Fei Sha
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Face and Expression Recognition
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Machine Learning and ELM
Papers in
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- Domain Adaptation and Few-Shot Learning 32
- Topic Modeling 19
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- Multimodal Machine Learning Applications 23
- Advanced Image and Video Retrieval Techniques 23
- Face and Expression Recognition 17
- Co-authors
- Kristen Grauman (17 shared papers)Boqing Gong (10 shared papers)Fernando Pereira (1 shared paper)Lawrence K. Saul (19 shared papers)Yuan Shi (3 shared papers)Kilian Q. Weinberger (11 shared papers)Wei‐Lun Chao (9 shared papers)Hexiang Hu (13 shared papers)
- Journals
- Construction and Building Materials (15 papers)Case Studies in Construction Materials (6 papers)Journal of Materials Research and Technology (4 papers)Journal of Materials in Civil Engineering (3 papers)Ocean Engineering (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Fei Sha
213 papers receiving 11.0k citations
Fei Sha's Hit Papers
Peers
Comparison fields: 5 of 193
- Computer Vision and Pattern Recognition 5.2k
- Artificial Intelligence 6.1k
- Signal Processing 1.4k
- Media Technology 462
- Computational Mathematics 29
Countries citing papers authored by Fei Sha
This map shows the geographic impact of Fei Sha'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 Fei Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Sha more than expected).
Fields of papers citing papers by Fei Sha
This network shows the impact of papers produced by Fei Sha. 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 Fei Sha. The network helps show where Fei Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Sha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 224 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Geodesic flow kernel for unsupervised domain adaptation Hit paper breakdown → | 2012 | 1637 |
| 2 | Shallow parsing with conditional random fields Hit paper breakdown → | 2003 | 977 |
| 3 | Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions Hit paper breakdown → | 2020 | 497 |
| 4 | Video Summarization with Long Short-Term Memory Hit paper breakdown → | 2016 | 483 |
| 5 | Marginalized Denoising Autoencoders for Domain Adaptation Hit paper breakdown → | 2012 | 389 |
| 6 | 2004 | 383 | |
| 7 | An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild Hit paper breakdown → | 2016 | 352 |
| 8 | Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation Hit paper breakdown → | 2013 | 307 |
| 9 | 2007 | 268 | |
| 10 | DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification | 2008 | 263 |
| 11 | Diverse Sequential Subset Selection for Supervised Video Summarization | 2014 | 245 |
| 12 | 1996 | 221 | |
| 13 | Learning with Whom to Share in Multi-task Feature Learning | 2011 | 203 |
| 14 | 2006 | 202 | |
| 15 | 2013 | 180 | |
| 16 | 2017 | 151 | |
| 17 | 2016 | 137 | |
| 18 | 2018 | 134 | |
| 19 | 2007 | 134 | |
| 20 | 2017 | 132 |
About Fei Sha
Fei Sha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Environmental Engineering and Electrical and Electronic Engineering, having authored 224 papers that have together received 11.5k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (32 papers), Grouting, Rheology, and Soil Mechanics (28 papers), Multimodal Machine Learning Applications (23 papers), Advanced Image and Video Retrieval Techniques (23 papers), Microbial Applications in Construction Materials (23 papers), Concrete and Cement Materials Research (21 papers), Topic Modeling (19 papers) and Face and Expression Recognition (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.2k citations), Artificial Intelligence (6.1k citations), Signal Processing (1.4k citations), Media Technology (462 citations) and Computational Mathematics (29 citations). Fei Sha has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kristen Grauman, Boqing Gong, Fernando Pereira, Lawrence K. Saul, Yuan Shi, Kilian Q. Weinberger, Wei‐Lun Chao, Hexiang Hu, Han-Jia Ye and De‐Chuan Zhan. Their work appears in journals such as Construction and Building Materials, Case Studies in Construction Materials, Journal of Materials Research and Technology, Journal of Materials in Civil Engineering and Ocean Engineering.
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.