Demo Data from EDBT 2026 / reviewers in the wild / expert
Mengshi Chen
dblp:376/0468
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 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
2 papers |
Information retrieval · 39% Data integration and cleaning · 22% Spatial and temporal data management · 19% | |
| Artificial intelligence
1 paper |
Language models and text generation · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › similarity search › nearest neighbor search
approximate nearest neighbor search |
0.9 | 1 | 2025 | Efficient top-k spatial-range-constrained approximate nearest neighbor search on geo-tagged high-dimensional vectors · VLDB J. 2025 |
Indexing and storage engines › vector index
high-dimensional vector indexing |
0.9 | 1 | 2025 | Efficient top-k spatial-range-constrained approximate nearest neighbor search on geo-tagged high-dimensional vectors · VLDB J. 2025 |
Information retrieval › similarity search › nearest neighbor search › approximate nearest neighbor search
range-filtering approximate nearest neighbor search |
0.9 | 1 | 2025 | Efficient top-k spatial-range-constrained approximate nearest neighbor search on geo-tagged high-dimensional vectors · VLDB J. 2025 |
Spatial and temporal data management
spatial query processing |
0.9 | 1 | 2025 | Efficient top-k spatial-range-constrained approximate nearest neighbor search on geo-tagged high-dimensional vectors · VLDB J. 2025 |
Natural language and speech › Language models and text generation
large language model |
0.3 | 1 | 2026 | Empowering Tabular Data Preparation with Language Models: Why and How? · ACL (1) 2026 |
Methods — techniques the papers use, named apart from their topics
language model · 2.0top-k query processing · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Empowering Tabular Data Preparation with Language Models: Why and How?abstractMengshi Chen, Yuxiang Sun, Tengchao Li, Jianwei Wang, Kai Wang, Xuemin Lin, Ying Zhang, Wenjie Zhang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Mengshi Chen, Tengchao Li, Jianwei Wang 0003, Kai Wang 0037, Xuemin Lin 0001, Ying Zhang 0001, Wenjie Zhang 0001 |
ACL (1) | 1 |
| 2026 | Evaluating Learned Indexes in LSM-tree Systems: Benchmarks, Insights and Design Choices
Junfeng Liu 0001, Jiarui Ye, Mengshi Chen, Meng Li 0010, Siqiang Luo |
EDBT | 3 |
| 2025 | Efficient top-k spatial-range-constrained approximate nearest neighbor search on geo-tagged high-dimensional vectors
Yitong Song 0001, Bin Yao 0002, Zhida Chen, Jiong Xie, Feifei Li 0001, Mengshi Chen |
VLDB J. | 7 |