Yi-Chieh Liu

According to our database, Yi-Chieh Liu authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Treatment Learning Causal Transformer for Noisy Image Classification.

Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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, Ankur Gandhe, Denis Filimonov, Shalini Ghosh, Andreas Stolcke, Ariya Rastrow, Ivan Bulyko

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Treatment Learning Transformer for Noisy Image Classification.

Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen

CoRR, 2022

Adversarial Reweighting for Speaker Verification Fairness.

Minho Jin, Chelsea Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation.

Ting-Wei Wu, Yung-An Hsieh, Yi-Chieh Liu

CoRR, 2021

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation.

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

End-to-End Neural Diarization: From Transformer to Conformer.

Yi-Chieh Liu, Eunjung Han, Chul Lee, Andreas Stolcke

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Robust Unsupervised Multi-Object Tracking In Noisy Environments.

Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

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

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

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, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér

CoRR, 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, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

Synthesizing New Retinal Symptom Images by Multiple Generative Models.

Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnér

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018