16 citations · 43 across the 6 of their papers we have counts for
6 papers
A Roadmap for Big Model
Sha Yuan, Hanyu Zhao, Shuai Zhao +97
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm. Researchers have achieved various outcomes in the c…
Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact
Yinyu Jin, Sha Yuan, Zhou Shao +2
The Turing Award is recognized as the most influential and prestigious award in the field of computer science(CS). With the rise of the science of science (SciSci), a large amount…
Attention: to Better Stand on the Shoulders of Giants
Sha Yuan, Zhou Shao, Yu Zhang +4
Science of science (SciSci) is an emerging discipline wherein science is used to study the structure and evolution of science itself using large data sets. The increasing availabil…
Modeling and Predicting Citation Count via Recurrent Neural Network with Long Short-Term Memory
Sha Yuan, Jie Tang, Yu Zhang +2
The rapid evolution of scientific research has been creating a huge volume of publications every year. Among the many quantification measures of scientific impact, citation count s…
Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism
Sha Yuan, Yu Zhang, Jie Tang +2
An ability to predict the popularity dynamics of individual items within a complex evolving system has important implications in a wide range of domains. Here we propose a deep lea…
Expert Finding in Community Question Answering: A Review
Sha Yuan, Yu Zhang, Jie Tang +1
The rapid development recently of Community Question Answering (CQA) satisfies users quest for professional and personal knowledge about anything. In CQA, one central issue is to f…