Deep Q-Network Based Route Scheduling for Transportation Network Company Vehicles. - Dian Shi; Jiahao Ding; Sai Mounika Errapotu; Hao Yue 001; Wenjun Xu 001; Xiangwei Zhou; Miao Pan (GLOBECOM, 2018)

Differentially Private Robust ADMM for Distributed Machine Learning. - Jiahao Ding; Xinyue Zhang 001; Mingsong Chen 001; Kaiping Xue; Chi Zhang 001; Miao Pan (IEEE BigData, 2019)

Differentially Private Functional Mechanism for Generative Adversarial Networks. - Xinyue Zhang 001; Jiahao Ding; Sai Mounika Errapotu; Xiaoxia Huang; Pan Li 001; Miao Pan (GLOBECOM, 2019)

Stochastic ADMM Based Distributed Machine Learning with Differential Privacy. - Jiahao Ding; Sai Mounika Errapotu; Haijun Zhang 001; Yanmin Gong 001; Miao Pan; Zhu Han 001 (SecureComm (1), 2019)

Optimal Differentially Private ADMM for Distributed Machine Learning. - Jiahao Ding; Yanmin Gong 001; Miao Pan; Zhu Han 001 (CoRR, 2019)

Deep Q-Network-Based Route Scheduling for TNC Vehicles With Passengers' Location Differential Privacy. - Dian Shi; Jiahao Ding; Sai Mounika Errapotu; Hao Yue 001; Wenjun Xu 001; Xiangwei Zhou; Miao Pan (IEEE Internet Things J., 2019)

Differentially Private and Fair Classification via Calibrated Functional Mechanism. - Jiahao Ding; Xinyue Zhang 001; Xiaohuan Li; Junyi Wang; Rong Yu 001; Miao Pan (AAAI, 2020)

Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. - Jiahao Ding; Jingyi Wang 002; Guannan Liang; Jinbo Bi; Miao Pan (CIKM, 2020)

Privacy Preserving Facial Recognition Against Model Inversion Attacks. - Pavana Prakash; Jiahao Ding; Hongning Li; Sai Mounika Errapotu; Qingqi Pei; Miao Pan (GLOBECOM, 2020)

AR Assisted Process Guidance System for Ship Block Fabrication. - Jiahao Ding; Yu Zhu; Mingyu Luo; Minghua Zhu; Xiumin Fan; Zelin Zhou (HCI (11), 2020)

Mobile Crowdsensing Task Allocation optimization with Differentially Private Location Privacy. - Xinyue Zhang 001; Jiahao Ding; Xuanheng Li; Tingting Yang 001; Jie Wang 003; Miao Pan (ICC, 2020)

Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. - Guannan Liang; Qianqian Tong; Jiahao Ding; Miao Pan; Jinbo Bi (ICDM, 2020)

Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees. - Di Wang 015; Jiahao Ding; Zejun Xie; Miao Pan; Jinhui Xu 001 (CoRR, 2020)

Evaluation of Inference Attack Models for Deep Learning on Medical Data. - Maoqiang Wu; Xinyue Zhang 001; Jiahao Ding; Hien Van Nguyen; Rong Yu 001; Miao Pan; Stephen T. Wong (CoRR, 2020)

Differentially Private and Communication Efficient Collaborative Learning. - Jiahao Ding; Guannan Liang; Jinbo Bi; Miao Pan (AAAI, 2021)

To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. - Pavana Prakash; Jiahao Ding; Maoqiang Wu; Minglei Shu; Rong Yu 001; Miao Pan (GLOBECOM, 2021)

SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning. - Pavana Prakash; Jiahao Ding; Minglei Shu; Junyi Wang 002; Wenjun Xu 001; Miao Pan (SEC, 2021)

Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data. - Xinyue Zhang 001; Jiahao Ding; Maoqiang Wu; Stephen T. C. Wong; Hien Van Nguyen; Miao Pan (WACV, 2021)

Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach. - Maoqiang Wu; Dongdong Ye; Jiahao Ding; Yuanxiong Guo; Rong Yu 001; Miao Pan (IEEE Internet Things J., 2021)

Federated Optimization of ℓ0-norm Regularized Sparse Learning. - Qianqian Tong; Guannan Liang; Jiahao Ding; Tan Zhu; Miao Pan; Jinbo Bi (Algorithms, 2022)

IoT Device Friendly and Communication-Efficient Federated Learning via Joint Model Pruning and Quantization. - Pavana Prakash; Jiahao Ding; Rui Chen 026; Xiaoqi Qin; Minglei Shu; Qimei Cui; Yuanxiong Guo; Miao Pan (IEEE Internet Things J., 2022)

Towards Fast and Accurate Federated Learning with Non-IID Data for Cloud-Based IoT Applications. - Tian Liu 005; Jiahao Ding; Ting Wang 001; Miao Pan; Mingsong Chen 001 (J. Circuits Syst. Comput., 2022)

Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System. - Jiahao Ding; Sai Mounika Errapotu; Yuanxiong Guo; Haixia Zhang 001; Dongfeng Yuan; Miao Pan (IEEE Trans. Big Data, 2022)

3D Geo-Indistinguishability for Indoor Location-Based Services. - Minghui Min; Liang Xiao 003; Jiahao Ding; Hongliang Zhang 001; Shiyin Li; Miao Pan; Zhu Han 001 (IEEE Trans. Wirel. Commun., 2022)

Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm. - Di Wang 015; Jiahao Ding; Lijie Hu; Zejun Xie; Miao Pan; Jinhui Xu 001 (ECAI, 2023)

An Adaptive RRT Algorithm Based on Narrow Passage Recognition for Assembly Path Planning. - Linhui Zhou; Jiahao Ding; Xiumin Fan (IEEM, 2023)

PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. - Li Zhang 074; Jiahao Ding; Yifeng Gao; Jessica Lin 001 (SDM, 2023)

Stochastic privacy-preserving methods for nonconvex sparse learning. - Guannan Liang; Qianqian Tong; Jiahao Ding; Miao Pan; Jinbo Bi (Inf. Sci., 2023)

Personalized 3D Location Privacy Protection With Differential and Distortion Geo-Perturbation. - Minghui Min; Haopeng Zhu; Jiahao Ding; Shiyin Li; Liang Xiao 003; Miao Pan; Zhu Han 001 (IEEE Trans. Dependable Secur. Comput., 2024)

TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. - Kay Liu; Jiahao Ding; MohamadAli Torkamani; Philip S. Yu (PAKDD (2), 2025)

The effect of physical activity on anti-infection immunity: a review. - Jing Wang; Wenbo Zhao; Jiahao Ding; Yang Li (Health Inf. Sci. Syst., 2025)