Bingzhe Wu
Bingzhe Wu
Tencent AI Lab
Verified email at - Homepage
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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
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
SRPGAN: perceptual generative adversarial network for single image super resolution
B Wu, H Duan, Z Liu, G Sun
arXiv preprint arXiv:1712.05927, 2017
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
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
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
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
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
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
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
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference
P Xie, B Wu, G Sun
IJCAI 2019, 2019
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
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
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
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
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
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
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
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
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
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