Professor at Tianjing University 天津大学教授
👤 About Me 个人简介
I am currently a Professor at the College of Intelligence and Computing (opens new window), Tianjin University, a position I have held since 2025. Prior to this, I served as an Associate Professor at Tianjin University from 2023 to 2024. Before joining academia, I was a Researcher at Huawei 2012 Laboratories' Hong Kong Theory Lab (2022-2023) and a Postdoctoral Fellow at the PEIlab (opens new window) of The Hong Kong Polytechnic University (2019-2022). I earned both my Ph.D. (2019) and B.Eng. (2013) degrees in Computer Science from Dalian University of Technology.
My research area includes Internet of Things(IoT) and Edge AI, with a particular focus on Mobile Sensing, and Federated learning.
🔥 News 近况
📢 📢 📢 In 2026, We have some positions for 1 PhD Student, and 3 Master students to work on multiple research projects realted to Mobile Sensing and AI Security. Drop me an email with your complete CV if you are interested. Candidates with strong programming and mathematics backgrounds are preferred.
May 2025, Our paper entitled "STAGR: Simultaneous Tracking and Gait Recognition with Commodity Wi-Fi" was accepted by IEEE Transactions on Mobile Computing.
Apr 2025, Our paper entitled "Multi-user Behavioral Privacy Filtering for mmWave Radar Sensing" was accepted by IEEE Transactions on Mobile Computing.
Apr 2025, Our paper entitled "MHTrack: mmWave-based Mobile Hand Tracking" was accepted by IEEE Transactions on Mobile Computing.
Mar 2025, Our paper entitled "AMRE: Adaptive Multilevel Redundancy Elimination for Multimodal Mobile Inference"* was accepted by IEEE Transactions on Mobile Computing.
Sep 2024, Our paper entitled "Fork: A Dual Congestion Control Loop for Small and Large Flows in Datacenters"* was accepted by EuroSys 2025.
May 2024, Our paper entitled "A Wireless Signal Correlation Learning Framework for Accurate and Robust Multi-modal Sensing" was accepted by IEEE Journal on Selected Areas in Communications.
Apr 2024, Our paper entitled "Exploring Amplified Heterogeneity Arising from Heavy-Tailed Distributions in Federated Learning" was accepted by IEEE Transactions on Mobile Computing.
Apr 2024, Our paper entitled "Enabling 6D Pose Tracking on Your Acoustic Devices" was accepted by ACM MobiSys 2024.
Feb 2024, Our paper entitled "Accurate Localization in LOS/NLOS Channel Coexistence Scenarios Based on Heterogeneous Knowledge Graph Inference" was accepted by ACM Transactions on Sensor Networks
🎓 Experiences 经历
Jan. 2025 - Now | College of Intelligence and Computing, Tianjin University, Professor
2025年1月 - 现在 | 天津大学，智能与计算学部, 教授May. 2023 - Dec. 2024 | College of Intelligence and Computing, Tianjin University, Associate professor
2023年5月 - 2024年12月 | 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Aug. 2017 - July. 2018 | Department of Computer Science, Pudure Univesity, Visiting scholar
2017年8月 - 2018年7月 | 普渡大学，计算机系, 访问学者
📘 Publications 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.
🔎 Projects 研究
[PI]: Robust Human Sensing Technology Based on Sparse Mobile Devices, Funding source: National Natural Science Foundation of China (NSFC), Youth Science Fund, No.62402336, 2025-2027.
[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.
🎖 Awards & Honors 荣誉
- Best Paper Award of IEEE ICPADS 2023
IEEE ICPADS 最佳论文 - 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