Yuxiong He

81 papers receiving 2.3k citations

Hit Papers

DeepSpeed202020262022202420202020100200300

Peers

Yuxiong He
Comparison fields: 5 of 111
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 928
  • Information Systems 745
  • Computer Vision and Pattern Recognition 723
  • Hardware and Architecture 545
Replace Olatunji Ruwase with:
Olatunji Ruwase United States
Xuehai Zhou China
Wei Lin China
Martin S. Beck Singapore
Kai Hwang United States
Xiaofei Liao China
Jeff Rasley United States
Jidong Zhai China
Ruichuan Chen United States
Pramod Bhatotia Germany
Yuxiong He relative to Olatunji Ruwase United States Olatunji Ruwase's profile →
Citations per field
00.5×2.8×
Olatunji Ruwase · 1×
Citations per year

Countries citing papers authored by Yuxiong He

Since Specialization
Citations

This map shows the geographic impact of Yuxiong He'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 Yuxiong He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxiong He more than expected).

Fields of papers citing papers by Yuxiong He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuxiong He. 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 Yuxiong He. The network helps show where Yuxiong He may publish in the future.

Co-authorship network of co-authors of Yuxiong He

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxiong He. A scholar is included among the top collaborators of Yuxiong He 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 Yuxiong He. Yuxiong He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 7
3 2
4 6
5 23
6 9
7 3
8
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping
1
9 3
10 9
11
DeepCPU: serving RNN-based deep learning models 10x faster
30
12
Learning Intrinsic Sparse Structures within Long Short-Term Memory
14
13 2
14 11
15 4
16
Power-effiicent resource allocation in MapReduce clusters
1
17
Exploiting Processor Heterogeneity in Interactive Services
33
18
Horton: Online Query Execution Engine for Large Distributed Graphs (Demo Track)
1
19 79
20 1

About Yuxiong He

Yuxiong He is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (24 papers), Parallel Computing and Optimization Techniques (23 papers) and Advanced Neural Network Applications (17 papers). The work is most often cited by research in Hardware and Architecture (545 citations), Computer Networks and Communications (1.1k citations) and Computational Mathematics (23 citations). Yuxiong He has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Olatunji Ruwase, Samyam Rajbhandari, Jeff Rasley, Sameh Elnikety, Charles E. Leiserson, Shaolei Ren, Minjia Zhang, Kathryn S. McKinley, Kunal Agrawal and Feng Yan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and Transportation Research Part E Logistics and Transportation Review.

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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