EDBT 2026 Demo / reviewers in the wild / expert
Guanqun Zhang
dblp:63/431
· DBLP profile ↗
4ranked-venue papers
2as first author
2since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Computer networks · 2 · 1 first-author
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
1 paper |
Efficient and distributed learning · 60% Deep learning architectures and training · 40% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning › model compression › pruning › structured pruning
channel pruning |
0.6 | 1 | 2022 | Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions · ICLR 2022 |
Machine learning › Deep learning architectures and training
convolutional neural network |
0.6 | 1 | 2022 | Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions · ICLR 2022 |
Machine learning › Deep learning architectures and training › convolutional neural network › convolution design
group convolution |
0.6 | 1 | 2022 | Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions · ICLR 2022 |
Machine learning › Efficient and distributed learning
model compression |
0.6 | 1 | 2022 | Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions · ICLR 2022 |
Machine learning › Efficient and distributed learning › model compression
pruning |
0.6 | 1 | 2022 | Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions · ICLR 2022 |
Methods — techniques the papers use, named apart from their topics
lottery ticket hypothesis · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions
Shaochen Zhong, Guanqun Zhang, Ningjia Huang |
ICLR | 2 |
| 2022 | Group-based network pruning via nonlinear relationship between convolution filters
Guanqun Zhang, Jing Li 0002, Alan J. X. Guo |
Appl. Intell. | 1 |
| 2009 | Understanding Web Hosting Utility of Chinese ISPs
Guanqun Zhang, Hui Wang 0011, Jiahai Yang 0001 |
APNOMS | 1 |
| 2008 | Traffic Matrix Estimation Using Square Root Filtering/Smoothing Algorithm
Jiahai Yang 0001, Yang Yang 0004, Guanqun Zhang |
APNOMS | 4 |