Felix Wu
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Adversarial Robustness in Machine Learning
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
-
- Natural Language Processing Techniques 7
- Speech Recognition and Synthesis 7
- Topic Modeling 6
- Domain Adaptation and Few-Shot Learning 3
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- Advanced Neural Network Applications 4
- Multimodal Machine Learning Applications 3
- Co-authors
- Kilian Q. Weinberger (10 shared papers)Yoav Artzi (4 shared papers)Tianyi Zhang (1 shared paper)Laurens van der Maaten (3 shared papers)Tianhong Li (2 shared papers)Gao Huang (2 shared papers)Danlu Chen (2 shared papers)Michael Auli (1 shared paper)
- Journals
- Communications of the ACM (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)arXiv (Cornell University) (6 papers)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Felix Wu
19 papers receiving 1.1k citations
Felix Wu's Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 900
- Computer Vision and Pattern Recognition 396
- Signal Processing 87
- Safety Research 58
- Health Informatics 9
Countries citing papers authored by Felix Wu
This map shows the geographic impact of Felix Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Wu more than expected).
Fields of papers citing papers by Felix Wu
This network shows the impact of papers produced by Felix Wu. 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 Wu. The network helps show where Felix Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Felix Wu, 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 | BERTScore: Evaluating Text Generation with BERT Hit paper breakdown → | 2020 | 267 |
| 2 | 2019 | 127 | |
| 3 | Revisiting Few-sample BERT Fine-tuning | 2021 | 126 |
| 4 | 2017 | 119 | |
| 5 | Simplifying Graph Convolutional Networks | 2019 | 110 |
| 6 | 2017 | 91 | |
| 7 | 2021 | 79 | |
| 8 | Multi-Scale Dense Convolutional Networks for Efficient Prediction. | 2017 | 69 |
| 9 | 2023 | 44 | |
| 10 | 2023 | 19 | |
| 11 | 2022 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2017 | 12 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2016 | 4 | |
| 18 | Making Paper Reviewing Robust to Bid Manipulation Attacks | 2021 | 4 |
| 19 | 2013 | 3 |
About Felix Wu
Felix Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Sociology and Political Science and Information Systems, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (7 papers), Topic Modeling (6 papers), Advanced Neural Network Applications (4 papers), Multimodal Machine Learning Applications (3 papers), Music and Audio Processing (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Artificial Intelligence (900 citations), Computer Vision and Pattern Recognition (396 citations), Signal Processing (87 citations), Safety Research (58 citations) and Health Informatics (9 citations). Felix Wu has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Kilian Q. Weinberger, Yoav Artzi, Tianyi Zhang, Laurens van der Maaten, Tianhong Li, Gao Huang, Danlu Chen, Michael Auli, Tianyi Zhang and Arzoo Katiyar. Their work appears in journals such as Communications of the ACM, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 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.