Felix Wu

6.2k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Felix Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Felix Wu has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Felix Wu's work include Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (7 papers) and Topic Modeling (6 papers). Felix Wu is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (7 papers) and Topic Modeling (6 papers). Felix Wu collaborates with scholars based in United States, Israel and Japan. Felix Wu's co-authors include Kilian Q. Weinberger, Yoav Artzi, Tianyi Zhang, Laurens van der Maaten, Tianhong Li, Danlu Chen, Gao Huang, Alexei Baevski, Yann Dauphin and Tianyi Zhang and has published in prestigious journals such as Communications of the ACM, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Felix Wu

19 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

BERTScore: Evaluating Text Generation with BERT

2020 267 citations Tianyi Zhang, Felix Wu et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Felix Wu United States	13	900	396	87	76	58	19	1.1k
Francesco Locatello Germany	9	418 0.5×	168 0.4×	33 0.4×	29 0.4×	23 0.4×	27	698
Haibin Zheng China	15	451 0.5×	106 0.3×	89 1.0×	106 1.4×	22 0.4×	68	658
Jinyuan Jia China	15	728 0.8×	247 0.6×	105 1.2×	111 1.5×	16 0.3×	49	1.0k
Parikshit Ram United States	13	315 0.3×	227 0.6×	105 1.2×	125 1.6×	50 0.9×	34	663
Xiaozhi Wang China	10	941 1.0×	195 0.5×	34 0.4×	127 1.7×	9 0.2×	31	1.2k
Tianyu Gu China	9	570 0.6×	302 0.8×	171 2.0×	46 0.6×	14 0.2×	20	898
Ivan Evtimov United States	4	853 0.9×	205 0.5×	263 3.0×	47 0.6×	35 0.6×	5	1.0k
Junpeng Wang United States	11	308 0.3×	430 1.1×	71 0.8×	22 0.3×	16 0.3×	38	666
Zhifei Zhang United States	10	882 1.0×	498 1.3×	69 0.8×	87 1.1×	24 0.4×	20	1.4k

Countries citing papers authored by Felix Wu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Felix Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Wu. A scholar is included among the top collaborators of Felix Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Felix Wu. Felix Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Peng, Yifan, Kwangyoun Kim, Felix Wu, Prashant Sridhar, & Shinji Watanabe. (2023). Structured Pruning of Self-Supervised Pre-Trained Models for Speech Recognition and Understanding. 1–5. 15 indexed citations

2.

Kim, Kwangyoun, Felix Wu, Yifan Peng, et al.. (2023). E-Branchformer: Branchformer with Enhanced Merging for Speech Recognition. 84–91. 44 indexed citations

3.

Wu, Felix, Kwangyoun Kim, Shinji Watanabe, et al.. (2023). Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages. 1–5. 19 indexed citations

4.

Peng, Yifan, Kwangyoun Kim, Felix Wu, et al.. (2023). A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks. 2208–2212. 9 indexed citations

5.

Shon, Suwon, Felix Wu, Kwangyoun Kim, et al.. (2023). Context-Aware Fine-Tuning of Self-Supervised Speech Models. 1–5. 6 indexed citations

6.

Wu, Felix, Kwangyoun Kim, Jing Pan, et al.. (2022). Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7667–7671. 16 indexed citations

7.

Zhang, Tianyi, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, & Yoav Artzi. (2021). Revisiting Few-sample BERT Fine-tuning. arXiv (Cornell University). 126 indexed citations

8.

Kim, Kwangyoun, Felix Wu, Prashant Sridhar, Kyu J. Han, & Shinji Watanabe. (2021). Multi-Mode Transformer Transducer with Stochastic Future Context. 1827–1831. 5 indexed citations

9.

Li, Boyi, Felix Wu, Ser-Nam Lim, Serge Belongie, & Kilian Q. Weinberger. (2021). On Feature Normalization and Data Augmentation. 12378–12387. 79 indexed citations

10.

Guo, Chuan, et al.. (2021). Making Paper Reviewing Robust to Bid Manipulation Attacks. 139. 11240–11250. 4 indexed citations

11.

Zhang, Tianyi, et al.. (2020). BERTScore: Evaluating Text Generation with BERT. arXiv (Cornell University). 267 indexed citations breakdown →

12.

Wu, Felix, et al.. (2019). Simplifying Graph Convolutional Networks. International Conference on Machine Learning. 6861–6871. 110 indexed citations

13.

Wu, Felix, Angela Fan, Alexei Baevski, Yann Dauphin, & Michael Auli. (2019). Pay Less Attention with Lightweight and Dynamic Convolutions. arXiv (Cornell University). 127 indexed citations

14.

Huang, Gao, Danlu Chen, Tianhong Li, et al.. (2017). Multi-Scale Dense Convolutional Networks for Efficient Prediction.. arXiv (Cornell University). 69 indexed citations

15.

Huang, Gao, Danlu Chen, Tianhong Li, et al.. (2017). Multi-Scale Dense Networks for Resource Efficient Image Classification. arXiv (Cornell University). 119 indexed citations

16.

Pleiss, Geoff, Manish Raghavan, Felix Wu, Jon Kleinberg, & Kilian Q. Weinberger. (2017). On Fairness and Calibration. arXiv (Cornell University). 30. 5680–5689. 91 indexed citations

17.

Shi, Tianze, Felix Wu, Xilun Chen, & Yao Cheng. (2017). Combining Global Models for Parsing Universal Dependencies. 31–39. 12 indexed citations

18.

Wu, Felix. (2016). No easy answers in the fight over iPhone decryption. Communications of the ACM. 59(9). 20–22. 4 indexed citations

19.

Su, Yu-Chuan, et al.. (2013). Flickr-tag prediction using multi-modal fusion and meta information. 353–356. 3 indexed citations

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.

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