activity
20112020
most citedOnline Job Scheduling in Distributed Machine Learning Clusters

13 citations · 16 across the 5 of their papers we have counts for

collaborators

7 papers

math.AG2020

Classification of Connected Commutative Locally Nash Groups

YiXin Bao, YangYang Chen, WeiKai Hu

In this article, we classify connected commutative (locally) Nash groups, which is a continuation of our previous work on the classification of abelian Nash manifolds. Our results…

math.RT20202 cited

Homological Finiteness of Representations of Almost Linear Nash Groups

YiXin Bao, Yangyang Chen

Let be an almost linear Nash group, namely, a Nash group that admits a Nash homomorphism with finite kernel to some $\GL_k(\mathbb R)$. A smooth \Fre representation with mo…

math.RT20191 cited

Classification of abelian Nash manifolds

Yixin Bao, Yangyang Chen

By the algebraization of affine Nash groups, a connected affine Nash group is an abelian Nash manifold if and only if its algebraization is a real abelian variety. We first classif…

cs.LG2019

DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters

Yanghua Peng, Yixin Bao, Yangrui Chen +3

More and more companies have deployed machine learning (ML) clusters, where deep learning (DL) models are trained for providing various AI-driven services. Efficient resource sched…

cs.CV2018

Qiniu Submission to ActivityNet Challenge 2018

Xiaoteng Zhang, Yixin Bao, Feiyun Zhang +7

In this paper, we introduce our submissions for the tasks of trimmed activity recognition (Kinetics) and trimmed event recognition (Moments in Time) for Activitynet Challenge 2018.…

cs.DC201813 cited

Online Job Scheduling in Distributed Machine Learning Clusters

Yixin Bao, Yanghua Peng, Chuan Wu +1

Nowadays large-scale distributed machine learning systems have been deployed to support various analytics and intelligence services in IT firms. To train a large dataset and derive…