Haiqin Yang | 杨海钦

Professor, B.Sc. (NJU), MPhil., Ph.D. (CUHK)
School of Artificial Intelligence (Rm. C1-1707)
Shenzhen Technology University


About

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I am a Full Professor at Shenzhen Technology University, with research interests in

  • Large Language Models (LLMs)/GenAI Foundations: LLM understanding (EMNLP’25; ECML PKDD’26; ACL’26), modular efficiency (EACL’26), and Agentic AI (ACL’26), etc.; and
  • GenAI + X: applications in data analytics (ACL’25; ACL’26), affective computing (ACL’23; IJCAI’21), and education, etc.

Previously, I worked in R&D at IDEA, Ping An Life, and other organisations. I have also held academic appointments at The Chinese University of Hong Kong (CUHK) as an Adjunct Associate Professor in the Department of Decision Sciences and Managerial Economics, and at Hang Seng Management College (now rebranded as Hang Seng University of Hong Kong) as an Assistant Professor in the Department of Computing, where I also served as Deputy Director of the Deep Learning Research and Application Centre. I earned my Ph.D. from the Department of Computer Science and Engineering at CUHK, under the supervision of Prof. Irwin King and Prof. Michael R. Lyu. I also hold an MPhil from the same department at CUHK and a Bachelor of Science degree from the Department of Computer Science and Technology at Nanjing University.

I received the 2018 Asia Pacific Neural Network Society (APNNS) Young Researcher Award and have been recognized with an Honorable Mention for the Most Influential Scholar Award for outstanding and vibrant contributions to the field of AAAI/IJCAI for outstanding and vibrant contributions to the field of AAAI/IJCAI several times. My publications are available on Google Scholar and DBLP.

My team is currently recruiting Research Assistants, Ph.D. candidates, and Postdoctoral researchers. If you are interested in joining, please email me an email: haiqin[dot]yang[at]gmail[dot]com or yanghaiqin[at]sztu[dot]edu[dot]cn.

News

Jul 03, 2026 NRITYAM: Language Models Meet Art and Heritage of Dance was accepted by ECML PKDD 2026. Congratulations to my collaborators!
Jul 02, 2026 ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL and Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality appeared at ACL 2026. Congratulations to my collaborators!
Feb 25, 2026 Glad to serve different roles for ACL ARR’26, ICML’26, IJCAI’26, KDD’26, UAI’26.
Jan 08, 2026 Sparse Adapter Fusion for Continual Learning in NLP was accepted by ECAL 2025 (main conference). Congratulations to my collaborators!
Aug 28, 2025 Glad to be invited to serve as an Area Chair for ICLR’26.

Selected Publications

  1. ACL
    Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality
    Qipeng Xie, Zi Liang, Jiafei Wu, and 6 more authors
    In Findings of the Association for Computational Linguistics, ACL 2026, San Diego, California, United States, July 2-7, 2026, 2026
  2. ACL
    ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL
    Yaxun Dai, Wenxuan Xie, Xialie Zhuang, and 7 more authors
    In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2026, San Diego, California, United States, July 2-7, 2026, 2026
  3. ECML PKDD
    NRITYAM: Language Models Meet Art and Heritage of Dance
    Punit Kumar Singh, Niladri Ghosh, Advait Joshiinst, and 3 more authors
    In Proceedings of ECML PKDD, 2026
  4. EACL
    Sparse Adapter Fusion for Continual Learning in NLP
    Min Zeng, Xi Chen, Haiqin Yang, and 1 more author
    In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2026 - Volume 1: Long Papers, Rabat, Morocco, March 24-29, 2026, 2026
  5. EMNLP
    Let’s Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models’ Understanding of Sports
    Kumar Singh, Nishant Kumar, Akash Ghosh, and 9 more authors
    In EMNLP, Nov. 4 - Nov. 9, 2025, Suzhou, China, 2025
  6. EMNLP
    Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces
    Yihuai Hong, Lei Yu, Haiqin Yang, and 2 more authors
    In EMNLP, Nov. 4 - Nov. 9, 2025, Suzhou, China, 2025
  7. ACL
    PARSQL: Enhancing Text-to-SQL through SQL Parsing and Reasoning
    Yaxun Dai, Haiqin Yang, Hao Mou, and 1 more author
    In Findings of the Association for Computational Linguistics, ACL, July 27 - August 1, 2025, Vienna, Austria, 2025
  8. NAACL
    Task-wrapped Continual Learning in Task-Oriented Dialogue Systems
    Min Zeng, Haiqin Yang, Xi Chen, and 1 more author
    In Findings of the Association for Computational Linguistics: NAACL, April 29 - May 4, 2025, Albuquerque, New Mexico, USA, 2025
  9. IEEE TKDE
    Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey
    Weixu Zhang, Yifei Wang, Yuanfeng Song, and 6 more authors
    IEEE Trans. Knowl. Data Eng., 2024
  10. EMNLP
    Dissecting Fine-Tuning Unlearning in Large Language Models
    Yihuai Hong, Yuelin Zou, Lijie Hu, and 3 more authors
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing EMNLP, November 12-16, 2024, Miami, FL, USA , 2024
  11. ACL
    A Unified One-Step Solution for Aspect Sentiment Quad Prediction
    Junxian Zhou, Haiqin Yang, Yuxuan He, and 2 more authors
    In Findings of the Association for Computational Linguistics: ACL, July 9-14, 2023, Toronto, Canada, 2023
  12. IJCAI
    Progressive Open-Domain Response Generation with Multiple Controllable Attributes
    Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, and 3 more authors
    In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI, August 19-27, 2021, Virtual Event / Montreal, Canada, 2021
  13. IEEE TNNLS
    Effective Data-Aware Covariance Estimator From Compressed Data
    Xixian Chen, Haiqin Yang, Shenglin Zhao, and 2 more authors
    IEEE Trans. Neural Networks Learn. Syst., 2020