VLDB 2026 Research / reviewers in the wild / expert

Shi-Jie Lin

dblp:54/10453 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Artificial intelligence and machine learning · 1

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 · 56% Emerging computing paradigms · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design
analog and mixed-signal circuits		 0.112010
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration · NIPS 2010
Emerging computing paradigms › approximate and stochastic computing
stochastic computing		 0.112010
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration · NIPS 2010
Integrated circuit design › analog and mixed-signal circuits
analog VLSI		 0.012010
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration · NIPS 2010

Methods — techniques the papers use, named apart from their topics

stochastic differential equation simulation · 0.1log-domain representation · 0.1analog VLSI · 0.1
YearPublicationVenuePosition
2010 A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration
abstract
The Diffusion Network(DN) is a stochastic recurrent network which has been shown capable of modeling the distributions of continuous-valued, continuous-time paths. However, the dynamics of the DN are governed by stochastic differential equations, making the DN unfavourable for simulation in a digital computer. This paper presents the implementation of the DN in analogue Very Large Scale Integration, enabling the DN to be simulated in real time. Moreover, the log-domain representation is applied to the DN, allowing the supply voltage and thus the power consumption to be reduced without limiting the dynamic ranges for diffusion processes. A VLSI chip containing a DN with two stochastic units has been designed and fabricated. The design of component circuits will be described, so will the simulation of the full system be presented. The simulation results demonstrate that the DN in VLSI is able to regenerate various types of continuous paths in real-time.
Yi-Da Wu, Shi-Jie Lin, Hsin Chen
 NIPS2