Gang Yan bio photo

Email

LinkedIn

Google Scholar

About Me

This is Gang Yan (燕刚).

I am presently serving as a postdoc scholar in the Department of Computer Science & Engineering at UC Merced (USA). Before this role, I obtained my PhD in Electrical & Computer Engineering from SUNY-Binghamton University (USA) in 2023. Additionally, I completed my Bachelor’s and Master’s degrees in Statistics in 2016 and 2019, respectively, at Nankai University (China). Throughout my academic journey, it has been an honor to be advised by Prof. Changliang Zou, Prof. Jian Li and Prof. Wan Du. Their guidance and expertise have been instrumental in shaping my research and academic pursuits.

Research Interests

High-Performance Network Optimization, Cloud and Edge Computing, Distributed Machine Learning and Federated Learning, Attack and Defense in Distributed Systems. Skill at C++, Python, R, Java, AWS, ATS and SQL.

News and Updates

  • 02/2024:[Service] I will serve as a Program Committee member (PC) for ACM KDD 2024.
  • 12/2023:[Paper] Our paper “DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations” accepted to AAAI 2024 (acceptance rate: 23.75%).
  • 07/2023:[Service] I will serve as a Program Committee member (PC) for AAAI 2024.
  • 06/2023:[Internship] Have been offered an internship opportunity at AT&T Labs.
  • 05/2023:[Paper] Our paper “CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning” accepted to ACM SIGKDD 2023 (acceptance rate: 22.1%).
  • 12/2022:[Paper] Our paper “Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach” accepted to IEEE/ACM Transactions on Networking.
  • 12/2022:[Award] Received the Student Scholar Award from AAAI 2023.
  • 11/2022:[Paper] Our paper “DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness” accepted to AAAI 2023 (acceptance rate: 19.6%).