VLDB 2026 Research / reviewers in the wild / expert
Khanh-Huyen Nguyen
dblp:411/3728
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0009-8585-3435ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › retrieval models › neural retrieval › dense retrieval
bi-encoder retrieval |
1.0 | 1 | 2026 | ViCSR: A Large-scale Benchmark and Lightweight Two-Stage Framework for Vietnamese Case-to-Statute Retrieval · SIGIR 2026 |
Information retrieval › retrieval models › neural retrieval
dense retrieval |
1.0 | 1 | 2026 | ViCSR: A Large-scale Benchmark and Lightweight Two-Stage Framework for Vietnamese Case-to-Statute Retrieval · SIGIR 2026 |
Information retrieval › document retrieval › domain-specific retrieval
legal information retrieval |
1.0 | 1 | 2026 | ViCSR: A Large-scale Benchmark and Lightweight Two-Stage Framework for Vietnamese Case-to-Statute Retrieval · SIGIR 2026 |
Information retrieval
reranking |
1.0 | 1 | 2026 | ViCSR: A Large-scale Benchmark and Lightweight Two-Stage Framework for Vietnamese Case-to-Statute Retrieval · SIGIR 2026 |
Methods — techniques the papers use, named apart from their topics
heterogeneous GNN · 1.0citation structure · 1.0bi-encoder · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | ViCSR: A Large-scale Benchmark and Lightweight Two-Stage Framework for Vietnamese Case-to-Statute RetrievalabstractCase-to-Statute Retrieval—identifying applicable statutes from case facts—is essential for judicial efficiency but remains underexplored in low-resource languages like Vietnamese, where annotated legal corpora are scarce and domain-specific challenges persist. To advance research in this setting, we introduce ViCSR, a new benchmark of 10,000 Vietnamese criminal judgments and 1,122 statutory articles with citation-based relevance labels. We further propose a lightweight two-stage framework that performs efficient candidate retrieval with a fine-tuned Vietnamese bi-encoder and leverages citation structure for reranking with a compact heterogeneous GNN. Experiments show clear improvements over strong sparse and dense baselines, highlighting the importance of both domain adaptation and structure-aware modeling in low-resource legal IR. We will publicly release the benchmark, code, and checkpoints. Minh-Hien Nguyen, Khanh-Huyen Nguyen, Tan-Minh Nguyen, Hoang-Quynh Le, Thi-Hai-Yen Vuong |
SIGIR | 2 |