About Me
I am a third-year PhD student in the machine learning group under the Computer Science Department of Western University. I am supervised by Prof. Boyu Wang and Prof. Charles Ling (Fellow, CAE).
Research Interests
I focus on effcient transformer architectures, and the problem of transfer learning with temporal distribution shifts.
Recent Publications
- 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
Conference Reviewer: ICLR 2025, NeurIPS 2024 (Top Reviewer), ICML 2024, ICLR 2024, AISTATS 2024, and AISTATS 2023.
Journal Reviewer: TMLR.
