🧑‍🏫 About me

I received the Ph.D. degree in software engineering from Tianjin University, China, in 2022, and the M.S. degree in computer science from Dalian University of Technology, China, in 2018. I was a jointly doctoral student at ETH Zurich, Switzerland with CSC funding in 2021.

I am currently a Lecturer with the School of Cyberspace Science and Technology, Beijing Jiaotong University, China. My primary research interests lie in Machine Learning, Privacy Protection, and the Internet of Things (IoT). Additionally, I engage in research related to Computer Vision, focusing on encryption algorithms based on chaos theory. My passion for leveraging artificial intelligence to address and solve real-world problems drives my work.

I am committed to fostering collaboration and knowledge sharing within the academic community and beyond. By integrating interdisciplinary approaches, I strive to contribute to the evolution of intelligent systems and their applications in solving complex challenges.

🔥 News

• 2024.10: 🎉🎉 Good news! My paper has been accepted by IEEE TBD.
• 2024.10: I have been exceptionally selected as a master's supervisor.
• 2024.10: 🎉🎉 Good news! One of our team's papers has been accepted by IEEE SmartIoT, and two papers have been accepted by IEEE MSN (CCF C).
• 2024.08: 🎉🎉 Good news! I have been awarded a grant under the National Natural Science Foundation of China, Youth Program.
• 2024.07: 🎉🎉 Good news! My paper has been accepted by IEEE COMST, the highest impact factor (35.6) in all the IEEE journals.
• 2024.06: 🎉🎉 Good news! I have been awarded a grant under the National Postdoctoral Program.
• 2024.05: I have supervised five groups of students on undergraduate innovation and entrepreneurship projects, covering areas such as signal prediction and sensing, behavior recognition, and cryptographic system design.
• 2024.03: 🎉🎉 Good news! Received the minor version from IEEE COMST.
• 2024.02: 🎉🎉 I have been awarded a key project grant from the Shandong Academy of Sciences Open Project.
• 2024.01: 🎉🎉 I have received recognition for the Excellent Completion of the Ministry of Education's Teaching Reform Project, Rank 2.

Show more news

• 2023.12: 🎉🎉 I have been awarded a grant under the National Postdoctoral Program for Innovative Talents.
• 2023.09: I am going to open sources of the activity recognition datasets, it includes running, jumping, walking, sit down, pick up, etc. More than 10 different kinds of activities.
• 2023.06: I finished the first research at Beijing Jiaotong University, which focuses on privacy protection.
• 2023.03: 🎉🎉 I have been selected for the Beijing Jiaotong University Youth Talent Cultivation Program, Class II.
• 2023.02: 🎉🎉 I started working as a lecturer at the School of Software Engineering, Beijing Jiaotong University. I am looking forward to the future with great anticipation.
• 2022.12: 🎉🎉 I finished my PhD thesis defense.
• 2022.04: I left the ETH Zurich. I want to express my most sincere gratitude for the great support, understanding, and involvement in the lab.
• 2022.03: I decided to make all the datasets and codes open sources of my PhD research, I hope they could be helpful to everyone. You can find them at my Github.
• 2022.03: 🎉🎉 Good news! My paper has been accepted by IEEE TNSE.
• 2021.11: 🎉🎉 Good news! My paper has been accepted by IEEE TMC.
• 2021.04: I got my work contract and was going to study at ETH Zurich for one year.

📖 Educations

Ph. D., Software Engineering, Tianjin University, China, 09.2018 - 12.2022

• Member of Tianjin Key Laboratory of Advanced Networking, supervised by Prof. Tie Qiu and Prof. Wenyu Qu
• Research Topic: Artificial Intelligence, Internet of Things, Indoor Localization
• Thesis Title: “Lightweight Intelligent Indoor Localization Algorithm Based on CSI Fingerprint Signal”

Jointly Doctoral Student, Computer Science, ETH Zurich, Switzerland, 04.2021 - 04.2022

• The state-sponsored student with financial support from China Scholarship Council
• Member of D-ITET Center for Integrated Systems Laboratory, supervised by Dr. Michele Magno and IEEE/ACM Fellow. Prof. Luca Benini
• Project: “mmWave Sensors For Indoor Localization and Tracking”

M.S., Computer Science, Dalian University of Technology, China, 09.2016 - 07.2018

• Postgraduate Recommendation, supervised by Prof. Xingyuan Wang (World’s Top 2% Scientists)
• Research Topic: Image Processing, Encryption Algorithm, Chaos Theory
• Thesis Title: “Image Encryption Algorithm Based on Multiple Mixed Hash Functions”

🎓 Fundings

• 国家自然科学基金——青年科学基金项目，基于生成式网络的智能信道状态信息通感模型研究，NO. 62401037，30万，2025-2027，主持
• 中国博士后科学基金——面上项目，面向信道状态信息的轻量级智能通感一体化关键技术研究，No. 2024M750166，8万，2024-2026，主持
• 国家资助博士后研究人员计划，面向安全应用的智能通感一体化关键技术研究，No. GZC20230224，24万，2024-2025，主持
• 山东省科学院开放课题重点项目，面向智能通感算融合网络的关键技术研究，No. 2023ZD039，10万，2024-2026，主持
• 北京交通大学自然科学类人才基金项目，面向无线信号的智能感知鲁棒性与安全性研究，No. 2023XKRC016，20万，2023-2026，主持

📝 Publications

Published Papers

1. [2区] X. Zhu, W. Qu, T. Qiu, et al. "Dynamic Radio Map Construction with Minimal Manual Intervention: A State Space Model-Based Approach with Imitation Learning", IEEE TBD, 2024, 1-13, DOI: 10.1109/TBDATA.2024.3489425

2. [CCF C] S. Hu, C. Zhang, J. Liu, X. Zhu*, L. Li. "Proto-CSNet: A Prototype Network Model Integrating CNN and Self-Attention for Enhanced Human Activity Recognition", IEEE MSN, 2024. Accept

3. [CCF C] M. Zhang, L. Lu, X. Zhu*, L. Li, R. Gao. "DBLG: An Innovative Deep-Broad Learning and GAN Framework for CSI Fingerprint Database Refinement", IEEE MSN, 2024. Accept

4. X. Zhu, J. Liu, D. Zhang, et al. "Enhancing Patient Privacy in IoT-Enabled Intelligent Medical Systems: A Deep and Broad Learning-Based Efficient Encryption Network", IEEE SmartIoT, 2024. Accept

5. [1区, IF: 35.6] X. Zhu, J. Liu, L. Lu, et al. "Enabling Intelligent Connectivity: A Survey of Secure ISAC in 6G Networks", IEEE COMST, 2024, 1-34, DOI: 10.1109/COMST.2024.3432871.

6. [CCF A] X. Zhu, T. Qiu, W. Qu, et al. "Path Planning for Adaptive CSI Map Construction with A3C in Dynamic Environments", IEEE TMC, 2023. 22(5): 2925-2937.

7. [CCF A] X. Zhu, T. Qiu, W. Qu, et al. "BLS-Location: A Wireless Fingerprint Localization Algorithm Based on Broad Learning", IEEE TMC, 2023. 22(1): 115-128.

8. [2区] X. Zhu, W. Qu, X. Zhou, et al. "Intelligent Fingerprint-based Localization Scheme using CSI Images for Internet of Things". IEEE TNSE, 2022, 9(4): 2378-2391.

9. [1区, IF: 35.6] X. Zhu, W. Qu, T. Qiu, et al. "Indoor intelligent fingerprint‑based localization: Principles, approaches and challenges", IEEE COMST, 2020, 22(4): 2634‑2657.

10. [2区] X. Wang, Y. Wang, X. Zhu, et al. "A novel chaotic algorithm for image encryption utilizing one-time pad based on pixel level and DNA level", Opt Lasers Eng, 2020, 125: 105851.

11. [2区] X. Wang, Y. Wang, X. Zhu, et al. "Image encryption scheme based on Chaos and DNA plane operations", Multimed Tools Appl, 2019, 78(18): 26111‑26128.

12. [2区] X. Wang, X. Zhu, X. Wu, et al. "Image encryption algorithm based on multiple mixed hash functions and cyclic shift", Opt Lasers Eng, 2018, 107: 370‑379.

13. [2区] X. Wang, X. Zhu, Y. Zhang, et al. "An image encryption algorithm based on Josephus traversing and mixed chaotic map", IEEE Access, 2018, 6: 23733‑23746.

14. [CCF A] 王春鹏, 王兴元, 张川, 朱晓强, 夏之秋. "基于三元数极谐-Fourier矩和混沌映射的立体图像零水印算法",中国科学：信息科学, 2018, 1: 79‑99.

Under Review Papers

1. [1区] X. Zhu, J. Liu, T. Zhang, et al. "CPPU: Policy Space Diversity for Informative Path Planning and GAI-enabled Updating CSI in ISAC", IEEE TCCN, 2024, Minor Revision.

2. [CCF C] A. Hussain, Y. Ding, X. Zhu*, A. Ullah. "DualStream-Attention Network for Optimizing Latency, Throughput, and SNR Prediction in Indoor Wireless Networks", IEEE WCNC, 2024.

3. [CCF A] R. Gao, Z. Xie, H. Zhao, X. Zhu*, et al. "Energy-Efficient Transmission Scheduling with Guaranteed Data Imputation in MHealth Systems", IEEE ToN, 2024.

4. [CCF A] 张皓文, 朱晓强*, 张焘, 等. "CreChain实现IIoT高效安全交易：一种基于信用机制的分布式账本模型", 中国科学：信息科学, 2024. 大修

Grant Patents

1. 朱晓强, 胡思宇, 刘吉强, 等. "一种基于融合注意力机制原型神经网络的人体行为识别方法", 2024.

2. 朱晓强, 张明博, 鲁凌云, 等. "一种基于深度与宽度学习的CSI指纹数据库优化方法", 2024.

3. 朱晓强, 刘吉强, 鲁凌云, 等. "一种基于强化学习的CSI指纹地图构建的路径规划方法", No. 202310874838.2, 2023.

4. 朱晓强, 刘吉强, 张大林, 等. "一种基于模仿学习的智能自适应CSI指纹地图更新方法", No. 202310775481.2, 2023.

5. 邱铁, 朱晓强, 曲雯毓. "一种基于CSI图像的增量式智能室内定位方法", No. CN113691940A, 2022.09.27.

6. 邱铁, 朱晓强, 曲雯毓. "一种基于宽度学习的快速室内指纹定位方法", No. CN111929641A, 2022.08.09

7. 邱铁, 黄慧娟, 周晓波, 张朝昆, 朱晓强. "基于信道状态信息的心率监测方法及呼吸事件检测方法", No. 202210661544.

8. 邱铁, 吴琛, 赵来平, 李克秋, 朱晓强. "一种基于集成宽度学习的快速高精度室内指纹定位方法", No. 202110866814.

🎖 Honors and Awards

• 2023 National Funding Postdoctoral Researcher Program, China Postdoctoral Science Foundation
• 2023 Youth Talent Cultivation Program, Beijing Jiaotong University
• 2021 China Scholarship Council, Ministry of Education of the People’s Republic of China
• 2020 Outstanding Volunteer, 2020 IEEE International Conference on Smart Internet of Things
• 2019 Outstanding Volunteer, 2019 IEEE International Conference on Smart Internet of Things
• 2019 1st Award Postgraduate Scholarship, Tianjin University
• 2018 Outstanding Postgraduate Student, Dalian University of Technology
• 2017 1st Award Postgraduate Scholarship, Dalian University of Technology
• 2016 Outstanding Postgraduate Student, Education fund item of Liaoning province
• 2015 National Inspirational Scholarship, Ministry of Education of the People’s Republic of China

💻 Academic Services

Guest Editor

• Journal on Wireless Communications and Networking, Special Issue: Integrating Large Models and Edge Sensing in Next Generation Networks.

Reviewer

• IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, IEEE Transactions on Communications, IEEE Transactions on Network Science and Engineering, IEEE MultiMedia, Information Sciences, Nonlinear Dynamic, IET Signal Processing, Optics and Lasers in Engineering, The Journal of Supercomputing, Peer-to-Peer Networking and Applications, China Communications.
• IEEE SmartIoT’ 2019‑2022, IEEE CSCWD’ 2020‑2021, IEEE IWQoS’ 2020, IEEE iThings’ 2023.

PC Member and Session Chair

• IEEE CSCWD 2020, IEEE SmartIoT 2019

🏫 Supervising and Mentoring Activities

• Data Structure, M310002B
• Professional Course Comprehensive Practical Training I, P210001B
• Cloud Computing and Big Data Platform Analysis, M510014B
• Software Testing, M310007B

🧑‍💻 Students

• 张明博 (2023级硕)
• 胡思宇 (2023级硕)
• 任城仪 (2023级硕)