Andy T. Liu

Orcid: 0000-0002-2502-3992

According to our database1, Andy T. Liu authored at least 23 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Representation Learning of Structured Data for Medical Foundation Models.
Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, 2025

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

uMedSum: A Unified Framework for Clinical Abstractive Summarization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
A Large-Scale Evaluation of Speech Foundation Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.
CoRR, 2024

uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization.
CoRR, 2024

Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024

On the social bias of speech self-supervised models.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

2023
Parallel Synthesis for Autoregressive Speech Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.
CoRR, 2022

Don't Speak Too Fast: The Impact of Data Bias on Self-Supervised Speech Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

SUPERB: Speech Processing Universal PERformance Benchmark.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Adversarial Defense for Automatic Speaker Verification by Cascaded Self-Supervised Learning Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Understanding Self-Attention of Self-Supervised Audio Transformers.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Towards Robust Neural Vocoding for Speech Generation: A Survey.
CoRR, 2019

Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019


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