Assistant Professor, VinUniversity. At a Vietnamese institution since 2025.
Also published as: Huỳnh Thành Trung, Trung Huynh Thanh
2 accepted papers at the ten venues since 2025: 1 in the official lists and 1 known only from personal pages, shown as +1 and tagged "unofficial" below. 1 accepted before 2026, 1 from 2026. ICLR: 1 submitted, 0 accepted, 1 rejected.
Links
- Staff page: vinuni.edu.vn/people/huynh-thanh-trung
- OpenReview profile (~Thanh_Trung_Huynh1): openreview.net/profile?id=~Thanh_Trung_Huynh1
- Google Scholar: scholar.google.com/citations?user=s536Zc0AAAAJ
Co-authors
- Phi Le Nguyen (HUST): 4 papers
- Hieu Pham (VinUni): 2 papers
- Minh Do (VinUni): 1 paper
People on this site who share papers with this professor, accepted, rejected or workshop, with their institution today and the number of shared papers; see Researcher collaboration for the whole graph.
Google Scholar
A snapshot of the Google Scholar profile taken on 2026-10-02; it is not updated. Google Scholar counts every publication, not only the ten conferences.
| All | Since 2021 | |
|---|---|---|
| Citations | 2598 | 2468 |
| h-index | 23 | 23 |
| i10-index | 36 | 32 |
Submitted and accepted per year
Accepted papers per year by where the authors are
Each column is one year's accepted papers; grey papers are known only from announcements or personal pages.
Co-authors and topics
- 4.3 co-authors per paper on average, accepted or not (fewest on an accepted paper 4, most on any submission 5), 7 different co-authors over 3 papers.
- 3.5 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
- 6 different co-authors are at another university or institution than VinUni (5 abroad, 1 in Vietnam).
- The last two figures use the 2 of 3 papers whose list prints an affiliation for each author.
- 1 topics in 1 areas, from the conference's own label on 1 of 3 papers: General Machine Learning (1).
| Topic area | Topic | Papers |
|---|---|---|
| General Machine Learning | Everything Else | 1 |
Accepted papers (2)
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NeurIPS 2026unofficial
Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
-
NeurIPS 2025
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
Rejected (1)
Submissions that were not accepted.
Workshop papers (3)
Workshop papers found on OpenReview and papers placed in Findings, for reference; not counted, except that a Findings paper counts as a main-track rejection (see About).
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ICLR 2026 · workshop MALGAI,
MAPLE: Multi-Agent Prior Learning for Constructing Tree Ensembles
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ICML 2026 · workshop SPIGM
Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
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CVPR 2026 · workshop ViSCALE
Predictive Spectral Calibration for Source-Free Test-Time Regression