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
-
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
-
- Speech Recognition and Synthesis 7
- Natural Language Processing Techniques 7
- Topic Modeling 6
- Domain Adaptation and Few-Shot Learning 3
-
- Advanced Neural Network Applications 4
- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Kilian Q. Weinberger (10 shared papers)Yoav Artzi (4 shared papers)Tianyi Zhang (1 shared paper)Danlu Chen (2 shared papers)Gao Huang (2 shared papers)Laurens van der Maaten (3 shared papers)Tianhong Li (2 shared papers)Arzoo Katiyar (1 shared paper)
- Journals
- Communications of the ACM (1 paper)International Conference on Machine Learning (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)arXiv (Cornell University) (6 papers)
- 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 95
- Artificial Intelligence 919
- Computer Vision and Pattern Recognition 401
- Signal Processing 90
- Health Informatics 10
- Safety Research 59
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 | Revisiting Few-sample BERT Fine-tuning | 2021 | 128 |
| 3 | 2019 | 127 | |
| 4 | 2017 | 121 | |
| 5 | Simplifying Graph Convolutional Networks | 2019 | 110 |
| 6 | 2017 | 92 | |
| 7 | 2021 | 84 | |
| 8 | Multi-Scale Dense Convolutional Networks for Efficient Prediction. | 2017 | 69 |
| 9 | 2023 | 51 | |
| 10 | 2023 | 21 | |
| 11 | 2023 | 20 | |
| 12 | 2022 | 20 | |
| 13 | 2017 | 13 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 7 | |
| 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 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Music and Audio Processing (3 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (919 citations), Computer Vision and Pattern Recognition (401 citations), Signal Processing (90 citations), Health Informatics (10 citations) and Safety Research (59 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, Danlu Chen, Gao Huang, Laurens van der Maaten, Tianhong Li, Tianyi Zhang, Arzoo Katiyar and Michael Auli. Their work appears in journals such as Communications of the ACM, International Conference on Machine Learning, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and arXiv (Cornell University).
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.