EDBT 2026 Demo / reviewers in the wild / expert
Yue Wang 0061
dblp:33/4822-61
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2022
0000-0002-3766-3698ORCID · verified
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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Integrated circuit design · 67% Emerging computing paradigms · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Emerging computing paradigms
neuromorphic computing |
0.5 | 1 | 2021 | Silicon-based inorganic-organic hybrid optoelectronic synaptic devices simulating cross-modal learning · Sci. China Inf. Sci. 2021 |
Integrated circuit design
optoelectronic devices |
0.5 | 1 | 2021 | Silicon-based inorganic-organic hybrid optoelectronic synaptic devices simulating cross-modal learning · Sci. China Inf. Sci. 2021 |
Integrated circuit design › photonic integrated circuits
silicon photonics |
0.5 | 1 | 2021 | Silicon-based inorganic-organic hybrid optoelectronic synaptic devices simulating cross-modal learning · Sci. China Inf. Sci. 2021 |
Methods — techniques the papers use, named apart from their topics
cross-modal learning · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Synaptic devices based on semiconductor nanocrystalsabstractTo meet a growing demand for information processing, brain-inspired neuromorphic devices have been intensively studied in recent years. As an important type of neuromorphic device, synaptic devices have attracted strong attention. Among all the kinds of materials explored for the fabrication of synaptic devices, semiconductor nanocrystals (NCs) have become one of the preferred choices due to their excellent electronic and optical properties. In this review, we first introduce the research background of synaptic devices based on semiconductor NCs and briefly present the basic properties of semiconductor NCs. Recent developments in the field of synaptic devices based on semiconductor NCs are then discussed according to the materials employed in the active layers of the devices. Finally, we discuss existing problems and challenges of synaptic devices based on semiconductor NCs. Mingxuan Bu, Yue Wang 0061, Zhouyu Tong, Yiqiang Zhang, Deren Yang, Xiaodong Pi |
Frontiers Inf. Technol. Electron. Eng. | 2 |
| 2021 | Silicon-based inorganic-organic hybrid optoelectronic synaptic devices simulating cross-modal learning
Yayao Li, Yue Wang 0061, Wenbing Peng, Yiyue Zhu, Deren Yang, Xiaodong Pi |
Sci. China Inf. Sci. | 2 |