I am a Ph.D. candidate in College of Computer Science at Chongqing University, supervised by Prof. Songtao Guo. Currently, I am currently 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 and artificial intelligence. Specifically, I focus on:

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

Recent News

• (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 46th International Conference on Distributed Computing Systems (ICDCS 2026), (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