Jiashen Cao
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- Advanced Neural Network Applications 10
- Advanced Image and Video Retrieval Techniques 3
- Visual Attention and Saliency Detection 2
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 3
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- IoT and Edge/Fog Computing 6
- Age of Information Optimization 3
- Artificial Intelligence top 10%
- Stochastic Gradient Optimization Techniques 4
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- Advanced Memory and Neural Computing 3
- Co-authors
- Hyesoon KimRamyad HadidiMichael S. RyooBahar AsgariTushar KrishnaSung Kyu LimJoy ArulrajMatteo Interlandi
- Cited by
- Computer Vision and Pattern RecognitionHardware and ArchitectureComputer Networks and Communications
- Journals
- Proceedings of the VLDB Endowment (2 papers)IEEE Robotics and Automation Letters (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Jiashen Cao
17 papers receiving 347 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 173
- Hardware and Architecture 56
- Computer Networks and Communications 163
- Computational Mathematics 4
- Artificial Intelligence 127
Countries citing papers authored by Jiashen Cao
This map shows the geographic impact of Jiashen 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 Jiashen Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiashen Cao more than expected).
Fields of papers citing papers by Jiashen Cao
This network shows the impact of papers produced by Jiashen 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 Jiashen Cao. The network helps show where Jiashen Cao may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Jiashen Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 55 | |
| 9 | 2020 | 71 | |
| 10 | Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. | 2020 | 1 |
| 11 | Late Breaking Results: Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing ∗ | 2019 | 1 |
| 12 | 2019 | 2 | |
| 13 | 2019 | 14 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 70 | |
| 17 | 2018 | 29 | |
| 18 | 2018 | 63 |
About Jiashen Cao
Jiashen Cao is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications, having authored 18 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), IoT and Edge/Fog Computing (6 papers), Stochastic Gradient Optimization Techniques (4 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Memory and Neural Computing (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Age of Information Optimization (3 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Hardware and Architecture (56 citations) and Computer Networks and Communications (163 citations). Jiashen Cao has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Hyesoon Kim, Ramyad Hadidi, Michael S. Ryoo, Bahar Asgari, Tushar Krishna, Sung Kyu Lim, Joy Arulraj, Matteo Interlandi, Rathijit Sen and Bingyao Wang. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Robotics and Automation Letters, IEEE Internet of Things Journal, Proceedings of the 2022 International Conference on Management of Data and Proceedings of the ACM on Management of Data.
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.