Dr. Zhigang Yang is an Associate Professor and Master's Advisor at the School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications (CQUPT). He holds a Ph.D. and is a Senior Member of the IEEE as well as a Senior Member of the China Computer Federation (CCF). Deeply engaged in the fields of edge intelligence and privacy protection, Dr. Yang has directed and participated in 9 national and provincial/ministerial-level projects, led 6 industry-sponsored projects, and contributed to the development of 8 IEEE international standards. He holds 10 authorized invention patents and has been honored with the First Prize from the China Association of Inventions and the Second Prize for Teaching Achievements in Chongqing. He has published two textbooks and monographs, including Discrete Mathematics and Computer Information Security Technology. Furthermore, he has authored over 30 papers in top-tier domestic and international journals, such as IEEE JSAC, Information Fusion, IEEE TII, IEEE IoT J, and the Journal of Electronics & Information Technology. Dr. Yang also serves as a reviewer for journals like IEEE TVT and IEEE IoT J, and is an editorial board member for the international journals Scientific Reports and ELSP Block Chain.

1. Research Publications

[1] Yang Z., Cao X., Wang H., et al. "VRIL: A Tuple Frequency-based Identity Privacy Protection Framework for Metaverse." IEEE Journal on Selected Areas in Communications, 2023, 42(4): 933-947. doi: 10.1109/JSAC.2023.3345425. (CAS Q1 Top Journal) 

[2] Yang Z., Wang R., Wu D., et al. "Local trajectory privacy protection in 5G enabled industrial intelligent logistics." IEEE Transactions on Industrial Informatics, 2021, 18(4): 2868-2876. (CAS Q1 Top Journal) 

[3] Yang Z., Wang R., Wu D., et al. "Blockchain-enabled trust management model for the Internet of Vehicles." IEEE Internet of Things Journal, 2021, 10(14): 12044-12054. (CAS Q1 Top Journal)

 [4] Yang Z., Zhang X., Wu D., et al. "Efficient Asynchronous Federated Learning Research in the Internet of Vehicles." IEEE Internet of Things Journal, 2022, 10(9): 7737-7748. (CAS Q1 Top Journal) 

[5] Yang Z., Wang Z., Wu D., Wang R., Wu Y., Lü Y. "Research on Robust Federated Learning with Privacy Protection in the Internet of Things." Journal of Electronics & Information Technology, 2023, 45(12): 4235-4244. (Authoritative Domestic Journal)

 [6] Wang R., Yuan X., Yang Z., et al. "RFLPV: A robust federated learning scheme with privacy preservation and verifiable aggregation in IoMT." Information Fusion, 2024, 102: 102029. (CAS Q1 Top Journal) 

[7] Wu D., Yang Z., Zhang P., et al. "Virtual-Reality Interpromotion Technology for Metaverse: A Survey." IEEE Internet of Things Journal, 2023, 10(18): 15788-15809. (CAS Q1 Top Journal) [8] Wu D., Han X., Yang Z., et al. "Exploiting Transfer Learning for Emotion Recognition Under Cloud-Edge-Client Collaborations." IEEE Journal on Selected Areas in Communications, 2021, 39(2): 479-490. (CAS Q1 Top Journal)

2. Awards & Honors

[1] First Prize, Invention and Innovation Award, China Association of Inventions, for "Innovative Research and Application of Key Technologies for Multi-scenario Big Data Governance and Monitoring," 2022. [2] Excellence Award, Industry-Academia-Research Cooperation Innovation Achievement Award, China Industry-University-Research Institute Collaboration Association, for "Industry-Academia-Research Development and Application of an Intelligent Diagnostic Analysis Platform Based on Healthcare Big Data," 2019.

[3] Third Prize, 2023 Sichuan-Chongqing Science and Technology Academic Conference (co-hosted by Chongqing Association for Science and Technology and Sichuan Association for Science and Technology), for the paper "Efficient Asynchronous Federated Learning Research in the Internet of Vehicles," 2023. [4] Second Prize, Invention and Entrepreneurship Award, China Association of Inventions, for "R&D and Application of Key Technologies for Intelligent Diagnostic Analysis of Healthcare Big Data," 2020. [5] Chongqing Talents Innovation and Entrepreneurship Demonstration Team, awarded by the Organization Department of the CPC Chongqing Municipal Committee and the Chongqing Human Resources and Social Security Bureau, for "Healthcare Big Data Intelligent Platform Technology and Service Innovation and Entrepreneurship Team," 2019. [6] Outstanding Achievement Award, Huawei-Ministry of Education Industry-Academia Cooperative Education Project, Huawei Technologies Co., Ltd., 2017.

3. Research Projects

[1] "White Paper on the Integrated Development of Industrial Internet Identifier Resolution and the Virtual Reality Industry," China Academy of Information and Communications Technology (CAICT). 

[2] "Research and Implementation of a Blockchain-based QR Code Anti-counterfeiting and Traceability System," Science and Technology Research Program of the Chongqing Municipal Education Commission (Grant No. KJQN201801316). 

[3] "Research on the ECall Application Prototype for the Internet of Vehicles," China Mobile IoT Company Limited. 

[4] "2023 Scientific and Technical Services for High-Value Data Secure Storage Methods and Recovery Technologies," Electric Power Research Institute of State Grid Chongqing Electric Power Company. 

[5] "Research on Trustworthy Identification and Privacy Protection of Visual Identity Big Data," National Natural Science Foundation of China (NSFC) Joint Fund Project (Grant No. U22A20102), 2023.01.01 – 2026.12.31. (Ongoing, Participant).

I have always adhered to the philosophy of rigorous academic pursuit, immersive research exploration, unwavering ethical integrity, and compassionate student mentorship. To strengthen students’ competitiveness in the AI-driven job market, I have strategically pivoted my research focus toward artificial intelligence in recent years. When a student from the graduating class of 2026 was indecisive between internship offers from ByteDance and Galaxy Universal, I provided tailored guidance by aligning industry dynamics—including the surging demand for Vision-Language-Action (VLA) engineers—with his career aspirations. I meticulously revised his resume to highlight technical prowess and project impact, organized simulated interviews to refine his presentation skills, and conducted personalized debrief sessions to boost his confidence. Ultimately, these efforts enabled him to secure multiple high-profile offers as a VLA engineer from leading tech firms, with packages exceeding ¥400,000 in annual compensation. This experience underscores my commitment to bridging academic excellence with real-world success, preparing students not just for research but for thriving careers at the forefront of AI innovation.