EDBT 2026 Demo / reviewers in the wild / expert
Yali Shao
dblp:330/1646
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Integrated circuit design · 40% Electronic design automation · 20% Parallel and multicore computing · 20% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › technology computer-aided design
device simulation |
1.0 | 1 | 2026 | Parallel Simulation of Radiation-Electrothermal Synergistic Effect in LDMOSFET and FinFET Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026 |
High-performance computing
domain decomposition |
1.0 | 1 | 2026 | Parallel Simulation of Radiation-Electrothermal Synergistic Effect in LDMOSFET and FinFET Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026 |
Integrated circuit design › semiconductor device modeling
drift-diffusion model |
1.0 | 1 | 2026 | Parallel Simulation of Radiation-Electrothermal Synergistic Effect in LDMOSFET and FinFET Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026 |
Parallel and multicore computing › parallel computing
parallel scientific computing |
1.0 | 1 | 2026 | Parallel Simulation of Radiation-Electrothermal Synergistic Effect in LDMOSFET and FinFET Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026 |
Integrated circuit design
semiconductor device modeling |
1.0 | 1 | 2026 | Parallel Simulation of Radiation-Electrothermal Synergistic Effect in LDMOSFET and FinFET Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026 |
Methods — techniques the papers use, named apart from their topics
domain decomposition · 1.0control volume finite element method · 1.0adaptive unstructured mesh · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | PDGAGRN: Graph diffusion pretraining and dynamic graph learning for gene regulatory network inference from single-cell RNA-sequencing data
Dengju Yao, Dengke Yuan, Yali Shao, Xiaojuan Zhan, Guang-yi Tang, Yuehu Wu |
Expert Syst. Appl. | 3 |
| 2026 | Parallel Simulation of Radiation-Electrothermal Synergistic Effect in LDMOSFET and FinFET DevicesabstractThe reliability of LDMOSFET as well as FinFET devices has been gaining much interest in the development of various space electronic systems. There are high requirements for nonlinear computation and efficient simulation of radiation-multiphysics effects in these devices, especially in large-scale 3D scenarios, which pose significant challenges. To address these issues, we propose a hybrid numerical method for massively parallel simulation of nonlinear drift-diffusion transport processes in semiconductor devices. The control volume finite element method (CV-FEM) is employed to solve the Poisson, current continuity, and heat conduction equations, which shows strong numerical stability on unstructured meshes compared with the commercial COMSOL Multiphysics software. Further, our self-developed solver is employed to explore the total ionizing dose (TID)-electrothermal synergistic effects in step-doped LDMOSFETs (SD-LDMOSFETs), high-K dielectric SD-LDMOSFETs (HKSD-LDMOSFETs), and multi-fin FinFETs (M-FinFETs). We also implement a combined domain decomposition and J parallel Adaptive Unstructured Mesh applications Infrastructure scheme for parallel computation, where the scalability of our parallel algorithm is examined. It it believed that this study can offer some new insights into the behavior of these devices under radiation and electrothermal coupling, advancing efficient numerical methods to simulate diverse radiation-electrothermal synergistic effects. Tan-Yi Li, Dongyan Zhao 0002, Nian-En Zhang, Hao-Xuan Zhang, Yin-Da Wang, Guang-Rong Li, Yingzong Liang, Yali Shao, Yaxing Zhu, Dawei Wang 0003, Qiwei Zhan, Wen-Yan Yin |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 9 |