Yi-Chieh Liu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Temporal Reasoning

Image Classification

Speech Recognition

Driving Behavior

Top Venues

Publications

Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. ASRU (2023)
Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen, Prashanth Gurunath Shivakumar, Yile Gu, Sungho Ryu Roger Ren, Qi Luo, Aditya Gourav, I-Fan Chen, Yi-Chieh Liu, Tuan Dinh, Ankur Gandhe, Denis Filimonov, Shalini Ghosh, Andreas Stolcke, Ariya Rastrow, Ivan Bulyko
Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. ASRU (2023)
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
Treatment Learning Causal Transformer for Noisy Image Classification. WACV (2023)
Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting. CoRR (2023)
Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen, Prashanth Gurunath Shivakumar, Yile Gu, Sungho Ryu, Roger Ren, Qi Luo, Aditya Gourav, I-Fan Chen, Yi-Chieh Liu, Tuan Dinh, Ankur Gandhe, Denis Filimonov, Shalini Ghosh, Andreas Stolcke, Ariya Rastrow, Ivan Bulyko
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. CoRR (2023)
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
Treatment Learning Transformer for Noisy Image Classification. CoRR (2022)
Minho Jin, Chelsea Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke
Adversarial Reweighting for Speaker Verification Fairness. INTERSPEECH (2022)
Minho Jin, Chelsea J.-T. Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke
Adversarial Reweighting for Speaker Verification Fairness. CoRR (2022)
Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. WACV (2021)
Ting-Wei Wu, Yung-An Hsieh, Yi-Chieh Liu
Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation. CoRR (2021)
Yi-Chieh Liu, Eunjung Han, Chul Lee, Andreas Stolcke
End-to-end Neural Diarization: From Transformer to Conformer. CoRR (2021)
Yi-Chieh Liu, Eunjung Han, Chul Lee, Andreas Stolcke
End-to-End Neural Diarization: From Transformer to Conformer. Interspeech (2021)
Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. CoRR (2020)
Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. ICASSP (2020)
Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yichang James Tsai, Jesper Tegnér
Synthesizing New Retinal Symptom Images by Multiple Generative Models. CoRR (2019)
Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. CoRR (2019)
Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks. ICIP (2019)
Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks. CoRR (2019)
Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. CoRR (2018)
Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér
Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. ACCV Workshops (2018)
Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnér
Synthesizing New Retinal Symptom Images by Multiple Generative Models. ACCV Workshops (2018)