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2020 – today
- 2024
[j9]Minghui Min
, Haopeng Zhu, Jiahao Ding, Shiyin Li, Liang Xiao, Miao Pan, Zhu Han:
Personalized 3D Location Privacy Protection With Differential and Distortion Geo-Perturbation. IEEE Trans. Dependable Secur. Comput. 21(4): 3629-3643 (2024)- 2023
- [j8]Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi:
Stochastic privacy-preserving methods for nonconvex sparse learning. Inf. Sci. 630: 567-585 (2023) - [c17]Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu:
Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm. ECAI 2023: 2435-2442 - [c16]Linhui Zhou, Jiahao Ding, Xiumin Fan:
An Adaptive RRT Algorithm Based on Narrow Passage Recognition for Assembly Path Planning. IEEM 2023: 203-208 - [c15]Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin:
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. SDM 2023: 891-899 - [i9]Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin:
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. CoRR abs/2301.01838 (2023) - 2022
- [j7]Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi:
Federated Optimization of ℓ0-norm Regularized Sparse Learning. Algorithms 15(9): 319 (2022) - [j6]Pavana Prakash, Jiahao Ding, Rui Chen, Xiaoqi Qin, Minglei Shu, Qimei Cui, Yuanxiong Guo, Miao Pan:
IoT Device Friendly and Communication-Efficient Federated Learning via Joint Model Pruning and Quantization. IEEE Internet Things J. 9(15): 13638-13650 (2022) - [j5]Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen:
Towards Fast and Accurate Federated Learning with Non-IID Data for Cloud-Based IoT Applications. J. Circuits Syst. Comput. 31(13): 2250235:1-2250235:21 (2022) - [j4]Jiahao Ding, Sai Mounika Errapotu, Yuanxiong Guo, Haixia Zhang, Dongfeng Yuan, Miao Pan:
Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System. IEEE Trans. Big Data 8(4): 1107-1117 (2022) - [j3]Minghui Min, Liang Xiao, Jiahao Ding, Hongliang Zhang, Shiyin Li, Miao Pan, Zhu Han:
3D Geo-Indistinguishability for Indoor Location-Based Services. IEEE Trans. Wirel. Commun. 21(7): 4682-4694 (2022) - [i8]Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen:
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications. CoRR abs/2201.12515 (2022) - 2021
- [j2]Maoqiang Wu, Dongdong Ye, Jiahao Ding, Yuanxiong Guo, Rong Yu, Miao Pan:
Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach. IEEE Internet Things J. 8(13): 10639-10651 (2021) - [c14]Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan:
Differentially Private and Communication Efficient Collaborative Learning. AAAI 2021: 7219-7227 - [c13]Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan:
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. GLOBECOM 2021: 1-6 - [c12]Pavana Prakash, Jiahao Ding, Minglei Shu, Junyi Wang, Wenjun Xu, Miao Pan:
SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning. SEC 2021: 350-354 - [c11]Xinyue Zhang, Jiahao Ding, Maoqiang Wu, Stephen T. C. Wong, Hien Van Nguyen, Miao Pan:
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data. WACV 2021: 1168-1177 - [i7]Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan:
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. CoRR abs/2111.00637 (2021) - 2020
- [c10]Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan:
Differentially Private and Fair Classification via Calibrated Functional Mechanism. AAAI 2020: 622-629 - [c9]Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan:
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CIKM 2020: 285-294 - [c8]Pavana Prakash, Jiahao Ding, Hongning Li, Sai Mounika Errapotu, Qingqi Pei, Miao Pan:
Privacy Preserving Facial Recognition Against Model Inversion Attacks. GLOBECOM 2020: 1-6 - [c7]Jiahao Ding, Yu Zhu, Mingyu Luo, Minghua Zhu, Xiumin Fan, Zelin Zhou:
AR Assisted Process Guidance System for Ship Block Fabrication. HCI (11) 2020: 66-79 - [c6]Xinyue Zhang, Jiahao Ding, Xuanheng Li, Tingting Yang, Jie Wang, Miao Pan:
Mobile Crowdsensing Task Allocation optimization with Differentially Private Location Privacy. ICC 2020: 1-6 - [c5]Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi:
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. ICDM 2020: 342-351 - [i6]Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan:
Differentially Private and Fair Classification via Calibrated Functional Mechanism. CoRR abs/2001.04958 (2020) - [i5]Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan:
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CoRR abs/2008.04500 (2020) - [i4]Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi:
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. CoRR abs/2009.06562 (2020) - [i3]Di Wang, Jiahao Ding, Zejun Xie, Miao Pan, Jinhui Xu:
Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees. CoRR abs/2010.13520 (2020) - [i2]Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong:
Evaluation of Inference Attack Models for Deep Learning on Medical Data. CoRR abs/2011.00177 (2020)
2010 – 2019
- 2019
- [j1]Dian Shi, Jiahao Ding, Sai Mounika Errapotu, Hao Yue, Wenjun Xu, Xiangwei Zhou, Miao Pan:
Deep Q-Network-Based Route Scheduling for TNC Vehicles With Passengers' Location Differential Privacy. IEEE Internet Things J. 6(5): 7681-7692 (2019) - [c4]Jiahao Ding, Xinyue Zhang, Mingsong Chen, Kaiping Xue, Chi Zhang, Miao Pan:
Differentially Private Robust ADMM for Distributed Machine Learning. IEEE BigData 2019: 1302-1311 - [c3]Xinyue Zhang, Jiahao Ding, Sai Mounika Errapotu, Xiaoxia Huang, Pan Li, Miao Pan:
Differentially Private Functional Mechanism for Generative Adversarial Networks. GLOBECOM 2019: 1-6 - [c2]Jiahao Ding, Sai Mounika Errapotu, Haijun Zhang, Yanmin Gong, Miao Pan, Zhu Han:
Stochastic ADMM Based Distributed Machine Learning with Differential Privacy. SecureComm (1) 2019: 257-277 - [i1]Jiahao Ding, Yanmin Gong, Miao Pan, Zhu Han:
Optimal Differentially Private ADMM for Distributed Machine Learning. CoRR abs/1901.02094 (2019) - 2018
- [c1]Dian Shi, Jiahao Ding, Sai Mounika Errapotu, Hao Yue, Wenjun Xu, Xiangwei Zhou, Miao Pan:
Deep Q-Network Based Route Scheduling for Transportation Network Company Vehicles. GLOBECOM 2018: 1-7
Coauthor Index
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