Yu Wu

5.9k total citations · 3 hit papers
55 papers, 3.0k citations indexed

About

Yu Wu is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Yu Wu has authored 55 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 21 papers in Signal Processing and 5 papers in Information Systems. Recurrent topics in Yu Wu's work include Topic Modeling (30 papers), Speech Recognition and Synthesis (30 papers) and Natural Language Processing Techniques (28 papers). Yu Wu is often cited by papers focused on Topic Modeling (30 papers), Speech Recognition and Synthesis (30 papers) and Natural Language Processing Techniques (28 papers). Yu Wu collaborates with scholars based in China, United States and United Kingdom. Yu Wu's co-authors include Shujie Liu, Wei Wu, Ming Zhou, Jinyu Li, Zhoujun Li, Xing Chen, Chengyi Wang, Sanyuan Chen, Furu Wei and Yao Qian and has published in prestigious journals such as Neurocomputing, IEEE Journal of Selected Topics in Signal Processing and Computational Linguistics.

In The Last Decade

Yu Wu

55 papers receiving 2.8k 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.

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

2022 832 citations Sanyuan Chen, Chengyi Wang et al. profile →
Template-Based Named Entity Recognition Using BART

2021 191 citations Leyang Cui, Yu Wu et al. profile →
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

2025 24 citations Sanyuan Chen, Chengyi Wang et al. IEEE Transactions on Audio Speech and Language Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Wu China	24	2.7k	1.0k	366	162	158	55	3.0k
Zongheng Yang United States	8	1.5k 0.6×	1.0k 1.0×	309 0.8×	274 1.7×	86 0.5×	10	2.1k
Lin-shan Lee Taiwan	23	2.4k 0.9×	1.4k 1.4×	437 1.2×	115 0.7×	242 1.5×	269	2.8k
Alexei Baevski Israel	15	2.4k 0.9×	572 0.6×	654 1.8×	97 0.6×	80 0.5×	26	2.7k
Shuo Ren China	11	1.0k 0.4×	638 0.6×	169 0.5×	221 1.4×	127 0.8×	14	1.4k
Michael Riley United States	27	2.0k 0.8×	724 0.7×	197 0.5×	63 0.4×	196 1.2×	103	2.3k
Wayne Ward United States	29	2.4k 0.9×	338 0.3×	202 0.6×	198 1.2×	134 0.8×	100	2.8k
Murat Saraçlar Türkiye	26	2.1k 0.8×	783 0.8×	187 0.5×	100 0.6×	121 0.8×	134	2.4k
Inma Hernáez Spain	18	1.1k 0.4×	1.1k 1.1×	565 1.5×	189 1.2×	376 2.4×	93	1.7k
Raj Reddy United States	12	1.1k 0.4×	865 0.9×	259 0.7×	61 0.4×	136 0.9×	30	1.6k

Countries citing papers authored by Yu Wu

Since Specialization

Citations

This map shows the geographic impact of Yu 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 Yu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wu more than expected).

Fields of papers citing papers by Yu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu 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 Yu Wu. The network helps show where Yu Wu may publish in the future.

Co-authorship network of co-authors of Yu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Wu. A scholar is included among the top collaborators of Yu 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 Yu Wu. Yu 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:

20 of 20 papers shown

Chen, Sanyuan, Chengyi Wang, Yu Wu, et al.. (2025). Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers. IEEE Transactions on Audio Speech and Language Processing. 33. 705–718. 24 indexed citations breakdown →

Wu, Yu, et al.. (2024). Advanced Long-Content Speech Recognition With Factorized Neural Transducer. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1803–1815. 2 indexed citations

Wang, Rui, Long Zhou, Chengyi Wang, et al.. (2022). SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 5723–5738. 70 indexed citations

Wang, Yiming, Jinyu Li, Heming Wang, et al.. (2022). Wav2vec-Switch: Contrastive Learning from Original-Noisy Speech Pairs for Robust Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7097–7101. 28 indexed citations

Chen, Zhengyang, Sanyuan Chen, Yu Wu, et al.. (2022). Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6147–6151. 58 indexed citations

Cui, Leyang, Yu Wu, Shujie Liu, & Yue Zhang. (2021). Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2328–2337. 7 indexed citations

Xie, Chen, Yu Wu, Zhenghao Wang, Shujie Liu, & Jinyu Li. (2021). Developing Real-Time Streaming Transformer Transducer for Speech Recognition on Large-Scale Dataset. 5904–5908. 112 indexed citations

Wang, Chengyi, Yu Wu, Yao Qian, et al.. (2021). UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data. International Conference on Machine Learning. 10937–10947. 14 indexed citations

Cui, Leyang, Yu Wu, Liu Jian, Sen Yang, & Yue Zhang. (2021). Template-Based Named Entity Recognition Using BART. 1835–1845. 191 indexed citations breakdown →

10.

Cui, Leyang, et al.. (2021). On Commonsense Cues in BERT for Solving Commonsense Tasks. 683–693. 5 indexed citations

11.

Wang, Chengyi, Yu Wu, Jinyu Li, et al.. (2020). Semantic Mask for Transformer Based End-to-End Speech Recognition. 971–975. 31 indexed citations

12.

Wang, Chengyi, Yu Wu, Shujie Liu, et al.. (2020). Reducing the Latency of End-to-End Streaming Speech Recognition Models with a Scout Network. arXiv (Cornell University). 3 indexed citations

13.

Li, Jinyu, Yu Wu, Yashesh Gaur, et al.. (2020). On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition. 1–5. 87 indexed citations

14.

Cui, Leyang, Yu Wu, Shujie Liu, Yue Zhang, & Ming Zhou. (2020). MuTual: A Dataset for Multi-Turn Dialogue Reasoning. 1406–1416. 66 indexed citations

15.

Wu, Yu, et al.. (2019). Response Generation by Context-Aware Prototype Editing. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7281–7288. 59 indexed citations

16.

Chen, Jun, Xiaoming Zhang, Yu Wu, Zhao Yan, & Zhoujun Li. (2018). Keyphrase Generation with Correlation Constraints. 4057–4066. 61 indexed citations

17.

Wu, Yu, Wei Wu, Dejian Yang, Can Xu, & Zhoujun Li. (2018). Neural Response Generation With Dynamic Vocabularies. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 34 indexed citations

18.

Wu, Yu, Wei Wu, Zhoujun Li, & Ming Zhou. (2018). Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots. 420–425. 20 indexed citations

19.

Jiang, Bo, Yu Wu, Yongfei Zhang, Zhenyu Zhang, & W. K. Chan. (2018). ReTestDroid: Towards Safer Regression Test Selection for Android Application. 235–244. 6 indexed citations

20.

Wu, Yu, Wei Wu, Xing Chen, Ming Zhou, & Zhoujun Li. (2017). Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots. 496–505. 277 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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