VLDB 2026 Research / reviewers in the wild / expert
Mai-Vu Tran
dblp:58/8938
· DBLP profile ↗
7ranked-venue papers
1as first author
3since 2021 · last 2023
0000-0003-1602-5424ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 1 first-author · 3 since 2021Databases, data management, data science and information retrieval · 4 · 3 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Integrating Ontology-Based Knowledge to Improve Biomedical Multi-Document Summarization Model
Quoc-An Nguyen, Khanh-Vinh Nguyen, Hoang-Quynh Le, Duy-Cat Can, Tam Doan Thanh, Trung-Hieu Do, Mai-Vu Tran |
ACIIDS (2) | 7 |
| 2023 | GIFT4Rec: An Effective Side Information Fusion Technique Apply to Graph Neural Network for Cold-Start Recommendation
Tran-Ngoc-Linh Nguyen, Chi-Dung Vu, Hoang-Ngan Le, Anh-Dung Hoang, Xuan-Hieu Phan, Quang-Thuy Ha, Hoang-Quynh Le, Mai-Vu Tran |
ACIIDS (1) | 8 |
| 2023 | Vietnamese Multidocument Summarization Using Subgraph Selection-Based Approach with Graph-Informed Self-attention Mechanism
Tam Doan Thanh, Cam-Van Thi Nguyen, Huu-Thin Nguyen, Mai-Vu Tran, Quang-Thuy Ha |
ACIIDS (2) | 4 |
| 2019 | A Character-Level Deep Lifelong Learning Model for Named Entity Recognition in Vietnamese Text
Ngoc-Vu Nguyen, Thi-Lan Nguyen, Cam-Van Nguyen Thi, Mai-Vu Tran, Quang-Thuy Ha |
ACIIDS (1) | 4 |
| 2012 | A Hybrid Approach to Finding Phenotype Candidates in Genetic Texts
Nigel Collier, Mai-Vu Tran, Hoang-Quynh Le, Anika Oellrich, Ai Kawazoe, Martin Hall-May, Dietrich Rebholz-Schuhmann |
COLING | 2 |
| 2012 | A Model of Vietnamese Person Named Entity Question Answering System
Mai-Vu Tran, Duc-Trong Le, Xuan-Tu Tran, Tien-Tung Nguyen |
PACLIC | 1 |
| 2011 | A Solution for Grouping Vietnamese Synonym Feature Words in Product ReviewsabstractFeature-based opinion mining is an interesting opinion mining issue. For this problem, feature words/phrases are discovered at sentence level. However, customers usually use different words/phrases referring to the same feature in reviews. To produce a meaningful summary, synonym feature words/phrases in domain, need to be grouped under the same feature. This paper proposes a solution for grouping synonym features in Vietnamese customer reviews based on semi-supervised SVM-kNN classification and HAC clustering. Experimental results on reviews in mobile phone domain demonstrate that the proposed method is promising for the task. The Purity, Accuracy measures are 0.68 and 0.65 respectively. Huyen-Trang Pham, Tien-Thanh Vu, Mai-Vu Tran, Quang-Thuy Ha |
APSCC | 3 |