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De 4 a 6 años
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工程師
高級工程師 @仁寶電腦工業股份有限公司2018 ~ Presente
・
工程師
En un plazo de tres meses
訊軟體研發工程師, 主要職責為5G基站軟體研發、測試與debug, 使用語言c/c++、linux script、jenkins、golang、python * 研究RU-DU-CU protocol - UE attach process, RLC AMM, MCS algorithm, ... * Linux fuse-based system開發, 以利runtime時的存取資料內容以幫助釐清程式邏輯並協助自動化測試 * Linux scripts程式開發toolkits以觀察/設
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A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
中原大學 Chung Yuan Christian University
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資訊工程
馬達設計工程師 @鑫元鴻實業股份有限公司2022 ~ Presente
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工程師
En un mes
也有接觸自行車馬達應用領域，優化設計外轉子輪鼓馬達並參與測試及電輔車調整。 於碩士班學習Python應用於AI上，以及各演算法於最佳化上使用相關技能，並分享Ansys maxwell軟體使用經驗給同學。 大學所學為RF相關知識，以及C、組合語言等，也接觸了
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逢甲大學(Feng Chia University)
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資訊電機工程碩士學位學程
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中央大學
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Posición
工程師
Tipo de trabajo
Intern
Ubicación
台灣台北
A distancia
Freelance
No.
Educación
Escuela
台灣大學
Mayor
工程科學及海洋工程
Dennis Lee
李吉昌 Chi-Chang Lee
r08922a27@csie.ntu.edu.tw
https://github.com/ChangLee0903
0972128853
Education
M.Sc. Artificial Intelligence Program in Department of Computer Science and Information Engineering, National Taiwan University
Jan. 2019 - present
B.Sc. Engineering Science and Ocean Engineering, National Taiwan University
Sep. 2015 - Jun. 2019
Work Experience
Visiting Scholar, Yamagishi Laboratory, National Institute of Informatics, Japan
November. 2022 - present, advised by Junichi Yamagishi
Research Assistant, Biomedical Acoustic Signal Processing Lab, Academia Sinica CITI
Mar. 2019 - present, advised by Yu Tsao
Research Assistant, GICE Digital Image and Signal Processing Lab, NTU
Aug. 2018 - Aug. 2019, advised by Jian-Jiun Ding
Teaching Assistant, EE5184: Machine Learning
Sep. 2021 - Jan. 2022, instructed by Pei-Yuan Wu
Teaching Assistant, CommE5030: Time Frequency Analysis and Wavelet Transforms
Sep. 2018 - Jan. 2019, instructed by Jian-Jiun Ding
Undergraduate Project Experience
Cryptography and Network Security - Hash function Analysis with Neural Network
Computer Vision - Face Recognition in low resolution condition
Algorithms - 2019 IC/CAD Contest Problem E Second Place
Publication
D4AM: A General Denoising Framework for Downstream Acoustic Models
Chi-Chang Lee, Yu Tsao, Hsin-Min Wang, and Chu-Song Chen, Accepted on ICLR 2023
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2022
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning
Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2020
Cross-Technology Interference Mitigation Using Fully Convolutional Denoising Autoencoders
Chi-Lun Lin, Kate Ching-Ju Lin, Chi-Chang Lee, and Yu Tsao, Accepted on GLOBECOM 2020
Automatic Chinese Handwriting Verification Algorithm Using Deep Neural Networks
Chi-Chang Lee, Jian-Jiun Ding, Accepted on ISPACS 2019
Dennis Lee
李吉昌 Chi-Chang Lee
r08922a27@csie.ntu.edu.tw
https://github.com/ChangLee0903
0972128853
Education
M.Sc. Artificial Intelligence Program in Department of Computer Science and Information Engineering, National Taiwan University
Jan. 2019 - present
B.Sc. Engineering Science and Ocean Engineering, National Taiwan University
Sep. 2015 - Jun. 2019
Work Experience
Visiting Scholar, Yamagishi Laboratory, National Institute of Informatics, Japan
November. 2022 - present, advised by Junichi Yamagishi
Research Assistant, Biomedical Acoustic Signal Processing Lab, Academia Sinica CITI
Mar. 2019 - present, advised by Yu Tsao
Research Assistant, GICE Digital Image and Signal Processing Lab, NTU
Aug. 2018 - Aug. 2019, advised by Jian-Jiun Ding
Teaching Assistant, EE5184: Machine Learning
Sep. 2021 - Jan. 2022, instructed by Pei-Yuan Wu
Teaching Assistant, CommE5030: Time Frequency Analysis and Wavelet Transforms
Sep. 2018 - Jan. 2019, instructed by Jian-Jiun Ding
Undergraduate Project Experience
Cryptography and Network Security - Hash function Analysis with Neural Network
Computer Vision - Face Recognition in low resolution condition
Algorithms - 2019 IC/CAD Contest Problem E Second Place
Publication
D4AM: A General Denoising Framework for Downstream Acoustic Models
Chi-Chang Lee, Yu Tsao, Hsin-Min Wang, and Chu-Song Chen, Accepted on ICLR 2023
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2022
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning
Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2020
Cross-Technology Interference Mitigation Using Fully Convolutional Denoising Autoencoders
Chi-Lun Lin, Kate Ching-Ju Lin, Chi-Chang Lee, and Yu Tsao, Accepted on GLOBECOM 2020
Automatic Chinese Handwriting Verification Algorithm Using Deep Neural Networks
Chi-Chang Lee, Jian-Jiun Ding, Accepted on ISPACS 2019