Weiqi Wang 王伟琪
About me
I’m a Research Scientist at Tencent Hunyuan in Beijing. Previously, I received my Ph.D. and B.Sc. degrees in Computer Science and Engineering from The Hong Kong University of Science and Technology in March 2026 and July 2022, respectively. My research was supervised by Professor Yangqiu Song and generously supported by the HKPFS award. I was also a visiting Ph.D. scholar at Johns Hopkins University, where I was supervised by Prof. Daniel Khashabi. Before that, I completed two Applied Scientist internships at Amazon in Palo Alto, where I worked with the Stores Foundational AI team and the Customer Search Experience team under the mentorship of Dr. Xin Liu, Dr. Qingyu Yin, Dr. Limeng Cui, and Dr. Chen Luo.
This webpage was last updated on April 12, 2026.
Research Interest
I’m mainly interested in research on large language models. My current work focuses on:
- GUI/CLI Agents Post-Training: applying RL-based post-training to agents that perceive, plan, and act in real interfaces, with an emphasis on long-horizon decision-making, interactive feedback and reward design, and reliable agentic behavior.
- RL-Empowered Reasoning in LLMs: developing efficient and scalable reinforcement learning methods to improve LLM reasoning performance (HeaPA). I am also interested in enabling generalizable System II reasoning in novel situations.
During my Ph.D., my thesis focused on exploring conceptualization (🐈, 🚗, 🕯️) and metaphysical reasoning (🪐), with an emphasis on robustness and reliable reasoning beyond pattern matching. I also actively worked on human behavior understanding and intention modeling with large foundation models in e-commerce (FolkScope, IntentionQA, MIND, 📜) and social media (MIKO), as well as on scientific knowledge exploration with large language models, studying their role in organizing, summarizing, and discovering scientific knowledge (arXiv2Table, Science Hierarchography, ClaimCheck).
Employment
Tencent Hunyuan, Beijing, China
- Research Scientist, Apr. 2026 – Now
Amazon Stores Foundational AI, Amazon Inc., Palo Alto, CA, USA
- Applied Scientist Intern, Jun. 2025 – Dec. 2025
Amazon Search Experience Science, Amazon Inc., Palo Alto, CA, USA
- Applied Scientist Intern, Jun. 2024 – Sep. 2024
Education
The Hong Kong University of Science and Technology (HKUST)
- Doctor of Philosophy in Computer Science and Engineering, Sep. 2022 – Mar. 2026
- Bachelor of Science in Computer Science and Mathematics, Sep. 2018 – Jul. 2022, First Class Honors
Johns Hopkins University (JHU)
- Visiting PhD Student at Center for Language and Speech Processing, Nov. 2024 - Apr. 2025
Academic Service
- Area Chair: ACL Rolling Review (2024 - Now), ACL (2024, 2025, 2026), EMNLP (2024, 2025, 2026), COLING (2025), NAACL (2025), COLM (2025, 2026), ICML (2025)
- Conference Reviewer: ACL Rolling Review (2022 - 2023), EACL (2024), NAACL (2024), EMNLP (2022, 2023), ACL (2023), KDD (2023, 2024, 2025, 2026), NeurIPS (2024), NeurIPS-DB (2024), ICLR (2025), AACL (2025)
- Conference Volunteer: IJCAI-2023
Awards
- HKUST RedBird Academic Excellence Award for Continuing PhD Students (2024 - 2025)
- EMNLP 2024 Outstanding Paper Award (2024)
- HKUST RedBird Academic Excellence Award for Continuing PhD Students (2023 - 2024)
- Hong Kong PhD Fellowship (2022 - 2026)
- HKUST RedBird PhD Scholarship (2022)
- Dean’s List for the School of Engineering (Fall 2018, Fall 2019, Fall 2020, Spring 2022)
- University’s Scholarship Scheme for Continuing Undergraduate Students (2019 - 2022)
Contact me!
You can reach me at mightyweaver829 [at] gmail [dot] com.