| Graph neural networks in recommender systems: a survey S Wu, F Sun, W Zhang, X Xie, B Cui ACM Computing Surveys (CSUR), 2020 | 88 | 2020 |
| 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 | 21 | 2020 |
| 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 | 18 | 2021 |
| 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 | 16 | 2020 |
| 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 | 12* | 2021 |
| 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 | 9 | 2021 |
| 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 | 8 | 2020 |
| Graph attention multi-layer perceptron W Zhang, Z Yin, Z Sheng, W Ouyang, X Li, Y Tao, Z Yang, B Cui arXiv preprint arXiv:2108.10097, 2021 | 7 | 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 | 7 | 2021 |
| 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 | 6 | 2021 |
| 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 | 5 | 2021 |
| 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 | 4 | 2021 |
| 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 | 3 | 2021 |
| 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 | 3 | 2021 |
| 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 | 3 | 2021 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| 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 | | 2022 |
| Information Gain Propagation: a new way to Graph Active Learning with Soft Labels W Zhang, Y Wang, Z You, M Cao, P Huang, J Shan, Z Yang, B Cui ICLR 2022, 2022 | | 2022 |
| 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 | | 2022 |
Bin CUIProfessor of Computer Science, Peking UniversityVerified email at pku.edu.cn
