Jinyu Li

12.7k total citations · 6 hit papers
203 papers, 6.8k citations indexed

About

Jinyu Li is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jinyu Li has authored 203 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Artificial Intelligence, 146 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jinyu Li's work include Speech Recognition and Synthesis (185 papers), Speech and Audio Processing (136 papers) and Music and Audio Processing (118 papers). Jinyu Li is often cited by papers focused on Speech Recognition and Synthesis (185 papers), Speech and Audio Processing (136 papers) and Music and Audio Processing (118 papers). Jinyu Li collaborates with scholars based in United States, China and United Kingdom. Jinyu Li's co-authors include Yifan Gong, Yifan Gong, Dong Yu, Li Deng, Jui-Ting Huang, Shujie Liu, Yu Wu, Jian Xue, Rui Zhao and Takuya Yoshioka and has published in prestigious journals such as Chemical Science, Process Safety and Environmental Protection and IEEE Transactions on Multimedia.

In The Last Decade

Jinyu Li

193 papers receiving 6.3k citations

Hit Papers

5 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 →
Recent advances in deep learning for speech research at Microsoft

2013 510 citations Li Deng, Jinyu Li et al. profile →
Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

2013 400 citations Jui-Ting Huang, Jinyu Li et al. profile →
An Overview of Noise-Robust Automatic Speech Recognition

2014 373 citations Jinyu Li, Li Deng et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →
Recent Advances in End-to-End Automatic Speech Recognition

2022 215 citations Jinyu Li 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

Countries citing papers authored by Jinyu Li

Since Specialization

Citations

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

Fields of papers citing papers by Jinyu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyu Li. A scholar is included among the top collaborators of Jinyu Li 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 Jinyu Li. Jinyu Li 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

#	Work	Indexed citations
1	Light-induced electronic structure modulation in perovskite ferrite for efficient photothermal dry reforming of methane 2025 ·Chemical Science ·Jilong Li, Xiang Hao, Jiwu Zhao, Jinyu Li, Bo Su, Zhengxin Ding, Mei‐Rong Huang, Zhi‐An Lan, Min‐Quan Yang, Sibo Wang	1
2	Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers breakdown → 2025 ·IEEE Transactions on Audio Speech and Language Processing ·Sanyuan Chen, Chengyi Wang, Yu Wu, Ziqiang Zhang, Long Zhou, Shujie Liu, Tie‐Yan Liu, Huaming Wang, Jinyu Li, Lei He, Sheng Zhao, Furu Wei	24
3	Total-Duration-Aware Duration Modeling for Text-to-Speech Systems 2024 ·Şefik Emre Eskimez, Xiaofei Wang, (unknown), (unknown), (unknown), Zhen Xiao, (unknown), (unknown), (unknown), Jinyu Li, Sheng Zhao, Naoyuki Kanda	1
4	Multi exposure fusion for high dynamic range imaging via multi-channel gradient tensor 2024 ·Digital Signal Processing ·Jinyu Li, Yihong Wang, Feng Chen, Yu Wang, Qian Chen, Xiubao Sui	1
5	SpeechX: Neural Codec Language Model as a Versatile Speech Transformer 2024 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown), (unknown), Zhuo Chen, Naoyuki Kanda, Şefik Emre Eskimez, Sanyuan Chen, (unknown), Shujie Liu, Jinyu Li, Takuya Yoshioka	18
6	Advanced Long-Content Speech Recognition With Factorized Neural Transducer 2024 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown), Yu Wu, Jinyu Li, Shujie Liu, Rui Zhao, (unknown), Yanmin Qian	2
7	VioLA: Conditional Language Models for Speech Recognition, Synthesis, and Translation 2024 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown), Long Zhou, Ziqiang Zhang, Yu Wu, Shujie Liu, Yashesh Gaur, Zhuo Chen, Jinyu Li, Furu Wei	4
8	Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model 2023 ·Biomedical Signal Processing and Control ·(unknown), (unknown), Yiwen Wang, Zheyuan Zhang, C. H. Cheng, Li Li, (unknown), (unknown), Jinyu Li, Yuzhu Guo, (unknown)	7
9	Streaming, Fast and Accurate on-Device Inverse Text Normalization for Automatic Speech Recognition 2023 ·Yashesh Gaur, (unknown), Jian Xue, (unknown), (unknown), (unknown), Jinyu Li, Yifan Gong	2
10	SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training 2022 ·Ziqiang Zhang, Long Zhou, (unknown), Shujie Liu, Li-Rong Dai, Jinyu Li, Furu Wei	26
11	Factorized Neural Transducer for Efficient Language Model Adaptation 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Xie Chen, Zhong Meng, (unknown), Jinyu Li	23
12	Developing Real-Time Streaming Transformer Transducer for Speech Recognition on Large-Scale Dataset 2021 ·Chen Xie, Yu Wu, Zhenghao Wang, Shujie Liu, Jinyu Li	112
13	Streaming End-to-End Multi-Talker Speech Recognition 2021 ·IEEE Signal Processing Letters ·Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong	26
14	Multi-Channel Overlapped Speech Recognition with Location Guided Speech Extraction Network 2018 ·Zhuo Chen, Xiong Xiao, Takuya Yoshioka, Hakan Erdoğan, Jinyu Li, Yifan Gong	80
15	An analysis of convolutional neural networks for speech recognition 2015 ·Jui-Ting Huang, Jinyu Li, Yifan Gong	91
16	LSTM time and frequency recurrence for automatic speech recognition 2015 ·Jinyu Li, Abdelrahman Mohamed, Geoffrey Zweig, Yifan Gong	72
17	Robust Automatic Speech Recognition - A Bridge to Practical Applications (1st Edition) 2015 ·Elsevier eBooks ·Jinyu Li, Li Deng, Reinhold Haeb‐Umbach, Yifan Gong	14
18	Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers breakdown → 2013 ·Jui-Ting Huang, Jinyu Li, Dong Yu, Li Deng, Yifan Gong	400
19	Towards High-Accuracy Low-Cost Noisy Robust Speech Recognition Exploiting Structured Model 2011 ·International Conference on Machine Learning ·Jinyu Li, Dong Yu, Li Deng, Yifan Gong	1
20	LASSO model adaptation for automatic speech recognition 2011 ·International Conference on Machine Learning ·Jinyu Li, Ming Yuan, Chin‐Hui Lee	7

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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