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Taipei, Taiwan
Avatar of 廖昱程.
Avatar of 廖昱程.
Customer Engineer @iKala 愛卡拉互動媒體股份有限公司
2022 ~ Present
Within two months
data analysis. 中原大學, 理學士(BS), 心理學, 2006 ~ 2008 Technical Skills •Statistical Modeling, Machine Learning(focus on NLP model), EDA and ETL, Feature Engineering. •Python, ELK Stack(Elasticsearch, Logstash, Kibana), Power BI. •Physiological Signal Analysis - GSR, EEG & ERPs, MRI, Heart-rate, Matlab, SPSS. Experience: Deep Learning, JavaScript, HTML, R, Docker, Google Cloud Platform, Azure, AWS. Side Project Data-Driven Urban Flood Warning System, DSP,•Honor: The project was accepted to D4GX 2019 Program Committee as a poster. •Implemented a predict model to predict the risk of urban area
nlp machine learning
+python
AI & Machine Learning
Employed
Full-time
4-6 years
國立中央大學
認知與神經科學所

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Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Within one year
Deep Learning and Media System Lab, NCU
2018 ~ 2018
Taiwan
Professional Background
Current status
Studying
Job Search Progress
Professions
Data Scientist
Fields of Employment
Work experience
Less than 1 year
Management
None
Skills
Python
Matlab
C++
Verilog
Languages
English
Fluent
Job search preferences
Positions
SW/FW Intern
Job types
Full-time
Locations
台灣台北, 台灣新竹市新竹
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
National Taiwan University
Major
Electronic Design Automation
Print
Kcauvs1oml3zztykrr4u

蔡承哲 (Cheng-Che, Tsai)

E-mail: [email protected]


學歷

碩士 國立臺灣大學 電子工程學研究所 電子設計自動化組 2019/9 ~ 現今 GPA 4.13 / 4.30

指導教授: 郭斯彥教授

學士 國立中央大學 電機工程學系                                          2015 ~ 2019   GPA 3.64 / 4.00

碩士論文

基於輪廓波的泛用除雨條紋深度神經網路

有雨場景拍到的圖片含有不同方向的雨以及原本場景的邊緣,現有方法無法很好的分離雨和背景,經實驗發現,透過輪廓波可以捕捉到不同方向、尺寸特徵的性質以及雨條紋,將除雨的問題變成還原輪廓波轉換得到的係數,並透過具有不同尺度感受野的卷積神經網路 (CNN) 得到極佳的還原結果;損失函數的設計上,根據輪廓波多階層的特性提出了多階層判別器 (Multi-level discriminator),使還原的結果更逼真,實驗結果顯示,提出的方法不論在合成或現實的資料集皆得到最好的還原結果。
準備投稿至 IEEE Transactions on Image Processing

論文發表

ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation

Cheng-Che Tsai, Wei-Ting Chen, Hao-Yu Feng, I-Hsiang Chen, Jian-Jiun Ding, and Sy-Yen Kuo

British Machine Vision Conference (BMVC), 2021.

ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss

Wei-Ting Chen, Hao-Yu Feng, Cheng-Che Tsai, Cheng-Lin Hsieh, I-Hsiang Chen, Jian-Jiun Ding, and Sy-Yen Kuo

IEEE International Conference on Computer Vision (ICCV), 2021.

All Characteristics Preservation: Single Image Dehazing based on Hierarchical Detail Reconstruction Wavelet Decomposition Network

Wei-Ting Chen, Hao-Yu Feng, Cheng-Che Tsai, Jian-Jiun Ding, and Sy-Yen Kuo

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep., 2021.

JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal

Wei-Ting Chen, Hao-Yu Feng, Jian-Jiun Ding, Cheng-Che Tsai, and Sy-Yen Kuo

European Conference on Computer Vision (ECCV), Aug., 2020.

修課紀錄
  • 電腦視覺

  • 演算法

  • 時頻分析和小波轉換

程式語言

Python, Matlab, C++

機器學習框架

Pytorch, Keras





Resume
Profile
Kcauvs1oml3zztykrr4u

蔡承哲 (Cheng-Che, Tsai)

E-mail: [email protected]


學歷

碩士 國立臺灣大學 電子工程學研究所 電子設計自動化組 2019/9 ~ 現今 GPA 4.13 / 4.30

指導教授: 郭斯彥教授

學士 國立中央大學 電機工程學系                                          2015 ~ 2019   GPA 3.64 / 4.00

碩士論文

基於輪廓波的泛用除雨條紋深度神經網路

有雨場景拍到的圖片含有不同方向的雨以及原本場景的邊緣,現有方法無法很好的分離雨和背景,經實驗發現,透過輪廓波可以捕捉到不同方向、尺寸特徵的性質以及雨條紋,將除雨的問題變成還原輪廓波轉換得到的係數,並透過具有不同尺度感受野的卷積神經網路 (CNN) 得到極佳的還原結果;損失函數的設計上,根據輪廓波多階層的特性提出了多階層判別器 (Multi-level discriminator),使還原的結果更逼真,實驗結果顯示,提出的方法不論在合成或現實的資料集皆得到最好的還原結果。
準備投稿至 IEEE Transactions on Image Processing

論文發表

ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation

Cheng-Che Tsai, Wei-Ting Chen, Hao-Yu Feng, I-Hsiang Chen, Jian-Jiun Ding, and Sy-Yen Kuo

British Machine Vision Conference (BMVC), 2021.

ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss

Wei-Ting Chen, Hao-Yu Feng, Cheng-Che Tsai, Cheng-Lin Hsieh, I-Hsiang Chen, Jian-Jiun Ding, and Sy-Yen Kuo

IEEE International Conference on Computer Vision (ICCV), 2021.

All Characteristics Preservation: Single Image Dehazing based on Hierarchical Detail Reconstruction Wavelet Decomposition Network

Wei-Ting Chen, Hao-Yu Feng, Cheng-Che Tsai, Jian-Jiun Ding, and Sy-Yen Kuo

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep., 2021.

JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal

Wei-Ting Chen, Hao-Yu Feng, Jian-Jiun Ding, Cheng-Che Tsai, and Sy-Yen Kuo

European Conference on Computer Vision (ECCV), Aug., 2020.

修課紀錄
  • 電腦視覺

  • 演算法

  • 時頻分析和小波轉換

程式語言

Python, Matlab, C++

機器學習框架

Pytorch, Keras