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
📢 📢 📢 In 2024, We have some positions for 1 PhD Student, and 3 Master students to work and have fun together on multiple research projects. Drop me an email with your complete CV if you are interested. Candidates with strong programming and mathematics backgrounds are preferred.
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
Oct 2023, Our paper entitled "VibCamera: mmWave and Camera Fusion for Multi-Point Vibration Monitoring" was accepted by ICPADS 2023.
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
🎓 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 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 - 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