Yue Tan is currently a postdoctoral fellow at UNSW. Previously, she obtained her PhD degree from University of Technology Sydney in 2024. Her research mainly focuses on federated learning, representation learning, multimodal learning, with a special focus on solving real-world heterogeneous problems. She published several papers in top-tier conferences and journals, including AAAI, NeurIPS, ICML Workshop, KDD Workshop, IEEE COMST, IEEE IoTJ,...view more
Yue Tan is currently a postdoctoral fellow at UNSW. Previously, she obtained her PhD degree from University of Technology Sydney in 2024. Her research mainly focuses on federated learning, representation learning, multimodal learning, with a special focus on solving real-world heterogeneous problems. She published several papers in top-tier conferences and journals, including AAAI, NeurIPS, ICML Workshop, KDD Workshop, IEEE COMST, IEEE IoTJ, etc. She served as the PC member of multiple AI/ML conferences, including ICLR, ICML, NeurIPS, KDD, TKDE, TKDD, etc. She has been awarded Data61 Top-Up Scholarship, NeurIPS 2023 Scholar Award, AAII-UTS Best Paper Award during her PhD career. She has also been working as a research intern at Sony AI and Amazon, respectively. The full list of her publications: https://yuetan031.github.io/publications/.
