Yixin Bao

1.2k total citations · 1 hit paper
14 papers, 817 citations indexed

About

Yixin Bao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yixin Bao has authored 14 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Yixin Bao's work include IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (5 papers) and Stochastic Gradient Optimization Techniques (5 papers). Yixin Bao is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (5 papers) and Stochastic Gradient Optimization Techniques (5 papers). Yixin Bao collaborates with scholars based in Hong Kong, China and United States. Yixin Bao's co-authors include Chuan Wu, Yanghua Peng, Chuanxiong Guo, Yangrui Chen, Yibo Zhu, Bairen Yi, Chang Lan, Zongpeng Li, Chen Meng and Wei Lin and has published in prestigious journals such as Neurocomputing, IEEE/ACM Transactions on Networking and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Yixin Bao

14 papers receiving 802 citations

Hit Papers

align trajectories

Peers

Countries citing papers authored by Yixin Bao

Since Specialization

Citations

This map shows the geographic impact of Yixin Bao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yixin Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yixin Bao more than expected).

Fields of papers citing papers by Yixin Bao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yixin Bao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yixin Bao. The network helps show where Yixin Bao may publish in the future.

Co-authorship network of co-authors of Yixin Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Yixin Bao. A scholar is included among the top collaborators of Yixin Bao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yixin Bao. Yixin Bao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration in Heterogeneous Systems 2024 ·IEEE/ACM Transactions on Networking ·(unknown), Yixin Bao, Chuan Wu	1
2	Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration 2022 ·IEEE INFOCOM 2022 - IEEE Conference on Computer Communications ·(unknown), Yixin Bao, Chuan Wu	5
3	Deep Learning-Based Job Placement in Distributed Machine Learning Clusters With Heterogeneous Workloads 2022 ·IEEE/ACM Transactions on Networking ·Yixin Bao, Yanghua Peng, Chuan Wu	13
4	DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters 2021 ·IEEE Transactions on Parallel and Distributed Systems ·Yanghua Peng, Yixin Bao, (unknown), Chuan Wu, Chen Meng, Wei Lin	44
5	Elastic parameter server load distribution in deep learning clusters 2020 ·Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu, Yibo Zhu, Chuanxiong Guo	24
6	Preemptive All-reduce Scheduling for Expediting Distributed DNN Training 2020 ·Yixin Bao, Yanghua Peng, (unknown), Chuan Wu	45
7	Deep Learning-based Job Placement in Distributed Machine Learning Clusters 2019 ·Yixin Bao, Yanghua Peng, Chuan Wu	100
8	A generic communication scheduler for distributed DNN training acceleration 2019 ·Yanghua Peng, Yibo Zhu, Yangrui Chen, Yixin Bao, Bairen Yi, Chang Lan, Chuan Wu, Chuanxiong Guo	208
9	Online Job Scheduling in Distributed Machine Learning Clusters 2018 ·Yixin Bao, Yanghua Peng, Chuan Wu, Zongpeng Li	90
10	High Order Neural Networks for Video Classification. 2018 ·arXiv (Cornell University) ·Jie Shao, Kai Hu, Yixin Bao, (unknown), Xiangyang Xue	1
11	AutoHighlight : Automatic Highlights Detection and Segmentation in Soccer Matches 2018 ·Kai‐Yu Tang, Yixin Bao, Zhijian Zhao, Liang Zhu, (unknown), Yao Peng	9
12	Optimus breakdown → 2018 ·Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chuanxiong Guo	274
13	Large-Scale Video Classification with Elastic Streaming Sequential Data Processing System 2017 ·(unknown), Hao Ye, (unknown), Yixin Bao, Zhijian Zhao, Haonan Qiu, Yao Lu, Li Wang, Yingbin Zheng	1
14	Face database generation based on text–video correlation 2016 ·Neurocomputing ·Dan Zeng, Yixin Bao, (unknown), (unknown), Qi Tian	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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