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Haoqi Fan

Haoqi Fan has 2 papers in our library, in 2019–2025, most of them on Language models & pretraining, Vision & language; often with Dong Guo, Jian Wang, Kaiming He.

2 papers in our library · 2019–2025

OpenAlex · h-index 27 · 58 works · 24,322 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 561 times in our library · ⭐ Paper Stars ranking: #164

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

🎓Beijing University of TechnologyBeijing · China2012–2026 · 6 paperscurrent🏢ByteDanceBeijing · China2025–2026 · 3 paperscurrent🎓Fudan UniversityShanghai · China2026 · 1 papercurrent🏢MetaMenlo Park · United States2017–2023 · 21 papers🏢MetaLondon · United Kingdom2017–2021 · 4 papers🎓University of Maryland, College ParkCollege Park · United States2024–2025 · 2 papers🎓Carnegie Mellon UniversityPittsburgh · United States2016–2017 · 2 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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 works

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

 Works by year

2020s

20251 paperSeed1.5-VL Technical Report

2010s

20191 paperMomentum Contrast for Unsupervised Visual Representation Learning

 Papers

The most cited first (OpenAlex and our library).

  1. Momentum Contrast for Unsupervised Visual Representation Learning (2019 · 13,151 citations)
    Unsupervised pre-training dominates NLP (GPT, BERT), but in computer vision supervised ImageNet pre-training was still the default because self-supervised features performed worse.
  2. Seed1.5-VL Technical Report (2025 · 64 citations)
    Seed1.5-VL is ByteDance Seed's vision-language foundation model for general multimodal understanding and reasoning. It targets weaknesses that remain in current VLMs, especially the lack of rich annotations for low-level perceptual concepts.

 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 561 times (of the 141,840 papers whose bibliographies we read); 43 citing papers with a page here →.

Updated

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