Binh T. Nguyen

Assistant Professor, VinUniversity. At a Vietnamese institution since 2025.
Also published as: Nguyễn Tuấn Bình, Tuan Binh Nguyen, Tuan-Binh Nguyen

4 accepted papers at the ten venues since 2025: 1 in the official lists and 3 known only from personal pages, shown as +3 and tagged "unofficial" below. 0 accepted before 2026, 4 from 2026. ICLR: 3 submitted, 0 accepted, 3 rejected.

Co-authors

Khoa D. Doan (VinUni): 2 papers
Hong T.M. Chu (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 2026-10-04; it is not updated. Google Scholar counts every publication, not only the ten conferences.

	All	Since 2021
Citations	478	475
h-index	10	9
i10-index	10	9

Citations per year, as shown on Google Scholar on the day of the snapshot.

Submitted and accepted per year

All years: 4 accepted, 3 rejected and on record, and about 12 rejected elsewhere (estimate), so about 19 submissions.

Accepted papers and rejections on record (ICLR, public NeurIPS rejections, Findings) are counted; the light part estimates the rejections the other venues do not publish. The estimate uses this professor's ICLR record: 4.0 submissions per accepted paper (see About). 3 of the accepted papers are known only from personal pages.

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

3.3 co-authors per paper on average, accepted or not (fewest on an accepted paper 2, most on any submission 5), 17 different co-authors over 7 papers.
0.5 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
4 different co-authors are at another university or institution than VinUni (2 abroad, 2 in Vietnam).
The last two figures use the 4 of 7 papers whose list prints an affiliation for each author.
1 topics in 1 areas, from the conference's own label on 1 of 7 papers: Deep Learning (1).

Topic area	Topic	Papers
Deep Learning	Theory	1

Accepted papers (4)

NeurIPS 2026unofficial Birth-Death Structural Learning for 3D Gaussian Splatting
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Quan T Hong, Long Nguyen-Chi, Binh T. Nguyen
NeurIPS 2026unofficial How Finite-Rank Bottleneck Shape the Low-Rank Adaptation Landscape
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Long Nguyen-Chi, Quynh Nguyen, Thanh Nguyen Cung, Binh T. Nguyen
NeurIPS 2026unofficial The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Nguyen Phuc, Chinh D La, Duy M. H. Nguyen, Nitesh Chawla, Binh T. Nguyen, Khoa D Doan
ICML 2026 Quadratically Regularized Optimal Transport: Localization Bounds and Affine Case Analysis
Long Nguyen Chi, Nam Nguyen, Binh Nguyen

Rejected (3)

Submissions that were not accepted.

ICLR 2026, rejected The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models
The same title was accepted at NeurIPS 2026.
Nguyen Minh Phuc, Chinh Duc La, Duy Minh Ho Nguyen, Nitesh V Chawla, Binh Nguyen, Khoa D Doan
ICLR 2026, rejected Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
Bach Chi Le, Dao Van Tung, Binh Nguyen, Hong T.M. Chu
ICLR 2025, rejected Risk-Aware Distributional Intervention Policies for Language Models
Bao Nguyen, Binh Nguyen, Duy Nguyen, Viet Anh Nguyen

Before joining a Vietnamese institution (6)

Papers from before the year this person's post in Vietnam began, which the site does not count.

ICLR 2024 Bellman Optimal Stepsize Straightening of Flow-Matching Models
Not counted: before 2025, when they joined a Vietnamese institution.
Bao Nguyen, Binh Nguyen, Viet Anh Nguyen
NeurIPS 2024 Semidefinite Relaxations of the Gromov-Wasserstein Distance
Not counted: before 2025, when they joined a Vietnamese institution.
Junyu Chen, Binh Nguyen, Shang Hui Koh, Yong Sheng Soh
ICML 2024 Generative Conditional Distributions by Neural (Entropic) Optimal Transport
Not counted: before 2025, when they joined a Vietnamese institution.
Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen, Viet Anh Nguyen
NeurIPS 2022 A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Not counted: before 2025, when they joined a Vietnamese institution.
Binh Nguyen, Bertrand Thirion, Sylvain Arlot
NeurIPS 2022 Benchopt: Reproducible, efficient and collaborative optimization benchmarks
Not counted: before 2025, when they joined a Vietnamese institution.
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupre la Tour, Ghislain Durif, Cássio Fraga Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
ICML 2020 Aggregation of Multiple Knockoffs
Not counted: before 2025, when they joined a Vietnamese institution.
Tuan-Binh Nguyen, Jerome-Alexis Chevalier, Thirion Bertrand, Sylvain Arlot

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).

ICML 2026 · workshop SPIGM Applying Splat Regression Models to Particle Density Control in Radiance Fields
Quan Tran Hong, Long Nguyen-Chi, Binh Nguyen
ICML 2026 · workshop HiLD Continuous Sparsification via Minimizing Movement
Hoang Pham, Tom Jacobs, Binh Nguyen, Rebekka Burkholz, Long Tran-Thanh
NeurIPS 2023 · workshop OTML Semidefinite Relaxations of the Gromov-Wasserstein Distance
Junyu Chen, Binh Nguyen, Yong Sheng Soh

Links