| A survey of adversarial learning on graphs L Chen, J Li, J Peng, T Xie, Z Cao, K Xu, X He, BW Zheng, Zibin arXiv preprint arXiv:2003.05730, 2020 | 91 | 2020 |
| SRPGAN: perceptual generative adversarial network for single image super resolution B Wu, H Duan, Z Liu, G Sun arXiv preprint arXiv:1712.05927, 2017 | 77 | 2017 |
| Vertically federated graph neural network for privacy-preserving node classification C Chen, J Zhou, L Zheng, H Wu, L Lyu, J Wu, B Wu, Z Liu, L Wang, ... arXiv preprint arXiv:2005.11903, 2020 | 76 | 2020 |
| Practical privacy preserving POI recommendation C Chen, J Zhou, B Wu, W Fang, L Wang, Y Qi, X Zheng ACM Transactions on Intelligent Systems and Technology (TIST) 11 (5), 1-20, 2020 | 60 | 2020 |
| ASFGNN: Automated separated-federated graph neural network L Zheng, J Zhou, C Chen, B Wu, L Wang, B Zhang Peer-to-Peer Networking and Applications 14 (3), 1692-1704, 2021 | 59 | 2021 |
| DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery--A Focus on Affinity Prediction Problems with Noise Annotations Y Ji, L Zhang, J Wu, B Wu, LK Huang, T Xu, Y Rong, L Li, J Ren, D Xue, ... arXiv preprint arXiv:2201.09637, 2022 | 47 | 2022 |
| Generalization in generative adversarial networks: A novel perspective from privacy protection B Wu, S Zhao, C Chen, H Xu, L Wang, X Zhang, G Sun, J Zhou Advances in Neural Information Processing Systems 32, 2019 | 47 | 2019 |
| BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference P Xie, B Wu, G Sun IJCAI 2019, 2019 | 46 | 2019 |
| P3sgd: Patient privacy preserving sgd for regularizing deep cnns in pathological image classification B Wu, S Zhao, G Sun, X Zhang, Z Su, C Zeng, Z Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 44 | 2019 |
| Privacy-preserving graph neural network for node classification J Zhou, C Chen, L Zheng, X Zheng, B Wu, Z Liu, L Wang arXiv preprint arXiv:2005.11903, 2020 | 38 | 2020 |
| Secure social recommendation based on secret sharing C Chen, L Li, B Wu, C Hong, L Wang, J Zhou arXiv preprint arXiv:2002.02088, 2020 | 36 | 2020 |
| Hasco: Towards agile hardware and software co-design for tensor computation Q Xiao, S Zheng, B Wu, P Xu, X Qian, Y Liang 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 33 | 2021 |
| Reducing overfitting in deep convolutional neural networks using redundancy regularizer B Wu, Z Liu, Z Yuan, G Sun, C Wu Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 30 | 2017 |
| S2DNAS: Transforming static CNN model for dynamic inference via neural architecture search Z Yuan, B Wu, G Sun, Z Liang, S Zhao, W Bi Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 25 | 2020 |
| Post-training quantization on diffusion models Y Shang, Z Yuan, B Xie, B Wu, Y Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Industrial scale privacy preserving deep neural network L Zheng, C Chen, Y Liu, B Wu, X Wu, L Wang, L Wang, J Zhou, S Yang arXiv preprint arXiv:2003.05198, 2020 | 20 | 2020 |
| Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics B Wu, C Chen, S Zhao, C Chen, Y Yao, G Sun, L Wang, X Zhang, J Zhou AAAI 2020, 2019 | 19 | 2019 |
| NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators Z Yuan, J Liu, X Li, L Yan, H Chen, B Wu, Y Yang, G Sun Science China Information Sciences 64 (6), 160407, 2021 | 16 | 2021 |
| A comprehensive analysis of information leakage in deep transfer learning C Chen, B Wu, M Qiu, L Wang, J Zhou arXiv preprint arXiv:2009.01989, 2020 | 16 | 2020 |
| A survey of trustworthy graph learning: Reliability, explainability, and privacy protection B Wu, J Li, J Yu, Y Bian, H Zhang, CH Chen, C Hou, G Fu, L Chen, T Xu, ... arXiv preprint arXiv:2205.10014, 2022 | 15 | 2022 |
Guangyu SunSchool of Integrated Circuits, Peking UniversityVerified email at pku.edu.cn
