EDBT 2026 Demo / reviewers in the wild / expert
Yage Zhao
dblp:362/3504
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, 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 · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Integrated circuit design › semiconductor device modeling
compact modeling |
0.7 | 1 | 2023 | A Combined N/PFET CFET-Based Design and Logic Technology Framework for CMOS Applications · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023 |
Integrated circuit design › memory circuit design
SRAM design |
0.2 | 1 | 2023 | A Combined N/PFET CFET-Based Design and Logic Technology Framework for CMOS Applications · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023 |
Integrated circuit design › VLSI design
standard cell library |
0.2 | 1 | 2023 | A Combined N/PFET CFET-Based Design and Logic Technology Framework for CMOS Applications · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023 |
Methods — techniques the papers use, named apart from their topics
multigradient neural network · 0.7TCAD · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | A Combined N/PFET CFET-Based Design and Logic Technology Framework for CMOS ApplicationsabstractWe propose a new technology and design platform using combined common gate (CG) N/PFET complementary field-effect transistor (CFET) as basic element for CMOS circuit applications. Two CFET unit structures, namely, CG and N-gate (NG), are identified to form base design elements. Through the two units, all circuit logic functions in standard cell library and SRAM can be realized without significant process complication. A multigradient neural network (MNN)-based SPICE compact modeling methodology is developed for these CFET units. As an example, MNN model generation is illustrated for CG with the output matching well with the TCAD data within and beyond the range of model extraction. Circuit simulations are exercised using the MNN models and demonstrated successfully the expected circuit functionalities. As the CFET technology be adopted as mainstream in future, this novel design framework proposed would enable efficient logic design. Xiaona Zhu, Rongzheng Ding, Ouwen Tao, Yage Zhao, Peishun Tang, David Wei Zhang, Ye Lu 0005, Shaofeng Yu |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 4 |