Qiaoyu Tan (谭桥宇)

Qiaoyu Tan is a tenure-track assistant professor in the Computer Science Department at New York University Shanghai. He obtained his Ph.D. degree in the Department of Computer Science and Engineering at Texas A&M University in August 2023, supervised by Dr. Xia Hu. His research interests center around machine learning and data mining, with a particular focus on graph machine learning, foundation model, multimodal learning, and applications in bioinformatics and healthcare. He has published more than 20 papers in major data mining and machine learning conferences/journals, such as KDD, WWW, WSDM, ICDM, SIGIR, AAAI, IJCAI, NeurIPS, and TKDE. Notably, his research was awarded the Best Student Paper Finalist at AMIA’23.

Select Publications

1. Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, and Xia Hu. S2GAE: Self-supervised graph autoencoders are generalizable learners with graph masking. In Proceedings of ACM International Conference on Web Search and Data Mining (WSDM), 2023.
2. Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, and Xia Hu. Collaborative graph neural Networks for attributed network embedding. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
3. Sirui Ding, Qiaoyu Tan, Chia-yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, and Xia Hu. Multi-task learning for post-transplant cause of death analysis. In Proceedings of AMIA Annual Symposium (AMIA), 2023.
4. Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng, Bhargav, Bhushanam, Yuandong Tian, Arun Kejariwal and Xia Hu. DreamShard: Generalizable Embedding Table Placement for Recommender Systems. Neural Information Processing Systems (NeurIPS), 2022.
5. Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, and Xia Hu. Dynamic memory based attention network for sequential recommendation. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2021.