Demo Data from VLDB 2026 / reviewers in the wild / expert
Jimin Ye
dblp:06/2138
· DBLP profile ↗
8ranked-venue papers
3as first author
3since 2021 · last 2023
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 1 first-authorDatabases, 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.
| Theoretical computer science
1 paper |
Information theory · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing
blind source separation |
0.0 | 1 | 2004 | Natural gradient-based recursive least-squares algorithm for adaptive blind source separation · Sci. China Ser. F Inf. Sci. 2004 |
Methods — techniques the papers use, named apart from their topics
recursive least squares · 0.0natural gradient · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Nonconvex optimization with inertial proximal stochastic variance reduction gradient
Lulu He, Jimin Ye, Jianwei E |
Inf. Sci. | 2 |
| 2021 | A denoising carbon price forecasting method based on the integration of kernel independent component analysis and least squares support vector regression
Jianwei E, Jimin Ye, Lulu He, Hai-Hong Jin |
Neurocomputing | 2 |
| 2021 | Accelerated proximal stochastic variance reduction for DC optimization
Lulu He, Jimin Ye, Jianwei E |
Neural Comput. Appl. | 2 |
| 2020 | Robust L1-norm two-dimensional collaborative representation-based projection for dimensionality reduction
Lulu He, Jimin Ye, Jianwei E |
Signal Process. Image Commun. | 2 |
| 2019 | MAP-based image denoising with structured sparsity and Gaussian scale mixture
Jimin Ye |
Pattern Anal. Appl. | 1 |
| 2009 | An optimized EASI algorithm
Jimin Ye, Hai-Hong Jin, Shun-Tian Lou, Kejun You |
Signal Process. | 1 |
| 2006 | Blind source separation with unknown and dynamically changing number of source signals
Jimin Ye, Xian-Da Zhang, Xiao-Long Zhu |
Sci. China Ser. F Inf. Sci. | 1 |
| 2004 | Natural gradient-based recursive least-squares algorithm for adaptive blind source separation
Xiao-Long Zhu, Xian-Da Zhang, Jimin Ye |
Sci. China Ser. F Inf. Sci. | 3 |