🧑‍🔬 Lionel Ming-shuan Ni

🏛️ Affiliations

🎓Hong Kong University of Science and TechnologyHong Kong · China2002–2026 · 283 papersEmployment since 2002 · Chair Professor, Computer Science and Engineeringcurrent🎓The Hong Kong University of Science and Technology (Guangzhou)Guangzhou · China2012–2026 · 34 paperscurrent🎓Michigan State UniversityEast Lansing · United States1981–2005 · 160 papers🎓University of MacauMacao · China2015–2019 · 48 papers🎓Shanghai Jiao Tong UniversityShanghai · China2007–2015 · 15 papers🔬Guangzhou HKUST Fok Ying Tung Research InstituteGuangzhou · China2013–2014 · 9 papers🎓Institute of Electrical and Electronics EngineersPiscataway · United States2005–2007 · 4 papers🏛️Chinese Academy of SciencesBeijing · China2009–2011 · 3 papers🔬Shenzhen Institutes of Advanced TechnologyShenzhen · China2009–2010 · 2 papers🎓Imperial College LondonLondon · United Kingdom2008 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models (2024 · 50 citations)
   OpenAI's o1 suggested that LLMs reason better when they use extra compute at inference and learn through reinforcement learning.
2. QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model (2024 · 10 citations)
   Adapting LLM agents to specialised fields such as quantitative investment is difficult because a high-quality domain knowledge base (for example, a library of financial alphas) is expensive or impractical to assemble by hand.

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. Generalizing from a Few Examples ↗ACM Computing Surveys · no summary yetYaqing Wang et al.2020 · 2,778 citations
2. DN-DETR: Accelerate DETR Training by Introducing Query DeNoising ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetFeng Li et al.2022 · 1,061 citations
3. Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetFeng Li et al.2023 · 576 citations
4. OpenR: An Open Source Framework for Advanced Reasoning with Large Language ModelsarXiv:2410.09671Jun Wang, Meng Fang, Ziyu Wan, et al.2024 · 50 citations
5. QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language ModelarXiv:2402.03755Saizhuo Wang, Hang Yuan, Lionel M. Ni, et al.2024 · 10 citations

🤝 Co-authors here

10 co-authors with a page, the most papers together first.

• Hang Yuan
• Jiachen Zhu
• Jian Guo
• Jun Wang
• Lei Chen
• Linyi Yang
• Meng Fang
• Muning Wen
• Yan Song
• Ying Wen

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
• ACM Computing Surveys

🔗 Cited by

Papers of our library cite their works 106 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

Updated 3 November 2026

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