Weiqi Wang 王伟琪 Mighty

About me

I’m a third-year Ph.D. student in Computer Science and Engineering at The Hong Kong University of Science and Technology, supervised by Professor Yangqiu Song. Currently, I’m an applied scientist intern at Amazon Rufus LLM in Palo Alto, working with Dr. Xin Liu and Dr. Qingyu Yin. Previously, I was a visiting Ph.D. student at Johns Hopkins University, supervised by Prof. Daniel Khashabi. I also interned as an applied scientist at Amazon Search Experience Science in Palo Alto, where I worked with Dr. Limeng Cui, Dr. Xin Liu, and Dr. Chen Luo. I received my bachelor’s degree in Computer Science and Mathematics from HKUST in 2022 and am currently funded by the HKPFS award.

This webpage is last updated on 2025/7/24.

I’m mainly interested in the research of Natural Language Processing and Large Language Models. Currently, I’m working on:

Scaling Laws and Training Efficiency of Reinforcement Learning with Large Language Models, exploring scaling behaviors, data efficiency, and curriculum learning dynamics in reinforcement learning methods
Unlocking Creative and Generalizable System II Reasoning within LLMs through conceptualization (🐈, 🚗, 🕯️) and metaphysical reasoning (🪐) to enable reasoning in novel situations beyond intuition and pattern matching
Human Behavior Understanding and Intention Modeling with Large Foundation Models in E-Commerce (FolkScope, IntentionQA, MIND, 📜) and Social Media (MIKO), focusing on agent-level comprehension and prediction of human goals and intentions
Scientific Knowledge Exploration via Large Language Models, studying their role in organizing, summarizing, and discovering scientific knowledge (arXiv2Table, Science Hierarchography, ClaimCheck)

The Hong Kong University of Science and Technology (HKUST)

Doctor of Philosophy in Computer Science and Engineering, Sep. 2022 – Aug. 2026 (Expected)
Bachelor of Science in Computer Science and Mathematics, Sep. 2018 – Jun. 2022, First Class Honors

Johns Hopkins University (JHU)

Visiting PhD Student at Center for Language and Speech Processing, Nov. 2024 - Apr. 2025

Amazon Stores Foundational AI, Amazon Inc., Palo Alto, CA, USA

Amazon Search Experience Science, Amazon Inc., Palo Alto, CA, USA

Area Chair: ACL Rolling Review (2024 - Now), ACL (2024, 2025), EMNLP (2024, 2025), COLING (2025), NAACL (2025), COLM (2025), 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

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)

You can reach me at mightyweaver829 [at] gmail [dot] com.