| Uncovering social network sybils in the wild Z Yang, C Wilson, X Wang, T Gao, BY Zhao, Y Dai ACM Transactions on Knowledge Discovery from Data (TKDD) 8 (1), 1-29, 2014 | 577 | 2014 |
| {NeuGraph}: Parallel deep neural network computation on large graphs L Ma, Z Yang, Y Miao, J Xue, M Wu, L Zhou, Y Dai 2019 USENIX Annual Technical Conference (USENIX ATC 19), 443-458, 2019 | 276 | 2019 |
| Rammer: Enabling holistic deep learning compiler optimizations with {rTasks} L Ma, Z Xie, Z Yang, J Xue, Y Miao, W Cui, W Hu, F Yang, L Zhang, ... 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020 | 138 | 2020 |
| Graph attention multi-layer perceptron W Zhang, Z Yin, Z Sheng, Y Li, W Ouyang, X Li, Y Tao, Z Yang, B Cui Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 117 | 2022 |
| CHARM: A cost-efficient multi-cloud data hosting scheme with high availability Q Zhang, S Li, Z Li, Y Xing, Z Yang, Y Dai IEEE Transactions on Cloud computing 3 (3), 372-386, 2015 | 116 | 2015 |
| Seernet: Predicting convolutional neural network feature-map sparsity through low-bit quantization S Cao, L Ma, W Xiao, C Zhang, Y Liu, L Zhang, L Nie, Z Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 90 | 2019 |
| Votetrust: Leveraging friend invitation graph to defend against social network sybils J Xue, Z Yang, X Yang, X Wang, L Chen, Y Dai 2013 Proceedings IEEE INFOCOM, 2400-2408, 2013 | 90 | 2013 |
| {HiveD}: Sharing a {GPU} cluster for deep learning with guarantees H Zhao, Z Han, Z Yang, Q Zhang, F Yang, L Zhou, M Yang, FCM Lau, ... 14th USENIX symposium on operating systems design and implementation (OSDI …, 2020 | 85 | 2020 |
| Garaph: Efficient {GPU-accelerated} graph processing on a single machine with balanced replication L Ma, Z Yang, H Chen, J Xue, Y Dai 2017 USENIX Annual Technical Conference (USENIX ATC 17), 195-207, 2017 | 83 | 2017 |
| Seraph: an efficient, low-cost system for concurrent graph processing J Xue, Z Yang, Z Qu, S Hou, Y Dai Proceedings of the 23rd international symposium on High-performance parallel …, 2014 | 78 | 2014 |
| 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 | 75 | 2021 |
| Understanding the gift-sending interaction on live-streaming video websites Z Zhu, Z Yang, Y Dai Social Computing and Social Media. Human Behavior: 9th International …, 2017 | 75 | 2017 |
| VoteTrust: Leveraging friend invitation graph to defend against social network sybils Z Yang, J Xue, X Yang, X Wang, Y Dai IEEE Transactions on dependable and secure computing 13 (4), 488-501, 2015 | 69 | 2015 |
| AmazingStore: available, low-cost online storage service using cloudlets. Z Yang, BY Zhao, Y Xing, S Ding, F Xiao, Y Dai IPTPS 10, 2-2, 2010 | 64 | 2010 |
| Node Dependent Local Smoothing for Scalable Graph Learning W Zhang, M Yang, Z Sheng, Y Li, W Ouyang, Y Tao, Z Yang Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 63 | 2021 |
| Heterogeneity-aware distributed machine learning training via partial reduce X Miao, X Nie, Y Shao, Z Yang, J Jiang, L Ma, B Cui Proceedings of the 2021 International Conference on Management of Data, 2262 …, 2021 | 54 | 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 Proceedings of the ACM Web Conference 2022, 1817-1828, 2022 | 52 | 2022 |
| HET: scaling out huge embedding model training via cache-enabled distributed framework X Miao, H Zhang, Y Shi, X Nie, Z Yang, Y Tao, B Cui arXiv preprint arXiv:2112.07221, 2021 | 50 | 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 arXiv preprint arXiv:2108.00219, 2021 | 47 | 2021 |
| PCGCN: Partition-centric processing for accelerating graph convolutional network C Tian, L Ma, Z Yang, Y Dai 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 47 | 2020 |
Yafei DaiProfessor of Peking UniversityVerified email at pku.edu.cn
