Eric P. Xing
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Artificial Intelligence top 0.05%
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 68
- Natural Language Processing Techniques 53
- Domain Adaptation and Few-Shot Learning 49
- Bayesian Methods and Mixture Models 32
-
- Advanced Image and Video Retrieval Techniques 38
- Multimodal Machine Learning Applications 37
- Co-authors
- Michael I. Jordan (10 shared papers)Stuart Russell (3 shared papers)Andrew Y. Ng (1 shared paper)Amr Ahmed (16 shared papers)Se Young Kim (13 shared papers)David M. Blei (4 shared papers)Stephen E. Fienberg (4 shared papers)Edoardo M. Airoldi (3 shared papers)
- Journals
- Bioinformatics (19 papers)Journal of Machine Learning Research (10 papers)Journal of Computational Biology (8 papers)BMC Bioinformatics (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)
- Partner nations
- United StatesChinaUnited Arab Emirates
In The Last Decade
Eric P. Xing
389 papers receiving 15.6k citations
Eric P. Xing's Hit Papers
Peers
Comparison fields: 5 of 209
- Computer Vision and Pattern Recognition 6.2k
- Artificial Intelligence 8.8k
- Computational Mathematics 141
- Statistical and Nonlinear Physics 1.7k
- Signal Processing 1.2k
Countries citing papers authored by Eric P. Xing
This map shows the geographic impact of Eric P. Xing'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 Eric P. Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric P. Xing more than expected).
Fields of papers citing papers by Eric P. Xing
This network shows the impact of papers produced by Eric P. Xing. 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 Eric P. Xing. The network helps show where Eric P. Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric P. Xing, 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 412 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Distance Metric Learning with Application to Clustering with Side-Information Hit paper breakdown → | 2002 | 1730 |
| 2 | Mixed Membership Stochastic Blockmodels. Hit paper breakdown → | 2008 | 871 |
| 3 | Feature selection for high-dimensional genomic microarray data | 2001 | 416 |
| 4 | Online detection of unusual events in videos via dynamic sparse coding Hit paper breakdown → | 2011 | 378 |
| 5 | High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Hit paper breakdown → | 2020 | 358 |
| 6 | More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server Hit paper breakdown → | 2013 | 350 |
| 7 | Discrete temporal models of social networks Hit paper breakdown → | 2010 | 326 |
| 8 | Semantic Pooling for Complex Event Analysis in Untrimmed Videos Hit paper breakdown → | 2016 | 290 |
| 9 | 2008 | 278 | |
| 10 | Petuum: A New Platform for Distributed Machine Learning on Big Data Hit paper breakdown → | 2015 | 257 |
| 11 | 2011 | 204 | |
| 12 | 2016 | 196 | |
| 13 | 2019 | 190 | |
| 14 | Few-Shot Semantic Segmentation with Prototype Learning. | 2018 | 188 |
| 15 | 2014 | 173 | |
| 16 | 2009 | 157 | |
| 17 | 2009 | 153 | |
| 18 | 2009 | 147 | |
| 19 | 2012 | 143 | |
| 20 | 2017 | 142 |
About Eric P. Xing
Eric P. Xing is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Genetics and Signal Processing, having authored 412 papers that have together received 16.3k indexed citations. Recurring topics across this work include Topic Modeling (68 papers), Natural Language Processing Techniques (53 papers), Domain Adaptation and Few-Shot Learning (49 papers), Advanced Image and Video Retrieval Techniques (38 papers), Multimodal Machine Learning Applications (37 papers), Bioinformatics and Genomic Networks (34 papers), Gene expression and cancer classification (33 papers) and Bayesian Methods and Mixture Models (32 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.2k citations), Artificial Intelligence (8.8k citations), Computational Mathematics (141 citations), Statistical and Nonlinear Physics (1.7k citations) and Signal Processing (1.2k citations). Eric P. Xing has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Michael I. Jordan, Stuart Russell, Andrew Y. Ng, Amr Ahmed, Se Young Kim, David M. Blei, Stephen E. Fienberg, Edoardo M. Airoldi, Richard M. Karp and Xiaodan Liang. Their work appears in journals such as Bioinformatics, Journal of Machine Learning Research, Journal of Computational Biology, BMC Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.