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Quanming Yao
Quanming Yao
Assistant Professor, EE Department, Tsinghua University
在 tsinghua.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
29222020
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
20592018
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
5932017
Automated Machine Learning: From Principles to Practices
Z Shen, Y Zhang, L Wei, H Zhao, Q Yao
arXiv preprint, 2018
556*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
276*2020
Loss-aware Binarization of Deep Networks
L Hou, Q Yao, JT Kwok
International Conference on Learning Representations, 2017
2432017
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
137*2020
NSCaching: simple and efficient negative sampling for knowledge graph embedding
Y Zhang, Q Yao, Y Shao, L Chen
2019 IEEE 35th International Conference on Data Engineering (ICDE), 614-625, 2019
1352019
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
115*2020
Efficient Neural Architecture Search via Proximal Iterations
Q Yao, J Xu, WW Tu, Z Zhu
AAAI Conference on Artificial Intelligence, 2020
1102020
Search to aggregate neighborhood for graph neural network
H Zhao, Q Yao, W Tu
International Conference on Data Engineering, 2021
103*2021
Bilinear Scoring Function Search for Knowledge Graph Learning
Y Zhang, Q Yao, J Kwok
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
95*2022
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
942019
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
932019
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
822020
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
792017
Knowledge Graph Reasoning with Relational Directed Graph
Y Zhang, Q Yao
The Web Conference, 2022
73*2022
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
Y Liu, Q Yao, Y Li
The Web Conference, 2020
722020
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
722019
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
712020
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