Publications

Book

1. Miao Pan, Jingyi Wang, Sai Mounika Errapotu, Xinyue Zhang, Jiahao Ding, and Zhu Han, "Big Data Privacy Preservation for Cyber-Physical Systems," Springer, 2019.

Journal Publications

1. Hui Zhong, Chenpei Huang, Xinyue Zhang, and Miao Pan, "Metaverse CAN: Embracing Continuous, Active, and Non-intrusive Biometric Authentication", IEEE Network, Early Access, 2023.

2. Liang Li, Dian Shi, Xinyue Zhang, Ronghui Hou, Hao Yue, Hui Li, and Miao Pan, "Privacy Preserving Participant Recruitment for Coverage Maximization in Location Aware Mobile Crowdsensing", IEEE Transactions on Mobile Computing (early access), 2021.

3. Xinyue Zhang, Jingyi Wang, Haijun Zhang, Lixin Li, Miao Pan, and Zhu Han, “Data-Driven Transportation Network Company Vehicle Scheduling with Users’ Location Differential Privacy Preservation”, IEEE Transactions on Mobile Computing (TMC), Vol. 22, No. 2, pp. 813 - 823, February 2023.

4. Xinyue Zhang, Hongning Li, Jingyi Wang, Yuanxiong Guo, Qingqi Pei, Pan Li, and Miao Pan, "Data-Driven Caching with Users' Content Preference Privacy in Information-Centric Networks", IEEE Transactions on Wireless Communications, Vol. 20, No. 9, pp. 5744 - 5753, September 2021.

5. Jingyi Wang, Xinyue Zhang,  Qixun Zhang,  Ming Li,  Yuanxiong Guo,  Zhiyong Feng and Miao Pan, “Data-Driven Spectrum Trading with Secondary Users’ Differential Privacy Preservation”, IEEE Transactions on Dependable and Secure Computing, Vol. 18, No. 1, pp. 438-447, Jan.-Feb. 2021.

6. Xinyue Zhang, Jingyi Wang, Yong Li, Riku Jantii, Miao Pan and Zhu Han, “Catching All Pokemon: Virtual  Reward  Optimization  with  Tensor  Voting  Based  Trajectory  Privacy”, IEEE  Transactions  on Vehicular Technology, Vol.  68, No.  1, pp.  883-892, Jan 2019.

7. Xinyue Zhang, Jingyi Wang, Minglei Shu, Yinglong Wang, Miao Pan, and Zhu Han, “TPP: Trajectory Privacy Preservation against Tensor Voting Based Inference Attacks”, IEEE  Access, Vol.  6, No.  1, pp.77975-77985, Dec 2018.

Conference Publications

1. Mingze Li, Lei Fan, Aaron Cummings*, Xinyue Zhang, and Miao Pan, "Hybrid Quantum Classical Machine Learning with Knowledge Distillation", accepted by IEEE International Conference on Communications (ICC) 2024.

2. Keyi Ju, Xiaoqi Qin, Hui Zhong, Xinyue Zhang, Miao Pan, and Baoling Liu, "Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning", accepted by IEEE International Conference on Communications (ICC) 2024.

3. Sai Sharanya Yellampalli, Mikulas Chalupa*, Jingyi Wang, Hyo Jung Song, Xinyue Zhang, Hao Yue and Miao Pan, "Client Selection in Federated Learning: A Dynamic Matching-Based Incentive Mechanism", International Conference on Computing, Networking and Communication (ICNC) 2024, Kona, HI, February 19-22, 2024.

4. Bobin Deng, Xinyue Zhang, and Dan Lo, "Serverless-DFS: Serverless Federated Learning with Dynamic Forest Strategy", In Proceedings of 12th International Conference on Networks, Communication and Computing (ICNCC), Osaka, Japan, December 15-17, 2023. 

5. Rui Chen, Qiyu Wan, Xinyue Zhang, Xiaoqi Qin, Yanzhao Hou, Di Wang, Xin Fu, and Miao Pan, "EEFL: High-Speed Wireless Communications Inspired Energy Efficient Federated Learning over Mobile Devices", In Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services (MobiSys '23), New York, NY, June 18-22, 2023. (Acceptance Ratio: 41/198 = 20.7%)

6. Malik Naik Mohammed*, Xinyue Zhang, Maria Valero, and Ying Xie, "AsyncFedKD: Asynchronous Federated Learning with Knowledge Distillation on the Mammography Dataset (Poster)", 2023 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Orlando, FL, June 21-23, 2023. 

7. Lakshmi Prasanna Pedarla*, Xinyue Zhang, and Liang Zhao, Hafiz Khan, "Evaluation of Query-Based Membership Inference Attack on the Medical Data", ACM Southeast (ACMSE) conference 2023, Virtual, April 12-14, 2023.

8. Samuel Hekman*, Meghan Brock, Md Abdullah Al Hafiz Khan, Xinyue Zhang, "Comparison of Long Short-Term Memory Networks and Temporal Convolutional Networks for Sentiment Analysis", ACM Southeast (ACMSE) conference 2023, Virtual, April 12-14, 2023.

9. Xinyue Zhang, Rui Chen, Jingyi Wang, Huaqing Zhang, and Miao Pan, "Energy Efficient Federated Learning over Cooperative Relay-Assisted Wireless Networks", IEEE Global Communications Conference (GLOBECOM'22), Rio de Janeiro-RJ, Brazil, December 4-8, 2022.

10. Alan Norkham, Mikalus Chalupa*, Noah Gardner, Md Abdullah Al Hafiz Khan, Xinyue Zhang, and Chih-Cheng Hung, "Reinforcement Learning Agent Path Planning with Expert Demonstration", IEEE Annual Computers, Software, and Applications Conference (COMPSAC'22), Virtual, June 27 - July 1, 2022.

11. Jiaming Li, Xinyue Zhang, and Liang Zhao, "Robust Federated Learning based on Metrics Learning and Unsupervised Clustering for Malicious Data Detection",  ACM Southeast (ACMSE'22), Virtual, April 18-20, 2022.

12. Jeffrey Jiarui Chen, Rui Chen, Xinyue Zhang, and Miao Pan, "A Privacy Preserving Federated Learning Framework for COVID-19 Vulnerability Map Construction", IEEE International Conference on Communications (ICC'21), Virtual/Montreal, Canada, June 14-23, 2021.

13. Xinyue Zhang, Jiahao Ding, Hien Nguyen, Stephen Wong, and Miao Pan, “Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data”,  submitted to Winter Conference on Applications of Computer Vision 2021, Fully ONLINE, January 5-9, 2021.

14. Xinyue Zhang, Jiahao Ding, Xuanheng Li, Tingting Yang, Jie Wang, and Miao Pan, "Mobile Crowd-sensing Task Allocation Optimization with Differentially Private Location Privacy”,IEEE International Conference on Communications (ICC’20), Dublin, Ireland, June 7-11, 2020.

15. Rui Chen, Xinyue Zhang, Jingyi Wang, Qimei Cui, Wenjun Xu, and Miao Pan, "Data-Driven Small Cell Planning for Traffic Offloading with Users’ Differential Privacy”, IEEE International Conference on Communications (ICC’20), Dublin, Ireland, June 7-11, 2020.

16. Feng Hu, Bing Chen, Dian Shi, Xinyue Zhang, Haijun Zhang, and Miao Pan, "Secure Routing Protocol in  Wireless  Ad  Hoc  Networks  via  Deep  Learning”,IEEE  Wireless  Communications  and  Networking Conference (WCNC’20), Seoul, South Korea, April 6-9, 2020.

17. Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, and Miao Pan, "Differentially Privateand Fair Classification via Calibrated Functional Mechanism”, AAAI Conference on Artificial Intelligence (AAAI’20), New York, NY, February 7-12, 2020. (Acceptance ratio: 1,591/7,737 = 20.56%)

18. Jiahao Ding, Xinyue Zhang, Mingsong Chen, Kaiping Xue, Chi Zhang, and Miao Pan, "Differentially Private Robust ADMM for Distributed Machine Learning”, IEEE International Conference on Big Data (BigData’19), Los Angeles, CA, December 9-12, 2019. (Acceptance ratio: 106/550 = 19.27%)

19. Xinyue Zhang, Jiahao Ding, Sai Mounika Errapotu, Xiaoxia Huang, Pan Li, and Miao Pan, "Differentially Private Functional Mechanism for Generative Adversarial Networks”, IEEE Global Communications Conference (GLOBECOM’19), Waikoloa, HI, December 9-13, 2019.

20. Liang Li, Ronghui Hou, Xinyue Zhang, Hao Yue, Hui Li, and Miao Pan, "Participant Recruitment for Coverage-Aware Mobile Crowdsensing with Location Differential Privacy”, IEEE Global Communications Conference (GLOBECOM’19), Waikoloa, HI, December 9-13, 2019.

21. Jingyi Wang, Xinyue Zhang, Wenjun Xu, Qixun Zhang, Zhiyong Feng, and Miao Pan, "Data-Driven Small Cell Placement Optimization with Users’ Differential Privacy for Wireless NGNs”, International Conference on Distributed Computing Systems (ICDCS’19), Dallas, TX, July 7-10, 2019. (Acceptance ratio: 132/668 = 19.76%)

22. Xinyue Zhang, Jingyi Wang, Hongning Li, Yuanxiong Guo, Qingqi Pei, Pan Li, and Miao Pan, “Data-Driven Caching with Users’ Local Differential Privacy in Information-Centric Networks”, IEEE Global Communications Conference (GLOBECOM’18), Abu Dhabi, UAE, Dec.  2018.

23. Jingyi Wang, Xinyue Zhang,  Haijun Zhang,  Hai Lin,  Hideki Tode,  Miao Pan and Zhu Han,  “Data-Driven Optimization for Utility Providers with Differential Privacy of Users’ Energy Profile”,  IEEE Global Communications Conference (GLOBECOM’18), Abu Dhabi, UAE, Dec.  2018.

* Student advised by Dr. Xinyue Zhang