Dr. Anran Li

Dr. Anran Li

Research Fellow at Nanyang Technological University, Singapore

About me

I am currently a Research Fellow at Nanyang Technological University with Prof. Yang Liu, Prof. Han Yu and Prof. Luu Anh Tuan. I received my Ph.D degree from the School of Computer Science and Technology, University of Science and Technology of China, under the supervision of Prof. Xiang-Yang Li and Prof. Lan Zhang.

My research interests focus on task-oriented data quality assessment for large-scale datasets, federated learning, interpretation and graph learning.

Recent News

  1. [2024.04.17] Our paper “Dual Calibration-based Personalised Federated Learning” was accepted by IJCAI 2024.
  2. [2024.04.04] Dr. Anran Li received the SIGMOD 2024 scholarship award.
  3. [2024.03.15] Dr. Anran Li served as a PC member of FL@FM-IJCAI’24.
  4. [2024.02.23] Our paper “Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning” was accepted by ACM SIGMOD 2024.
  5. [2024.01.23] Our paper “Federated Graph Neural Networks: Overview, Techniques and Challenges” was accepted by IEEE TNNLS 2024.
  6. [2024.01.17] Dr. Anran Li served as a PC member of IJCAI 2024.
  7. [2024.01.04] Our paper “Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning” was accepted by Neural Networks 2024.
  8. [2023.12.16] Our paper “An Empirical Study on Noisy Label Learning for Program Understanding” was accepted by ICSE 2024.
  9. [2023.12.09] Our paper “FedMut: Generalized Federated Learning via Stochastic Mutation” was accepted by AAAI 2024.
  10. [2023.12.03] Our paper “FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation” was accepted by IEEE ICDE 2024.
  11. [2023.11.08] Our paper “Efficient and Privacy-Preserving Feature Importance-based Vertical Federated Learning” was accepted by IEEE TMC 2023.
  12. [2023.10.16] Our paper “Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning” was submitted to ACM SIGMOD 2024 4th round.
  13. [2023.10.02] Our paper “Adaptive and Efficient Participant Selection in Vertical Federated Learning” was accepted by IEEE MSN 2023.
  14. [2023.09.20] Dr. Anran Li served as a PC member for AAMAS 2024.
  15. [2023.09.13] Dr. Anran Li served as a PC member for FL@FM-NeurIPS 2023.
  16. [2023.08.10] Dr. Anran Li served as a PC member for AAAI 2024.
  17. [2023.08.06] One paper has been submitted to IEEE Transactions on Mobile Computing (IEEE TMC 2023).
  18. [2023.05.23] Our paper “FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning” was accepted by ACM SIGMOD 2024.
  19. [2023.04.20] Our paper “Fairness via Group Contribution Matching” has been accepted by IJCAI 2023.
  20. [2022.12.22] Our paper “GFL: Federated Learning on Non-IID data via Privacy-preserving Synthetic data” was accepted by PerCom 2023.
  21. [2022.12.16] Our paper “Learning Program Representations with a Tree-Structured Transformer” was accepted by SANER 2023.
  22. [2022.12.02] Our paper “FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning” was accepted by IEEE INFOCOM 2023.

Contact

Address: Nanyang Technological University 50 Nanyang Avenue, Singapore 639798

Email: anran.li@ntu.edu.sg