Associate Professor, Head, Department of Applied Informatics, University of Science, VNU-HCM. At a Vietnamese institution since 2012.
Also published as: Nguyễn Thanh Bình, Binh Nguyen Thanh, Binh T. Nguyen
8 accepted papers at the ten venues since 2020. 5 accepted before 2026, 3 from 2026. ICLR: 3 submitted, 0 accepted, 3 rejected.
Links
- Homepage: sites.google.com/site/ntbinhpolytechnique
- OpenReview profile (~Binh_T._Nguyen1): openreview.net/profile?id=~Binh_T._Nguyen1
- DBLP: dblp.org/pid/06/2545
- Google Scholar: scholar.google.com/citations?user=dXEb3PMAAAAJ
Co-authors
- Khoa D. Doan (VinUni): 4 papers
- An Mai (HCMIU): 1 paper
- Danh Le-Phuoc (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 | 2855 | 2400 |
| h-index | 26 | 25 |
| i10-index | 74 | 65 |
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
- 6.5 co-authors per paper on average, accepted or not (fewest on an accepted paper 4, most on any submission 11), 55 different co-authors over 11 papers.
- 4.4 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
- 34 different co-authors are at another university or institution than HCMUS (25 abroad, 9 in Vietnam).
- The last two figures use the 8 of 11 papers whose list prints an affiliation for each author.
- 3 topics in 3 areas, from the conference's own label on 3 of 11 papers: Deep Learning (1), General Machine Learning (1), Computer Vision (1).
| Topic area | Topic | Papers |
|---|---|---|
| Computer Vision | – | 1 |
| Deep Learning | Self-Supervised Learning | 1 |
| General Machine Learning | Everything Else | 1 |
Accepted papers (8)
-
CVPR 2026
HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
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AAAI 2026
Reinforce Trustworthiness in Multimodal Emotional Support System
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AAAI 2026
VietCheckMed: Explainable Regulatory Compliance Checking for Medical Advertisements on Vietnamese Social Media
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NeurIPS 2025
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
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NeurIPS 2025
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
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NeurIPS 2024
Accelerating Transformers with Spectrum-Preserving Token Merging
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NeurIPS 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
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EMNLP 2023
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
Rejected (3)
Submissions that were not accepted.
-
ICLR 2026, rejected
OptSHAP: Explaining Dimensionality Reduction-based Models for Tabular Data via Optimization
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ICLR 2025, rejected
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Adaptive Importance Sampling
The same title was accepted at NeurIPS 2025.
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ICLR 2025, rejected
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
Not main track (1)
Datasets & Benchmarks, journal and other tracks, which the site does not count.
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ICLR 2023, rejected
Adaptive-saturated RNN: Remember more with less instability
Not counted: Tiny Papers track.
Workshop papers (2)
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).