Felix Yu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
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- Topic Modeling 4
- Natural Language Processing Techniques 3
- Stochastic Gradient Optimization Techniques 3
- Privacy-Preserving Technologies in Data 2
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- Advanced Neural Network Applications 2
- Image Enhancement Techniques 2
- Face and Expression Recognition 1
- Multimodal Machine Learning Applications 1
- Co-authors
- Sanjiv Kumar (4 shared papers)Shih‐Fu Chang (2 shared papers)Yunchao Gong (1 shared paper)Tiansheng Yao (1 shared paper)Lichan Hong (1 shared paper)Xinyang Yi (1 shared paper)Ed H. (1 shared paper)Derek Zhiyuan Cheng (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)JAMA Network Open (1 paper)Signal Processing Image Communication (1 paper)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesHong KongCanada
In The Last Decade
Felix Yu
14 papers receiving 455 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 180
- Artificial Intelligence 253
- Health Informatics 9
- Information Systems 125
- Computational Mathematics 2
Countries citing papers authored by Felix Yu
This map shows the geographic impact of Felix Yu'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 Felix Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Yu more than expected).
Fields of papers citing papers by Felix Yu
This network shows the impact of papers produced by Felix Yu. 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 Felix Yu. The network helps show where Felix Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Felix Yu, 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 | 2021 | 135 | |
| 2 | 2014 | 83 | |
| 3 | 2019 | 68 | |
| 4 | cpSGD: communication-efficient and differentially-private distributed SGD | 2018 | 49 |
| 5 | 2023 | 46 | |
| 6 | 2019 | 39 | |
| 7 | 2023 | 22 | |
| 8 | $\propto$SVM for Learning with Label Proportions | 2013 | 6 |
| 9 | 2020 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2016 | 2 | |
| 14 | Learning mobile phone battery consumptions | 2016 | 1 |
| 15 | 2024 | 0 |
About Felix Yu
Felix Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 466 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Advanced Neural Network Applications (2 papers), Privacy-Preserving Technologies in Data (2 papers), Image Enhancement Techniques (2 papers), Face and Expression Recognition (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Artificial Intelligence (253 citations), Health Informatics (9 citations), Information Systems (125 citations) and Computational Mathematics (2 citations). Felix Yu has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Sanjiv Kumar, Shih‐Fu Chang, Yunchao Gong, Tiansheng Yao, Lichan Hong, Xinyang Yi, Ed H., Derek Zhiyuan Cheng, Ting Chen and Aditya Krishna Menon. Their work appears in journals such as ACM Transactions on Graphics, JAMA Network Open, Signal Processing Image Communication, arXiv (Cornell University) and Neural Information Processing Systems.
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.