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Quanming Yao
Quanming Yao
Assistant Professor, EE Department, Tsinghua University
Bestätigte E-Mail-Adresse bei tsinghua.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
38482020
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
25702018
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
6522017
Automated Machine Learning: From Principles to Practices
Z Shen, Y Zhang, L Wei, H Zhao, Q Yao
arXiv preprint, 2018
649*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
369*2020
Loss-aware Binarization of Deep Networks
L Hou, Q Yao, JT Kwok
International Conference on Learning Representations, 2017
2652017
Simple and automated negative sampling for knowledge graph embedding
Y Zhang, Q Yao, L Chen
The VLDB Journal 30 (2), 259-285, 2021
171*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
162*2020
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
151*2024
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
149*2019
Knowledge Graph Reasoning with Relational Directed Graph
Y Zhang, Q Yao
The Web Conference, 2022
143*2022
Search to aggregate neighborhood for graph neural network
H Zhao, Q Yao, W Tu
International Conference on Data Engineering, 2021
139*2021
Efficient Neural Architecture Search via Proximal Iterations
Q Yao, J Xu, WW Tu, Z Zhu
AAAI Conference on Artificial Intelligence, 2020
1242020
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
1192020
Bilinear Scoring Function Search for Knowledge Graph Learning
Y Zhang, Q Yao, J Kwok
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
117*2023
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
1142019
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
982020
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
Y Liu, Q Yao, Y Li
The Web Conference, 2020
912020
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
90*2023
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
87*2021
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