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2020 – today
- 2024
[c21]Bi-Cheng Yan, Jiun-Ting Li, Yi-Cheng Wang, Hsin-Wei Wang, Tien-Hong Lo, Yung-Chang Hsu, Wei-Cheng Chao, Berlin Chen:
An Effective Pronunciation Assessment Approach Leveraging Hierarchical Transformers and Pre-training Strategies. ACL (1) 2024: 1737-1747- [c20]Yi-Cheng Wang, Hsin-Wei Wang, Bi-Cheng Yan, Chi-Han Lin, Berlin Chen:
DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition. LREC/COLING 2024: 4333-4342 - [c19]Tzu-Ting Yang, Hsin-Wei Wang, Yi-Cheng Wang, Chi-Han Lin, Berlin Chen:
An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglement. ICASSP 2024: 11226-11230 - [i8]Tzu-Ting Yang, Hsin-Wei Wang, Yi-Cheng Wang, Chi-Han Lin, Berlin Chen:
An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglement. CoRR abs/2402.17189 (2024) - [i7]Yi-Cheng Wang, Hsin-Wei Wang, Bi-Cheng Yan, Chi-Han Lin, Berlin Chen:
DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition. CoRR abs/2403.17645 (2024) - [i6]Yi-Cheng Wang, Li-Ting Pai, Bi-Cheng Yan, Hsin-Wei Wang, Chi-Han Lin, Berlin Chen:
An Effective Context-Balanced Adaptation Approach for Long-Tailed Speech Recognition. CoRR abs/2409.06468 (2024) - 2023
- [c18]Yi-Cheng Wang, Tzu-Ting Yang, Hsin-Wei Wang, Bi-Cheng Yan, Berlin Chen:
AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning. APSIPA ASC 2023: 2331-2335 - [c17]Bi-Cheng Yan, Hsin-Wei Wang, Yi-Cheng Wang, Jiun-Ting Li, Chi-Han Lin, Berlin Chen:
Preserving Phonemic Distinctions For Ordinal Regression: A Novel Loss Function For Automatic Pronunciation Assessment. ASRU 2023: 1-7 - [c16]Bi-Cheng Yan, Hsin-Wei Wang, Yi-Cheng Wang, Berlin Chen:
Effective Graph-Based Modeling of Articulation Traits for Mispronunciation Detection and Diagnosis. ICASSP 2023: 1-5 - [i5]Yi-Cheng Wang, Tzu-Ting Yang, Hsin-Wei Wang, Bi-Cheng Yan, Berlin Chen:
AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning. CoRR abs/2309.01395 (2023) - [i4]Bi-Cheng Yan, Hsin-Wei Wang, Yi-Cheng Wang, Jiun-Ting Li, Chi-Han Lin, Berlin Chen:
Preserving Phonemic Distinctions for Ordinal Regression: A Novel Loss Function for Automatic Pronunciation Assessment. CoRR abs/2310.01839 (2023) - [i3]Tzu-Ting Yang, Hsin-Wei Wang, Berlin Chen:
Leveraging Language ID to Calculate Intermediate CTC Loss for Enhanced Code-Switching Speech Recognition. CoRR abs/2312.09583 (2023) - 2022
- [c15]Hsin-Wei Wang, Bi-Cheng Yan, Hsuan-Sheng Chiu, Yung-Chang Hsu, Berlin Chen:
Exploring Non-Autoregressive End-to-End Neural Modeling for English Mispronunciation Detection and Diagnosis. ICASSP 2022: 6817-6821 - [c14]Bi-Cheng Yan, Hsin-Wei Wang, Shao-Wei Fan-Jiang, Fu-An Chao, Berlin Chen:
Maximum F1-Score Training for End-to-End Mispronunciation Detection and Diagnosis of L2 English Speech. ICME 2022: 1-5 - [c13]Bi-Cheng Yan, Hsin-Wei Wang, Shih-Hsuan Chiu, Hsuan-Sheng Chiu, Berlin Chen:
Effective Cross-Utterance Language Modeling for Conversational Speech Recognition. IJCNN 2022: 1-6 - [c12]Yi-Cheng Wang, Tzu-Ting Yang, Hsin-Wei Wang, Yung-Chang Hsu, Berlin Chen:
Building an Enhanced Autoregressive Document Retriever Leveraging Supervised Contrastive Learning. ROCLING 2022: 273-282 - [c11]Bi-Cheng Yan, Hsin-Wei Wang, Berlin Chen:
Peppanet: Effective Mispronunciation Detection and Diagnosis Leveraging Phonetic, Phonological, and Acoustic Cues. SLT 2022: 1045-1051 - 2021
- [c10]Hsin-Wei Wang, Bi-Cheng Yan, Yung-Chang Hsu, Berlin Chen:
Exploring the Integration of E2E ASR and Pronunciation Modeling for English Mispronunciation Detection. ROCLING 2021: 124-131 - [i2]Hsin-Wei Wang, Bi-Cheng Yan, Hsuan-Sheng Chiu, Yung-Chang Hsu, Berlin Chen:
Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis. CoRR abs/2111.00844 (2021) - [i1]Bi-Cheng Yan, Hsin-Wei Wang, Shih-Hsuan Chiu, Hsuan-Sheng Chiu, Berlin Chen:
Conversational speech recognition leveraging effective fusion methods for cross-utterance language modeling. CoRR abs/2111.03333 (2021)
2010 – 2019
- 2014
- [j3]Hsin-Wei Wang, Chia-Han Chu, Wen-Ching Wang
, Tun-Wen Pai:
A local average distance descriptor for flexible protein structure comparison. BMC Bioinform. 15: 95 (2014) - [c9]Hsin-Wei Wang, Ming-Wei Chang, Hong Shiang Lin, Ming Ouhyoung:
Segmentation based stereo matching using color grouping. SIGGRAPH Posters 2014: 73:1 - 2013
- [j2]Ying-Tsang Lo, Hsin-Wei Wang, Tun-Wen Pai, Wen-Shyong Tzou, Hui-Huang Hsu, Hao-Teng Chang:
Protein-ligand binding region prediction (PLB-SAVE) based on geometric features and CUDA acceleration. BMC Bioinform. 14(S-4): S4 (2013) - 2011
- [j1]Hsin Hsin Chang, Hsin-Wei Wang:
The Moderating Effect of Customer Perceived Value on Online Shopping Behaviour. Online Inf. Rev. 35(3): 333-359 (2011) - [c8]Hsin-Wei Wang, Ya-Chi Lin, Tun-Wen Pai, Pei-Wen Tsai, Hao-Teng Chang:
A Hybrid Method of Propensity Scales and Support Vector Machine in a Linear Epitope Prediction. CISIS 2011: 541-546 - [c7]Cing-Han Yang, Hsin-Wei Wang, Tsan-Huang Shih, Tun-Wen Pai:
Poster: Identification and classification of internal repeats in proteins. ICCABS 2011: 266 - 2010
- [c6]Ying-Tsang Lo, Yueh-Lin Tsai, Hsin-Wei Wang, Yu-Ping Hsu, Tun-Wen Pai:
Using Solid Angles to Detect Protein Docking Regions by CUDA Parallel Algorithms. ISPA 2010: 536-541
2000 – 2009
- 2009
- [c5]Dong-Guk Shin, Seung-Hyun Hong, Pujan Joshi, Ravi Nori, Baikang Pei, Hsin-Wei Wang, Patrick Harrington, Lynn Kuo, Ivo Kalajzic, David W. Rowe:
PBC: A Software Framework Facilitating Pattern-Based Clustering for Microarray Data Analysis. IJCBS 2009: 30-36 - 2008
- [c4]Saira Ali Kazmi, Yoo-Ah Kim, Baikang Pei, Ravi Nori, David W. Rowe, Hsin-Wei Wang, Alan Wong, Dong-Guk Shin:
Meta Analysis of Microarray Data Using Gene Regulation Pathways. BIBM 2008: 37-42 - 2007
- [c3]Kuo-Ching Liu, Hsin-Wei Wang, Hui-Feng Huang:
Enhancement of the Mutual Authentication protocol on RFID Passive Tags. IIH-MSP 2007: 261-264 - 2006
- [c2]Dong-Guk Shin, John Bluis, Yoo Ah Kim, Winfried Krueger, Jeffrey Maddox, Ravi Nori, Nathan Viniconis, Hsin-Wei Wang, Alan Wong, David W. Rowe:
A Computational Inference Framework for analyzing Gene Regulation Pathway using Microarray Data. BIBE 2006: 299-306 - 2001
- [c1]John Bluis, Ravi Nori, Hsin-Wei Wang, Pinglei Zhou, J. Peter Gogarten, Dong-Guk Shin:
Comparing Trees in a Phylogenetic Relationship Repository. BIBE 2001: 166-173
Coauthor Index
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