VLDB 2026 Research / reviewers in the wild / expert
Quanchao Hui
dblp:340/7242
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0001-9031-1034ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Databases, 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › hashing
binary embedding |
0.7 | 1 | 2023 | Binary Embedding-based Retrieval at Tencent · KDD 2023 |
Information retrieval › retrieval models › neural retrieval
embedding-based retrieval |
0.7 | 1 | 2023 | Binary Embedding-based Retrieval at Tencent · KDD 2023 |
Information retrieval › similarity search › nearest neighbor search
approximate nearest neighbor search |
0.2 | 1 | 2023 | Binary Embedding-based Retrieval at Tencent · KDD 2023 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Binary Embedding-based Retrieval at TencentabstractLarge-scale embedding-based retrieval (EBR) is the cornerstone of search-related industrial applications. Given a user query, the system of EBR aims to identify relevant information from a large corpus of documents that may be tens or hundreds of billions in size. The storage and computation turn out to be expensive and inefficient with massive documents and high concurrent queries, making it difficult to further scale up. Yukang Gan, Yixiao Ge, Chang Zhou 0008, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Yexin Wang, Ying Shan |
KDD | 7 |