activity
20202025
most citedCogView: Mastering Text-to-Image Generation via Transformers

383 citations · 399 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2025

InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering

Zihan Wang, Zihan Liang, Zhou Shao +7

Retrieval-Augmented Generation (RAG) has emerged as a promising approach to address key limitations of Large Language Models (LLMs), such as hallucination, outdated knowledge, and…

cs.IR2024

TriSampler: A Better Negative Sampling Principle for Dense Retrieval

Zhen Yang, Zhou Shao, Yuxiao Dong +1

Negative sampling stands as a pivotal technique in dense retrieval, essential for training effective retrieval models and significantly impacting retrieval performance. While exist…

cs.LG2022

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…

cs.LG2021

A New Adaptive Gradient Method with Gradient Decomposition

Zhou Shao, Tong Lin

Adaptive gradient methods, especially Adam-type methods (such as Adam, AMSGrad, and AdaBound), have been proposed to speed up the training process with an element-wise scaling term…

cs.DL2021★ 16 cited

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…

cs.CV2021★ 383 cited

CogView: Mastering Text-to-Image Generation via Transformers

Ming Ding, Zhuoyi Yang, Wenyi Hong +8

Text-to-Image generation in the general domain has long been an open problem, which requires both a powerful generative model and cross-modal understanding. We propose CogView, a 4…

cs.SI2020

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…