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Weiqing He

Weiqing He has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Guangyi Liu, Hao Wang, Kexin Zhang.

2 papers in our library · 2026

OpenAlex · h-index 5 · 10 works · 146 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 6 times in our library · ⭐ Paper Stars ranking: #11709

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 Science and Technology of ChinaHefei · China2008–2011 · 4 papers🎓Monash UniversityMelbourne · Australia1997–2003 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksHuman-Computer Interaction · 1 workInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents (2026 · 6 citations)
    Mobile agents driven by multimodal LLMs usually act only through the interface: they tap, swipe and type step by step. This is flexible but slow. Shortcuts such as APIs, deep-links and RPA scripts can skip whole sequences of GUI steps, but no benchmark has systematically tested agents that mix the two.
  2. UCS: Estimating Unseen Coverage for Improved In-Context Learning (2026)
    Few-shot prompting is highly sensitive to which examples go into the prompt. Existing selectors rank candidates by relevance, diversity or information-based criteria, but none measures how much of a task's hidden structure a chosen set actually exposes. The authors propose Unseen Coverage Selection (UCS), a…

 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.

 Cited by

Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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