Tuan Do

Researcher, Phenikaa University.
Also published as: Đỗ Ngọc Tuấn, Do Tuan, Tuan Ngoc Do

5 accepted papers at the ten venues since 2020: 2 in the official lists and 3 known only from personal pages, shown as +3 and tagged "unofficial" below. 0 accepted before 2026, 5 from 2026. ICLR: 0 submitted, 0 accepted, 0 rejected.

Links

OpenReview profile (~Tuan_Do3): openreview.net/profile?id=~Tuan_Do3
LinkedIn: linkedin.com/in/tuan-do-n2tp
DBLP: dblp.org/pid/96/9610

No staff page for him was found on Phenikaa University’s websites (checked on 5 October 2026). His OpenReview profile lists him as a researcher at Phenikaa University since 2025 and at N2TP Technology Solutions JSC (n2tp.com) since 2020; his ORCID record lists him as a research assistant at Phenikaa University. The company’s website (read on 5 October 2026) says it builds “autonomous AI systems with mathematical guarantees for scientific research”; its product “Platform Alpha”, “The Autonomous Research OS”, lists an “ideation engine with novelty detection” and “automated experiment design” among its features, and the site states “10+ works in top-tier venues”. The business registry lists Đỗ Ngọc Tuấn as director and legal representative of N2TP Educational Technology Company Limited (Công ty TNHH Công nghệ Giáo dục N2TP), registered on 3 June 2020, with “other education not elsewhere classified” as its main business line, among others such as IT services. LinkedIn.

Co-authors

Long Hoang Dang (PTIT): 1 paper
Nguyen Tu Uyen (NEU): 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.

Submitted and accepted per year

All years: 5 accepted, 0 rejected and on record, and about 0 rejected elsewhere (estimate), so about 5 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(ICLR, public NeurIPS rejections, Findings) are counted; the light part estimates the rejections the other venues do not publish. No ICLR submissions, so no estimate is added.

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

7.2 co-authors per paper on average, accepted or not (fewest on an accepted paper 5, most on any submission 9), 17 different co-authors over 5 papers.
4.0 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
16 different co-authors are at another university or institution than Phenikaa (8 abroad, 8 in Vietnam).
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	Causality	1

Accepted papers (5)

NeurIPS 2026unofficial Learning in Policy Transparency Games: Wedge Structure and Adaptive Certification
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Nguyen T Uyen, Khanh N Quoc, Duc H Nguyen, Ngoc Mai Vu, Phan Quoc Hung Mai, Luong Doan, Trang Le Vu Quynh, Trang Pham, Nhung Duong, Tuan Do
NeurIPS 2026unofficial Spectral Identifiability for World Models: Polynomial Projectors, Resolvent Stability, and a Krylov Bottleneck
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Phan Quoc Hung Mai, Duc H Nguyen, Luong Doan, Ngoc Mai Vu, Khanh N Quoc, Nhung Duong, Naeem Ul Islam, Tuan Do
NeurIPS 2026unofficial SympFNO: Structure-Preserving Fourier Neural Operators for Physical Surrogate Modeling
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Luong Doan, Duc H Nguyen, Khanh N Quoc, Phan Quoc Hung Mai, Ngoc Mai Vu, Bui T Hieu, Nhung Duong, Phong Ho, Long H Dang, Tuan Do
ICML 2026 The Fisher Dimension: Instance-Dependent Complexity for Causal Discovery
Luong Doan, Khanh Nguyen Quoc, Duc Hai Nguyen, Mai Phan Quoc Hung, Phong Ho, Nhung Duong, Tuan Do
ACL 2026 An Information-Theoretic Foundation for the Subregular Hierarchy
Mai Phan Quoc Hung, Khanh Nguyen Quoc, Đoàn Minh Luong, Duong Thu Ngan, Duong Thi Phuong Thao, Tuan Do