Demo Data from EDBT 2026 / reviewers in the wild / expert
Xunchao Li
dblp:315/4260
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 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.
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Hardware accelerators and domain-specific architectures · 74% Embedded and real-time systems · 26% | |
| Artificial intelligence
1 paper |
Efficient and distributed learning · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › image restoration › artifact removal
demoiréing |
0.7 | 1 | 2023 | Real-Time Image Demoiréing on Mobile Devices · ICLR 2023 |
Image and video processing
image restoration |
0.7 | 1 | 2023 | Real-Time Image Demoiréing on Mobile Devices · ICLR 2023 |
Hardware accelerators and domain-specific architectures › vision accelerator
super-resolution accelerator |
0.6 | 1 | 2022 | Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks · ECCV (18) 2022 |
Embedded and real-time systems › real-time signal processing
real-time image processing |
0.2 | 1 | 2023 | Real-Time Image Demoiréing on Mobile Devices · ICLR 2023 |
Machine learning › Efficient and distributed learning
model compression |
0.2 | 1 | 2022 | Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks · ECCV (18) 2022 |
Machine learning › Efficient and distributed learning › model compression
quantization |
0.2 | 1 | 2022 | Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks · ECCV (18) 2022 |
Methods — techniques the papers use, named apart from their topics
mobile-efficient neural network · 1.3quantization-aware training · 1.1dynamic bounds · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Real-Time Image Demoiréing on Mobile Devices
Yuxin Zhang 0002, Mingbao Lin, Xunchao Li, Guozhi Wang, Fei Chao 0001, Shuai Ren 0002, Yafei Wen, Xiaoxin Chen 0001, Rongrong Ji |
ICLR | 3 |
| 2023 | Binarizing Super-Resolution Neural Network Without Batch Normalization
Xunchao Li, Fei Chao 0001 |
PRCV (10) | 1 |
| 2022 | Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li 0015, Yunhang Shen, Fei Chao 0001, Yongjian Wu 0001, Rongrong Ji |
ECCV (18) | 3 |