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2020 – today
- 2024
[c6]Qiankun Zhang
, Di Yuan, Boyu Zhang, Bin Yuan, Bingqian Du:
Membership Inference Attacks against Vision Transformers: Mosaic MixUp Training to the Defense. CCS 2024: 1256-1270- [c5]Qiankun Zhang, Aocheng Shen, Boyu Zhang, Hanrui Jiang, Bingqian Du:
Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning. ICML 2024 - [c4]Bingqian Du, Jun Liu, Ziyue Luo, Chuan Wu, Qiankun Zhang, Hai Jin:
Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. INFOCOM 2024: 1321-1330 - 2022
- [j2]Le Fang, Bingqian Du, Chuan Wu:
Differentially private recommender system with variational autoencoders. Knowl. Based Syst. 250: 109044 (2022) - [c3]Bingqian Du, Chuan Wu:
Federated Graph Learning with Periodic Neighbour Sampling. IWQoS 2022: 1-10 - 2021
- [j1]Bingqian Du, Zhiyi Huang, Chuan Wu:
Adversarial Deep Learning for Online Resource Allocation. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6(4): 13:1-13:25 (2021) - [c2]Hantao Xu, Lianhuan Han, Bingqian Du, Yang Wang, Zhen Ma, Zhong-Qun Tian, Zhao-Wu Tian, Dongping Zhan:
Electrochemical Nanoimprint Lithography. NEMS 2021: 1337-1340 - [i1]Bingqian Du, Zhiyi Huang, Chuan Wu:
Adversarial Deep Learning for Online Resource Allocation. CoRR abs/2111.10285 (2021)
2010 – 2019
- 2019
- [c1]Bingqian Du, Chuan Wu, Zhiyi Huang:
Learning Resource Allocation and Pricing for Cloud Profit Maximization. AAAI 2019: 7570-7577
Coauthor Index
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