About Me: Yi-Chang Chen

Yi-Chang (YC) Chen 陳宜昌

➤ Email: [email protected]
➤ Website: https://ycc.idv.tw/
➤ Facebook: https://www.facebook.com/yc.note
➤ Github: https://github.com/GitYCC
➤ Linkedin: https://www.linkedin.com/in/yi-chang-chen-aba1b6114/

SUMMERY
📌 Machine learning engineer/researcher with 5+ years of experience, working in computer vision (CV), natural language processing/understanding (NLP/NLU), recommender, and speech.
📌 Published 4 machine learning papers which were accepted by INTERSPEECH, ICIP, Workshop on ICPR, and ROCLING (where we won the best paper award).
📌 Leaded a research team at E.Sun Bank.
📌 A blogger and guitar singer.

EXPERIENCE
📌 MediaTek Research, Senior Machine Learning Researcher | Mar. 2023 - Present @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
📌 National Taiwan University, Teaching Assistant of General Physics Experiment | Sep. 2012 - June 2014 @Taipei, Taiwan

EDUCATION
📌 National Taiwan University, Master in Physics | Sep. 2012 - June 2014 @Taipei, Taiwan
📌 National Sun Yat-Sen University, Bachelor in Physics | Sep. 2009 - June 2012 @Kaohsiung, Taiwan

PUBLICATIONS
📌 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)
📌 Academic Achievement Award every semester (2009-2012)

SKILLS
📌 Programming languages: Python, C, Java and C#.
📌 Machine learning tools: deep learning frameworks (PyTorch, TensorFlow, and Keras), OpenCV, YOLO, Huggingface Transformers, Scikit-learn, Xgboost, and lightGBM.
📌 Machine learning algorithms: deep learning (Transformer, CNN, and Seq-to-seq models), computer vision (YOLO, Mask-RCNN, UNet, EfficientNet, and Swin Transformer), natural language understanding (BERT, GPT3, and T5), generative models (VAE, GAN, flow-based models, and diffusion models), speech (Tacotron2 and Waveglow), and recommender (matrix factorization and bayesian personalized ranking).
📌 Data tools: PySpark, PostgreSQL, Kafka and Redis.
📌 Server tools: python-based Flask, C#-based .Net Core, and gRPC.
📌 CICD tools: Pytest, Docker and K8s.