Demo Data from VLDB 2026 / reviewers in the wild / expert
Yongming Wu
dblp:70/2031
· DBLP profile ↗
7ranked-venue papers
2as first author
6since 2021 · last 2024
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 50% Storage systems · 50% | |
| Software engineering, system software, and programming languages
1 paper |
Empirical software engineering · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering › software fault analysis
bug study |
0.3 | 1 | 2018 | An empirical study on crash recovery bugs in large-scale distributed systems · ESEC/SIGSOFT FSE 2018 |
Storage systems
crash recovery |
0.3 | 1 | 2018 | An empirical study on crash recovery bugs in large-scale distributed systems · ESEC/SIGSOFT FSE 2018 |
Distributed systems
fault tolerance |
0.3 | 1 | 2018 | An empirical study on crash recovery bugs in large-scale distributed systems · ESEC/SIGSOFT FSE 2018 |
Methods — techniques the papers use, named apart from their topics
empirical study · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Stochastic configuration networks with group lasso regularization
Yang Wang 0028, Guanci Yang, Chenglong Zhang 0001, Yongming Wu |
Inf. Sci. | 4 |
| 2023 | A tensor-based deep LSTM forecasting model capturing the intrinsic connection in multivariate time series
Zijun Fu, Yongming Wu |
Appl. Intell. | 2 |
| 2023 | A hybrid stock market prediction model based on GNG and reinforcement learning
Yongming Wu, Zijun Fu, Yuan Bing |
Expert Syst. Appl. | 1 |
| 2022 | Linguistic Z-numbers and cloud model weighted ranking technology and its application in concept evaluation of information axiom
Jiadui Chen, Yongming Wu |
J. Supercomput. | 3 |
| 2021 | An adaptive algorithm for dealing with data stream evolution and singularity
Yongming Wu, Linsheng Chen, Shao-bo Li, Jia-dui Chen |
Inf. Sci. | 1 |
| 2021 | LaPOLeaF: Label propagation in an optimal leading forest
Ji Xu 0001, Tianrui Li 0001, Yongming Wu, Guoyin Wang 0001 |
Inf. Sci. | 3 |
| 2018 | An empirical study on crash recovery bugs in large-scale distributed systemsabstractIn large-scale distributed systems, node crashes are inevitable, and can happen at any time. As such, distributed systems are usually designed to be resilient to these node crashes via various crash recovery mechanisms, such as write-ahead logging in HBase and hinted handoffs in Cassandra. However, faults in crash recovery mechanisms and their implementations can introduce intricate crash recovery bugs, and lead to severe consequences. Yu Gao 0002, Wensheng Dou, Chushu Gao, Dong Wang 0048, Jun Wei 0001, Ruirui Huang, Yongming Wu |
ESEC/SIGSOFT FSE | 9 |