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Weiqin Wang (王伟钦)Master's studentCollege of Computer Science and Software Engineering, Shenzhen University Email: here1swqw@gmail.com |
Weiqin Wang is currently a master's student at the College of Computer Science and Software Engineering, Shenzhen University (admitted through the 2025 recommended exemption program), advised by Assistant Professor Yile Wang. His research interests include artificial intelligence, natural language processing, and large language models.
Publications 📄
(* equal contribution, # corresponding author)SemPA: Improving Sentence Embeddings of Large Language Models through Semantic Preference Alignment.
[arxiv]
[bib]
Ziyang Chen, Zhenxuan Huang, Yile Wang, Weiqin Wang, Lu Yin, and Hui Huang.
To appear in Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2026
Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement Learning.
[arxiv]
[bib]
Weiqin Wang, Yile Wang, Kehao Chen, and Hui Huang.
To appear in Main Conference of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026
AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models.
[arxiv]
[bib]
Zhanyu Shen, Sijie Cheng, Zhicheng Guo, Weiqin Wang, Yile Wang, and Hui Huang.
To appear in Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2026
Ranked Voting based Self-Consistency of Large Language Models.
[pdf]
[bib]
Weiqin Wang, Yile Wang, and Hui Huang.
In Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2025
Award 🏆
- National Scholarship for Undergraduate Students
- Second Prize, National Undergraduate Mathematical Contest in Modeling
- Third Prize, National Team Programming Ladder Tournament
- Meritorious Winner, Mathematical Contest in Modeling/Interdisciplinary Contest in Modeling (MCM/ICM), USA
- First Prize, 15th Lanqiao Cup Programming Competition, Fujian Province
Academic & Professional Services
- Principles of Compilation, Teaching Assistant, Spring 2025
Main responsibilities: experiment design, lab instruction, grading, and answering students' questions.
Education 🎓
- B.Sc. in Computer Science and Technology, College of Computer and Information, Fujian Agriculture and Forestry University, 2021.09-2025.06, Fuzhou, China. Overall ranking: 1/128 (0.78%); GPA ranking: 3/128 (2.34%).
- M.Sc. candidate in Computer Science and Technology, College of Computer Science and Software Engineering, Shenzhen University, 2025.09–2028.06, Shenzhen, China.