Quanming Yao
Quanming Yao
Assistant Professor, EE Department, Tsinghua University
Verified email at tsinghua.edu.cn - Homepage
Cited by
Cited by
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
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Y Wang, Q Yao, J Kwok, LM Ni
ACM Computing Surveys, 2020
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
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
Loss-aware Binarization of Deep Networks
L Hou, Q Yao, JT Kwok
International Conference on Learning Representations, 2017
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
Non-local meets global: An integrated 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, 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
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
Efficient Neural Architecture Search via Proximal Iterations
Q Yao, J Xu, WW Tu, Z Zhu
AAAI Conference on Artificial Intelligence, 2020
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
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
Q Yao, JT Kwok
Journal of Machine Learning Research, 2017
Simple and automated negative sampling for knowledge graph embedding
Y Zhang, Q Yao, L Chen
The VLDB Journal 30 (2), 259-285, 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
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
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
Efficient sparse low-rank tensor completion using the Frank-Wolfe algorithm
X Guo, Q Yao, JT Kwok
AAAI Conference on Artificial Intelligence, 1948--1954, 2017
Scalable Online Convolutional Sparse Coding
Y Wang, Q Yao, JT Kwok, LM Ni
IEEE Transactions on Image Processing, 2018
Colorization by patch-based local low-rank matrix completion
Q Yao, JT Kwok
AAAI Conference on Artificial Intelligence, 1959-1965, 2015
Collaborative Filtering with Social Local Models
H Zhao, Q Yao, JT Kwok, DL Lee
International Conference on Data Mining, 2017
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