Yung-Sung Chuang

1.4k total citations · 1 hit paper
34 papers, 772 citations indexed

About

Yung-Sung Chuang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yung-Sung Chuang has authored 34 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yung-Sung Chuang's work include Natural Language Processing Techniques (15 papers), Topic Modeling (13 papers) and Speech Recognition and Synthesis (8 papers). Yung-Sung Chuang is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (13 papers) and Speech Recognition and Synthesis (8 papers). Yung-Sung Chuang collaborates with scholars based in Taiwan, United States and Hong Kong. Yung-Sung Chuang's co-authors include Hung-yi Lee, Shang-Wen Li, Cheng-I Lai, Guan-Ting Lin, Shuyan Dong, Shu-Wen Yang, Andy T. Liu, Zili Huang, Abdelrahman Mohamed and James Glass and has published in prestigious journals such as IEEE Transactions on Energy Conversion, Journal of marine science and technology and ACM Transactions on Asian and Low-Resource Language Information Processing.

In The Last Decade

Yung-Sung Chuang

31 papers receiving 741 citations

Hit Papers

SUPERB: Speech Processing... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yung-Sung Chuang Taiwan 10 643 269 100 66 29 34 772
Yossi Adi Israel 15 661 1.0× 395 1.5× 121 1.2× 65 1.0× 23 0.8× 56 838
Ryo Masumura Japan 13 517 0.8× 260 1.0× 76 0.8× 102 1.5× 15 0.5× 117 635
Changhan Wang United States 18 1.1k 1.7× 280 1.0× 161 1.6× 35 0.5× 13 0.4× 41 1.2k
Lars Maaløe Denmark 8 281 0.4× 121 0.4× 103 1.0× 22 0.3× 10 0.3× 18 389
Qiantong Xu Israel 7 643 1.0× 311 1.2× 80 0.8× 46 0.7× 11 0.4× 12 730
Hank Liao United States 12 687 1.1× 570 2.1× 83 0.8× 37 0.6× 17 0.6× 18 828
Adithya Renduchintala United States 6 855 1.3× 544 2.0× 89 0.9× 45 0.7× 8 0.3× 17 934
Xu Tan China 23 914 1.4× 398 1.5× 400 4.0× 34 0.5× 9 0.3× 61 1.1k
Javier Gónzalez-Domínguez Spain 11 1.1k 1.7× 932 3.5× 95 0.9× 34 0.5× 26 0.9× 21 1.2k
Yuya Unno United States 4 789 1.2× 543 2.0× 65 0.7× 43 0.7× 7 0.2× 5 863

Countries citing papers authored by Yung-Sung Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Yung-Sung Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung-Sung Chuang. 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 Yung-Sung Chuang. The network helps show where Yung-Sung Chuang may publish in the future.

Co-authorship network of co-authors of Yung-Sung Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Yung-Sung Chuang. A scholar is included among the top collaborators of Yung-Sung Chuang 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 Yung-Sung Chuang. Yung-Sung Chuang 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.
Zhang, Jingyu, Tianxing He, Yichen Wang, et al.. (2024). SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. 4067–4082. 9 indexed citations
2.
Hsieh, Cheng-Yu, Yung-Sung Chuang, Chunliang Li, et al.. (2024). Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. 14982–14995. 3 indexed citations
3.
Chuang, Yung-Sung, Linlu Qiu, Cheng-Yu Hsieh, et al.. (2024). Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps. 1419–1436. 3 indexed citations
4.
Chuang, Yung-Sung, et al.. (2024). Multimodal Robotic Manipulation Learning. 1–4. 2 indexed citations
5.
Zhang, Tianhua, Hongyin Luo, Yung-Sung Chuang, et al.. (2024). Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning. 4131–4155. 1 indexed citations
6.
Luo, Hongyin, Tianhua Zhang, Yung-Sung Chuang, et al.. (2023). Search Augmented Instruction Learning. 3717–3729. 6 indexed citations
7.
Chuang, Yung-Sung, Wei Fang, Shang-Wen Li, Wen-tau Yih, & James Glass. (2023). Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering. 12131–12147. 4 indexed citations
8.
Chuang, Yung-Sung, Hongyin Luo, Yang Zhang, et al.. (2022). DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4207–4218. 90 indexed citations
9.
Lai, Cheng-I, Erica Cooper, Yang Zhang, et al.. (2022). On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8447–8451. 3 indexed citations
10.
Lin, Guan-Ting, Yung-Sung Chuang, Shuwen Yang, et al.. (2022). DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering. Interspeech 2022. 5165–5169. 10 indexed citations
11.
Chuang, Yung-Sung, et al.. (2021). Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation. 1068–1077. 13 indexed citations
12.
Chuang, Yung-Sung, Hongyin Luo, James Glass, et al.. (2021). Mitigating Biases in Toxic Language Detection through Invariant Rationalization. 114–120. 10 indexed citations
13.
Yang, Shu-Wen, Po-Han Chi, Yung-Sung Chuang, et al.. (2021). SUPERB: Speech Processing Universal PERformance Benchmark. 1194–1198. 409 indexed citations breakdown →
14.
Chuang, Yung-Sung, et al.. (2020). SpeechBERT: An Audio-and-Text Jointly Learned Language Model for End-to-End Spoken Question Answering. 4168–4172. 58 indexed citations
15.
Chuang, Yung-Sung, et al.. (2019). SpeechBERT: Cross-Modal Pre-trained Language Model for End-to-end Spoken Question Answering.. 11 indexed citations
16.
Chuang, Yung-Sung, et al.. (2014). A novel STATCOM control scheme for the coordination with OLTC on voltage regulation. International Journal of Smart Grid and Clean Energy. 1 indexed citations
17.
Peng, Boyang, et al.. (2013). A Distributed Ranking Algorithm for the iTrust Information Search and Retrieval System. 199–208. 2 indexed citations
18.
Chuang, Yung-Sung, et al.. (2012). Next Innovation Playground: A culturaloriented product design model. Proceedings of DRS. 2 indexed citations
19.
Chuang, Yung-Sung & Chi‐Jui Wu. (2006). A DAMPING CONSTANT LIMITATION DESIGN OF POWER SYSTEM STABILIZER USING HYBRID DIFFERENTIAL EVOLUTION. Journal of marine science and technology. 14(2). 1 indexed citations
20.
Wu, Chi‐Jui & Yung-Sung Chuang. (2005). Design of decentralized output feedback power system stabilizers using hybrid differential evolution. IEEE Power Engineering Society General Meeting, 2005. 1. 2008–2015. 7 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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