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Taipei, Taiwan
Avatar of Ripple Wu.
Avatar of Ripple Wu.
Past
Program Manager @Foxconn Technology Group
2014 ~ 2015
Product Manager
Más de un año
Ripple Wu Product Manager Taipei, Taiwan A Software Product Manager with 5 years' experience in I.T. software for 11 system embedded/selected software features, I possess domain knowledge in storage systems, cloud service, and A.I. applications in SCRUM methodology with both PMP and PSPO certifications. Finished the International MBA for tech product management, I am looking to further grow my career for the latest technological solutions and positive impact. Email: [email protected] Phone:Work Experience Product Manager • QNAP Systems, Inc. AprJul 2019 Responsibility
Data Analysis
Technology Management
Marketing Campaign
Desempleado
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
IE Business School
International MBA
Avatar of 陳奕妤.
Avatar of 陳奕妤.
Past
Senior Data Analyst @趨勢科技
2022 ~ Presente
Data Scientist, Data Analyst, Machine Learning Engineer
En un mes
Cathy Chen Sr. Data Analyst Senior data analyst with over 6 years experience in ETL, data visualization, exploratory data analysis, machine learning, deep learning, customized online dashboard using SQL , R , Python and data analytics tools. Data Scientist, Data Analyst Taipei, Taiwan [email protected] Experience Sr. Data Analyst • TrendMicro NovNow Work with cross-functional teams(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard. Cross app data tracking and user journey analysis. VisionOne customers engagement score - the metrics can help fields to
python
R
SQL
Desempleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
輔仁大學 Fu Jen Catholic University
統計資訊學系
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Avatar of the user.
Engineer @Trend Micro 趨勢科技
2021 ~ Presente
Software Engineer
En el plazo de dos meses
C/C++
SQL
Git
Empleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
National Chengchi University
Computer Science
Avatar of the user.
Avatar of the user.
Data Science @Alfred Labs.
2017 ~ Presente
En el plazo de dos meses
Python
R
SQL
De 4 a 6 años
University of Taipei
Computer Science

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Problem-Solving
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En un año
學生
Academic Sinica
2019 ~ Presente
Taipei City, Taiwan
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Data Scientist
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台灣台北
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台灣大學
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工程科學及海洋工程
Imprimir
Profile 03 00@2x

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 ScholarYamagishi 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

Resume
Perfil
Profile 03 00@2x

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 ScholarYamagishi 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