Learning Resource Allocation and Pricing for Cloud Profit Maximization. - Bingqian Du; Chuan Wu 001; Zhiyi Huang 002 (AAAI, 2019)

Electrochemical Nanoimprint Lithography. - Hantao Xu; Lianhuan Han; Bingqian Du; Yang Wang; Zhen Ma; Zhong-Qun Tian; Zhao-Wu Tian; Dongping Zhan (NEMS, 2021)

Adversarial Deep Learning for Online Resource Allocation. - Bingqian Du; Zhiyi Huang 002; Chuan Wu 001 (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021)

Federated Graph Learning with Periodic Neighbour Sampling. - Bingqian Du; Chuan Wu 001 (IWQoS, 2022)

Differentially private recommender system with variational autoencoders. - Le Fang; Bingqian Du; Chuan Wu 001 (Knowl. Based Syst., 2022)

Membership Inference Attacks against Vision Transformers: Mosaic MixUp Training to the Defense. - Qiankun Zhang; Di Yuan; Boyu Zhang; Bin Yuan; Bingqian Du (CCS, 2024)

Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning. - Qiankun Zhang; Aocheng Shen; Boyu Zhang; Hanrui Jiang; Bingqian Du (ICML, 2024)

Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. - Bingqian Du; Jun Liu 002; Ziyue Luo; Chuan Wu 001; Qiankun Zhang; Hai Jin 001 (INFOCOM, 2024)

PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization. - Jun Liu 002; Bingqian Du; Ziyue Luo; Sitian Lu; Qiankun Zhang; Hai Jin 001 (Proc. VLDB Endow., 2025)

Mitigating Unfairness in Differentially-Private Federated Learning. - Bingqian Du; Liyao Xiang; Chuan Wu 001 (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2025)