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
- Stochastic Gradient Optimization Techniques 3
- Natural Language Processing Techniques 3
- Privacy-Preserving Technologies in Data 2
- Domain Adaptation and Few-Shot Learning 1
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- Image Enhancement Techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Sanjiv Kumar (4 shared papers)Shih‐Fu Chang (2 shared papers)Yunchao Gong (1 shared paper)Xinyang Yi (1 shared paper)Ed H. (1 shared paper)Aditya Krishna Menon (2 shared papers)Derek Zhiyuan Cheng (1 shared paper)Ting Chen (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)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Felix Yu
15 papers receiving 473 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 180
- Artificial Intelligence 260
- Health Informatics 8
- Information Systems 132
- Computer Science Applications 19
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 | 143 | |
| 2 | 2014 | 83 | |
| 3 | 2019 | 70 | |
| 4 | 2023 | 50 | |
| 5 | cpSGD: communication-efficient and differentially-private distributed SGD | 2018 | 49 |
| 6 | 2019 | 40 | |
| 7 | 2023 | 25 | |
| 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 | 2024 | 1 | |
| 15 | Learning mobile phone battery consumptions | 2016 | 1 |
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 485 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Stochastic Gradient Optimization Techniques (3 papers), Natural Language Processing Techniques (3 papers), Image Enhancement Techniques (2 papers), Privacy-Preserving Technologies in Data (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Color Science and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Artificial Intelligence (260 citations), Health Informatics (8 citations), Information Systems (132 citations) and Computer Science Applications (19 citations). Felix Yu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Sanjiv Kumar, Shih‐Fu Chang, Yunchao Gong, Xinyang Yi, Ed H., Aditya Krishna Menon, Derek Zhiyuan Cheng, Ting Chen, Tiansheng Yao and Lichan Hong. Their work appears in journals such as ACM Transactions on Graphics, JAMA Network Open, Signal Processing Image Communication, arXiv (Cornell University) and International Conference on Machine Learning.
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.