Synthesizing New Retinal Symptom Images by Multiple Generative Models. - Yi-Chieh Liu; Hao-Hsiang Yang; Chao-Han Huck Yang; Jia-Hong Huang; Meng Tian 002; Hiromasa Morikawa; Yi-Chang James Tsai; Jesper Tegnér (ACCV Workshops, 2018)

Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; I-Hung Lin; Yi-Chieh Liu; Hiromasa Morikawa; Hao-Hsiang Yang; Jesper Tegnér (ACCV Workshops, 2018)

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; Yi-Chieh Liu; I-Hung Lin; Jesper Tegnér (CoRR, 2018)

When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks. - Chao-Han Huck Yang; Yi-Chieh Liu; Pin-Yu Chen; Xiaoli Ma; Yi-Chang James Tsai (ICIP, 2019)

When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks. - Chao-Han Huck Yang; Yi-Chieh Liu; Pin-Yu Chen; Xiaoli Ma; Yi-Chang James Tsai (CoRR, 2019)

Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. - Yi-Chieh Liu; Yung-An Hsieh; Min-Hung Chen; Chao-Han Huck Yang; Jesper Tegnér; Yi-Chang James Tsai (ICASSP, 2020)

Robust Unsupervised Multi-Object Tracking In Noisy Environments. - Chao-Han Huck Yang; Mohit Chhabra; Yi-Chieh Liu; Quan Kong; Tomoaki Yoshinaga; Tomokazu Murakami (ICIP, 2021)

End-to-End Neural Diarization: From Transformer to Conformer. - Yi-Chieh Liu; Eunjung Han; Chul Lee; Andreas Stolcke (Interspeech, 2021)

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. - Jia-Hong Huang; Chao-Han Huck Yang; Fangyu Liu 001; Meng Tian 002; Yi-Chieh Liu; Ting-Wei Wu; I-Hung Lin; Kang Wang; Hiromasa Morikawa; Hernghua Chang; Jesper Tegnér; Marcel Worring (WACV, 2021)

Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation. - Ting-Wei Wu; Yung-An Hsieh; Yi-Chieh Liu (CoRR, 2021)

Adversarial Reweighting for Speaker Verification Fairness. - Minho Jin; Chelsea Ju; Zeya Chen; Yi-Chieh Liu; Jasha Droppo; Andreas Stolcke (INTERSPEECH, 2022)

Treatment Learning Transformer for Noisy Image Classification. - Chao-Han Huck Yang; I-Te Danny Hung; Yi-Chieh Liu; Pin-Yu Chen (CoRR, 2022)

Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. - Chao-Han Huck Yang; Yile Gu; Yi-Chieh Liu; Shalini Ghosh; Ivan Bulyko; Andreas Stolcke (ASRU, 2023)

Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. - 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; et al. (ASRU, 2023)

Treatment Learning Causal Transformer for Noisy Image Classification. - Chao-Han Huck Yang; I-Te Danny Hung; Yi-Chieh Liu; Pin-Yu Chen (WACV, 2023)