Lin Tan

TAN LIN (谭林)

Ph.D Candidate (2026.06)
Chongqing University

Young Elite Scientist
China Association for Science and Technology (CAST Ph.D Fellow)

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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:

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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: 201).
  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, 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).
  8. 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).

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