About Me: Yi-Chang Chen

Posted on April 05, 2024 in Life. View: 4,033

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YC / Yi-Chang Chen / 陳宜昌

YC currently serves as a Senior Technology Manager at MediaTek Research. He has over 6 years of research and development experience in machine learning, with a focus on language, visual, and speech AI. With 3 years of team leadership experience, he adeptly leads teams through the entire process from research to application of technologies. He has published 5 machine learning papers, including in renowned conferences such as INTERSPEECH, ASRU, and ICIP. Additionally, he serves as the webmaster of YC Note.

KEY ACHIEVEMENTS
📌 [Language] Developed Breeze-7B and BreeXe-8x7B, with Breeze outperforming other models at the same size level in Chinese, and BreeXe performing on par with GPT3.5 in both English and Traditional Chinese.
📌 [Speech] Proposed a novel prompt-sensitive speech recognition model, Clairaudience. Accepted for the paper at ASRU 2023.
📌 [Vision] Proposed innovative unsupervised domain adaptation methods for text recognition seq-to-seq models, achieving SoTA results on public datasets. Accepted for the paper at ICIP 2022.
📌 [Language] Introduced a novel architecture for Mandarin grapheme-to-phoneme (g2p) conversion, named g2pW, achieving SoTA performance on a public dataset. Accepted for the paper at INTERSPEECH 2022.

EXPERIENCE
📌 MediaTek Research, Senior Technology Manager | Mar. 2024 - Present @Taipei, Taiwan
📌 MediaTek Research, Senior Machine Learning Researcher | Mar. 2023 - Mar. 2024 @Taipei, Taiwan
📌 E.Sun Commercial Bank, Lead Machine Learning Researcher | Feb. 2021 - Mar. 2023 @Taipei, Taiwan
📌 E.Sun Commercial Bank, Machine Learning Engineer | Mar. 2020 - Feb. 2021 @Taipei, Taiwan
📌 Bridgewell, Machine Learning Engineer | Mar. 2018 - Mar. 2020 @Taipei, Taiwan
📌 Ur Warm Pet Cafe, Resident Singer | Mar. 2017 - Mar. 2018 @Hsinchu, Taiwan
📌 TSMC, Photo Lithography Software R&D Engineer | Nov. 2015 - Mar. 2018 @Hsinchu, Taiwan

PUBLICATIONS
📌 Feng-Ting Liao, Yung-Chieh Chan, Yi-Chang Chen, Chan-Jan Hsu, Da-shan Shiu, “Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning,” in ASRU, 2023. [Paper][Code]
📌 Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang, and Yi-Ren Yeh, “g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin,” in INTERSPEECH, 2022. [Paper][Code]
📌 Yen-Cheng Chang, Yi-Chang Chen, Yu-Chuan Chang, and Yi-Ren Yeh, “SMILE: Sequence-to-Sequence Domain Adaptation with Minimizing Latent Entropy for Text Image Recognition,” in ICIP, 2022. [Paper]
📌 Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang, and Yi-Ren Yeh, “Traditional Chinese Synthetic Datasets Verified with Labeled Data for Scene Text Recognition,” in DLVDR Workshop on ICPR, 2022. [Paper][Code]
📌 Yi-Chang Chen, Chun-Yen Cheng, Chien-An Chen, Ming-Chieh Sung, and Yi-Ren Yeh, “Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition,” in ROCLING, 2021. [Paper][Code]

HONORS
📌 The top 5% (rank: 34/12,784) of STAGE 1 of the Global Alphathon 2022, hosted by WorldQuant (2022)
📌 T-Brain: AICUP2021 Traditional Chinese scene text recognition 2nd Place (2021)
📌 Best Paper Award in ROCLING 2021 (2021)
📌 T-Brain: AICUP2021 Traditional Chinese scene text detection 7th Place (2021)
📌 Kaggle: Shopee - Price Match Guarantee Top 3% (2021)
📌 Kaggle: Shopee Code League - Address Elements Extraction Top 3% (2021)
📌 T-Brain E.Sun House Price Prediction Competition 1st Place (2019)
📌 Deans' Award for Excellent Master Thesis (2014)
📌 Honorary member, Phi Tau Phi Scholastic Honor Society of The Republic of China (2012)
📌 Excellent Graduate of Bachelor in Physics (2012)