| 2026 | ICDE | Accurate Table Question Answering with Accessible LLMs. | Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao |
| 2026 | WWW | SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent. | Jianxin Wei, Ergute Bao, Xiaokui Xiao, Ting Yu |
| 2026 | SP | Auditing Apple's DifferentialPrivacy.framework: Implementation Bugs, Misconfigurations, and Practical Risks. | Rishav Chourasia, Ergute Bao, Uzair Javaid, Xiaokui Xiao |
| 2025 | ICDE | Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy. | Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du |
| 2025 | ICDE | GCON: Differentially Private Graph Convolutional Network via Objective Perturbation. | Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi |
| 2023 | KDD | Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. | Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li |
| 2022 | CCS | DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. | Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang |