Associate professor at Tianjing University 天津大学副教授
👤 About Me 个人简介
I am an Associate Professor, with College of Intelligence and Computing (opens new window), Tianjin University. Prior to joining Tianjin University, I was a researcher in the Hong Kong Theory Lab of Huawei 2012 laboratory from 2022 to 2023. From 2019 to 2022, I also worked as a postdoctoral fellow in the PEIlab (opens new window) of the Hong Kong Polytechnic University. I received my Ph.D. degree (2019) and B. Eng. degree (2013) in computer science from Dalian University of Technology.
My research area includes internet of things(IoT) and Edge AI, with a particular focus on wireless sensing, RFID, and federated learning.
🔥 News 近况
Oct 2023, Our paper entitled "PmTrack: Enabling Personalized mmWave-based Human Tracking" was accepted by IMWUT 2023.
Oct 2023, Our paper entitled "HyperTracking: Exploring the Hyperbolic Model for Non-line-of-sight Device-free Wi-Fi Tracking" was accepted by IMWUT 2023.
Aug 2023, Our paper entitled "ACF: An Adaptive Compression Framework for Multimodal Network in Embedded Devices" was accepted by IEEE Transactions on Mobile Computing.
May 2023, Join in Tianjin University
Dec 2022, Our paper entitled "Application-oriented Privacy Filter for mmWave Radar" was accepted by IEEE Communications Magazine.
Dec 2022, Our paper entitled "Multiset Tag Searching Protocol for Multi-Category RFID Systems" was accepted by IEEE Internet of Things Journal.
June 2022, Our paper entitled "Efficient Integrity Authentication Scheme for Large-scale RFID Systems" was accepted by IEEE Transactions on Mobile Computing.
🎓 Experiences 经历
May. 2023 - Now | College of Intelligence and Computing, Tianjin University, Associate professor
2023年5月 - 现在 | 天津大学，智能与计算学部, 副教授Mar. 2022 - Apr. 2023 | Theory Lab, Huawei 2012 laboratory HKRC, Researcher
2022年3月 - 2023年4月 | 华为2012实验室，香港研究所理论部, 研究员Sep. 2019 - Mar. 2022 | Department of Computing, PolyU, Postdoctoral Fellow
2019年9月 - 2022年3月 | 香港理工大学，电子计算学系, 博士后研究员
📘 Publications 论文
Five Representive Publications 代表论文
Frequency-and Orientation-related Phase Fingerprints for RFID Tag Authentication (opens new window)
K Zhang, J Zhang, X Xie*, X Tong, X Liu, K Li
In Proceedings of IEEE SECON 2022, CCF-B, best paper candidate
Contribution: We are the first to uses the phase values of tags at different frequencies and orientations to construct physical-layer fingerprints to eliminate the influence of environmental factors.
Federated unlearning via class-discriminative pruning (opens new window)
J Wang, S Guo, X Xie*, H Qi
In Proceedings of ACM Web Conference 2022, CCF-A
Contribution: We are the first to uses the channel pruning to achive class-level unlearning solution in federated learning scenario.
Protect Privacy from Gradient Leakage Attack in Federated Learning (opens new window)
J Wang, S Guo, X Xie*, H Qi
In Proceedings of IEEE INFOCOM 2022, CCF-A
Contribution: We present a novel defense method, whose intuition is perturbing gradients to match information leakage risk such that the defense overhead is lightweight while privacy protection is adequate.
A Lightweight Integrity Authentication Approach for RFID-enabled Supply Chains (opens new window)
X Xie, X Liu, S Guo, H Qi, K Li
In Proceedings of IEEE INFOCOM 2021, CCF-A
Contribution: We present a lightweight tag group authentication method, which can store fingerpirnt on certain key tag memory for effective tag authentication.
Implementation of differential tag sampling for COTS RFID systems (opens new window)
X Xie, X Liu, X Zhao, W Xue, B Xiao, H Qi, K Li, J Wu
In Proceedings of IEEE trans. on Mobile Computing 2020, CCF-A
Contribution: We present a C1G2-compliant method to support customized sampling method for handling a number number of tracked items with varying values.
🔎 Projects 研究
[PI]: Research on Cloud Edge Collaborative Machine Learning Technology for the Internet of Things, Funding source: Tianjin University Key R&D for technological breakthroughs, 2023XJS-0065,2023-2023.
[PI]: Multimodal Perception Technology for the Internet of Things, Funding source: Tianjin University Start-Up Funds, 2023-2025.
[Participant]: Research on Cloud Edge Collaborative Learning Architecture and Key Optimization Theory, Funding source: Shenzhen Science and Technology Innovation Commission, Fundamental Research Project, No.JCYJ20200109142008673, 2021-2023.
[Participant]: Reliability Analysis of In-vehicle Network, Funding source: Huawei, 2022-2023.
[Participant]: Lightweight Network Measurment on resouce-limited devices, Funding source: Huawei, 2022-2023.
🎖 Awards & Honors 荣誉
- Best paper candidate of IEEE SECON 2022
IEEE SECON 最佳论文提名 - Postdoctroal Fellowship Scheme of the Hong Kong Polytechnic University
香港理工大学博士后奖学金计划 - Outstanding Ph.D.Thesis of the Dalian University of Technology
大连理工大学优秀博士论文 - National Scholarship of undergradate & graduate student
本科&博士 国家奖学金 - Excellent Graduate of Liaoning Province
辽宁省优秀毕业生