Haiqin Yang
Haiqin Yang has 2 papers in our library, in 2026; often with Kaishun Wu, Min Zeng, Xi Chen.
OpenAlex · ORCID · Wikidata · h-index 29 · 110 works · 3,770 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 41 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #12950
Affiliations
🎓Shenzhen Technology UniversityShenzhen ·
China2025–2026 · 7 papersEmployment since 2025 · Full Professor🎓Chinese University of Hong KongHong Kong ·
China2001–2021 · 36 papersEducation 2001–2003 · M. Phil., Computer Science and EngineeringEmployment 2011–2016 · Postdoctoral fellow, Computer Science and EngineeringEducation 2007–2011 · PhD, Computer Science and Engineering🎓Hang Seng University of Hong KongShatin ·
China2016–2019 · 14 papersEmployment 2016–2018 · Assistant Professor, Department of Computing🎓Chinese University of Hong Kong, ShenzhenShenzhen ·
China2012–2016 · 12 papers🏢Ping AnShenzhen ·
China2020–2021 · 9 papers🏢MeituanBeijing ·
China2018–2019 · 4 papers🎓Nanjing UniversityNanjing ·
China1997–2024 · 1 paperEducation 1997–2001
🏛️International Digital Economy Academy (IDEA)Shenzhen ·
China2021–2024Employment 2021–2024 · Principal Researcher
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work
Works by year
2020s
Papers
- Sparse Adapter Fusion for Continual Learning in NLP (2026 · 1 citation)
Continual learning systems must take on a sequence of new tasks without losing what they learned on earlier ones, a failure known as catastrophic forgetting. - Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality (2026)
Large language models often react strongly to small wording changes in a prompt. Prior work mostly treats this as a black-box optimization problem or examines whole templates, so it does not explain which words make a prompt dependable. The authors instead analyze prompt sensitivity statistically at the n-gram token…
All works
- Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetCheng Chen et al.572 citations
- STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShenglin Zhao et al.2016 · 241 citations
- HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetWenxiang Jiao et al.2019 · 91 citations
- Sparse Adapter Fusion for Continual Learning in NLPConference of the European Chapter of the Association for Computational Linguistics (EACL)Min Zeng, Xi Chen, Haiqin Yang, et al.2026 · 1 citation
- Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on QualityFindings of the Association for Computational LinguisticsQipeng Xie, Zi Liang, Jiafei Wu, et al.2026
Co-authors here
Venues
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Cited by
Updated
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