Fei Sha
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Human Pose and Action Recognition
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Machine Learning and ELM
- Natural Language Processing Techniques
Papers in
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- Domain Adaptation and Few-Shot Learning 29
- Topic Modeling 18
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- Multimodal Machine Learning Applications 20
- Advanced Image and Video Retrieval Techniques 19
- Face and Expression Recognition 16
- Co-authors
- Kristen Grauman (13 shared papers)Boqing Gong (8 shared papers)Fernando Pereira (1 shared paper)Yuan Shi (3 shared papers)Lawrence K. Saul (14 shared papers)Kilian Q. Weinberger (9 shared papers)Hexiang Hu (12 shared papers)Han-Jia Ye (3 shared papers)
- Journals
- Construction and Building Materials (15 papers)Case Studies in Construction Materials (6 papers)Journal of Materials Research and Technology (4 papers)Ocean Engineering (3 papers)Journal of Materials in Civil Engineering (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fei Sha
195 papers receiving 8.7k citations
Fei Sha's Hit Papers
Peers
Comparison fields: 5 of 192
- Computer Vision and Pattern Recognition 3.6k
- Artificial Intelligence 4.9k
- Signal Processing 798
- Civil and Structural Engineering 937
- Media Technology 368
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 206 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 | 1499 |
| 2 | Shallow parsing with conditional random fields Hit paper breakdown → | 2003 | 849 |
| 3 | Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions Hit paper breakdown → | 2020 | 463 |
| 4 | Marginalized Denoising Autoencoders for Domain Adaptation Hit paper breakdown → | 2012 | 345 |
| 5 | 2004 | 311 | |
| 6 | Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation | 2013 | 277 |
| 7 | DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification | 2008 | 237 |
| 8 | 2007 | 231 | |
| 9 | Diverse Sequential Subset Selection for Supervised Video Summarization | 2014 | 218 |
| 10 | 1996 | 217 | |
| 11 | Learning with Whom to Share in Multi-task Feature Learning | 2011 | 176 |
| 12 | 2017 | 151 | |
| 13 | 2013 | 146 | |
| 14 | 2018 | 131 | |
| 15 | 2016 | 126 | |
| 16 | 2017 | 124 | |
| 17 | 2007 | 115 | |
| 18 | Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines | 2002 | 102 |
| 19 | Non-linear Metric Learning | 2012 | 99 |
| 20 | WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models Hit paper breakdown → | 2024 | 93 |
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 206 papers that have together received 9.1k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (29 papers), Grouting, Rheology, and Soil Mechanics (28 papers), Microbial Applications in Construction Materials (23 papers), Concrete and Cement Materials Research (21 papers), Multimodal Machine Learning Applications (20 papers), Advanced Image and Video Retrieval Techniques (19 papers), Topic Modeling (18 papers) and Face and Expression Recognition (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Artificial Intelligence (4.9k citations), Signal Processing (798 citations), Civil and Structural Engineering (937 citations) and Media Technology (368 citations). Fei Sha has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kristen Grauman, Boqing Gong, Fernando Pereira, Yuan Shi, Lawrence K. Saul, Kilian Q. Weinberger, Hexiang Hu, Han-Jia Ye, De‐Chuan Zhan and Michael I. Jordan. Their work appears in journals such as Construction and Building Materials, Case Studies in Construction Materials, Journal of Materials Research and Technology, Ocean Engineering and Journal of Materials in Civil 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.