Scholar
Qiuhao Zeng
Google Scholar ID: MJdcPlgAAAAJ
Western University
Citations & Impact
Citations
697
H-index
7
i10-index
7
Publications
16
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - ZETA: Leveraging Z-order Curves for Efficient Top-k Attention (ICLR, 2025)
- - Mamba Modulation: On the Length Generalization of Mamba Models (NeurIPS, 2025)
- - Calibrated Language Models and How to Find Them with Label Smoothing (ICML, 2025)
- - On the Benefits of Attribute-Driven Graph Domain Adaptation (ICLR, 2025)
- - Homophily Enhanced Graph Domain Adaptation (ICML, 2025)
- - Towards Understanding Evolving Patterns in Sequential Data (NeurIPS, 2024, Spotlight; Top 2.1%)
- - Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time (ICLR, 2024, Oral; Top 1.2%)
- - Generalizing Across Temporal Domains with Koopman Operators (AAAI, 2024)
- - Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments (AAAI, 2023)
- - Episodic Task-Agnostic Contrastive Training for Multi-Task Learning (Neural Networks, 2023)
- - LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface (TNNLS, 2023)
- - Academic Service:
- - Conference Reviewer: ICLR, NeurIPS (Top Reviewer), ICML, AAAI, AISTATS
- - Journal Reviewer: TNNLS, TMLR
- - Teaching Assistant: CS3346 (AI), CS2210 (Data Structures), CS3357 (Networks)
Research Experience
- - Fourth-year PhD candidate
- - Research areas include efficient attention and Transformer acceleration, transfer learning across evolving temporal domains, graph learning, and domain adaptation
Education
- - PhD Candidate, Machine Learning Group, University of Western Ontario
- - Advisors: Prof. Charles Ling and Prof. Boyu Wang
Background
- - Research Interests: efficient Transformer architectures, transfer learning under temporal distribution shifts
- - Advisors: Prof. Charles Ling (Fellow, Canadian Academy of Engineering) and Prof. Boyu Wang
Miscellany
- - Open to post-doctoral and research scientist opportunities
Co-authors