Elamur Research⌕
☰
home / authors / Hao Lu

Hao Lu

Hao Lu has 2 papers in our library, in 2018–2026, most of them on Coreference resolution, Vision & language, English; often with Alan Yuille, Hong Chen, Jiaqi Tang.

2 papers in our library · 2018–2026

OpenAlex · ORCID · Wikidata · h-index 37 · 151 works · 5,686 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 52 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7028

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. 21 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. PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution (2018 · 84 citations)
    PreCo is 38K documents and 12.5M words of English reading-comprehension passages from Chinese middle- and high-school tests, chosen because their vocabulary (about 3,000 common words) resembles a preschooler's and because a small vocabulary raises the overlap between training and test, so that errors reflect…
  2. LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization (2026 · 3 citations)
    GUI agents built on multimodal LLMs often click or point at the wrong spot. Supervised Fine-Tuning (SFT) handles coordinates poorly. Earlier reinforcement-learning approaches judge location coarsely, using text matching, fixed IoU thresholds, or rigid decision boundaries. UI-TARS-style DPO also needs hand-built…

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. Learning to Upsample by Learning to Sample ↗arXiv:2308.15085 · no summary yetWenze Liu et al.2023 · 792 citations
  2. Indices Matter: Learning to Index for Deep Image Matting ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetHao Lü et al.2019 · 201 citations
  3. From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetHaipeng Xiong et al.2019 · 199 citations
  4. PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference ResolutionHong Chen, Zhenhua Fan, Hao Lu, et al.English · 84 citations

 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 52 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hao-lu/