--- title: "James Tin-Yau Kwok — author profile and papers in our library" description: "James Tin-Yau Kwok, Hong Kong University of Science and Technology: 4 papers on Elamur Research (2023–2026), h-index 63…" canonical: "https://research.elamur.ai/free/en/authors/james-tin-yau-kwok/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/james-tin-yau-kwok/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / James Tin-Yau Kwok # James Tin-Yau Kwok James Tin-Yau Kwok has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jincheng Yu](https://md.research.elamur.ai/free/en/authors/jincheng-yu/), [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/), [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5070273088) · [ORCID](https://orcid.org/0000-0002-4828-8248) · [Wikidata](https://www.wikidata.org/wiki/Q141118261) · [**h-index 63**](https://openalex.org/authors/A5070273088) · [353 works](https://openalex.org/works?filter=author.id:A5070273088) · [21,750 citations](https://openalex.org/works?filter=author.id:A5070273088&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/#papers) · [🔗 Cited 697 times in our library](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3617](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3617) 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=James+Tin-Yau+Kwok) · [Semantic Scholar](https://www.semanticscholar.org/search?q=James+Tin-Yau+Kwok) · [dblp](https://dblp.org/search?q=James+Tin-Yau+Kwok) · [ACL Anthology](https://aclanthology.org/search/?q=James+Tin-Yau+Kwok) ## Affiliations [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2001–2026 · 298 papersEmployment · Professor, Dept of Computer Science & Engineering*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**Hong Kong Baptist University** Hong Kong · China 1999–2020 · 8 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-baptist-university/) · [🎓**Jilin University** Changchun · China 2022–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2024–2026 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🏢**Amazon** Seattle · United States 2020 · 2 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2010 · 2 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/year/2026/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/)** *(2023 · 565 citations)* Open-source LLMs such as LLaMA-2 lag well behind closed models on multi-step maths word problems. Fine-tuning helps, but it depends on having enough varied training questions. MetaMath addresses this by growing the GSM8K and MATH training sets from the question side as well as the answer side, producing a dataset… 2. **[PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis](https://md.research.elamur.ai/free/en/papers/chen-2023-pixart-alpha-fast-training-diffusion/)** *(2023 · 87 citations)* Training state-of-the-art text-to-image (T2I) diffusion models takes thousands of GPU days and hundreds of thousands of dollars. 3. **[Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework](https://md.research.elamur.ai/free/en/papers/yan-2026-sculpting-vector-space-efficient-multi/)** *(2026 · 2 citations)* Multi-vector models for Visual Document Retrieval (VDR), such as those in the ColPali family, represent each page as hundreds or thousands of patch embeddings. 4. **[Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffusion-truncated-blocks-fast-high/)** *(2026)* The paper examines a weakness of diffusion-based large language models (dLLMs), which produce text by repeatedly filling in masked positions rather than writing left to right. ## All works 11 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Generalizing from a Few Examples ↗](https://doi.org/10.1145/3386252) ACM Computing Surveys · no summary yet**Yaqing Wang et al.*2020 · 2,778 citations* 2. [**MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models arXiv:2309.12284**Longhui Yu, Weisen Jiang, Han Shi, et al.*2023 · 565 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/) 3. **[KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion ↗](https://aclanthology.org/2023.findings-emnlp.580/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Yanbin Wei et al.*2023 · 118 citations* 4. **[Semi-supervised learning using label mean ↗](https://doi.org/10.1145/1553374.1553456) International Conference on Machine Learning · no summary yet**Yu-Feng Li, James Tin-Yau Kwok, Zhi‐Hua Zhou*2009 · 109 citations* 5. [**PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426**Junsong Chen, Jincheng Yu, Chongjian Ge, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-pixart-alpha-fast-training-diffusion/) 6. **[A regularization framework for multiple-instance learning ↗](https://doi.org/10.1145/1143844.1143869) International Conference on Machine Learning · no summary yet**Pak-Ming Cheung, James Tin-Yau Kwok*2006 · 81 citations* 7. **[Efficient Learning of Timeseries Shapelets ↗](https://doi.org/10.1609/aaai.v30i1.10178) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Lu Hou, James Tin-Yau Kwok, Jacek M. Żurada*2016 · 75 citations* 8. **[Time Series Anomaly Detection with Multiresolution Ensemble Decoding ↗](https://doi.org/10.1609/aaai.v35i11.17152) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Lifeng Shen et al.*2021 · 56 citations* 9. **[Forward-Backward Reasoning in Large Language Models for Mathematical Verification ↗](https://aclanthology.org/2024.findings-acl.397/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Weisen Jiang et al.*2024 · 44 citations* 10. **[Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework](https://md.research.elamur.ai/free/en/papers/yan-2026-sculpting-vector-space-efficient-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Yan, Mingdong Ou, Yi Cao, et al.*2026 · 2 citations* 11. **[Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffusion-truncated-blocks-fast-high/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuyan Zhou, Weiyu Chen, James Kwok*2026* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Jincheng Yu](https://md.research.elamur.ai/free/en/authors/jincheng-yu/) ×2 - [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/) ×2 - [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/) - [Han Shi](https://md.research.elamur.ai/free/en/authors/han-shi/) - [Jiahao Huo](https://md.research.elamur.ai/free/en/authors/jiahao-huo/) - [Lewei Yao](https://md.research.elamur.ai/free/en/authors/lewei-yao/) - [Ping Luo](https://md.research.elamur.ai/free/en/authors/ping-luo/) - [Shuliang Liu](https://md.research.elamur.ai/free/en/authors/shuliang-liu/) - [Xin Zou](https://md.research.elamur.ai/free/en/authors/xin-zou/) - [Xuming Hu](https://md.research.elamur.ai/free/en/authors/xuming-hu/) - [Yi Cao](https://md.research.elamur.ai/free/en/authors/yi-cao/) - [Yibo Yan](https://md.research.elamur.ai/free/en/authors/yibo-yan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - International Conference on Machine Learning ×2 - Proceedings of the AAAI Conference on Artificial Intelligence ×2 - ACM Computing Surveys - Findings of the Association for Computational Linguistics: ACL 2024 - Findings of the Association for Computational Linguistics: EMNLP 2023 ## Cited by Papers of our library cite their works 697 times (of the 149,439 papers whose bibliographies we read); [199 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/cited-by/). Updated 2 November 2026