About Me
I am a final-year Ph.D. student at Australian AI Institute, University of Technology Sydney, supervised by A/Prof. Guodong Long, A/Prof. Jing Jiang, and Prof. Chengqi Zhang. I obtained my B.S. degree and M.S. degree from Beijing University of Posts and Telecommunications in 2017 and 2020, respectively, supervised by Prof. Kan Zheng and A/Prof. Lei Lei.
My research interests are in machine learning, federated learning, and reinforcement learning. I am particularly interested in developing communication-efficient federated learning algorithms to solve heterogeneous problems in real-world applications.
I am on job market for a full-time research position this year. Please feel free to reach out if you have potential job opportunities.
News
- 10/2023: I am honoured to receive the NeurIPS 2023 Scholar Award.
- 09/2023: One paper on handling test-time shifts in federated learning has been accepted to NeurIPS 2023.
- 09/2023: Invited as Reviewer of ICLR 2024.
- 07/2023: Invited as Program Committee member of AAAI 2024.
- 07/2023: A tutorial on Recent Advancement on Federated Learning Combating Non-IID Data presented at IJCNN-2023.
- 06/2023: One paper accepted to the FL4Data-Mining workshop at KDD 2023.
- 04/2023: Invited as Reviewer of NeurIPS 2023.
- 11/2022: One paper on federated graph learning has been accepted to AAAI 2023 (Oral).
- 10/2022: I am honoured to receive the NeurIPS 2022 Scholar Award.
- 09/2022: One paper on federated learning has been accepted to NeurIPS 2022 (Spotlight).
- 07/2022: One paper on federated learning has been accepted to ICML Workshop 2022.
- 12/2021: One paper on federated prototype learning has been accepted to AAAI 2022.
Education
Ph.D. (Current) in Computer Science, University of Technology Sydney
Advisor: A/Prof. Guodong LongM.S. (2020) in Information and Communication Engineering, Beijing University of Posts and Telecommunications
Advisor: Prof. Kan ZhengB.S. (2017) in an elite class, equivalent to an honoured degree, Beijing University of Posts and Telecommunications
Industrial Experiences
- Amazon, Applied Scientist Intern, Working with IML team led by Prof. Anton van den Hengel, 2023.
- Sony AI, Research Intern, Working with PPML team led by Dr. Lingjuan Lyu, 2023.
Honors & Awards
- 10/2023: NeurIPS 2023 Scholar Award.
- 01/2023: AAAI 2023 Travel Grant.
- 12/2022: Vice-Chancellor’s Conference Fund 2022 Round 3.
- 12/2022: AAII-UTS Best Paper Award.
- 10/2022: NeurIPS 2022 Scholar Award.
- 08/2021: Data61 Top-Up Scholarship.
Contact
Email: yue.tan[at]student[dot]uts[dot]edu[dot]au
Office: Level 12, Building 2, 15 Broadway, Ultimo, NSW 2007