| Graph neural networks in recommender systems: a survey S Wu, F Sun, W Zhang, X Xie, B Cui ACM Computing Surveys 55 (5), 1-37, 2022 | 338 | 2022 |
| Diffusion models: A comprehensive survey of methods and applications L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao, Y Shao, W Zhang, B Cui, ... arXiv preprint arXiv:2209.00796, 2022 | 118 | 2022 |
| Reliable data distillation on graph convolutional network W Zhang, X Miao, Y Shao, J Jiang, L Chen, O Ruas, B Cui ACM SIGMOD 2020, 1399-1414, 2020 | 45 | 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, ... ACM SIGKDD 2021, 2021 | 43 | 2021 |
| Graph attention multi-layer perceptron W Zhang, Z Yin, Z Sheng, Y Li, W Ouyang, X Li, Y Tao, Z Yang, B Cui ACM SIGKDD 2022, 2022 | 42* | 2022 |
| Snapshot boosting: a fast ensemble framework for deep neural networks W Zhang, J Jiang, Y Shao, B Cui Science China Information Sciences 63, 1-12, 2020 | 42 | 2020 |
| Model Degradation Hinders Deep Graph Neural Networks W Zhang, Z Sheng, Z Yin, Y Jiang, Y Xia, J Gao, Z Yang, B Cui ACM SIGKDD 2022, 2022 | 28* | 2022 |
| DeGNN: Improving Graph Neural Networks with Graph Decomposition X Miao*, NM Gürel*, W Zhang*, Z Han, B Li, W Min, SX Rao, H Ren, ... ACM SIGKDD 2021, 1223-1233, 2021 | 27* | 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, ... VLDB 2021, 2021 | 25 | 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 NeurIPS 2021, Spotlight Paper (Acceptance Rate < 3%), 2021 | 19 | 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 ACM SIGKDD 2021, 2232-2242, 2021 | 17 | 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, 2021 | 17 | 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 | 15 | 2022 |
| 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 VLDB 2021, 2021 | 15 | 2021 |
| Efficient diversity-driven ensemble for deep neural networks W Zhang, J Jiang, Y Shao, B Cui ICDE 2020, 73-84, 2020 | 12 | 2020 |
| 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, B Cui AAAI 2023, 2021 | 8 | 2021 |
| Alg: Fast and accurate active learning framework for graph convolutional networks W Zhang, Y Shen, Y Li, L Chen, Z Yang, B Cui ACM SIGMOD 2021, 2366-2374, 2021 | 8 | 2021 |
| 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 VLDB 2022, 2022 | 7 | 2022 |
| 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, ... ICDE 2022, 2022 | 6 | 2022 |
| Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training L Yang, Z Huang, Y Song, S Hong, G Li, W Zhang, B Cui, B Ghanem, ... arXiv preprint arXiv:2211.11138, 2022 | 5 | 2022 |
Bin CUIProfessor of Computer Science, Peking UniversityVerified email at pku.edu.cn
