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 WangBeijing Institute of Mathematical Sciences and ApplicationsVerified email at bimsa.cn
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Huan ZhaoSenior Researcher@4ParadigmVerified email at 4paradigm.com
Yongqi ZhangAssistant Professor in HKUST(GZ)Verified email at hkust-gz.edu.cn
Wei-Wei TuNanjing University, ChaLearnVerified email at lamda.nju.edu.cn
Lionel NiChair Professor of Data Science and Analytics, HKUST(Guangzhou)Verified email at ust.hk
Gang NiuSenior Research Scientist, RIKEN Center for Advanced Intelligence ProjectVerified email at riken.jp
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
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 cfar.a-star.edu.sg
Yong LiProfessor, Electronic Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
Miao XuUniversity of Queensland, RIKEN AIPVerified email at uq.edu.au
Lei ChenHong Kong University of Science and TechnologyVerified email at cse.ust.hk
Lanning WeiInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Weihua HuStanfordVerified email at stanford.edu
Hansi YangHong Kong University of Science and TechnologyVerified email at connect.ust.hk
Yangqiu SongHKUSTVerified email at cse.ust.hk
Wei HeProfessor, Wuhan UniversityVerified email at whu.edu.cn
Zhanke ZhouPh.D. student, HKBUVerified email at comp.hkbu.edu.hk

Quanming Yao

Assistant Professor, EE Department, Tsinghua University

Verified email at tsinghua.edu.cn - Homepage

Machine 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, JT Kwok, LM Ni ACM Computing Surveys 53 (3), 1-34, 2020	3666	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	2461	2018
Meta-graph based recommendation fusion over heterogeneous information networks H Zhao, Q Yao, J Li, Y Song, DL Lee ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2017	638	2017
Automated Machine Learning: From Principles to Practices Z Shen, Y Zhang, L Wei, H Zhao, Q Yao arXiv preprint, 2018	628*	2018
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	354*	2020
Loss-aware Binarization of Deep Networks L Hou, Q Yao, JT Kwok International Conference on Learning Representations, 2017	263	2017
Simple and automated negative sampling for knowledge graph embedding Y Zhang, Q Yao, L Chen The VLDB Journal 30 (2), 259-285, 2021	162*	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	158*	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	146*	2019
Searching to Exploit Memorization Effect in Learning from Corrupted Labels Q Yao, H Yang, B Han, G Niu, J Kwok IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024	145*	2024
Knowledge Graph Reasoning with Relational Directed Graph Y Zhang, Q Yao The Web Conference, 2022	132*	2022
Search to aggregate neighborhood for graph neural network H Zhao, Q Yao, W Tu International Conference on Data Engineering, 2021	132*	2021
Efficient Neural Architecture Search via Proximal Iterations Q Yao, J Xu, WW Tu, Z Zhu AAAI Conference on Artificial Intelligence, 2020	119	2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering J Ding, Y Quan, Q Yao, Y Li, D Jin Annual Conference on Neural Information Processing Systems, 2020	116	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	107	2019
Bilinear Scoring Function Search for Knowledge Graph Learning Y Zhang, Q Yao, J Kwok IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023	106*	2023
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	95	2020
Neural architecture search for GNN-based graph classification L Wei, H Zhao, Z He, Q Yao ACM Transactions on Information Systems 42 (1), 1-29, 2023	88*	2023
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases Y Liu, Q Yao, Y Li The Web Conference, 2020	85	2020
DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks Y Ding, Q Yao, H Zhao, T Zhang ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021	81*	2021

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