TAN LIN (谭林)
Ph.D Candidate (2026.06)
Chongqing University
Young Elite Scientist
China Association for Science and Technology (CAST Ph.D Fellow)
Social
Contact: Email: lintancn@163.com
College of Computer Science
Chongqing University
No. 174 Shazheng Street, Shapingba District
Chongqing, 400044, China
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. I was previously supervised by Prof. Jun Zhao.
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
- (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.
- 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: 201).
- 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.
- 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.
- 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.
- 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).
- 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.
- Lin Tan, Kehan Guo, Zhiya Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang, Mingyan Li, Jun Zhao, Dusit Niyato, "DA-ERL: Demand-Aware Partitioned Collaborative Inference for On-Device Models," IEEE Transactions on Mobile Computing, (under review).
- 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)
- 2024: China Scholarship Council (CSC) Joint PhD 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