EDBT 2026 Demo / reviewers in the wild / expert
Chen Shan
dblp:26/10727
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0001-6405-7813ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Software engineering, systems software and programming languages · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% | |
| Network and information security
1 paper |
Blockchain and cryptocurrency security · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Blockchain and cryptocurrency security
consensus protocol |
0.7 | 1 | 2023 | Flexible Advancement in Asynchronous BFT Consensus · SOSP 2023 |
Distributed systems › consensus › fault-tolerant consensus
asynchronous consensus |
0.7 | 1 | 2023 | Flexible Advancement in Asynchronous BFT Consensus · SOSP 2023 |
Distributed systems › consensus
byzantine agreement |
0.7 | 1 | 2023 | Flexible Advancement in Asynchronous BFT Consensus · SOSP 2023 |
Distributed systems
consensus |
0.7 | 1 | 2023 | Flexible Advancement in Asynchronous BFT Consensus · SOSP 2023 |
Methods — techniques the papers use, named apart from their topics
asynchronous BFT protocol · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Flexible Advancement in Asynchronous BFT ConsensusabstractByzantine fault tolerant (BFT) consensus protocols are becoming an appealing solution to blockchains. As most blockchain systems are deployed on Wide Area Networks (WANs), with each node acting on behalf of its entity, partially synchronous BFT protocols that rely on network synchrony to elect a single leader can be ill-suited. In contrast, asynchronous protocols have no such timing assumptions. Existing asynchronous protocols confront challenges in terms of both flexibility and performance. Shengyun Liu, Wenbo Xu 0002, Chen Shan, Xiaofeng Yan, Tianjing Xu, Bo Wang 0116, Lei Fan 0002, Fuxi Deng, Ying Yan 0002, Hui Zhang 0002 |
SOSP | 3 |
| 2013 | A New Gene Expression Profiles Classifying Approach Based on Neighborhood Rough Set and Probabilistic Neural Networks Ensemble
Jiang Yun, Xie Guocheng, Chen Na, Chen Shan |
ICONIP (2) | 4 |
| 2013 | A New Hybrid Approach for Medical Image Intelligent Classifying Using Improved Wavelet Neural Network
Jiang Yun, Xie Guocheng, Chen Na, Chen Shan |
ICONIP (2) | 4 |