Minh Do

Professor, Dean, College of Engineering and Computer Science, VinUniversity.
Also published as: Đỗ Ngọc Minh, Minh N. Do, Ngoc Minh Do

3 accepted papers at the ten venues since 2020. 1 accepted before 2026, 2 from 2026. ICLR: 3 submitted, 1 accepted, 2 rejected.

Co-authors

Khoa D. Doan (VinUni): 1 paper
Phi Le Nguyen (HUST): 1 paper
Thanh Trung Huynh (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	34438	9444
h-index	73	44
i10-index	227	133

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

Submitted and accepted per year

All years: 3 accepted, 2 rejected and on record, and about 2 rejected elsewhere (estimate), so about 7 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(ICLR, public NeurIPS rejections, Findings) are counted; the light part estimates the rejections the other venues do not publish.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: 2.0 submissions per accepted paper (see About).

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

3.4 co-authors per paper on average, accepted or not (fewest on an accepted paper 2, most on any submission 6), 16 different co-authors over 5 papers.
3.0 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
9 different co-authors are at another university or institution than VinUni (9 abroad, 0 in Vietnam).
The last two figures use the 3 of 5 papers whose list prints an affiliation for each author.
1 topics in 1 areas, from the conference's own label on 1 of 5 papers: General Machine Learning (1).

Topic area	Topic	Papers
General Machine Learning	Representation Learning	1

Accepted papers (3)

ICLR 2026 UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
Hangke Sui, Yuqing Wang, Minh Do
ECCV 2026 AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation
Eric Ji, Qiran Hu, Wufei Ma, Sarthak Jain, Yingying Li, Minh Do, Yaoyao Liu
IJCAI 2025 Robult: Leveraging Redundancy and Modality-Specific Features for Robust Multimodal Learning
Duy A. Nguyen, Abhi Kamboj, Minh N. Do

Rejected (2)

Submissions that were not accepted.

ICLR 2026, rejected Nonparametric Unsupervised Data Condensation for Gigapixel Histological Images
Duong M. Nguyen, Trong Nghia Hoang, Thanh Trung Huynh, Phi Le Nguyen, Minh N. Do
ICLR 2025, rejected Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
Duy A. Nguyen, Do Huu Quan, Khoa D Doan, Minh N. Do

Not main track (1)

Datasets & Benchmarks, journal and other tracks, which the site does not count.

NeurIPS 2026unofficial Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
Not counted: the paper lists this author at University of Illinois, not at VinUni.
Unofficial: name, confirmed by hand; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Duong Nguyen, Nghia Hoang, Hang T Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Minh Do

Links