Yu-An Chung

3.7k total citations · 2 hit papers
25 papers, 1.7k citations indexed

About

Yu-An Chung is a scholar working on Artificial Intelligence, Signal Processing and Infectious Diseases. According to data from OpenAlex, Yu-An Chung has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Signal Processing and 1 paper in Infectious Diseases. Recurrent topics in Yu-An Chung's work include Speech Recognition and Synthesis (21 papers), Music and Audio Processing (13 papers) and Natural Language Processing Techniques (10 papers). Yu-An Chung is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Music and Audio Processing (13 papers) and Natural Language Processing Techniques (10 papers). Yu-An Chung collaborates with scholars based in United States, Taiwan and France. Yu-An Chung's co-authors include James Glass, Yuan Gong, Hao Tang, Wei-Ning Hsu, Yu Zhang, Cheng-I Lai, Yonghui Wu, Hung-yi Lee, Chia-Hao Shen and James Qin and has published in prestigious journals such as Osteoarthritis and Cartilage, IEEE Journal of Selected Topics in Signal Processing and Journal of the Formosan Medical Association.

In The Last Decade

Yu-An Chung

24 papers receiving 1.6k citations

Hit Papers

AST: Audio Spectrogram Transformer 2021 2026 2022 2024 2021 2022 100 200 300 400 500

Peers

Yu-An Chung
Shuo-Yiin Chang United States
Shawn Hershey United States
Qiuqiang Kong United Kingdom
Yin Cao China
Turab Iqbal United Kingdom
Shuo-Yiin Chang United States
Yu-An Chung
Citations per year, relative to Yu-An Chung Yu-An Chung (= 1×) peers Shuo-Yiin Chang

Countries citing papers authored by Yu-An Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yu-An Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-An Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-An Chung. A scholar is included among the top collaborators of Yu-An Chung 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-An Chung. Yu-An Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gong, Hongyu, et al.. (2025). DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models. 5723–5727. 1 indexed citations
2.
Inaguma, Hirofumi, Ilia Kulikov, Peng‐Jen Chen, et al.. (2023). UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units. 15655–15680. 18 indexed citations
3.
Chen, Peng‐Jen, Kevin Tran, Yilin Yang, et al.. (2023). Speech-to-Speech Translation for a Real-world Unwritten Language. 4969–4983. 12 indexed citations
4.
Yeh, Sung-Lin, et al.. (2022). Autoregressive Predictive Coding: A Comprehensive Study. IEEE Journal of Selected Topics in Signal Processing. 16(6). 1380–1390. 12 indexed citations
5.
Gong, Yuan, Yu-An Chung, & James Glass. (2021). AST: Audio Spectrogram Transformer. 571–575. 517 indexed citations breakdown →
6.
Chung, Yu-An, Yu Zhang, Wei Han, et al.. (2021). w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. 244–250. 168 indexed citations
8.
Chung, Yu-An, Chenguang Zhu, & Michael Zeng. (2021). Semi-Supervised Speech-Language Joint Pre-Training for Spoken Language Understanding. 2 indexed citations
9.
Chung, Yu-An, Chenguang Zhu, & Michael Zeng. (2021). SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding. 1897–1907. 41 indexed citations
10.
Chung, Yu-An, Yonatan Belinkov, & James Glass. (2021). Similarity Analysis of Self-Supervised Speech Representations. 3040–3044. 16 indexed citations
11.
Chung, Yu-An & James Glass. (2020). Generative Pre-Training for Speech with Autoregressive Predictive Coding. 3497–3501. 99 indexed citations
12.
Chung, Yu-An, et al.. (2020). Disease burden from foodborne illnesses in Taiwan, 2012–2015. Journal of the Formosan Medical Association. 119(9). 1372–1381. 36 indexed citations
13.
Chung, Yu-An, et al.. (2019). Towards Unsupervised Speech-to-text Translation. 7170–7174. 22 indexed citations
14.
Chung, Yu-An, Wei-Ning Hsu, Hao Tang, & James Glass. (2019). An Unsupervised Autoregressive Model for Speech Representation Learning. 146–150. 210 indexed citations
15.
Hsu, Wei-Ning, Yu Zhang, Ron J. Weiss, et al.. (2019). Disentangling Correlated Speaker and Noise for Speech Synthesis via Data Augmentation and Adversarial Factorization. 5901–5905. 58 indexed citations
16.
Chung, Yu-An & James Glass. (2018). Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech. 811–815. 72 indexed citations
17.
Chung, Yu-An, et al.. (2018). Unsupervised cross-modal alignment of speech and text embedding spaces. Neural Information Processing Systems. 31. 7365–7375. 13 indexed citations
18.
Chung, Yu-An, et al.. (2016). Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Recurrent Neural Networks. arXiv (Cornell University). 13 indexed citations
19.
Chung, Yu-An, Hsuan-Tien Lin, & Shao‐Wen Yang. (2016). Cost-aware pre-training for multiclass cost-sensitive deep learning. arXiv (Cornell University). 1411–1417. 14 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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