Scholar
Haolun Wu
Google Scholar ID: -KcBDLcAAAAJ
Researcher at Mila, McGill, Stanford | Prev. intern at Google, DeepMind, MSR
Citations & Impact
Citations
1,019
H-index
14
i10-index
15
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of McGill Graduate Excellence Award.
- Awarded Borealis AI Fellowship.
- FRQNT PhD Scholarship (ranked 1st place).
- Multiple papers accepted at top venues: NeurIPS 2025 (Compound AI alignment), ICML 2025 (LLM adaptation), AIED 2025 (AI for collaborative learning in education), TMLR 2025 (offline model-based optimization), EMNLP 2024, CHI 2024, WWW 2025, SIGIR 2022, TKDE 2024, TOIS 2022/2023, CIKM 2022/2024, ICDE 2024, SIGIR ICTIR 2024, etc.
- Invited to give a Rising Star talk at the International Symposium on Trustworthy Foundation Models (MBZUAI, May 2025).
Background
- Ph.D. candidate in Computer Science at McGill University and Mila - Quebec AI Institute.
- Research focuses on learning from human feedback using ML techniques to build trustworthy, responsible AI systems aligned with human needs.
- Work spans micro-level (e.g., personalization, data values) and macro-level (e.g., social goods, norms) aspects of human-AI alignment.
- Passionate about interdisciplinary research, especially applying AI/ML to Education and Psychology.
- Co-organizer of the OracleLLM community, exploring the use of LLMs as oracles for reliable, high-level insights.
- Significant contributor to the Test-Time Scaling (TTS) survey on LLM adaptation at inference time.
- Member of the organizing committee for NICE (NLP Academic Exchange Platform), fostering a bilingual (Mandarin/English) NLP research community.
