Yi-Chieh Liu

Georgia Institute of Technology — United States

Computer Science · Physical Sciences

5h-index169citations19works0.02yr avg
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Research Topics

Speech Recognition and Synthesis(5), Retinal Imaging and Analysis(5), Topic Modeling(4), Domain Adaptation and Few-Shot Learning(4), Adversarial Robustness in Machine Learning(4)

Publications19 total

Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition
2023· 31 cited
Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting
2023· 34 cited
Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting
arXiv (Cornell University)·2023· 2 citedOpen Access
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition
arXiv (Cornell University)·2023· 3 citedOpen Access
Treatment Learning Causal Transformer for Noisy Image Classification
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)·2023· 10 cited
Adversarial Reweighting for Speaker Verification Fairness
arXiv (Cornell University)·2022Open Access
Treatment Learning Causal Transformer for Noisy Image Classification
arXiv (Cornell University)·2022Open Access
Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation
arXiv (Cornell University)·2021Open Access
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
2021· 61 cited
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
arXiv (Cornell University)·2020· 2 citedOpen Access
Jhhuangkay/DeepOpht-Medical-Report-Generation-for-Retinal-Images-via-Deep-Models-and-Visual-Explanation:
2020
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding
2020· 2 citedOpen Access
Interpretable Self-Attention Temporal Reasoning for Driving Behavior\n Understanding
arXiv (Cornell University)·2019· 19 citedOpen Access
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks
2019· 1 citedOpen Access
Synthesizing New Retinal Symptom Images by Multiple Generative Models
arXiv (Cornell University)·2019Open Access
When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks
arXiv (Cornell University)·2019· 2 citedOpen Access
Auto-Classification of Retinal Diseases in the Limit of Sparse Data\n Using a Two-Streams Machine Learning Model
arXiv (Cornell University)·2018· 1 citedOpen Access
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
arXiv (Cornell University)·2018· 1 citedOpen Access
從消費論身分認同: 從社會與人際關係間的過程論貝琪的自我體現;Consumption as a Quest for Identity: Becky Bloomwood’s Self-Realization as a Social and Interpersonal Process
2012

Frequent Co-authors

Chao-Han Huck Yang(13), Jesper Tegnér(8), Jia-Hong Huang(6), Hiromasa Morikawa(6), I-Hung Lin(5), Andreas Stolcke(5), Tian Meng(4), Ting-Wei Wu(4), Yile Gu(4), Shalini Ghosh(4), Ivan Bulyko(4), Pin‐Yu Chen(4), Yichang Tsai(4), Fangyu Liu(3), Herng-Hua Chang(3), Marcel Worring(3), Yung‐An Hsieh(3), Hao-Hsiang Yang(3), Yu Yu(2), Jari Kolehmainen(2)