Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Joyce C. Ho; Li Xiong 001; Xiaoqian Jiang (CIKM, 2019)

Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Li Xiong 001; Xiaoqian Jiang (IEEE BigData, 2020)

Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. - Qiuchen Zhang; Jing Ma 005; Yonghui Xiao; Jian Lou 001; Li Xiong 001 (IEEE BigData, 2020)

Spatio-Temporal Tensor Sketching via Adaptive Sampling. - Jing Ma 005; Qiuchen Zhang; Joyce C. Ho; Li Xiong 001 (ECML/PKDD (1), 2020)

Temporal Network Embedding via Tensor Factorization. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Joyce C. Ho (CIKM, 2021)

Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Sivasubramanium Bhavani; Joyce C. Ho (ICDM, 2021)

Private Stochastic Non-convex Optimization with Improved Utility Rates. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Li Xiong 001 (IJCAI, 2021)

Federated Graph Classification over Non-IID Graphs. - Han Xie; Jing Ma 005; Li Xiong 001; Carl Yang 001 (NeurIPS, 2021)

Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Joyce C. Ho (WWW, 2021)

Towards Training Graph Neural Networks with Node-Level Differential Privacy. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Carl Yang 001; Li Xiong 001 (CoRR, 2022)

Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Li Xiong 001; Xiaoqian Jiang (CoRR, 2022)

DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. - Qiuchen Zhang; Hong-Kyu Lee; Jing Ma 005; Jian Lou 001; Carl Yang 001; Li Xiong 001 (WWW, 2024)