Duc-Trong Le

Assistant Professor, Head, Department of Computer Science, VNU University of Engineering and Technology. At a Vietnamese institution since 2019.
Also published as: Lê Đức Trọng, Trong Duc Le, Trong Le Duc

4 accepted papers at the ten venues since 2020: 3 in the official lists and 1 known only from personal pages, shown as +1 and tagged "unofficial" below. 2 accepted before 2026, 2 from 2026. ICLR: 0 submitted, 0 accepted, 0 rejected.

Co-authors

Quynh-Trang Pham Thi (VNU-UET): 2 papers

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	723	649
h-index	13	13
i10-index	17	16

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

Submitted and accepted per year

All years: 4 accepted, 0 rejected and on record, and about 0 rejected elsewhere (estimate), so about 4 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(ICLR, public NeurIPS rejections, Findings) are counted; the light part estimates the rejections the other venues do not publish.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

3.0 co-authors per paper on average, accepted or not (fewest on an accepted paper 2, most on any submission 4), 11 different co-authors over 4 papers.
0.5 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
3 different co-authors are at another university or institution than VNU-UET (2 abroad, 1 in Vietnam).
None of the papers carries a topic label from its conference.

Accepted papers (4)

NeurIPS 2026unofficial Disentangling Optimization Geometry via Hierarchical Polar Adapters for Class-Incremental Learning
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Dat Q Mac, Thanh Hai Dang, Duc-Trong Le, Quynh-Trang Pham Thi
CVPR 2026 BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates
Phuong-Anh Nguyen, Tien Anh Pham, Duc-Trong Le, Cam-Van Thi Nguyen
EMNLP 2023 Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
Cam Van Thi Nguyen, Tuan Anh Mai, Son Le The, Dang Hai Kieu, Duc-Trong Le
AAAI 2021 Modular Graph Transformer Networks for Multi-Label Image Classification
Hoang D. Nguyen, Xuan-Son Vu, Duc-Trong Le

Workshop papers (1)

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 CATS Semantic Grouping with Dual-Strategy Distributional Rehearsal for Continual Learning
Khoa Le Nho, Hồ Xuân Hùng, Thanh Hai Dang, Duc-Trong Le, Quynh-Trang Pham Thi

Links