Yixin Bao

According to our database, Yixin Bao authored at least 18 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Deep Learning-Based Job Placement in Distributed Machine Learning Clusters With Heterogeneous Workloads.

Yixin Bao, Yanghua Peng, Chuan Wu

IEEE/ACM Trans. Netw., April, 2023

2022

Bifurcation Analysis of a Fractional-Order Simplicial SIRS System Induced by Double Delays.

Jiaying Zhou, Yi Zhao, Yong Ye, Yixin Bao

Int. J. Bifurc. Chaos, 2022

Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration.

Ziyue Luo, Yixin Bao, Chuan Wu

Proceedings of the IEEE INFOCOM 2022, 2022

Optimization Research of raw material ordering and transportation scheme based on Improved TOPSIS Evaluation Model.

Xinqiang Zhang, Changfeng Xu, Yixin Bao

Proceedings of the ICCTA 2022: 8th International Conference on Computer Technology Applications, Kapfenberg, Austria, May 12, 2022

2021

DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters.

Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin

IEEE Trans. Parallel Distributed Syst., 2021

2020

Preemptive All-reduce Scheduling for Expediting Distributed DNN Training.

Yixin Bao, Yanghua Peng, Yangrui Chen, Chuan Wu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Elastic parameter server load distribution in deep learning clusters.

Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu, Yibo Zhu, Chuanxiong Guo

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

A generic communication scheduler for distributed DNN training acceleration.

Yanghua Peng, Yibo Zhu, Yangrui Chen, Yixin Bao, Bairen Yi, Chang Lan, Chuan Wu, Chuanxiong Guo

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

Deep Learning-based Job Placement in Distributed Machine Learning Clusters.

Yixin Bao, Yanghua Peng, Chuan Wu

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Geo-Distributed Big Data Analytics Systems: An Online Learning Approach for Dynamic Deployment.

Yixin Bao, Chuan Wu

Proceedings of the Smart Data: State-of-the-Art Perspectives in Computing and Applications, 2019

2018

High Order Neural Networks for Video Classification.

Jie Shao, Kai Hu, Yixin Bao, Yining Lin, Xiangyang Xue

CoRR, 2018

Qiniu Submission to ActivityNet Challenge 2018.

Xiaoteng Zhang, Yixin Bao, Feiyun Zhang, Kai Hu, Yicheng Wang, Liang Zhu, Qinzhu He, Yining Lin, Jie Shao, Yao Peng

CoRR, 2018

Online Job Scheduling in Distributed Machine Learning Clusters.

Yixin Bao, Yanghua Peng, Chuan Wu, Zongpeng Li

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Optimus: an efficient dynamic resource scheduler for deep learning clusters.

Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chuanxiong Guo

Proceedings of the Thirteenth EuroSys Conference, 2018

AutoHighlight : Automatic Highlights Detection and Segmentation in Soccer Matches.

Kaiyu Tang, Yixin Bao, Zhijian Zhao, Liang Zhu, Yining Lin, Yao Peng

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Face database generation based on text-video correlation.

Dan Zeng, Yixin Bao, Ke Liu, Fan Zhao, Qi Tian

Neurocomputing, 2016

Online influence maximization in non-stationary Social Networks.

Yixin Bao, Xiaoke Wang, Zhi Wang, Chuan Wu, Francis C. M. Lau

Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

Compressing Deep Neural Network for Facial Landmarks Detection.

Dan Zeng, Fan Zhao, Yixin Bao

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016