Demo Data from EDBT 2026 / reviewers in the wild / expert
Yili Wang 0003
dblp:48/6261-3
· DBLP profile ↗
4ranked-venue papers
1as first author
3since 2021 · last 2022
0000-0003-1364-0480ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 4 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 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
3 papers |
Image and video processing · 55% Computational photography and imaging · 27% Visual content generation and editing · 18% | |
| Artificial intelligence
2 papers |
Representation and self-supervised learning · 77% Generative modeling · 23% | |
| Network and information security
1 paper |
Digital forensics and information hiding · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Representation and self-supervised learning › representation matching
feature alignment |
0.6 | 1 | 2022 | RRSR: Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection · ECCV (19) 2022 |
Computational photography and imaging › image aesthetics › aesthetic image enhancement
image retouching |
0.6 | 1 | 2022 | Neural Color Operators for Sequential Image Retouching · ECCV (19) 2022 |
Image and video processing › super-resolution
image super-resolution |
0.6 | 1 | 2022 | RRSR: Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection · ECCV (19) 2022 |
Image and video processing › super-resolution › image super-resolution › guided super-resolution
reference-based super-resolution |
0.6 | 1 | 2022 | RRSR: Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection · ECCV (19) 2022 |
Visual content generation and editing
QR code generation |
0.4 | 1 | 2019 | Two-Layer QR Codes · IEEE Trans. Image Process. 2019 |
Digital forensics and information hiding
information hiding |
0.4 | 1 | 2019 | Two-Layer QR Codes · IEEE Trans. Image Process. 2019 |
Methods — techniques the papers use, named apart from their topics
reciprocal reference · 1.1progressive feature alignment · 1.1neural color operators · 1.1error correction coding · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Neural Color Operators for Sequential Image Retouching
Yili Wang 0003, Xin Li 0106, Kun Xu 0003, Dongliang He, Qi Zhang 0029, Fu Li 0003, Errui Ding |
ECCV (19) | 1 |
| 2022 | RRSR: Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection
Lin Zhang 0013, Xin Li 0106, Dongliang He, Fu Li 0003, Yili Wang 0003, Zhaoxiang Zhang 0001 |
ECCV (19) | 5 |
| 2022 | MINIPI: A MultI-scale Neural Network Based Impulse Radio Ultra-Wideband Radar Indoor Personnel Identification Method
Lingyi Meng, Xikang Jiang, Wenyao Mu, Yili Wang 0003, Lei Li 0009, Lin Zhang 0013 |
PRCV (2) | 5 |
| 2019 | Two-Layer QR CodesabstractA quick-response code (QR code) is a two-dimensional code akin to a barcode that encodes a message of limited length. In this paper, we present a variant of QR code, a two-layer QR code. Its two-layer structure can display two alternative messages when scanned from two different directions. We propose a method to generate such two-layer QR codes encoding two given messages in a few seconds. We also demonstrate the robustness of our method on both synthetic and fabricated examples. All source code will be made publicly available (https://github.com/yuantailing/two-layer-qrcode). Tailing Yuan, Yili Wang 0003, Kun Xu 0003, Ralph R. Martin, Shi-Min Hu 0001 |
IEEE Trans. Image Process. | 2 |