I received a B.S. and a Ph.D. degree in computer science from Jilin University (JLU), Changchun, China, in 2017 and 2023, respectively. My Ph.D advisor is Prof. Xiaohui Wei. I have been a Visiting Student in the Information Systems Technology and Design (ISTD) at the Singapore University of Technology and Design (SUTD), mentored by Prof. Tony Q.S. Quek, in 2022. I have been a postdoctoral research fellow with Dalian Maritime University (DMU), Dalian, China, from 2023 to 2025, collaborating with Prof. Hongbo Liu. Currently, I am a lecturer with the College of Artificial Intelligence, Dalian Maritime University.

My research interest includes edge intelligence, federated learning, distributed computing, and crowdsensing.

🔥 News

• 🎉Jan. 2026: Our paper “Secure Communication in the Presence of an RIS-Enhanced Eavesdropper in MIMO Networks” has been accepted by IEEE TWC (CCF B).
• 🎉Nov. 2025: Our paper “Neighborhood and Global Perturbations Supported Sharpness-aware Minimization in Federated Learning: From Local Tweaks To Global Awareness” has been accepted by IEEE TNSE (A1).
• 🎉Nov. 2025: Our paper “A Radical Heavy-Ball Method for Gradient Acceleration in Communication-Efficient Mobile Federated Learning” has been accepted by IEEE TMC (CCF A).
• 🎉Nov. 2025: Our paper “Towards Secure SAR Image Generation via Federated Angle-Aware Generative Diffusion Framework” has been accepted by IEEE IotJ (A1).
• 🎉Nov. 2025: Our paper “HiHa: Introducing hierarchical harmonic decomposition to implicit neural compression for atmospheric data” has been accepted by Computers & Geosciences.
• 🎉Oct. 2025: Our paper “LBKD: Rethinking Federated Backdoors for Low-Altitude Economy via LLMs and Bidirectional Knowledge Distillation” has been accepted by IEEE TNSE (A1).
• 🎉Sep. 2025: Our paper “Federated Dynamic Aggregation Selection Strategy-based Multi-Receptive Field Fusion Classification Framework for Point Cloud Classification” has been accepted by CMC.
• 🎉Aug. 2025: Our paper “Heterogeneity-Aware High-Efficiency Federated Learning with Hybrid Synchronous-Asynchronous Splitting Strategy” has been accepted by NN (CCF B).
• 🎉Jul. 2025: Our paper “Robust Single Image Sand Removal by Leveraging Uncertainty-aware SAM Priors and Prompt Learning with Refined Perceptual Loss” has been accepted by ACM MM (CCF A).
• 🎉Jun. 2025: Our paper “GDOSphere: A spherical graph neural network framework with neural operators for weather forecasting” has been accepted by PHYSICA A.
• 🎉May. 2025: Our paper “CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks” has been accepted by DCAN (CIC T1).
• 🎉Aug. 2024: Our paper “Exploiting Complex Network-based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning” has been accepted by IEEE TMC (CCF A).

📝 Publications

^† denotes co-first authors, and * denotes the corresponding authors.

Journal Papers:

TMC 2025

A Radical Heavy-Ball Method for Gradient Acceleration in Communication-Efficient Mobile Federated Learning

Boyuan Li^†, Zijian Li^†, Yafei Li*, Mingliang Xu*, Shengbo Chen, Cong Shen, Tony Q.S. Quek

IEEE Transactions on Mobile Computing (TMC), 2025 (CCF A)

TMC 2024

Exploiting Complex Network-based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning

Zijian Li, Zihan Chen, Xiaohui Wei*, Shang Gao, Hengshan Yue, Zhewen Xu, Tony Q.S. Quek*

IEEE Transactions on Mobile Computing (TMC), 2024 (CCF A)

NN 2025

Heterogeneity-Aware High-Efficiency Federated Learning with Hybrid Synchronous-Asynchronous Splitting Strategy

Zijian Li, Boyuan Li, Kunyu Zhang, Bingcai Wei, Hongbo Liu*, Zihan Chen*, Xinqiang Xie, Tony Q.S. Quek

Neural Networks (NN), 2025 (CCF B)

TNSE 2025

LBKD: Rethinking Federated Backdoors for Low-Altitude Economy via LLMs and Bidirectional Knowledge Distillation

Haoquan Wang, Boyuan Li, Panpan Chen, Libing Wu*, Zijian Li*, Tony Q.S. Quek

IEEE Transactions on Network Science and Engineering (TNSE), 2025 (A1)

DCAN 2025

CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks

Munan Li, Xianshi Su, Runze Ma, Tongbang Jiang, Zijian Li*, Tony Q.S. Quek

Digital Communications and Networks (DCAN), 2025 (CIC T1)

• Secure Communication in the Presence of an RIS-Enhanced Eavesdropper in MIMO Networks
  Gaoyuan Zhang, Ruisong Si, Boyuan Li*, Zijian Li*, Baofeng Ji, Chenqi Zhu, Tony Q.S. Quek
  IEEE Transactions on Wireless Communications (TWC), 2025 (CCF B)
  
• Neighborhood and Global Perturbations Supported Sharpness-aware Minimization in Federated Learning: From Local Tweaks To Global Awareness
  Boyuan Li, Zihao Peng, Yafei Li*, Zijian Li*, Shengbo Chen, Cong Shen, Tony Q.S. Quek
  IEEE Transactions on Network Science and Engineering (TNSE), 2025 (A1)
  
• Towards Secure SAR Image Generation via Federated Angle-Aware Generative Diffusion Framework
  Yuchao Hou, Yue Wang, Xiaoyu Xia, Youliang Tian, Zijian Li*, Tony Q.S. Quek
  IEEE Internet of Things Journal (IotJ), 2025 (A1)
  
• FedC-DAC: A Federated Clustering with Dynamic Aggregation and Calibration Method for SAR Image Target Recognition
  Yuchao Hou, Shuai Zhao, Xiaoyu Xia, Minghui Liwang, Zijian Li, Nan Xu, Di Wu, Youliang Tian, Tony Q.S. Quek
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2025 (Q1)
  
• HiHa: Introducing hierarchical harmonic decomposition to implicit neural compression for atmospheric data
  Zhewen Xu, Baoxiang Pan, Xiaohui Wei, Hongliang Li*, Dongyuan Tian, Zijian Li, Changzheng Liu
  Computers & Geosciences, 2025 (Q1)
• GDOSphere: A spherical graph neural network framework with neural operators for weather forecasting
  Zhewen Xu, Baoxiang Pan, Xiaohui Wei*, Hongliang Li*, Dongyuan Tian, Zijian Li
  Physica A: Statistical Mechanics and its Applications, 2025
• Federated Dynamic Aggregation Selection Strategy-based Multi-Receptive Field Fusion Classification Framework for Point Cloud Classification
  Yuchao Hou, Biaobiao Bai, Shuai Zhao, Yue Wang, Jie Wang, Zijian Li*
  CMC-Computers, Materials & Continua, 2025
  
• SHARP: Blockchain-Powered WSNs for Real-Time Student Health Monitoring and Personalized Learning
  Zeqiang Xie, Zijian Li*, Xinbing Liu
  Sensors, 2025
• DGFormer: a physics-guided station level weather forecasting model with dynamic spatial-temporal graph neural network
  Zhewen Xu, Xiaohui Wei*, Jieyun Hao, Junze Han, Hongliang Li*, Changzheng Liu, Zijian Li, Dongyuan Tian, Nong Zhang
  GeoInformatica, 2024 (CCF B)
• A Blockchain Multi-Chain Federated Learning Framework for Enhancing Security and Efficiency in Intelligent Unmanned Ports
  Zeqiang Xie, Zijian Li*
  Electronics, 2024
• HSM-SMCS: Task Assignment Based on Hybrid Sensing Modes in Sparse Mobile Crowdsensing
  Xiaohui Wei, Zijian Li, Chenghao Ren, Tao Guo, Shang Gao*
  IEEE Internet of Things Journal (IotJ), 2022 (First author is supervisor, A1 TOP)
  
• SDLSC-TA: Subarea Division Learning Based Task Allocation in Sparse Mobile Crowdsensing
  Xiaohui Wei, Zijian Li, Yuanyuan Liu, Shang Gao*, Hengshan Yue
  IEEE Transactions on Emerging Topics in Computing (TETC), 2021 (First author is supervisor, A1)
  

Conference Papers:

MM 2025

Robust Single Image Sand Removal by Leveraging Uncertainty-aware SAM Priors and Prompt Learning with Refined Perceptual Loss

Bingcai Wei, Hui Liu*, Chuang Qian, Zijian Li*, Wangyu Wu, Zijie Meng

Proceedings of the 33rd ACM International Conference on Multimedia (MM), 2025 (CCF A)

• HPFL-CN: Communication-Efficient Hierarchical Personalized Federated Edge Learning via Complex Network Feature Clustering
  Zijian Li, Zihan Chen, Xiaohui Wei*, Shang Gao, Chenghao Ren, Tony Q.S. Quek
  19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2022 (CCF B)
  
• CFPA: Cognitive Federated Partial Adaptation for Effective Personalization
  Xiaohui Wei, Didi Jiao, Shiyu Tong, Zijian Li*, Chenghao Ren, Hengshan Yue
  19th International Conference on Mobility, Sensing and Networking (MSN), 2023 (CCF C)
  
• AreaTransfer: A Cross-City Crowd Flow Prediction Framework Based on Transfer Learning
  Xiaohui Wei, Tao Guo, Hongmei Yu, Zijian Li, Hao Guo, Xiang Li*
  International Conference on Smart Computing and Communication (SmartCom), 2021 (Best Paper)

💻 Services

Conference Organization

• Web Chair, IEEE BigDataSE 2025

Technical Program Committee Membership

• CCF HPC China 2025, Track of Programming and System
• VTC2025-Fall, Workshops and Recent Results
• UIC 2024, Special Session on Intelligent Signal Processing

Journal Editorship

• Guest Editor, Electronics, 2024-present

Selected Technical Reviewer:

• IEEE Transactions on Pattern Analysis and Machine Intelligence
• IEEE Transactions on Mobile Computing
• IEEE Transactions on Knowledge and Data Engineering
• IEEE Transactions on Dependable and Secure Computing
• IEEE Transactions on Information Forensics & Security
• IEEE Journal on Selected Areas in Communications
• IEEE Transactions on Parallel and Distributed Systems
• IEEE Transactions on Audio, Speech and Language Processing
• IEEE Transactions on Systems, Man and Cybernetics: Systems
• IEEE Transactions on Industrial Informatics
• IEEE Transactions on Computational Social Systems
• IEEE Transactions on Consumer Electronics
• IEEE Internet of Things Journal
• Information Sciences
• Knowledge-Based Systems
• Expert Systems With Applications
• IET Software
• Chinese Journal of Electronics
• China Communications
• AAAI 2025
• ICASSP 2025