Yi-Chieh Liu - RankMe

23 papers A 4B 2C 2Misc 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	C	`conf`	Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. ASRU Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
2023	J	`jnl`	Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting. CoRR Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
2023	C	`conf`	Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. ASRU 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
2023	J	`jnl`	Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. CoRR 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
2023	A	`conf`	Treatment Learning Causal Transformer for Noisy Image Classification. WACV Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
2022	A	`conf`	Adversarial Reweighting for Speaker Verification Fairness. INTERSPEECH Minho Jin, Chelsea Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke
2022	J	`jnl`	Adversarial Reweighting for Speaker Verification Fairness. CoRR Minho Jin, Chelsea J.-T. Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke
2022	J	`jnl`	Treatment Learning Transformer for Noisy Image Classification. CoRR Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
2021	A	`conf`	DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. WACV 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
2021	A	`conf`	End-to-End Neural Diarization: From Transformer to Conformer. Interspeech Yi-Chieh Liu, Eunjung Han, Chul Lee, Andreas Stolcke
2021	J	`jnl`	End-to-end Neural Diarization: From Transformer to Conformer. CoRR Yi-Chieh Liu, Eunjung Han, Chul Lee, Andreas Stolcke
2021	J	`jnl`	Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation. CoRR Ting-Wei Wu, Yung-An Hsieh, Yi-Chieh Liu
2021	B	`conf`	Robust Unsupervised Multi-Object Tracking In Noisy Environments. ICIP Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami
2021	J	`jnl`	Robust Unsupervised Multi-Object Tracking in Noisy Environments. CoRR Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami
2020	J	`jnl`	DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. CoRR 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
2020	Misc	`conf`	Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. ICASSP Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
2019	J	`jnl`	Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. CoRR Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
2019	J	`jnl`	Synthesizing New Retinal Symptom Images by Multiple Generative Models. CoRR Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yichang James Tsai, Jesper Tegnér
2019	B	`conf`	When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks. ICIP Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
2019	J	`jnl`	When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks. CoRR Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
2018	J	`jnl`	Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. CoRR Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér
2018	—	`conf`	Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. ACCV Workshops Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér
2018	—	`conf`	Synthesizing New Retinal Symptom Images by Multiple Generative Models. ACCV Workshops Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnér