Weiqi Wang 王伟琪 Mighty
About me
Hi there! Welcome to my personal homepage. I’m a second year Ph.D. Student in Computer Science and Engineering at the Hong Kong University of Science and Technology supervised by Professor Yangqiu Song. I received my bachelor degree in Computer Science and Mathematics from the same institution in 2022, and I’m now funded by the HKPFS award.
I am open to supervising undergraduate students who are highly motivated, academically strong, and possess strong coding ability. If you are interested in NLP and would like to collaborate with me, please email me with your CV and unofficial transcript. My email can be found at the left.
This webpage is last updated on 2023/9/22.
Research Interest
I’m mainly interested in the research of Natural Language Processing, and I’m actively researching in:
- Commonsense Reasoning via Conceptualization (🐈, 🚗, 🕯️)
- Intentional and Multimodal Commonsense Discovery in E-Commerce Domain
- Event Calculus for Event Representation and Reasoning
Education
The Hong Kong University of Science and Technology (HKUST)
- Doctor of Philosophy in Computer Science and Engineering, Sep. 2022 – Jun. 2026 (Expected)
- Bachelor Degree in Computer Science and Mathematics, Sep. 2018 – Jun. 2022, First Class Honors
Beijing No.8 Middle School (BJBZ)
- High School Diploma in Science, Sep. 2015 – Jun. 2018
Awards
- 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)
Academic Service
- Program Committee Reviewer: ACL Rolling Review (2022 - Now), EMNLP (2022, 2023), ACL (2023), SemEval (2023), KDD (2023)
- Conference Volunteer: IJCAI-2023
Teaching
- COMP4332 Big Data Mining and Management Teaching Assistant (Spring 2023)
- CSE Department Teaching Assistant Coordinator (Fall 2023, Spring 2024)
Contact me!
You can reach me at mightyweaver829 [at] gmail [dot] com
, this email will be active all the time.