Lecturer, Posts and Telecommunications Institute of Technology. At a Vietnamese institution since 2025.
Also published as: Võ Ngọc Bích Uyên, Uyen Vo, Ngoc Bich Uyen Vo, Uyen Ngoc Bich Vo
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. 0 accepted before 2026, 2 from 2026. ICLR: 0 submitted, 0 accepted, 0 rejected.
Links
- Staff page: ai.ptit.edu.vn/team/ths-vo-ngoc-bich-uyen
- OpenReview profile (~Vo_Ngoc_Bich_Uyen1): openreview.net/profile?id=~Vo_Ngoc_Bich_Uyen1
- Google Scholar: scholar.google.com/citations?user=dTA1kUoAAAAJ
Co-authors
- Cuong Pham (PTIT): 1 paper
- Thai Khanh Nguyen (PTIT): 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 | 9 | 9 |
| h-index | 2 | 2 |
| i10-index | 0 | 0 |
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
- 4.5 co-authors per paper on average, accepted or not (fewest on an accepted paper 4, most on any submission 5), 6 different co-authors over 2 papers.
- 2.5 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
- 5 different co-authors are at another university or institution than PTIT (3 abroad, 2 in Vietnam).
- 1 topics in 1 areas, from the conference's own label on 1 of 2 papers: Deep Learning (1).
| Topic area | Topic | Papers |
|---|---|---|
| Deep Learning | Sequential Models, Time series | 1 |
Accepted papers (2)
-
NeurIPS 2026unofficial
ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
-
ICML 2026oral
MuonSSM: Orthogonalizing State Space Models for Sequence Modeling