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 | 99 | 2020 |
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 | 96 | 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 | 78 | 2017 |
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 | 70 | 2022 |
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 | 68 | 2021 |
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 | 68 | 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 | 62 | 2023 |
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 | 59 | 2021 |
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 | 53 | 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 | 52 | 2019 |
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference P Xie, B Wu, G Sun IJCAI 2019, 2019 | 48 | 2019 |
Pareto invariant risk minimization: Towards mitigating the optimization dilemma in out-of-distribution generalization Y Chen, K Zhou, Y Bian, B Xie, B Wu, Y Zhang, K Ma, H Yang, P Zhao, ... arXiv preprint arXiv:2206.07766, 2022 | 47 | 2022 |
Rptq: Reorder-based post-training quantization for large language models Z Yuan, L Niu, J Liu, W Liu, X Wang, Y Shang, G Sun, Q Wu, J Wu, B Wu arXiv preprint arXiv:2304.01089, 2023 | 41 | 2023 |
Secure social recommendation based on secret sharing C Chen, L Li, B Wu, C Hong, L Wang, J Zhou ECAI 2020, 506-512, 2020 | 41 | 2020 |
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 |
Fairness-guided few-shot prompting for large language models H Ma, C Zhang, Y Bian, L Liu, Z Zhang, P Zhao, S Zhang, H Fu, Q Hu, ... Advances in Neural Information Processing Systems 36, 2024 | 32 | 2024 |
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 | 32 | 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 | 31 | 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 | 28 | 2022 |
Umix: Improving importance weighting for subpopulation shift via uncertainty-aware mixup Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian, P Zhao, B Wu, C Zhang, J Yao Advances in Neural Information Processing Systems 35, 37704-37718, 2022 | 27 | 2022 |