I am currently a postdoc at Hong Kong University of Science and Technology (HKUST). I received my Ph.D. degree at Sun Yat-sen University (SYSU), advised by Prof. Xu Chen in 2023.

My research interests lie in federated learning, mobile edge computing, large language model in telecom domain and social data analytics.

🔥 News

[Jun. 2024] Our paper “WirelessLLM: Empowering large language models towards wireless intelligence” was accepted.
[Jun. 2024] Our paper “IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content” was accepted to IEEE Transactions on Mobile Computing.
[May 2024] Our paper “Communication-efficient Multi-service Mobile Traffic Prediction by Leveraging Cross-service Correlations” was accepted to ACM KDD 2024.
[Jan. 2024] Our paper “Collaboration in Federated Learning with Differential Privacy: A Stackelberg Game Analysis” was accepted to IEEE Transactions on Parallel and Distributed Systems. paper

📝 Selected Publications

Federated Learning
- Hiflash: Communication-efficient hierarchical federated learning with adaptive staleness control and heterogeneity-aware client-edge association.paper
  Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang and Junshan Zhang
  IEEE Transactions on Parallel and Distributed Systems, 2023
- FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring paper
  Qiong Wu, Xu Chen, Zhi Zhou and Junshan Zhang
  IEEE Transactions on Mobile Computing, 2022
- Personalized federated learning for intelligent IoT applications: A cloud-edge based framework paper
  Qiong Wu, Kaiwen He and Xu Chen
  IEEE Open Journal of the Computer Society, 2020
- Collaboration in Federated Learning with Differential Privacy: A Stackelberg Game Analysis paper
  Guangjing Huang, Qiong Wu, Peng Sun, Qian Ma and Xu Chen
  IEEE Transactions on Parallel and Distributed Systems, 2024
- Fedleo: An offloading-assisted decentralized federated learning framework for low earth orbit satellite networks paper
  Zhiwei Zhai, Qiong Wu, Shuai Yu, Rui Li, Fei Zhang and Xu Chen
  IEEE Transactions on Mobile Computing, 2023
Mobile Traffic Prediction and Prediction-based Base Station Sleep Control
- Deep transfer learning across cities for mobile traffic prediction paper
  Qiong Wu, Kaiwen He, Xu Chen, Shuai Yu and Junshan Zhang
  IEEE/ACM Transactions on Networking, 2021
- Deep reinforcement learning with spatio-temporal traffic forecasting for data-driven base station sleep control paper
  Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen and Junshan Zhang
  IEEE/ACM transactions on networking, 2021
Social Data Analysis
- DeepCP: Deep learning driven cascade prediction-based autonomous content placement in closed social network paper
  Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He and Liang Chen
  IEEE Journal on Selected Areas in Communications, 2020
- Mobile social data learning for user-centric location prediction with application in mobile edge service migration paper
  Qiong Wu, Xu Chen, Zhi Zhou and Liang Chen
  IEEE Internet of Things Journal, 2019

🎖 Honors and Awards

National Scholarship, Ministry of Education of P. R. China, 2022
IEEE Computer Society’s Best Paper Award Runner-up, 2022
Shenzhen Stock Exchange Scholarship, 2021
Third prize in the first Collaborative Learning and Network Security Competition, Chinese Institute of Electronics, 2021
National Scholarship, Ministry of Education of P. R. China, 2020
SYSU Outstanding Undergraduate, 2017

📖 Educations

2019.09 - 2023.06, PhD, Computer Science and Technology, Sun Yat-sen University, China.
2017.09 - 2019.06, M.Eng., Software Engineering, Sun Yat-sen University, China.
2013.08 - 2017.06, B.Eng., Software Engineering, Sun Yat-sen University, China.

💻 Internships

Intern at Department of Financial Technology, Tencent Inc. (Mar. 2019 - Aug. 2019)

🛠︎ Academic Services