关注
Bingzhe Wu
Bingzhe Wu
Tencent AI Lab
在 pku.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1662023
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
1292020
Drugood: Out-of-distribution 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, L Li, LK Huang, T Xu, Y Rong, J Ren, D Xue, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8023-8031, 2023
1172023
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
1062020
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
912023
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
792021
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
792020
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
782021
SRPGAN: perceptual generative adversarial network for single image super resolution
B Wu, H Duan, Z Liu, G Sun
arXiv preprint arXiv:1712.05927, 2017
782017
Llm inference unveiled: Survey and roofline model insights
Z Yuan, Y Shang, Y Zhou, Z Dong, Z Zhou, C Xue, B Wu, Z Li, Q Gu, ...
arXiv preprint arXiv:2402.16363, 2024
712024
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, 43136-43155, 2023
712023
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
662022
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
562019
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
542019
Trustworthy graph learning: Reliability, explainability, and privacy protection
B Wu, Y Bian, H Zhang, J Li, J Yu, L Chen, C Chen, J Huang
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
502022
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference
P Xie, B Wu, G Sun
IJCAI 2019, 2019
502019
Secure social recommendation based on secret sharing
C Chen, L Li, B Wu, C Hong, L Wang, J Zhou
ECAI 2020, 506-512, 2020
482020
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
472020
Beyond factuality: A comprehensive evaluation of large language models as knowledge generators
L Chen, Y Deng, Y Bian, Z Qin, B Wu, TS Chua, KF Wong
arXiv preprint arXiv:2310.07289, 2023
452023
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
452022
系统目前无法执行此操作,请稍后再试。
文章 1–20