Eclipse: Practicability Beyond 1NN and Skyline. - Jinfei Liu; Li Xiong 001; Qiuchen Zhang; Jun Luo 007 (CoRR, 2017)

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)

Linear Programming Model for Single-line Passenger Flow Control during Subway Peak Hours. - Qiuchen Zhang; Qin Luo; Wei Li 122; Xiongfei Zhang (ICITE, 2020)

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

Generating sequential electronic health records using dual adversarial autoencoder. - Dongha Lee 003; Hwanjo Yu; Xiaoqian Jiang; Deevakar Rogith; Meghana Gudala; Mubeen Tejani; Qiuchen Zhang; Li Xiong 001 (J. Am. Medical Informatics Assoc., 2020)

Predict or draw blood: An integrated method to reduce lab tests. - Lishan Yu; Qiuchen Zhang; Elmer V. Bernstam; Xiaoqian Jiang (J. Biomed. Informatics, 2020)

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

Eclipse: Generalizing kNN and Skyline. - Jinfei Liu; Li Xiong 001; Qiuchen Zhang; Jian Pei 001; Jun Luo 007 (ICDE, 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)

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)

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. - Hong-Kyu Lee; Qiuchen Zhang; Carl Yang 001; Jian Lou 001; Li Xiong 001 (CoRR, 2024)

Network-based System of Mechanical Vibration Fault Diagnosis. - Qiuchen Zhang; Xiaoxia Jin (Scalable Comput. Pract. Exp., 2024)

Node-level Contrastive Unlearning on Graph Neural Networks. - Hong-Kyu Lee; Qiuchen Zhang; Carl Yang 001; Li Xiong 001 (CoRR, 2025)