Data-Driven Optimization for Utility Providers with Differential Privacy of Users' Energy Profile. - Jingyi Wang 002; Xinyue Zhang 001; Haijun Zhang 001; Hai Lin; Hideki Tode; Miao Pan; Zhu Han 001 (GLOBECOM, 2018)

Data-Driven Caching with Users' Local Differential Privacy in Information-Centric Networks. - Xinyue Zhang 001; Jingyi Wang 002; Hongning Li; Yuanxiong Guo; Qingqi Pei; Pan Li 001; Miao Pan (GLOBECOM, 2018)

TPP: Trajectory Privacy Preservation Against Tensor Voting Based Inference Attacks. - Xinyue Zhang 001; Jingyi Wang 002; Minglei Shu; Yinglong Wang; Miao Pan; Zhu Han 001 (IEEE Access, 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)

Participant Recruitment for Coverage-Aware Mobile Crowdsensing with Location Differential Privacy. - Liang Li; Xinyue Zhang 001; Ronghui Hou; Hao Yue 001; Hui Li 006; Miao Pan (GLOBECOM, 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)

Data-Driven Small Cell Placement Optimization with Users' Differential Privacy for Wireless NGNs. - Jingyi Wang 002; Xinyue Zhang 001; Wenjun Xu 001; Qixun Zhang; Zhiyong Feng 001; Miao Pan (ICDCS, 2019)

Catching All Pokémon: Virtual Reward Optimization With Tensor Voting Based Trajectory Privacy. - Xinyue Zhang 001; Jingyi Wang 002; Yong Li 008; Riku Jaentti; Miao Pan; Zhu Han 001 (IEEE Trans. Veh. Technol., 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)

Data-Driven Small Cell Planning for Traffic Offloading with Users' Differential Privacy. - Rui Chen 026; Xinyue Zhang 001; Jingyi Wang 002; Qimei Cui; Wenjun Xu 001; Miao Pan (ICC, 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)

Secure Routing Protocol in Wireless Ad Hoc Networks via Deep Learning. - Feng Hu 003; Bing Chen 002; Dian Shi; Xinyue Zhang 001; Haijun Zhang 001; Miao Pan (WCNC, 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)

A Privacy Preserving Federated Learning Framework for COVID-19 Vulnerability Map Construction. - Jeffrey Jiarui Chen; Rui Chen 026; Xinyue Zhang 001; Miao Pan (ICC, 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)

Data-Driven Spectrum Trading with Secondary Users' Differential Privacy Preservation. - Jingyi Wang 002; Xinyue Zhang 001; Qixun Zhang; Ming Li 006; Yuanxiong Guo; Zhiyong Feng 001; Miao Pan (IEEE Trans. Dependable Secur. Comput., 2021)

Data-Driven Caching With Users' Content Preference Privacy in Information-Centric Networks. - Xinyue Zhang 001; Hongning Li; Jingyi Wang 002; Yuanxiong Guo; Qingqi Pei; Pan Li 001; Miao Pan (IEEE Trans. Wirel. Commun., 2021)

Robust federated learning based on metrics learning and unsupervised clustering for malicious data detection. - Jiaming Li; Xinyue Zhang 001; Liang Zhao 024 (ACM Southeast Regional Conference, 2022)

Reinforcement Learning Agent for Path Planning with Expert Demonstration. - Alan Norkham; Mikalus Chalupa; Noah Gardner; Md Abdullah Al Hafiz Khan; Xinyue Zhang 001; Chih-Cheng Hung (COMPSAC, 2022)

Energy Efficient Federated Learning over Cooperative Relay-Assisted Wireless Networks. - Xinyue Zhang 001; Rui Chen 026; Jingyi Wang 002; Huaqing Zhang; Miao Pan (GLOBECOM, 2022)

Privacy Preserving Participant Recruitment for Coverage Maximization in Location Aware Mobile Crowdsensing. - Liang Li; Dian Shi; Xinyue Zhang 001; Ronghui Hou; Hao Yue 001; Hui Li 006; Miao Pan (IEEE Trans. Mob. Comput., 2022)

Comparison of Long Short-Term Memory Networks and Temporal Convolutional Networks for Sentiment Analysis. - Samuel Hekman; Meghan Brock; Md Abdullah Al Hafiz Khan; Xinyue Zhang 001 (ACM Southeast Regional Conference, 2023)

Evaluation of Query-Based Membership Inference Attack on the Medical Data. - Lakshmi Prasanna Pedarla; Xinyue Zhang 001; Liang Zhao 024; Hafiz Khan (ACM Southeast Regional Conference, 2023)

Poster: AsyncFedKD: Asynchronous Federated Learning with Knowledge Distillation. - Malik Naik Mohammed; Xinyue Zhang 001; Maria Valero; Ying Xie 001 (CHASE, 2023)

Serverless-DFS: Serverless Federated Learning with Dynamic Forest Strategy. - Bobin Deng; Xinyue Zhang 001; Dan Chia-Tien Lo (ICNCC, 2023)

EEFL: High-Speed Wireless Communications Inspired Energy Efficient Federated Learning over Mobile Devices. - Rui Chen 026; Qiyu Wan; Xinyue Zhang 001; Xiaoqi Qin; Yanzhao Hou; Di Wang 015; Xin Fu; Miao Pan (MobiSys, 2023)

Tuning Quantum Computing Privacy through Quantum Error Correction. - Hui Zhong; Keyi Ju; Manojna Sistla; Xinyue Zhang 001; Xiaoqi Qin; Xin Fu; Miao Pan (CoRR, 2023)

Data-Driven Transportation Network Company Vehicle Scheduling With Users' Location Differential Privacy Preservation. - Xinyue Zhang 001; Jingyi Wang 002; Haijun Zhang 001; Lixin Li 001; Miao Pan; Zhu Han 001 (IEEE Trans. Mob. Comput., 2023)

Metaverse CAN: Embracing Continuous, Active, and Non-Intrusive Biometric Authentication. - Hui Zhong; Chenpei Huang; Xinyue Zhang 001; Miao Pan (IEEE Netw., 2023)

Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning. - Dan Chia-Tien Lo; Yong Shi 002; Hossain Shahriar; Bobin Deng; Xinyue Zhang 001; Mei-Lan Chen (IEEE Big Data, 2024)

Towards More Robust and Scalable Deep Learning Systems for Medical Image Analysis. - Akshaj Yenumala; Xinyue Zhang 001; Dan Lo 001 (IEEE Big Data, 2024)

Tuning Quantum Computing Privacy through Quantum Error Correction. - Hui Zhong; Keyi Ju; Manojna Sistla; Xinyue Zhang 001; Aohan Li; Xiaoqi Qin; Xin Fu; Miao Pan (GLOBECOM, 2024)

Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning. - Keyi Ju; Xiaoqi Qin; Hui Zhong; Xinyue Zhang 001; Miao Pan; Baoling Liu (ICC, 2024)

Hybrid Quantum Classical Machine Learning with Knowledge Distillation. - Mingze Li; Lei Fan 006; Aaron Cummings; Xinyue Zhang 001; Miao Pan; Zhu Han 001 (ICC, 2024)

Client Selection in Federated Learning: A Dynamic Matching-Based Incentive Mechanism. - Sai Sharanya Yellampalli; Mikulas Chalupa; Jingyi Wang 002; Hyo Jung Song; Xinyue Zhang 001; Hao Yue 001; Miao Pan (ICNC, 2024)

Enhancing Genomic Datasets with cGANs: A Study on Synthetic DNA Sequences for Non-Human Species. - Nishat Tasnim; Yong Shi 002; Kun Suo; Xinyue Zhang 001 (ICECET, 2024)

Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy. - Yusheng Zhao; Hui Zhong; Xinyue Zhang 001; Yuqing Li; Chi Zhang 001; Miao Pan (QCE, 2024)

Controllable Quantum Computing Privacy via Inherent Noises and Quantum Error Mitigation. - Keyi Ju; Hui Zhong; Xinyue Zhang 001; Xiaoqi Qin; Miao Pan (TrustCom, 2024)

Bridging Quantum Computing and Differential Privacy: A Survey on Quantum Computing Privacy. - Yusheng Zhao; Hui Zhong; Xinyue Zhang 001; Chi Zhang 001; Miao Pan (CoRR, 2024)

Differential Privacy Preserving Distributed Quantum Computing. - Hui Zhong; Keyi Ju; Jiachen Shen; Xinyue Zhang 001; Xiaoqi Qin; Tomoaki Ohtsuki; Miao Pan; Zhu Han 001 (CoRR, 2024)

A Comparison of Classical and Quantum Neural Network Algorithms for Malware Detection. - Arshiya Vyas; Dan Lo 001; Xinyue Zhang 001 (ACM Southeast Regional Conference, 2025)

A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering. - Nobel Dhar; Bobin Deng; Md. Romyull Islam; Xinyue Zhang 001; Kazi Fahim Ahmad Nasif; Kun Suo (Euro-Par (1), 2025)

Wireless Sensing of Gait for Neurodegenerative Disease Assessment: A Scoping Review. - Patrick Wu; Yiwen Dong 001; Chenhan Xu; Mark Geil; Modupe Akintomide; Xinyue Zhang 001; Zongxing Xie (HumanSys@SenSys, 2025)

FedKDShap: Enhancing Federated Learning via Shapley Values Driven Knowledge Distillation on Non-IID Data. - Nazmus Shakib Shadin; Xinyue Zhang 001 (WWW (Companion Volume), 2025)

Quantum Computing Catalyzes Future Quantum Networks: Efficiency and Inherent Privacy. - Keyi Ju; Hui Zhong; Xinyue Zhang 001; Xiaoqi Qin; Miao Pan (IEEE Netw., 2025)