Qiuhao Zeng

About Me

I am a fourth-year PhD student in the machine learning group under the Computer Science Department of the University of Western Ontario. I am supervised by Prof. Prof. Charles Ling (Fellow, Canadian Academy of Engineering) and Boyu Wang. Now I am open to post-doctoral and research scientist positions!

Research Interests

I focus on effcient transformer architectures, and the problem of transfer learning with temporal distribution shifts.

Recent Publications

• ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.
  Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang
  International Conference on Learning Representations (ICLR), 2025
• On the Benefits of Attribute-Driven Graph Domain Adaptation.
  Ruiyi Fang, Bingheng Li, zhao kang, Qiuhao Zeng, Ruizhi Pu, Nima Hosseini Dashtbayaz, Charles Ling, Boyu Wang
  International Conference on Learning Representations (ICLR), 2025
• Towards Understanding Evolving Patterns in Sequential Data.
  Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles Ling, Boyu Wang
  Conference on Neural Information Processing Systems (NeurIPS), 2025 (Spotlight)
• Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time.
  Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang
  International Conference on Learning Representations (ICLR), 2024 (oral: top 1.2%)
• Generalizing Across Temporal Domains with Koopman Operators.
  Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles Ling, and Boyu Wang.
  AAAI Conference on Artificial Intelligence (AAAI), 2024
• Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environment.
  Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang.
  AAAI Conference on Artificial Intelligence (AAAI), 2023

Academic Service

CV

Contact Information

email: zengqhyy at gmail dot com