VLDB 2026 Research / reviewers in the wild / expert
Yin-Peng Xie
dblp:241/9808
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 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.
| Artificial intelligence
2 papers |
Optimization for machine learning · 72% Deep learning architectures and training · 28% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Optimization for machine learning
stochastic gradient descent |
1.3 | 2 | 2024 | Stochastic normalized gradient descent with momentum for large-batch training · Sci. China Inf. Sci. 2024 On the convergence and improvement of stochastic normalized gradient descent · Sci. China Inf. Sci. 2021 |
Machine learning › Deep learning architectures and training › training optimization
large-batch training |
0.8 | 1 | 2024 | Stochastic normalized gradient descent with momentum for large-batch training · Sci. China Inf. Sci. 2024 |
Machine learning › Optimization for machine learning › gradient-based optimization › gradient descent
normalized gradient descent |
0.5 | 1 | 2021 | On the convergence and improvement of stochastic normalized gradient descent · Sci. China Inf. Sci. 2021 |
Machine learning › Optimization for machine learning
convergence analysis |
0.1 | 1 | 2021 | On the convergence and improvement of stochastic normalized gradient descent · Sci. China Inf. Sci. 2021 |
Methods — techniques the papers use, named apart from their topics
normalized gradient descent · 0.8momentum · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Stochastic normalized gradient descent with momentum for large-batch training
Shen-Yi Zhao, Chang-Wei Shi, Yin-Peng Xie, Wu-Jun Li |
Sci. China Inf. Sci. | 3 |
| 2021 | On the convergence and improvement of stochastic normalized gradient descent
Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li |
Sci. China Inf. Sci. | 2 |