01Generative AI
About Me
I am a first-year Ph.D. student in the Department of Computer Science at City University of Hong Kong, advised by Prof. Man Hon Cheung. I received my M.Eng. in Computer Science and Technology from Nanjing University of Aeronautics and Astronautics, advised by Prof. Yang Zhang, and my B.Eng. in Data Science and Big Data Technology from Guangdong University of Technology, where I was advised by Prof. Jiawen Kang.
My research explores how generative AI models, optimization, and incentive mechanisms can make next-generation wireless and networked systems more intelligent, efficient, and trustworthy. Current topics include LLM agents for network optimization, generative AI models for mechanism design, digital-twin migration, and blockchain networking.
If you have any questions or are interested in collaborating with me, please feel free to contact me (E-mail: jinbo1608@163.com). ^_^
02Mechanism Design
03Future Networks
News
One paper has been accepted to EMNLP 2026 (CCF-B) as a main conference paper (acceptance rate: 15.4%).
Selected for the Starship Plan （星航计划） as an Outstanding Graduate Student （卓越研究生） by the Journal of Electronics & Information Technology （《电子与信息学报》）.
Named an Outstanding Graduate of Nanjing University of Aeronautics and Astronautics.
Our work on HybridRAG-based LLM agents was published in IEEE TMC (CCF-A).
Our diffusion-based dynamic contract work was published in IEEE TSC (CCF-A).
Received the Outstanding Paper First Prize （一等奖） from the Guangdong–Hong Kong–Macao Greater Bay Area Society of Artificial Intelligence and Automation （粤港澳大湾区人工智能与自动化学会）.
Received the Outstanding Paper Second Prize （二等奖） from the Guangdong Computer Academy （广东省计算机学会）.
Received the Puxin Jingying Scholarship of Nanjing University of Aeronautics and Astronautics, awarded to only 10 students university-wide.
Named an Outstanding Graduate of Guangdong University of Technology.
Education
Sep. 2026 – Sep. 2030
City University of Hong Kong
Ph.D. in Computer Science · Hong Kong, China
Advisor: Prof. Man Hon CheungSep. 2023 – Apr. 2026
Nanjing University of Aeronautics and Astronautics
M.Eng. in Computer Science and Technology · Nanjing, China
GPA: 4.09/5.0 · Advisor: Prof. Yang ZhangSep. 2019 – Jun. 2023
Guangdong University of Technology
B.Eng. in Data Science and Big Data Technology · Guangzhou, China
GPA: 4.21/5.0 (Top 2%) · Advisor: Prof. Jiawen Kang
Research Experience
Research Assistant
MetaXlab, Guangdong University of Technology
Advisor: Prof. Jiawen Kang
- LLM agents and generative diffusion models for network optimization and incentive mechanism design.
- Secure and efficient digital-twin and AI-agent migration in vehicular metaverses.
- Graph learning, game theory, and optimization for block propagation in blockchain networks.
01
15 papers
First / Co-first-author Papers
2026
HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks
IEEE Transactions on Mobile Computing, 25(5):6547–6562
2026
Diffusion-based Dynamic Contract for Federated AI Agent Construction in Mobile Metaverses
IEEE Transactions on Services Computing, 19(3):2058–2074
2026
LMM-Incentive: Large Multimodal Model-based Incentive Design for User-Generated Content in Web 3.0
ACM Transactions on Multimedia Computing, Communications, and Applications, accepted
2026
MedAlign: A Synergistic Framework of Multimodal Preference Optimization and Federated Meta-Cognitive Reasoning
IEEE Internet of Things Journal, 13(16):35923-35935
2026
Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study
IEEE Wireless Communications, 33(3):159–168
2025
Optimal AoI-based Block Propagation and Incentive Mechanism for Blockchain Networks in Web 3.0
IEEE Transactions on Cognitive Communications and Networking, 11(4):2568–2583
2025
Sustainable Diffusion-based Incentive Mechanism for Generative AI-driven Digital Twins in Industrial Cyber-Physical Systems
IEEE Transactions on Industrial Cyber-Physical Systems, 3:139–149
2025
Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models
IEEE Internet of Things Magazine, 8(1):82–91
2024
Diffusion Model-based Incentive Mechanism with Prospect Theory for Edge AIGC Services in 6G IoT
IEEE Internet of Things Journal, 11(21):34187–34201
2024
From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks
IEEE Internet of Things Magazine, 7(3):30–37
2024
Graph Attention Network-based Block Propagation with Optimal AoB and Reputation in Web 3.0
IEEE Transactions on Cognitive Communications and Networking, 10(6):2427–2441
2024
Learning-based Big Data Sharing Incentive in Mobile AIGC Networks
2024 IEEE Global Communications Conference (GLOBECOM), 3667–3672
2023
Freshness-aware Incentive Mechanism for Mobile AI-Generated Content (AIGC) Networks
2023 IEEE/CIC International Conference on Communications in China (ICCC), 1–6
2023
Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses
2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), 481–487
2022
Optimal Block Propagation and Incentive Mechanism for Blockchain Networks in 6G
2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 369–374
02
7 papers
Representative Collaborative Papers
2026
RVSD: Retrieval Vision Sparse Decoding for Mitigating Visual Hallucinations in Large Vision-Language Models
The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026)
2026
ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
IEEE Transactions on Information Forensics and Security, 21:5017–5030
2026
Multi-Agent DRL for Multi-Objective Twin Migration Routing with Workload Prediction in 6G-enabled IoV
IEEE Transactions on Mobile Computing, 25(8):12222-12236
2025
Generative Diffusion-Based Contract Design for Efficient AI Twin Migration in Vehicular Embodied AI Networks
IEEE Transactions on Mobile Computing, 24(5):4573–4588
2025
Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach
IEEE Transactions on Mobile Computing, 24(12):12756–12770
2025
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses
IEEE Transactions on Services Computing, under review
2024
Blockchain-Empowered Federated Learning for Healthcare Metaverses: User-Centric Incentive Mechanism with Optimal Data Freshness
IEEE Transactions on Cognitive Communications and Networking, 10(1):348–362
Honors & Awards
Starship Plan Outstanding Graduate Student （星航计划卓越研究生） — selected as one of 11 recipients by the Journal of Electronics & Information Technology （《电子与信息学报》）.
Outstanding Graduate of Nanjing University of Aeronautics and Astronautics
National Scholarship
Merit Graduate of Nanjing University of Aeronautics and Astronautics
Outstanding Paper First Prize, Guangdong–Hong Kong–Macao Greater Bay Area Society of Artificial Intelligence and Automation （粤港澳大湾区人工智能与自动化学会）
Outstanding Paper Second Prize, Guangdong Computer Academy （广东省计算机学会）
Puxin Jingying Scholarship of Nanjing University of Aeronautics and Astronautics — awarded to only 10 students university-wide.
Best Paper Award, IEEE International Conference on Distributed Computing Systems (IEEE ICDCS) Workshops 2023
Outstanding Graduate of Guangdong University of Technology
Undergraduate Thesis Innovation Award
Invited Talks
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Generative AI-Empowered Optimization for Low-Altitude Economy Networks
Invited by the Young Scientists Association of the School of Navigation, Wuhan University of Technology, as part of its Young Scholars Academic Salon.
“生成式AI赋能低空经济网络优化”
Academic Services
Representative Journal Reviewers
- IEEE Communications Surveys & Tutorials (IEEE's highest-impact-factor journal, JCR Q1)
- IEEE Transactions on Mobile Computing (CCF-A, JCR Q1)
- IEEE Transactions on Services Computing (CCF-A, JCR Q1)
- IEEE Transactions on Information Forensics and Security (CCF-A, JCR Q1)
- IEEE Transactions on Dependable and Secure Computing (CCF-A, JCR Q1)
- IEEE Transactions on Wireless Communications (CCF-B, JCR Q1)
- IEEE Transactions on Communications (CCF-B, JCR Q1)
- IEEE Transactions on Cybernetics (CCF-B, JCR Q1)
- Computer Networks (CCF-B, JCR Q1)
- IEEE Transactions on Cognitive Communications and Networking (JCR Q1)
- IEEE Transactions on Network Science and Engineering (JCR Q1)
- IEEE Journal of Selected Topics in Signal Processing (JCR Q1)
- IEEE Internet of Things Journal (CCF-C, JCR Q1)
- IEEE Open Journal of Vehicular Technology (JCR Q1)
- IEEE Transactions on Vehicular Technology (JCR Q1)
- IEEE Transactions on Network and Service Management (JCR Q1)
- IEEE Transactions on Consumer Electronics (JCR Q1)
- IEEE Transactions on Green Communications and Networking (JCR Q1)
- IEEE Wireless Communications (JCR Q1)
- IEEE Network (JCR Q1)
- IEEE Communications Magazine (JCR Q1)
- IEEE Internet of Things Magazine
Representative TPC Members
- AAAI Conference on Artificial Intelligence (AAAI 2027) (CCF-A)
- IEEE International Conference on Communications (IEEE ICC 2025, 2027) (CCF-C; flagship communications conference)
- IEEE Global Communications Conference (IEEE GLOBECOM 2024) (CCF-C; flagship communications conference)
- IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom 2025) (CCF-C)
Teaching Experience
Teaching Assistant, CS1302 Introduction to Computer Programming, Fall 2026, CityU