--- title: "Hai Ye · Tianjin University — author profile and papers" description: "Hai Ye, Tianjin University: 2 papers on Elamur Research (2021–2025), h-index 20 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/hai-ye/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hai-ye/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hai Ye # Hai Ye Hai Ye has 2 papers in our library, in 2021–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/), [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/), [Bosheng Ding](https://md.research.elamur.ai/free/en/authors/bosheng-ding/). 2 papers in our library · 2021–2025 [OpenAlex](https://openalex.org/A5113763478) · [ORCID](https://orcid.org/0009-0003-1813-0903) · [**h-index 20**](https://openalex.org/authors/A5113763478) · [82 works](https://openalex.org/works?filter=author.id:A5113763478) · [1,326 citations](https://openalex.org/works?filter=author.id:A5113763478&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hai-ye/#papers) · [🔗 Cited 200 times in our library](https://md.research.elamur.ai/free/en/authors/hai-ye/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6314](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6314) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Hai+Ye) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hai+Ye) · [dblp](https://dblp.org/search?q=Hai+Ye) · [ACL Anthology](https://aclanthology.org/search/?q=Hai+Ye) ## Affiliations [🎓**National University of Singapore** Singapore · Singapore 2020–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**Tianjin University** Tianjin · China 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🏢**State Grid Corporation of China** Beijing · China 2018–2025 · 14 papers](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) · [🎓**Dongguan University of Technology** Dongguan · China 2013–2024 · 13 papers](https://ror.org/01m8p7q42) · [🎓**Beihang University** Beijing · China 2017–2019 · 5 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**Northeastern University** Boston · United States 2011–2019 · 3 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university/) · [🎓**Shenzhen University** Shenzhen · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) · [🎓**Qingyuan Polytechnic** Qingyuan · China 2015–2023 · 2 papers](https://ror.org/031dnbd86) · [🎓**Soochow University** Suzhou · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/soochow-university/) · [🎓**China Pharmaceutical University** Nanjing · China 2007–2008 · 2 papers](https://ror.org/01sfm2718) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/hai-ye/year/2025/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/hai-ye/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation](https://md.research.elamur.ai/free/en/papers/he-2021-effectiveness-adapter-based-tuning-pretrained/)** *(2021 · 204 citations)* Adapter-based tuning inserts small trainable modules into a frozen pretrained language model (PrLM). Earlier work valued it mainly for saving parameters. This paper asks a different question: when does it actually beat full fine-tuning? The authors use the Houlsby et al. adapter design. Each transformer layer gets… 2. **[100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-100-days-after-deepseek/)** *(2025 · 9 citations)* DeepSeek-R1 showed that explicit step-by-step reasoning can be trained into language models cheaply. However, DeepSeek did not publish full recipes, training data or configurations for DeepSeek-R1-Zero, DeepSeek-R1 or the distilled models. This survey collects the open replication efforts that appeared in the roughly… ## All works 5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation](https://md.research.elamur.ai/free/en/papers/he-2021-effectiveness-adapter-based-tuning-pretrained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruidan He, Linlin Liu, Hai Ye, et al.*2021 · 204 citations* 2. **[Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions ↗](https://aclanthology.org/N18-1168/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Hai Ye et al.*2018 · 196 citations* 3. **[Semi-Supervised Learning for Neural Keyphrase Generation ↗](https://aclanthology.org/D18-1447/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Hai Ye, Lu Wang*2018 · 129 citations* 4. **[Interpretable Rationale Augmented Charge Prediction System ↗](https://aclanthology.org/C18-2032/) Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations · no summary yet**Xin Jiang et al.*2018 · 60 citations* 5. [**100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models arXiv:2505.00551**Chong Zhang, Yue Deng, Xiang Lin, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-100-days-after-deepseek/) ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/) ×2 - [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/) - [Bosheng Ding](https://md.research.elamur.ai/free/en/authors/bosheng-ding/) - [Chong Zhang](https://md.research.elamur.ai/free/en/authors/chong-zhang/) - [Linlin Liu](https://md.research.elamur.ai/free/en/authors/linlin-liu/) - [Liying Cheng](https://md.research.elamur.ai/free/en/authors/liying-cheng/) - [Luo Si](https://md.research.elamur.ai/free/en/authors/luo-si/) - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) - [Qingyu Tan](https://md.research.elamur.ai/free/en/authors/qingyu-tan/) - [Ruidan He](https://md.research.elamur.ai/free/en/authors/ruidan-he/) - [Xiang Lin](https://md.research.elamur.ai/free/en/authors/xiang-lin/) - [Xingxuan Li](https://md.research.elamur.ai/free/en/authors/xingxuan-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) - Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing - Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations ## Cited by Papers of our library cite their works 200 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hai-ye/cited-by/). Updated 1 November 2026