Zih-Ching Chen

25 papers A* 1A 2Journal 13Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Progressive Generative Adversarial Network Based on Spatial Style for Makeup Transfer.
Expert Syst. J. Knowl. Eng.
Liang-Ying Ke, Zih-Ching Chen, Chih-Hsien Hsia
2026 A* conf
SmartEyes: Plug-and-Play Event Detection for Retail Loss Prevention.
AAAI
Pi-Wei Chen, Jerry Chun-Wei Lin, Baris Fahri Kahriman, Zih-Ching Chen, Rafal Cupek, Marek Drewniak
2025 J jnl
Beyond Human-prompting: Adaptive Prompt Tuning with Semantic Alignment for Anomaly Detection.
CoRR
Pi-Wei Chen, Jerry Chun-Wei Lin, Wei-Han Chen, Jia Ji, Zih-Ching Chen, Feng-Hao Yeh, Chao-Chun Chen
2025 J jnl
Continual Pre-Training is (not) What You Need in Domain Adaption.
CoRR
Pin-Er Chen, Da-Chen Lian, Shu-Kai Hsieh, Sieh-Chuen Huang, Hsuan-Lei Shao, Jun-Wei Chiu, Yang-Hsien Lin, Zih-Ching Chen, Cheng-Kuang, Eddie TC Huang, Simon See
2025 — conf
FedAGV: Federated Meta-Learning for Rapid Adaptation of AGV Trajectory Planing.
FedEdge-AI@MobiCom
Pi-Wei Chen, Naveen Sharma, Rafal Cupek, Marek Drewniak, Zih-Ching Chen, Jerry Chun-Wei Lin
2025 — conf
NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model.
ACL (6)
Yen-Ting Lin, Zhehuai Chen, Piotr Zelasko, Zhen Wan, Xuesong Yang, Zih-Ching Chen, Krishna C. Puvvada, Ke Hu, Szu-Wei Fu, Jun Wei Chiu, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Chao-Han Huck Yang
2024 J jnl
How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario.
CoRR
Shih-Heng Wang, Zih-Ching Chen, Jiatong Shi, Ming-To Chuang, Guan-Ting Lin, Kuan-Po Huang, David Harwath, Shang-wen Li, Hung-yi Lee
2024 — conf
Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation For Code-Switching ASR Using Realistic Data.
SLT
Liang-Hsuan Tseng, Zih-Ching Chen, Wei-Shun Chang, Cheng-Kuang Lee, Tsung-Ren Huang, Hung-yi Lee
2024 J jnl
Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data.
CoRR
Liang-Hsuan Tseng, Zih-Ching Chen, Wei-Shun Chang, Cheng-Kuang Lee, Tsung-Ren Huang, Hung-yi Lee
2024 J jnl
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts.
CoRR
Yen-Ting Lin, Chao-Han Huck Yang, Zhehuai Chen, Piotr Zelasko, Xuesong Yang, Zih-Ching Chen, Krishna C. Puvvada, Szu-Wei Fu, Ke Hu, Jun Wei Chiu, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang
2024 — conf
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques.
ICASSP Workshops
Tzu-Han Lin, How-Shing Wang, Hao-Yung Weng, Kuang-Chen Peng, Zih-Ching Chen, Hung-yi Lee
2024 J jnl
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques.
CoRR
Tzu-Han Lin, How-Shing Wang, Hao-Yung Weng, Kuang-Chen Peng, Zih-Ching Chen, Hung-yi Lee
2023 — conf
Chapter: Exploiting Convolutional Neural Network Adapters for Self-Supervised Speech Models.
ICASSP Workshops
Zih-Ching Chen, Yu-Shun Sung, Hung-yi Lee
2023 A conf
How to Estimate Model Transferability of Pre-Trained Speech Models?
INTERSPEECH
Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
2023 J jnl
How to Estimate Model Transferability of Pre-Trained Speech Models?
CoRR
Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
2022 — conf
AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks.
NAACL-HLT (Findings)
Chin-Lun Fu, Zih-Ching Chen, Yun-Ru Lee, Hung-yi Lee
2022 J jnl
AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks.
CoRR
Chin-Lun Fu, Zih-Ching Chen, Yun-Ru Lee, Hung-yi Lee
2022 J jnl
CHAPTER: Exploiting Convolutional Neural Network Adapters for Self-supervised Speech Models.
CoRR
Zih-Ching Chen, Yu-Shun Sung, Hung-yi Lee
2022 — conf
Exploring Efficient-Tuning Methods in Self-Supervised Speech Models.
SLT
Zih-Ching Chen, Chin-Lun Fu, Chih-Ying Liu, Shang-Wen (Daniel) Li, Hung-yi Lee
2022 J jnl
Exploring Efficient-tuning Methods in Self-supervised Speech Models.
CoRR
Zih-Ching Chen, Chin-Lun Fu, Chih-Ying Liu, Shang-wen Li, Hung-yi Lee
2022 A conf
Learning Facial Liveness Representation for Domain Generalized Face Anti-Spoofing.
ICME
Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu, Shang-Fu Chen, Yu-Chiang Frank Wang
2022 J jnl
Learning Facial Liveness Representation for Domain Generalized Face Anti-spoofing.
CoRR
Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu, Shang-Fu Chen, Yu-Chiang Frank Wang
2021 J jnl
Design of a Lightweight Palmf-Vein Authentication System Based on Model Compression.
J. Inf. Sci. Eng.
Zih-Ching Chen, Sin-Ye Jhong, Chin-Hsien Hsia
2021 — conf
Music Mood Classification System for Streaming Platform Analysis via Deep Learning Based Feature Extraction.
ICCE-TW
Yu-Chia Chen, Zih-Ching Chen, Chih-Hsien Hsia
2019 — conf
An Evolutionary Computation Approach for Approximate Computing of PNN Hardware Circuits.
ISPACS
Ching-Yi Chen, Che-Wei Chang, Zih-Ching Chen