VLDB 2026 Research / reviewers in the wild / expert
Xuan-Bach Le
dblp:289/6184
· DBLP profile ↗
10ranked-venue papers
3as first author
9since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 8 · 1 first-author · 8 since 2021Graphics, computer vision, multimedia, augmented reality and games · 4 · 4 since 2021Software engineering, systems software and programming languages · 2 · 2 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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% | |
| Theoretical computer science
2 papers |
Logic in computer science · 76% Quantum computing and quantum information · 24% | |
| Software engineering, system software, and programming languages
1 paper |
Program verification · 100% | |
| Artificial intelligence
1 paper |
Reinforcement learning · 100% |
Topics — the 14 heaviest of 14, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › interactive information retrieval
adaptive retrieval |
1.0 | 1 | 2026 | QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval · ACL (1) 2026 |
Information retrieval › retrieval models › neural retrieval
dense retrieval |
1.0 | 1 | 2026 | QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval · ACL (1) 2026 |
Information retrieval
query understanding |
1.0 | 1 | 2026 | QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval · ACL (1) 2026 |
Information retrieval
retrieval models |
1.0 | 1 | 2026 | QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval · ACL (1) 2026 |
Machine learning › Reinforcement learning › markov decision process
average-reward reinforcement learning |
0.8 | 1 | 2024 | Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards · NeurIPS 2024 |
Program verification › modular reasoning
local reasoning |
0.6 | 1 | 2022 | A Quantum interpretation of separating conjunction for local reasoning of Quantum programs based on separation logic · Proc. ACM Program. Lang. 2022 |
Program verification › code-level verification
quantum program verification |
0.6 | 1 | 2022 | A Quantum interpretation of separating conjunction for local reasoning of Quantum programs based on separation logic · Proc. ACM Program. Lang. 2022 |
Logic in computer science
program logic |
0.6 | 1 | 2022 | A Quantum interpretation of separating conjunction for local reasoning of Quantum programs based on separation logic · Proc. ACM Program. Lang. 2022 |
Logic in computer science › program logic
separation logic |
0.6 | 1 | 2022 | A Quantum interpretation of separating conjunction for local reasoning of Quantum programs based on separation logic · Proc. ACM Program. Lang. 2022 |
Logic in computer science › temporal logic
linear temporal logic |
0.2 | 1 | 2024 | Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards · NeurIPS 2024 |
Logic in computer science
temporal logic |
0.2 | 1 | 2024 | Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards · NeurIPS 2024 |
Quantum computing and quantum information › quantum algorithms
deutsch-jozsa algorithm |
0.2 | 1 | 2022 | A Quantum interpretation of separating conjunction for local reasoning of Quantum programs based on separation logic · Proc. ACM Program. Lang. 2022 |
Quantum computing and quantum information › quantum algorithms › quantum search
grover's algorithm |
0.2 | 1 | 2022 | A Quantum interpretation of separating conjunction for local reasoning of Quantum programs based on separation logic · Proc. ACM Program. Lang. 2022 |
Quantum computing and quantum information
quantum algorithms |
0.2 | 1 | 2022 | A Quantum interpretation of separating conjunction for local reasoning of Quantum programs based on separation logic · Proc. ACM Program. Lang. 2022 |
Methods — techniques the papers use, named apart from their topics
optimality-preserving translation · 1.5average-reward optimization · 1.5quantum frame rule · 1.1hoare-style inference · 1.1query-wise adaptation · 1.0dual-perspective retrieval · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SBV-LawGraph: A Hybrid RAG Approach Integrating Knowledge Graph for the State Bank of Vietnam Legal Documents
Khoa Phan, Xuan-Bach Le |
ACIIDS (1) | 2 |
| 2026 | QuDAR: Query-Wise Dual-Perspective Adaptive RetrievalabstractJoeun Kim, Seunghyouk Yoon, Xuan-Bach Le, Youngeun Nam, Doyoung Kim, Hwanjun Song, Jae-Gil Lee. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Joeun Kim, Seunghyouk Yoon, Xuan-Bach Le, Youngeun Nam, Hwanjun Song |
ACL (1) | 3 |
| 2026 | Emerging Trends and Challenges Toward LLM Agents in Static Analysis
Hoang-Quoc-Bao Hua, Xuan-Bach Le |
IEA/AIE (1) | 2 |
| 2026 | From Black-Box to Glass-Box: Explainable AI for Applied Intelligent Software Systems Across the Software Development Life Cycle
Thi-Hong-Cuc Le, Xuan-Bach Le |
IEA/AIE (2) | 2 |
| 2026 | The Paradigm Shift in Event Extraction: An In-Depth Overview with Large Language Models
Dung-Cam Quang, Vinh Q. Vo, Xuan-Bach Le |
IEA/AIE (1) | 3 |
| 2026 | Industrial Visual Anomaly Detection in Robotics: Methods, Datasets, and Deployable System Architectures
Thanh-Hai Tran, Xuan-Bach Le |
IEA/AIE (3) | 2 |
| 2025 | DeCoRA: Definition and Context Reasoning in ArgumentationabstractIn the legal field, accurately interpreting and applying legal definitions is crucial yet challenging due to inherent ambiguities. This paper introduces DeCoRA, a novel framework that enhances legal argumentation by incorporating context-based reasoning to address these ambiguities, with a focus on the judge as the central decision maker. Unlike black-box models, such as generative models or outcome prediction systems, which often produce outputs without fully explaining the reasoning behind their conclusions, DeCoRA emphasizes transparency by modeling the judicial decision-making process in a structured and interpretable manner. Our key contributions include: (1) a tree-based knowledge base that organizes legal definitions, highlighting their relationships and effects; (2) a context-aware definition framework enabling judges to interpret definitions considering legal and contextual relevance; and (3) an effective method for handling complex legal scenarios with conflicting or overlapping definitions. Ngoc-Duy Mai, Xuan-Bach Le, Thi-Hai-Yen Vuong, Ha-Thanh Nguyen, Kostas Stathis, Ken Satoh |
ICAIL | 2 |
| 2024 | Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards
Xuan-Bach Le, Dominik Wagner 0001, Leon Witzman, Alexander Moshe Rabinovich, C.-H. Luke Ong |
NeurIPS | 1 |
| 2022 | A Quantum interpretation of separating conjunction for local reasoning of Quantum programs based on separation logicabstractIt is well-known that quantum programs are not only complicated to design but also challenging to verify because the quantum states can have exponential size and require sophisticated mathematics to encode and manipulate. To tackle the state-space explosion problem for quantum reasoning, we propose a Hoare-style inference framework that supports local reasoning for quantum programs. By providing a quantum interpretation of the separating conjunction, we are able to infuse separation logic into our framework and apply local reasoning using a quantum frame rule that is similar to the classical frame rule. For evaluation, we apply our framework to verify various quantum programs including Deutsch–Jozsa’s algorithm and Grover's algorithm. Xuan-Bach Le, Shangwei Lin 0001, Jun Sun 0001, David Sanán |
Proc. ACM Program. Lang. | 1 |
| 2020 | Automatic Verification of Multi-threaded Programs by Inference of Rely-Guarantee SpecificationsabstractRely-Guarantee is a comprehensive technique that supports compositional reasoning for concurrent programs. However, specifications of the Rely condition - environment interference, and Guarantee condition - local transformation of thread state - are challenging to establish. Thus the construction of these conditions becomes bottleneck in automating the technique. To tackle the above problem, we propose a verification framework that, based on Rely-Guarantee principles, constructs the correctness proof of concurrent program through inferring suitable Rely -Guarantee conditions automatically. Our framework first constructs a Hoare-style sequential proof for each thread and then applies abstraction refinement to elevate these proofs into concurrent ones with appropriate Rely-Guarantee relations. Experiment results demonstrate that our approach is efficient in proving the correctness of concurrent programs. Xuan-Bach Le, David Sanán, Jun Sun 0001, Shangwei Lin 0001 |
ICECCS | 1 |