Zhengyu Hu
Hi! I am Zhengyu Hu🤗
I am a Ph.D. student at the University of Washington, Seattle, advised by Prof. Radha Poovendran. I get my M.Phil. degree at the Hong Kong University of Science and Technology, advised by Prof. Hui Xiong. I am currently a research intern at 
Qwen Team, Foundation Model Group. Working for the Qwen3.5 / 3.6 / 3.7 / 3.8 / 4.0… series Previously, I interned at 
Microsoft Research Asia (MSRA), supervised by Dr. Xing Xie, Dr. Nicholas Jing Yuan, and Dr. Jianxun Lian. Before that, I interned at 
Meituan (Foundation Model Group) under the supervision of Dr. Jingang Wang and Dr. Zhengyu Chen. My research focuses on Data-Centric AI and Agentic Systems for Large Language / Multimodal Models (e.g., multimodel grounding).
📢 News
- 2026.09 🎉 Our paper Population-Aligned Persona Generation for LLM-based Social Simulation is accepted to Neurips 2026. See you in Sydney (Dec 6 - 12)!
- 2026.08 🎉 Our paper When the Strongest Teacher Is Not the Best Teacher: Student-Centric Answer Selection is accepted to EMNLP 2026. See you in Budapest (Oct 24–29)!
- 2026.03 🎓 I will join the University of Washington, Seattle as a Ph.D. student.
- 2025.12 🧑💻 I joined Qwen Team (Foundation Model Group) at Alibaba as a research intern. Contributing to the Qwen3.5 / 3.6 / 3.7 / 3.8 / 4.0 … model family
- 2025.11 🎉 Our paper Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators is accepted to AAAI 2026. See you in Singapore (Jan 20–27)!
- 2025.09 🎉 Our paper Unveiling the Learning Mind of Language Models is accepted to NeurIPS 2025. See you in San Diego (Dec 2–7)!
- 2025.08 🎉 Our paper Explaining Length Bias in LLM-Based Preference Evaluations is accepted to EMNLP 2025. See you in Suzhou (Nov 4–9)!
- 2025.05 🎉 Our paper Editable Concept Bottleneck Models is accepted to ICML 2025.
- 2024.11 🧑💻 I joined Microsoft Research Asia as a research intern.
- 2024.09 🎉 Our paper Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning is accepted to EMNLP 2024.
- 2024.06 🤝 I started a research internship at University of Washington, Seattle with Prof. Ranjay Krishna and Jieyu Zhang.
- 2024.02 – 2024.11 🧑💻 I interned at Meituan (Foundation Model Group) as a research intern, supervised by Dr. Zhengyu Chen.
- 2024.01 🤝 I started a research internship at Northwestern University with Prof. Kaize Ding.
- 2023.09 🎉 Our paper On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training is accepted to NeurIPS 2023.
📝 Selected Publications
(* denotes equal contribution; = denotes students mentored by me.)
- OpenRSI-Index
- Rethinking the Evaluation of Harness Evolution for Agents
- Population-Aligned Persona Generation for LLM-based Social Simulation
- When the Strongest Teacher Is Not the Best Teacher: Student-Centric Answer Selection
- Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
- Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
- Explaining Length Bias in LLM-Based Preference Evaluations
- Editable Concept Bottleneck Models
- Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
- On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
- Leveraging Relational Graph Neural Network for Transductive Model Ensemble
🏅 Professional Service
Conference Reviewer
- 2027: AAAI, SIGKDD, ICLR, AISTATS, NAACL, WWW
- 2026: AAAI, SIGKDD, ICLR, AISTATS, NAACL, ICML, ACL, EMNLP, NeurIPS, WWW, CVPR
- 2025: AAAI, SIGKDD, ICLR, AISTATS, NAACL, ICML, ACL, EMNLP, NeurIPS
- 2024: AISTATS, CVPR, WWW, ICLR, COLING, ACL, ACM MM, SIGKDD, ECCV, EMNLP, NeurIPS
- 2023: SIGKDD, NeurIPS
Journal Reviewer
- DMLR, TNNLS, TPAMI, ACM TSC
