Biography

Dr. Weiwei Jiang received the B.Sc. and Ph.D. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2013 and 2018, respectively. He is currently an assistant professor with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, and Key Laboratory of Universal Wireless Communications, Ministry of Education. His current research interests include artificial intelligence, machine learning, big data, wireless communication and edge computing. He has published more than 60 academic papers in IEEE Trans and other journals, with more than 3500 citations in Google Scholar. He is one of 2023 and 2024 Stanford's List of World's Top 2% Scientists.


In addition to his research endeavors, Dr. Weiwei Jiang actively engages with scholarly journals as an Editor, including Information Fusion, Future Generation Computer Systems, Engineering Reports, Data Science and Management, Journal of Computational and Cognitive Engineering, and Indonesian Journal of Electrical Engineering and Computer Science, INGENIERIA E INVESTIGACION, International Journal of Intelligent Transportation Systems Research, EAI Endorsed Transactions on AI and Robotics, EAI Endorsed Transactions on Industrial Networks and Intelligent Systems. He is also the Guest Editor for many journals, including Information Fusion, Neural Computing and Applications, International Journal of Intelligent Systems, etc.


Education

2013.9-2018.7: Ph.D. Student, Department of Electronic Engineering, Tsinghua University


2017.1-2017.7: Visiting Scholar, Industrial Engineering and Operations Research Department, University of California, Berkeley


2016.9-2018.7: Double degree in Economics, National School of Development, Peking University


2015.9-2017.5: Online Master of Science in Computer Science, College of Computing, Georgia Institute of Technology


2011.9-2011.12: Exchange Student, Department of Electrical and Electronic Engineering, Hong Kong University


2009.9-2013.7: Undergraduate Student, Department of Electronic Engineering, Tsinghua University


Publications

  • Rethinking the Multi-Scale Feature Hierarchy in Object Detection Transformer (DETR)
    Fanglin Liu, Qinghe Zheng, Xinyu Tian, Feng Shu, Weiwei Jiang, Miaohui Wang, Abdussalam Elhanashi and Sergio Saponara.
    Applied Soft Computing, 2025.
    [paper]
  • An Efficient and Secure Data Audit Scheme for Cloud-Based EHRs with Recoverable and Batch Auditing
    Yuanhang Zhang, Xu An Wang, Weiwei Jiang, Mingyu Zhou, Xiaoxuan Xu, and Hao Liu.
    CMC-Computers, Materials & Continua, 2025.
    [paper]
  • Synthetic Data Enhances Mathematical Reasoning of Language Models Based on Artificial Intelligence
    Zeyu Han, Weiwei Jiang.
    Information and Control, 2025.
    [paper]
  • Energy-Efficient Resource Allocation for Urban Traffic Flow Prediction in Edge-Cloud Computing
    Ahmad Ali, Inam Ullah, Sushil Kumar Singh, Amin Sharafian, Weiwei Jiang, Hammad I. Sherazi, and Xiaoshan Bai.
    International Journal of Intelligent Systems, 2025.
    [paper]
  • Enhancing resilience communication in B5G: optimal deployment of tethered networked flying platforms for disaster recovery
    Abdu Saif, Nor Shahida Mohd Shah, Yahya M. Al-Moliki, Weiwei Jiang and Saeed Hamood Alsamhi.
    The Journal of Supercomputing, 2025.
    [paper]
  • Federated Learning‐Based Mobile Traffic Prediction in Satellite‐Terrestrial Integrated Networks
    Jiang W, Mu J, Han H, et al.
    Software: Practice and Experience, 2025.
    [paper]
  • Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future
    Ullah I, Singh S, Adhikari D, Khan H, Jiang W, and Bai X.
    Swarm and Evolutionary Computation, 2025.
    [paper]
  • Optimizing Supply Chain Financial Strategies Based on Data Elements in the China’s Retail Industry: Towards Sustainable Development
    Zhang H, Jiang W, Mu J, et al.
    Sustainability, 2025.
    [paper]
  • SNR-Enhanced Automatic Modulation Classification in Artificial Intelligence of Things for Consumer Electronics
    Yang Z, Jiang W, Huang S, et al.
    IEEE Transactions on Consumer Electronics, 2025.
    [paper]
  • Fuzzy ensemble-based federated learning for EEG-based emotion recognition in Internet of Medical Things
    Jiang W, Zhang Y, Han H, et al.
    Journal of Industrial Information Integration, 2025.
    [paper]
  • Satellite Edge Computing for Mobile Multimedia Communications: A Multi-agent Federated Reinforcement Learning Approach
    Jiang W, Zhan Y, Fang X.
    ACM Transactions on Autonomous and Adaptive Systems, 2025.
    [paper]
  • Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites
    Lu Y, Wang W, Bai R, Zhou S, Garg L, Bashir AK, Jiang W, and Hu X.
    Information Fusion, 2025.
    [paper]
  • Generative AI for Consumer Internet of Things: Challenges and Opportunities
    Jiang W, Zhang Y, Han H, et al.
    IEEE Consumer Electronics Magazine, 2025.
    [paper]
  • Fuzzy neural network based access selection in satellite-terrestrial integrated networks
    Jiang W, Zhan Y, Fang X.
    Journal of Network and Computer Applications, 2025.
    [paper]
  • Data-driven Analysis of Taxi and Ride-hailing Services: Case Study in Chengdu, China
    Jiang W.
    Computer and Decision Making: An International Journal, 2025.
    [paper]
  • A deep dive into cybersecurity solutions for AI-driven IoT-enabled smart cities in advanced communication networks
    Ali J, Singh S K, Jiang W, et al.
    Computer Communications, 2025.
    [paper]
  • Heuristic Optimization-Based Trajectory Planning for UAV Swarms in Urban Target Strike Operations
    Fei C, Lu Z, Jiang W.
    Drones, 2024.
    [paper]
  • Joint Computation Offloading and Resource Allocation for LEO Satellite Networks Using Hierarchical Multi-Agent Reinforcement Learning
    Lai J, Liu H, Xu G, Jiang W, et al.
    IEEE Transactions on Cognitive Communications and Networking, 2024.
    [paper]
  • Multi-Modal Big Data Analyzing Architecture for Industrial Internet of Things
    Jiang W, Zhang Y, Han H, et al.
    Proceedings of the First International Workshop on IoT Datasets for Multi-modal Large Model, 2024.
    [paper]
  • Graph Neural Networks for Routing Optimization: Challenges and Opportunities
    Jiang W, Han H, Zhang Y, et al.
    Sustainability, 2024.
    [paper]
  • Lightweight knowledge distillation and feature compression model for user click-through rates prediction in edge computing scenarios
    Yang B, Zhou J, Zhang S, Xing Y, Jiang W, et al.
    IEEE Internet of Things Journal, 2024.
    [paper]
  • Intrusion detection with federated learning and conditional generative adversarial network in satellite-terrestrial integrated networks
    Jiang W, Han H, Zhang Y, et al.
    Mobile Networks and Applications, 2024.
    [paper]
  • Quantum algorithms using infeasible solution constraints for collision-avoidance route planning
    Li Q, Huang Z, Jiang W, et al.
    IEEE Transactions on Consumer Electronics, 2024.
    [paper]
  • TriChronoNet: Advancing electricity price prediction with Multi-module fusion
    He M, Jiang W, Gu W.
    Applied Energy, 2024.
    [paper]
  • Toward Collaborative and Channel-Robust Automatic Modulation Classification for OFDM Signals
    Chen Y, He J, Jiang W, et al.
    IEEE Wireless Communications Letters, 2024.
    [paper]
  • Federated learning for network attack detection using attention-based graph neural networks
    Jianping W, Guangqiu Q, Chunming W, Weiwei J, et al.
    Scientific Reports, 2024.
    [paper]
  • Modality fusion vision transformer for hyperspectral and LiDAR data collaborative classification
    Yang B, Wang X, Xing Y, Cheng C, Jiang W, et al.
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.
    [paper]

Academic Services

Teaching Experience

  • 通信电子电路
  • 大数据应用开发课程设计
  • 人工智能引论 A

Selected Honors and Awards

  • Stanford's List of World's Top 2% Scientists (2023 and 2024)
  • Future Generation Computer Systems Outstanding Editors Award 2024
  • Human-Centric Intelligent Systems Outstanding Reviewer Award 2024