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Zhu, Xiaoqiang (朱晓强)

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Lecturer, PhD
School of Software Engineering,
Beijing Jiaotong University,
Haidian District,
Beijing, China
E-mail: xqzhu@bjtu.edu.cn

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 the jointly doctoral student of ETH Zurich, Switzerland with CSC funding in 2021.
I am currently a Lecturer with the School of Software Engineering, Beijing Jiaotong University, China. My main research interests include Machine Learning, Deep Learning and Internet of Things. Also, I do some research about Computer Vision, such as encryption algorithms based on chaos theory. I focus on using AI to solve practical problems.

Education

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

  • Wins the 1st place in the entrance examination

  • 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

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

  • The state-sponsored student with financial support by 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”

Competitions and awards

  • National Funding Postdoctoral Researcher Program, China Postdoctoral Science Foundation, 2023

  • Youth Talent Cultivation Program, Beijing Jiaotong University, 2023

  • China Scholarship Council, Ministry of Education of the People’s Republic of China, 2021

  • Outstanding Volunteer, 2020 IEEE International Conference on Smart Internet of Things, 15.8.2020

  • Outstanding Volunteer, 2019 IEEE International Conference on Smart Internet of Things, 10.8.2019

  • 2nd Award Postgraduate Scholarship, Tianjin University, 2019

  • Outstanding Postgraduate Student, Dalian University of Technology, 2018

  • 1st Award Postgraduate Scholarship, Dalian University of Technology, 2017

  • Outstanding Postgraduate Student, Education fund item of Liaoning province, 2016

  • National Inspirational Scholarship, Ministry of Education of the People’s Republic of China, 2015

Research

My research interests include:

  • Machine Learning

  • Mobile Computing and Sensing

  • Internet of Things

  • Computer Vision

Current work

  • Reinforcement Learning for Path Planning

  • Privacy Protection

  • Integrated Sensing and Communication

Funding

  • 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，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，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，主持

Under review

  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, Major Revision.

  2. [2区] 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 MultiMedia, 2023.

  3. [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, Minor Revision.

Recent publications

  1. [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.

  2. [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.

  3. [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.

  4. [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.

  5. [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.

  6. [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.

  7. [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.

  8. [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.

  9. [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.

Full list of publications in Google Scholar.

Grant patents

  1. X. Zhu, J. Liu, L. Lu. "A Path Planning Method for Constructing CSI Fingerprint Map Based on Reinforcement Learning", No. 202310874838.2, 2023.

  2. X. Zhu, J. Liu, D. Zhang. "An Intelligent Adaptive CSI Fingerprint Map Update Method Based on Imitation Learning", No. 202310775481.2, 2023.

  3. T. Qiu, X. Zhu, W. Qu. "An Incremental Intelligent Indoor Location Method Based on CSI Image", No. CN113691940A, 2022.09.27.

  4. T. Qiu, X. Zhu, W. Qu. "An Efficient Indoor Fingerprint Location Method Based on Broad Learning", No. CN111929641A, 2022.08.09.

  5. T. Qiu, H. Huang, X. Zhou, C. Zhang, X. Zhu. "Heart Rate Monitoring and Respiratory Event Detection Method Based on Channel State Information", No. 202210661544.

  6. T. Qiu, C. Wu, L. Zhao, K. Li, X. Zhu. "A Fast And High-precision Indoor Fingerprint Location Method based on Ensemble Broad Learning", No. 202110866814.

Academic service

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

  • IEEE Access

  • Information Sciences

  • Nonlinear Dynamic

  • IET Signal Processing

  • Optics and Lasers in Engineering

  • IEEE SmartIoT’ 2019‑2022, IEEE CSCWD’ 2020‑2021, IEEE IWQoS’ 2020

PC Member and Session Chair

  • Responsibility for the track “Smart Sensor Networks and Internet of Things” of 2020 IEEE CSCWD.

  • Responsibility for the special session “Artificial Intelligence, Machine learning and Evolutionary Computing” of 2019 IEEE SmartIoT.

Supervising and Mentoring Activities

Lecture Course

  • Data Structure, M310002B.

  • Professional Course Comprehensive Practical Training I, P210001B.

  • Introduction to Internet of Things.

Huawei Project "HUAWEI Ascend: Atlas Intelligent Edge Platform", 08.2021 - 08.2022

  • The Huawei Atlas artificial intelligence computing solution uses modules, boards, small stations, servers, clusters and other rich product forms to create a full-scenario AI for "end, edge, and cloud" infrastructure solution, covering the whole process of reasoning and training in the field of deep learning.

Master Thesis, 09.2017 - 09.2021

  • Chen Wu, B.Sc., College of Intelligence and Computing, Tianjin University, Project: “Research on Indoor Fingerprint Location Method Based on Data Fusion and Broad Learning”.

  • Ziyu Xie, B.Sc., College of Intelligence and Computing, Tianjin University, Project: “Research on Indoor Intelligent Localization Based on Broad Learning System Utilizing Ensemble Strategy”.

  • Yu Wang, B.Sc., Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Project: “Research on Chaotic Image Encryption Based on One‑time Pad and Region Partition”.

  • Junjian Zhang, B.Sc., Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Project: “Two Image Encryption Algorithms Based on F‑Y Scrambling and Z‑Z Scrambling”.

Teaching Assistant, 09.2017 - 06.2018

  • Dalian University of Technology, Undergraduate Teaching, Spring Semester 2018: Design and Practice of Analog Circuit.

  • Dalian University of Technology, Undergraduate Teaching, Fall Semester 2017: Digital Logic Circuit.

College Students "Innovative Entrepreneurial Training Plan Program", 05.2017 - 08.2018

  • Yating Wu, Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Project: “Image Encryption Algorithm Based on Multiple Hash and Random Cyclic Shift”.

  • Bin Yi, Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Project: “Design of symmetric cryptography system based on new space‑time chaos”.