Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Shaofeng Yu

dblp:11/11536 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0001-8008-6278ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 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

TopicWeightPapersLastEvidence papers
Integrated circuit design › semiconductor device modeling
compact modeling
0.712023
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
0.212023
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
0.212023
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
YearPublicationVenuePosition
2023 A Combined N/PFET CFET-Based Design and Logic Technology Framework for CMOS Applications
abstract
We 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.8
2021 The Collaborative Production Management System of Power Enterprises Based on Online Information Sharing
abstract
With the development of online information sharing, high-tech equipment for collaborative production management of power enterprises emerges endlessly. Therefore, it is necessary to design the collaborative production management system of power enterprises based on online information sharing to meet the information sharing needs. In terms of the hardware, the B/S structure was built, and the computer was debugged with Cascading Style Sheet (CSS). In terms of the software, Hadoop horizontal architecture technology framework was designed, the physical deployment was carried out, the production management center module was designed, and the production operation chain was monitored and managed to realize the collaborative production management of power enterprises. The experimental results showed that the designed collaborative production management system of power enterprise had high reliability and friendliness, the highest reliability is 97.2%, the highest friendliness is 99.8%, which meets the current demand.
Guoji Yu, Zhong Jianxu, Shaofeng Yu, Liao Chongyang
J. Web Eng.3