EDBT 2026 Demo / reviewers in the wild / expert
Xingqiang Bai
dblp:237/6507
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0004-2219-8780ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1
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.
| Network and information security
1 paper |
Blockchain and cryptocurrency security · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Transaction processing and concurrency control · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Blockchain and cryptocurrency security
permissioned blockchain |
0.7 | 1 | 2023 | FISCO-BCOS: An Enterprise-grade Permissioned Blockchain System with High-performance · SC 2023 |
Distributed systems
consensus |
0.7 | 1 | 2023 | FISCO-BCOS: An Enterprise-grade Permissioned Blockchain System with High-performance · SC 2023 |
Methods — techniques the papers use, named apart from their topics
pipelining · 2.0concurrent transaction execution · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | FISCO-BCOS: An Enterprise-grade Permissioned Blockchain System with High-performanceabstractEnterprise-grade permissioned blockchain systems provide a promising infrastructure for data sharing and cooperation between different companies. However, performance bottlenecks seriously hinder the adoption of these systems in many industrial applications that process complex business logic and huge transaction volumes. Our research identifies two key factors that limit the system performance: 1) At the block level, the serial dependency of inter-block processing severely limits the system throughput. A new block must wait for the completion of all previous blocks. 2) At the transaction level, the lack of efficient intra-block transactions concurrency makes it difficult to achieve high performance, especially when dealing with multiple CPU-heavy contracts which are commonly used in industrial scenarios. Huizhong Li, Yujie Chen 0007, Xingqiang Bai, Nan Mo, Yi Sun 0004 |
SC | 4 |
| 2019 | Semi-supervised cross-modal learning for cross modal retrieval and image annotation
Fuhao Zou, Xingqiang Bai, Chaoyang Luan |
World Wide Web | 2 |