Andy T. Liu

1.6k total citations · 2 hit papers
12 papers, 699 citations indexed

About

Andy T. Liu is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Andy T. Liu has authored 12 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Signal Processing and 1 paper in Computer Networks and Communications. Recurrent topics in Andy T. Liu's work include Speech Recognition and Synthesis (9 papers), Natural Language Processing Techniques (5 papers) and Music and Audio Processing (4 papers). Andy T. Liu is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Natural Language Processing Techniques (5 papers) and Music and Audio Processing (4 papers). Andy T. Liu collaborates with scholars based in Taiwan, United States and Hong Kong. Andy T. Liu's co-authors include Hung-yi Lee, Shang-Wen Li, Shu-Wen Yang, Da-Rong Liu, Shinji Watanabe, Po-Han Chi, Kushal Lakhotia, Yist Y. Lin, Abdelrahman Mohamed and Shuyan Dong and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Andy T. Liu

9 papers receiving 671 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.

SUPERB: Speech Processing Universal PERformance Benchmark

2021 409 citations Shu-Wen Yang, Po-Han Chi et al. profile →
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech

2021 199 citations Andy T. Liu, Shang-Wen Li et al. IEEE/ACM 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
Andy T. Liu Taiwan	7	593	392	85	51	21	12	699
Jiatong Shi United States	13	807 1.4×	497 1.3×	93 1.1×	63 1.2×	20 1.0×	50	950
Kushal Lakhotia Israel	10	830 1.4×	456 1.2×	93 1.1×	94 1.8×	30 1.4×	11	950
Cheng-I Lai United States	10	718 1.2×	567 1.4×	80 0.9×	104 2.0×	29 1.4×	14	875
Qiantong Xu Israel	7	643 1.1×	311 0.8×	46 0.5×	80 1.6×	26 1.2×	12	730
Zili Huang China	10	626 1.1×	499 1.3×	64 0.8×	26 0.5×	14 0.7×	21	720
Christian Fuegen United States	12	691 1.2×	427 1.1×	39 0.5×	54 1.1×	12 0.6×	33	789
Yuya Unno United States	4	789 1.3×	543 1.4×	43 0.5×	65 1.3×	24 1.1×	5	863
Po-Han Chi Taiwan	2	439 0.7×	293 0.7×	69 0.8×	42 0.8×	15 0.7×	3	527
Ariya Rastrow United States	16	905 1.5×	562 1.4×	50 0.6×	59 1.2×	9 0.4×	54	955

Countries citing papers authored by Andy T. Liu

Since Specialization

Citations

This map shows the geographic impact of Andy T. Liu'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 Andy T. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy T. Liu more than expected).

Fields of papers citing papers by Andy T. Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy T. Liu. 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 Andy T. Liu. The network helps show where Andy T. Liu may publish in the future.

Co-authorship network of co-authors of Andy T. Liu

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

12 of 12 papers shown

1.

Liu, Andy T., Vijay Prakash Dwivedi, Thanh-Tung Nguyen, et al.. (2025). MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. Proceedings of the AAAI Conference on Artificial Intelligence. 39(22). 23496–23504.

2.

Liu, Yutong, et al.. (2025). uMedSum: A Unified Framework for Clinical Abstractive Summarization. 2653–2672.

3.

Liu, Andy T., et al.. (2024). On the social bias of speech self-supervised models. 4638–4642.

4.

Liu, Da-Rong, et al.. (2023). Parallel Synthesis for Autoregressive Speech Generation. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 3095–3111. 2 indexed citations

5.

Liu, Andy T., et al.. (2022). Don't Speak Too Fast: The Impact of Data Bias on Self-Supervised Speech Models. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3258–3262. 4 indexed citations

6.

Yang, Shu-Wen, Po-Han Chi, Yung-Sung Chuang, et al.. (2021). SUPERB: Speech Processing Universal PERformance Benchmark. 1194–1198. 409 indexed citations breakdown →

7.

Wu, Haibin, Li Xu, Andy T. Liu, et al.. (2021). Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 202–217. 13 indexed citations

8.

Liu, Andy T., Shang-Wen Li, & Hung-yi Lee. (2021). TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 2351–2366. 199 indexed citations breakdown →

9.

Wu, Haibin, Xu Li, Andy T. Liu, et al.. (2021). Adversarial Defense for Automatic Speaker Verification by Cascaded Self-Supervised Learning Models. 6718–6722. 23 indexed citations

10.

Yang, Shu-Wen, Andy T. Liu, & Hung-yi Lee. (2020). Understanding Self-Attention of Self-Supervised Audio Transformers. 3785–3789. 12 indexed citations

11.

Wu, Haibin, Andy T. Liu, & Hung-yi Lee. (2020). Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning. 3780–3784. 18 indexed citations

12.

Liu, Andy T., Po‐Chun Hsu, & Hung-yi Lee. (2019). Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion. arXiv (Cornell University). 1108–1112. 19 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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