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Wei Wen

Wei Wen has 2 papers in our library, in 2016–2026, most of them on Evaluation & benchmarks; often with Hai Li, Ke Wang, Ruizhi Qiao.

2 papers in our library · 2016–2026

OpenAlex · ORCID · Wikidata · h-index 32 · 152 works · 3,346 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 129 times in our library · ⭐ Paper Stars ranking: #4111

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 33 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

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Learning Structured Sparsity in Deep Neural Networks (2016 · 530 citations)
    Sparsifying a deep network weight by weight shrinks its parameter count, but the zeros end up scattered across memory.
  2. Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible Constraints (2026 · 1 citation)
    Benchmarks for search agents that must enumerate large, open-ended answer sets face a paradox. Judging completeness needs a full ground truth, but humans cannot reliably build one for such high-entropy queries. As a result, agents that find valid items missing from the annotated pool get marked as hallucinating.

 Co-authors here

5 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 129 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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