aware Binarization of Deep Networks L Hou, Q Yao, JT Kwok International Conference on Learning Representations, 2017	218	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	178*	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	123*	2019
Simple and automated negative sampling for knowledge graph embedding Y Zhang, Q Yao, L Chen The VLDB Journal 30 (2), 259-285, 2021	109*	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	106*	2020
Efficient Neural Architecture Search via Proximal Iterations Q Yao, J Xu, WW Tu, Z Zhu AAAI Conference on Artificial Intelligence, 2020	90	2020
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	83	2020
Search to aggregate neighborhood for graph neural network H Zhao, Q Yao, W Tu International Conference on Data Engineering, 2021	80*	2021
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	80*	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	76*	2019
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	70	2017
Bilinear Scoring Function Search for Knowledge Graph Learning Y Zhang, Q Yao, J Kwok IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022	64*	2022
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	61*	2019
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases Y Liu, Q Yao, Y Li The Web Conference, 2020	51	2020
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	51	2020
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	50	2017

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