Dinh Viet Sang

Lecturer, Vice Dean, School of Information and Communication Technology; Deputy Managing Director, BKAI, Hanoi University of Science and Technology. At a Vietnamese institution since 2014.
Also published as: Đinh Viết Sang, Sang Dinh Viet, Viet Sang Dinh, Sang Viet Dinh, Viet-Sang Dinh, Dinh V. Sang, Sang Dinh

3 accepted papers at the ten venues since 2020. 2 accepted before 2026, 1 from 2026. ICLR: 0 submitted, 0 accepted, 0 rejected.

Co-authors

Ngo Van Linh (HUST): 2 papers
Nguyen Thi Ngoc Diep (VNU-UET): 2 papers
Nam Le Hai (HUST): 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	1324	1155
h-index	17	15
i10-index	30	25

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

Submitted and accepted per year

All years: 3 accepted, 0 rejected and on record, and about 0 rejected elsewhere (estimate), so about 3 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(ICLR, public NeurIPS rejections, Findings) are counted; the light part estimates the rejections the other venues do not publish.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

4.7 co-authors per paper on average, accepted or not (fewest on an accepted paper 4, most on any submission 5), 12 different co-authors over 3 papers.
1.3 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
7 different co-authors are at another university or institution than HUST (4 abroad, 3 in Vietnam).
None of the papers carries a topic label from its conference.

Accepted papers (3)

ACL 2026 LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, Dinh Viet Sang, Nguyen Thi Ngoc Diep, Trung Le
ICCV 2025 More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning
Luong Tran, Thieu Vo, Anh Nguyen, Sang Dinh, Van Nguyen
ACL 2025 Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction
Thanh Duc Pham, Nam Le Hai, Linh Ngo Van, Nguyen Thi Ngoc Diep, Sang Dinh, Thien Huu Nguyen

Links