Yen-Cheng Chang (Timothy)
Ph.D. student,
Signal Processing & Machine Learning,
Electrical and Computer Engineering,
University of Michigan-Ann Arbor
I am currently a PhD student in the Department of Electrical and Computer Engineering at the University of Michigan, working with Pei Zhang. Previously, I was a machine learning researcher at E.SUN Financial Holding, where I conducted research with Professor Yi-Ren Yeh and Professor Jyh-Shing Roger Jang. I received my M.S. degree in Electrical Engineering and Computer Sciences at National Taiwan University (NTU) under the guidance of Professor Tian-Li Yu. Prior to NTU, I received B.S. in Computer Science and Information Engineering from National Taipei University (NTPU).
My primary research focuses on multimodal learning, signal processing, vision & language models. For further studies, I am excited about explicitly modeling structure in data for system analysis. At the same time, I am also interested in topics related to potential applications in machine learning systems.
I have been working on image & signal processing and machine learning since 2019 and have held related positions. I received the Best Paper Award: Runner-up at Buildsys 2024 as a co-author and published three international conference papers: ICIP 2022 (as the first author), INTERSPEECH 2022, and ICPR workshop 2022 . In addition, I got the NTU EE Best Thesis Award 2020.
My primary research focuses on multimodal learning, signal processing, vision & language models. For further studies, I am excited about explicitly modeling structure in data for system analysis. At the same time, I am also interested in topics related to potential applications in machine learning systems.
I have been working on image & signal processing and machine learning since 2019 and have held related positions. I received the Best Paper Award: Runner-up at Buildsys 2024 as a co-author and published three international conference papers: ICIP 2022 (as the first author), INTERSPEECH 2022, and ICPR workshop 2022 . In addition, I got the NTU EE Best Thesis Award 2020.
Publications
• FloHR: Ubiquitous Heart Rate Measurement using Indirect Floor Vibration Sensing. Codling, Jesse R., Shulkin, Jeffrey D. and Chang, Yen-Cheng, and Zhang, Jiale and Latapie, Hugo and Noh, Hae Young and Zhang, Pei and Dong, Yiwen. Buildsys, 2024. [pdf]• Context-aware crowd monitoring for sports games using crowd-induced floor vibrations. Yiwen Dong, Yuyan Wu, Yen-Cheng Chang, Jatin Aggarwal, Jesse R Codling, Hugo Latapie, Pei Zhang, Hae Young Noh, Data-Centric Engineering (DCE), 2024. [pdf]
• SMILE: Sequence-to-Sequence Domain Adaption with Minimizing Latent Entropy for Text Image Recognition. Yen-Cheng Chang, Yi-Chang Chen, Yu-Chuan Chang, and Yi-Ren Yeh, ICIP, 2022. [pdf]
• g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin. Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang, and Yi-Ren Yeh, INTERSPEECH, 2022. [pdf]
• Traditional Chinese Text Recognition Dataset: Synthetic Dataset and Labeled Data. Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang, and Yi-Ren Yeh, ICPR Workshop, 2022. [pdf]
• Verifiability Enhanced Active Learning Using Multi-armed Bandit. Yen-Cheng Chang and Tian-Li Yu, Master's Thesis, Computer Science Group, Department of Electrical Engineering, National Taiwan University. [pdf]
Works & Honors
• Best Paper Award: Runner-up: Buildsys 2024, as a co-author.• T-Brain AI Competition: AICUP2021 Traditional Chinese scene text recognition, 2nd Place, 2021
• Best Master’s Thesis award, National Taiwan University, Department of EECS, 2020
• Developer in Cinnamon.ai AI Document Reader, Cinnamon AI, 2019
• Zhen Lin Science Education Center Advanced High School Mathematics Class, Teaching Assistant, 2019