I am currently a Research Fellow at the Singapore University of Technology and Design (SUTD) , working with Prof. David Yau . I received my Ph.D. in Computer Science from the College of Computer Science at Chongqing University, under the supervision of Prof. Songtao Guo . During my doctoral studies, I was a visiting Ph.D. student at the College of Computing and Data Science, Nanyang Technological University , supervised by Prof. Dusit Niyato .

My research interests lie in the intersection of mobile computing, artificial intelligence, and sustainable computing. Specifically, I focus on:

• Sustainable and Energy-Efficient AI Systems
• Collaborative Edge Intelligence
• On-Device Model Inference
• Deep Reinforcement Learning Improvements & Applications
• Aerial and Space assisted Edge Computing (UAV, RIS, Satellite)

Recent News

• (2026.07) I joined the Singapore University of Technology and Design (SUTD) as a Research Fellow, working with Prof. David Yau.
• (2026.02) Our paper "DA-ERL: Demand-Aware Partitioned Collaborative Inference for On-Device Models" was accepted by IEEE Transactions on Mobile Computing.
• (2025.07) Our paper "Partitioned Collaborative Inference for On-Device Models via Evolutionary Reinforcement Learning" was accepted to the IEEE 45th International Conference on Distributed Computing Systems (ICDCS 2025).
• (2025.06) Our paper "SkyLink: Joint Deployment and Scheduling in Collaborative Integrated Ground-Air-Space Network" was accepted by IEEE Transactions on Wireless Communications.

Publications

A full list of my publications can be found on Google Scholar.

1. Lin Tan, Zhufang Kuang, Lian Zhao, Anfeng Liu, "Energy-Efficient Joint Task Offloading and Resource Allocation in OFDMA-Based Collaborative Edge Computing," in IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 1960-1972, March 2022, (Citation: 230).
2. Lin Tan, Zhufang Kuang, Jie Gao, Lian Zhao, "Energy-Efficient Collaborative Multi-Access Edge Computing via Deep Reinforcement Learning," in IEEE Transactions on Industrial Informatics, vol. 19, no. 6, pp. 7689-7699, June 2023.
3. Lin Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang, Saiqin Long, Zhetao Li, "Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization," in IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 11, pp. 18305-18320, Nov. 2024.
4. Lin Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang, Xianlong Jiao, "HAT: RIS-Assisted Collaborative Edge Computing Framework via Deep Reinforcement Learning," in IEEE Transactions on Network Science and Engineering, vol. 11, no. 5, pp. 4665-4678, Sept.-Oct. 2024.
5. Lin Tan, Pengzhan Zhou, Songtao Guo, Jun Zhao, Zhufang Kuang, Dewen Qiao, Lu Yang, "Partitioned Collaborative Inference for On-Device Models via Evolutionary Reinforcement Learning," IEEE 45th International Conference on Distributed Computing Systems (ICDCS 2025).
6. Lin Tan, Songtao Guo, Zhufang Kuang, Pengzhan Zhou, Mingyan Li, "SkyLink: Joint Deployment and Scheduling in Collaborative Integrated Ground-Air-Space Network," in IEEE Transactions on Wireless Communications, early access.
7. Lin Tan, Kehan Guo, Zhiya Tan, Songtao Guo, Zhufang Kuang, Jun Zhao, Dusit Niyato, "DA-ERL: Demand-Aware Partitioned Collaborative Inference for On-Device Models," IEEE Transactions on Mobile Computing, early access.
8. Lin Tan, et al, "Collaborative Inference for On-Device Multimodal Large Models," IEEE INFOCOM 2027, (under review).
9. Kunhong He; Pengzhan Zhou; Yijun Zhai; Yuepeng He; Lin Tan; Dewen Qiao, "HfedPES: Hierarchical Personalized Federated Learning with Edge Selection," 2024 20th International Conference on Mobility, Sensing and Networking (MSN).

Patents

• An Energy harvesting Optimization Method for Frequency Efficiency in D2D Heterogeneous Networks, China Patent, CN ZL202010145043.4
• A Collaborative Edge Computing Task Offloading Method Based on Deep Reinforcement Learning, China Patent, CN 202111278169.X

Projects Participated

• NSFC #62272069: Collaborative Training and Inference for Edge Intelligence (2022–2025)
• NSFC #62072477: UAV-Assisted Edge Computing Network Optimization (2021–2024)
• Hunan Youth Fund 2018JJ3888: D2D Model Selection and Energy Harvesting Allocation (2018–2021)
• Hunan Education 18B197: Edge Computing for Forest Fire Monitoring (2018–2020)

Honors and Awards

• 2025: Selected for the Young Elite Scientists Sponsorship Program by China Association for Science and Technology (CAST Ph.D Fellow)
• 2025: National Scholarship for Ph.D Student
• 2024: China Scholarship Council (CSC) Joint Ph.D Training Program Scholarship
• 2023: Outstanding Master's Thesis Award, Hunan Computer Federation
• 2023: Outstanding Student of Chongqing University
• 2022: Silver Medal, China “Internet+” Innovation Competition
• 2022: Outstanding Graduate of Central South University of Forestry and Technology