Seuraa
Quanming Yao
Quanming Yao
Assistant Professor, EE Department, Tsinghua University
Vahvistettu sähköpostiosoite verkkotunnuksessa tsinghua.edu.cn - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
25092020
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
17472018
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
561*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
514*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
237*2020
Loss-aware Binarization of Deep Networks
L Hou, Q Yao, JT Kwok
International Conference on Learning Representations, 2017
2332017
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
133*2019
Simple and automated negative sampling for knowledge graph embedding
Y Zhang, Q Yao, L Chen
The VLDB Journal 30 (2), 259-285, 2021
124*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
124*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
1112020
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
102*2020
Efficient Neural Architecture Search via Proximal Iterations
Q Yao, J Xu, WW Tu, Z Zhu
AAAI Conference on Artificial Intelligence, 2020
1012020
Search to aggregate neighborhood for graph neural network
H Zhao, Q Yao, W Tu
International Conference on Data Engineering, 2021
96*2021
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
872019
Bilinear Scoring Function Search for Knowledge Graph Learning
Y Zhang, Q Yao, J Kwok
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
77*2022
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
762017
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
682020
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
67*2019
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
632020
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
Y Liu, Q Yao, Y Li
The Web Conference, 2020
592020
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Artikkelit 1–20