| 2025 | IJCAI | Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. | Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong |
| 2024 | WWW | DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. | Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong |
| 2021 | CIKM | Temporal Network Embedding via Tensor Factorization. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho |
| 2021 | ICDE | Eclipse: Generalizing kNN and Skyline. | Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo |
| 2021 | ICDM | Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho |
| 2021 | IJCAI | Private Stochastic Non-convex Optimization with Improved Utility Rates. | Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong |
| 2021 | WWW | Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho |
| 2019 | CIKM | Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. | Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang |