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Zhenyang Li

Zhenyang Li has 2 papers in our library, in 2026, most of them on Vision & language; often with Dawei Yin, Jiang Zhong, Jie Zhang.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 13 · 58 works · 1,182 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 11 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #12333

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Hong KongPok Fu Lam · China2025–2026 · 9 papersEmployment🎓University of AmsterdamAmsterdam · Netherlands2012–2018 · 8 papers🏢BaiduBeijing · China2022–2026 · 6 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2025–2026 · 5 papers🎓Shandong UniversityJinan · China2023–2024 · 4 papers🎓City University of Hong KongHong Kong · China2025–2026 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksInformation Systems · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Vision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search (2026)
    Multimodal LLMs trained with reinforcement learning can call search engines while answering knowledge-heavy visual questions.
  2. From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation (2026)
    Generative recommenders produce semantic item IDs one step at a time. This left-to-right training tends to anchor them on the most recent interactions and miss longer-range user intent. To counter this, the authors introduce Masked History Learning (MHL), which changes how decoder-only generative models are trained.…

All works

3 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. Tracking by Natural Language Specification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhenyang Li et al.2017 · 188 citations
  2. DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Guangming Qin, Yuhao Deng, Yukun Zhao, et al.2026
  3. From Past To Path: Masked History Learning for Next-Item Prediction in Generative RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Kaiwen Wei, Kejun he, Xiaomian Kang, et al.2026

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 11 times (of the 149,439 papers whose bibliographies we read).

Updated

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