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Wentao Zhang (张文涛)
Wentao Zhang (张文涛)
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Graph neural networks in recommender systems: a survey
S Wu, F Sun, W Zhang, X Xie, B Cui
ACM Computing Surveys (CSUR), 2020
1002020
OpenBox: A Generalized Black-box Optimization Service
Y Li, Y Shen, W Zhang, Y Chen, H Jiang, M Liu, J Jiang, J Gao, W Wu, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
252021
Snapshot boosting: a fast ensemble framework for deep neural networks
W Zhang, J Jiang, Y Shao, B Cui
Science China Information Sciences 63 (1), 1-12, 2020
252020
Reliable data distillation on graph convolutional network
W Zhang, X Miao, Y Shao, J Jiang, L Chen, O Ruas, B Cui
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
202020
DeGNN: Improving Graph Neural Networks with Graph Decomposition
X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, SX Rao, H Ren, Y Shan, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
15*2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Y Li, Y Shen, W Zhang, J Jiang, B Ding, Y Li, J Zhou, Z Yang, W Wu, ...
Proceedings of the VLDB Endowment, 2021
122021
Graph attention multi-layer perceptron
W Zhang, Z Yin, Z Sheng, Y Li, W Ouyang, X Li, Y Tao, Z Yang, B Cui
arXiv preprint arXiv:2206.04355, 2022
102022
Evaluating deep graph neural networks
W Zhang, Z Sheng, Y Jiang, Y Xia, J Gao, Z Yang, B Cui
arXiv preprint arXiv:2108.00955, 2021
92021
ROD: reception-aware online distillation for sparse graphs
W Zhang, Y Jiang, Y Li, Z Sheng, Y Shen, X Miao, L Wang, Z Yang, B Cui
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
82021
Lasagne: A multi-layer graph convolutional network framework via node-aware deep architecture
X Miao, W Zhang, Y Shao, B Cui, L Chen, C Zhang, J Jiang
IEEE Transactions on Knowledge and Data Engineering, 2021
82021
Efficient diversity-driven ensemble for deep neural networks
W Zhang, J Jiang, Y Shao, B Cui
2020 IEEE 36th International Conference on Data Engineering (ICDE), 73-84, 2020
72020
Node Dependent Local Smoothing for Scalable Graph Learning
W Zhang, M Yang, Z Sheng, Y Li, W Ouyang, Y Tao, Z Yang, B Cui
Advances in Neural Information Processing Systems 35, Spotlight, 2021
52021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization
W Zhang, Z Yang, Y Wang, Y Shen, Y Li, L Wang, B Cui
Proceedings of the VLDB Endowment, 2021
42021
Gmlp: Building scalable and flexible graph neural networks with feature-message passing
W Zhang, Y Shen, Z Lin, Y Li, X Li, W Ouyang, Y Tao, Z Yang, B Cui
arXiv preprint arXiv:2104.09880, 2021
42021
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm
W Zhang, Y Shen, Z Lin, Y Li, X Li, W Ouyang, Y Tao, Z Yang, B Cui
WWW 2022, Best Student Paper Award, 2022
32022
ALG: fast and accurate active learning framework for graph convolutional networks
W Zhang, Y Shen, Y Li, L Chen, Z Yang, B Cui
Proceedings of the 2021 International Conference on Management of Data, 2366 …, 2021
32021
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest
Y Jiang, Y Cheng, H Zhao, W Zhang, X Miao, Y He, L Wang, Z Yang, ...
arXiv preprint arXiv:2203.12596, 2022
22022
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale
Y Li, Y Shen, H Jiang, W Zhang, J Li, J Liu, C Zhang, B Cui
Proceedings of the VLDB Endowment, 2022
22022
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
Y Shen, Y Li, J Zheng, W Zhang, P Yao, J Li, S Yang, J Liu, C Bin
arXiv preprint arXiv:2110.10423, 2021
22021
Model Degradation Hinders Deep Graph Neural Networks
W Zhang, Z Sheng, Z Yin, Y Jiang, Y Xia, J Gao, Z Yang, B Cui
arXiv preprint arXiv:2206.04361, 2022
2022
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