Yuan Cao

9.8k citations
47 papers · 783 · h-index 13

Impact in

Papers in

    • Natural Language Processing Techniques 9
    • Topic Modeling 9
    • Stochastic Gradient Optimization Techniques 8
    • Domain Adaptation and Few-Shot Learning 6
    • Machine Learning and ELM 6
    • Speech Recognition and Synthesis 6
    • Speech and dialogue systems 5
    • Advanced Neural Network Applications 12

Yuan Cao

45 papers receiving 726 citations

Peers

Yuan Cao
Comparison fields: 5 of 108
  • Artificial Intelligence 463
  • Computer Vision and Pattern Recognition 264
  • Signal Processing 87
  • Neurology 64
  • Statistical and Nonlinear Physics 48
Replace Olivier Breuleux with:
Olivier Breuleux Canada
Frédéric Bastien Canada
Steven R. Young United States
Chih–Chung Hsu Taiwan
Alaaeldin El-Nouby Sweden
Florinel-Alin Croitoru Romania
Vlad Hondru Romania
Tianlong Chen United States
Harm de Vries Canada
Yuan Cao relative to Olivier Breuleux Canada Olivier Breuleux's profile →
Citations per field
00.5×10×15×21.5×
Olivier Breuleux · 1×
Citations per year

Countries citing papers authored by Yuan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuan Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuan Cao Line = papers co-authored together Yuan Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019121
2 201981
3 202273
4 201867
5 202066
6 202139
7 202030
8 200930
9 202029
10 202226
11 202421
12
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
201917
13 201913
14 202311
15
A Generalization Theory of Gradient Descent for Learning Over-parameterized Deep ReLU Networks
201911
16 202010
17
Translations of the Callhome Egyptian Arabic corpus for conversational speech translation.
201410
18 202210
19 201510
20 20159

About Yuan Cao

Yuan Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiation, Pulmonary and Respiratory Medicine and Mechanical Engineering, having authored 47 papers that have together received 783 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers), Stochastic Gradient Optimization Techniques (8 papers), Domain Adaptation and Few-Shot Learning (6 papers), Machine Learning and ELM (6 papers), Speech Recognition and Synthesis (6 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Artificial Intelligence (463 citations), Computer Vision and Pattern Recognition (264 citations), Signal Processing (87 citations), Neurology (64 citations) and Statistical and Nonlinear Physics (48 citations). Yuan Cao has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Quanquan Gu, Yonghui Wu, Dongruo Zhou, Difan Zou, Ron J. Weiss, Orhan Fırat, Ankur Bapna, Feng Yan, Bin Yu and Heiga Zen. Their work appears in journals such as Neurocomputing, International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Power Delivery, Transactions of the Association for Computational Linguistics and Automation in Construction.

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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