Jiahao Ding

39 papers A* 3A 4B 4Misc 1Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Deep Reinforcement Learning-Based Energy Efficiency Optimization of RIS-UAV-Assisted Communication System.
VTC2025-Fall
Jiahao Ding, Junxuan Wang, Yanyan Zhang, Fan Jiang, Xuewei Zhang, Jianbo Du
2025 — conf
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale.
PAKDD (2)
Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu
2025 J jnl
The effect of physical activity on anti-infection immunity: a review.
Health Inf. Sci. Syst.
Jing Wang, Wenbo Zhao, Jiahao Ding, Yang Li
2024 J jnl
Personalized 3D Location Privacy Protection With Differential and Distortion Geo-Perturbation.
IEEE Trans. Dependable Secur. Comput.
Minghui Min, Haopeng Zhu, Jiahao Ding, Shiyin Li, Liang Xiao, Miao Pan, Zhu Han
2024 J jnl
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale.
CoRR
Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu
2023 — conf
An Adaptive RRT Algorithm Based on Narrow Passage Recognition for Assembly Path Planning.
IEEM
Linhui Zhou, Jiahao Ding, Xiumin Fan
2023 A conf
Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm.
ECAI
Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu
2023 A conf
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series.
SDM
Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin
2023 J jnl
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series.
CoRR
Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin
2023 J jnl
Stochastic privacy-preserving methods for nonconvex sparse learning.
Inf. Sci.
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
2022 J jnl
3D Geo-Indistinguishability for Indoor Location-Based Services.
IEEE Trans. Wirel. Commun.
Minghui Min, Liang Xiao, Jiahao Ding, Hongliang Zhang, Shiyin Li, Miao Pan, Zhu Han
2022 J jnl
Federated Optimization of ℓ0-norm Regularized Sparse Learning.
Algorithms
Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi
2022 J jnl
IoT Device Friendly and Communication-Efficient Federated Learning via Joint Model Pruning and Quantization.
IEEE Internet Things J.
Pavana Prakash, Jiahao Ding, Rui Chen, Xiaoqi Qin, Minglei Shu, Qimei Cui, Yuanxiong Guo, Miao Pan
2022 J jnl
Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System.
IEEE Trans. Big Data
Jiahao Ding, Sai Mounika Errapotu, Yuanxiong Guo, Haixia Zhang, Dongfeng Yuan, Miao Pan
2022 J jnl
Towards Fast and Accurate Federated Learning with Non-IID Data for Cloud-Based IoT Applications.
J. Circuits Syst. Comput.
Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen
2022 J jnl
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications.
CoRR
Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen
2021 A conf
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data.
WACV
Xinyue Zhang, Jiahao Ding, Maoqiang Wu, Stephen T. C. Wong, Hien Van Nguyen, Miao Pan
2021 A* conf
Differentially Private and Communication Efficient Collaborative Learning.
AAAI
Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan
2021 J jnl
Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach.
IEEE Internet Things J.
Maoqiang Wu, Dongdong Ye, Jiahao Ding, Yuanxiong Guo, Rong Yu, Miao Pan
2021 Misc conf
SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning.
SEC
Pavana Prakash, Jiahao Ding, Minglei Shu, Junyi Wang, Wenjun Xu, Miao Pan
2021 B conf
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices.
GLOBECOM
Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan
2021 J jnl
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices.
CoRR
Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan
2020 — conf
AR Assisted Process Guidance System for Ship Block Fabrication.
HCI (11)
Jiahao Ding, Yu Zhu, Mingyu Luo, Minghua Zhu, Xiumin Fan, Zelin Zhou
2020 J jnl
Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees.
CoRR
Di Wang, Jiahao Ding, Zejun Xie, Miao Pan, Jinhui Xu
2020 A* conf
Differentially Private and Fair Classification via Calibrated Functional Mechanism.
AAAI
Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan
2020 J jnl
Differentially Private and Fair Classification via Calibrated Functional Mechanism.
CoRR
Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan
2020 A* conf
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning.
ICDM
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
2020 J jnl
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning.
CoRR
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
2020 J jnl
Evaluation of Inference Attack Models for Deep Learning on Medical Data.
CoRR
Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong
2020 — conf
Mobile Crowdsensing Task Allocation optimization with Differentially Private Location Privacy.
ICC
Xinyue Zhang, Jiahao Ding, Xuanheng Li, Tingting Yang, Jie Wang, Miao Pan
2020 B conf
Privacy Preserving Facial Recognition Against Model Inversion Attacks.
GLOBECOM
Pavana Prakash, Jiahao Ding, Hongning Li, Sai Mounika Errapotu, Qingqi Pei, Miao Pan
2020 A conf
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning.
CIKM
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
2020 J jnl
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning.
CoRR
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
2019 J jnl
Deep Q-Network-Based Route Scheduling for TNC Vehicles With Passengers' Location Differential Privacy.
IEEE Internet Things J.
Dian Shi, Jiahao Ding, Sai Mounika Errapotu, Hao Yue, Wenjun Xu, Xiangwei Zhou, Miao Pan
2019 B conf
Differentially Private Functional Mechanism for Generative Adversarial Networks.
GLOBECOM
Xinyue Zhang, Jiahao Ding, Sai Mounika Errapotu, Xiaoxia Huang, Pan Li, Miao Pan
2019 — conf
Differentially Private Robust ADMM for Distributed Machine Learning.
IEEE BigData
Jiahao Ding, Xinyue Zhang, Mingsong Chen, Kaiping Xue, Chi Zhang, Miao Pan
2019 J jnl
Optimal Differentially Private ADMM for Distributed Machine Learning.
CoRR
Jiahao Ding, Yanmin Gong, Miao Pan, Zhu Han
2019 — conf
Stochastic ADMM Based Distributed Machine Learning with Differential Privacy.
SecureComm (1)
Jiahao Ding, Sai Mounika Errapotu, Haijun Zhang, Yanmin Gong, Miao Pan, Zhu Han
2018 B conf
Deep Q-Network Based Route Scheduling for Transportation Network Company Vehicles.
GLOBECOM
Dian Shi, Jiahao Ding, Sai Mounika Errapotu, Hao Yue, Wenjun Xu, Xiangwei Zhou, Miao Pan