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ORCIDYi-Chieh Liu
Person information
Other persons with a similar name
- Yin-Chieh Liu
- Ying-Chieh Liu 0001
![[0000-0003-1876-7632]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1876-7632")
— Chang Gung University, Department of Industrial Design, College of Management, Taiwan (and 2 more) - Ying-Chieh Liu 0002 (aka: Ying Chieh Allan Liu 0002) — National Chin-Yi University of Technology, Department of Information Management, Taichung, Taiwan (and 1 more)
- Ying Chieh Liu 0003 (aka: Ying-Chieh Liu 0003) — Chaoyang University of Technology, Taichung, Taiwan
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2020 – today
- 2023
[c11]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: 1-8- [c10]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: 1-8 - [c9]Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen:
Treatment Learning Causal Transformer for Noisy Image Classification. WACV 2023: 6128-6139 - [i12]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 abs/2309.15223 (2023) - [i11]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 abs/2309.15649 (2023) - 2022
- [c8]Minho Jin, Chelsea Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke:
Adversarial Reweighting for Speaker Verification Fairness. INTERSPEECH 2022: 4800-4804 - [i10]Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen:
Treatment Learning Transformer for Noisy Image Classification. CoRR abs/2203.15529 (2022) - [i9]Minho Jin, Chelsea J.-T. Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke:
Adversarial Reweighting for Speaker Verification Fairness. CoRR abs/2207.07776 (2022) - 2021
- [c7]Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami:
Robust Unsupervised Multi-Object Tracking In Noisy Environments. ICIP 2021: 2239-2243 - [c6]Yi-Chieh Liu, Eunjung Han, Chul Lee, Andreas Stolcke:
End-to-End Neural Diarization: From Transformer to Conformer. Interspeech 2021: 3081-3085 - [c5]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: 2441-2451 - [i8]Ting-Wei Wu, Yung-An Hsieh, Yi-Chieh Liu:
Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation. CoRR abs/2105.07622 (2021) - [i7]Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami:
Robust Unsupervised Multi-Object Tracking in Noisy Environments. CoRR abs/2105.10005 (2021) - [i6]Yi-Chieh Liu, Eunjung Han, Chul Lee, Andreas Stolcke:
End-to-end Neural Diarization: From Transformer to Conformer. CoRR abs/2106.07167 (2021) - 2020
- [c4]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: 2338-2342 - [i5]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 abs/2011.00569 (2020)
2010 – 2019
- 2019
- [c3]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: 3811-3815 - [i4]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 abs/1902.03380 (2019) - [i3]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 abs/1902.04147 (2019) - [i2]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 abs/1911.02172 (2019) - 2018
- [c2]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: 235-250 - [c1]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: 323-338 - [i1]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 abs/1808.05754 (2018)
Coauthor Index
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