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Yingyi Zhang

Yingyi Zhang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Pengyue Jia, Wenlin Zhang, Xiangyu Zhao.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 4 · 19 works · 31 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #13210

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

🎓City University of Hong KongHong Kong · China2025–2026 · 14 paperscurrent🎓Dalian University of TechnologyDalian · China2023–2026 · 12 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workCognitive Neuroscience · 1 workNeuroscience · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search (2026 · 1 citation)
    Agentic (deep) search lets an LLM alternate between reasoning and retrieval. Each round adds thinking traces and retrieved passages, so the context grows and key evidence gets buried. The authors call this memory dilution. Existing fixes that summarize, filter or prune memory often miss the shifting intent of…
  2. Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory (2026)
    LLM agents that personalize conversations over many sessions need a long-term user memory, because the context window cannot hold the whole history.

 Co-authors here

11 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.

Updated

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