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資深工程師 @廣達電腦股份有限公司
2019 ~ Present
資料分析師 軟體設計工程師 演算法開發工程師 深度學習研發工程師 AI工程師
Within one month
ROS(Robot Operation System)
Sensor Fusion Algorithms
C/C++
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立虎尾科技大學
電機工程
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機器學習工程師 @日新軟體股份有限公司
2021 ~ Present
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within six months
scores. Semantic segmentation model training for identifying ventricular contractions and providing visualization. Fall Detection Implemented real-time fall detection for multiple persons by using LSTM neural network combined with features obtained via human pose estimation. Experiments design and collect training data. 【Self-Driving Car】 Perception Developed sensor fusion algorithms that combine data from multiple sensors (L iDAR , radar, camera, etc.) to generate a more accurate and reliable understanding of the environment. Software Integration System integration and real car tests at Taiwan CAR Lab and Taipei University. Education National Taipei University of Technology Institute
AI & Machine Learning
Image Processing
python
Employed
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
機電整合所
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資深軟體工程師 @希恩體感科技股份有限公司 CyweeMotion Inc.
2021 ~ Present
Software Engineer / Algorithm Engineer / Firmware Engineer
Within one month
C
Matlab
Python
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
中原大學 Chung Yuan Christian University
電機工程
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Technical Manager @Ambarella Inc.
2014 ~ Present
Within one month
Europe (German, Italian) tier-1 clients and to support customers' requirements project management, mentoring and assigning tasks to engineers, leading firmware engineers to deliver projects on time Staff Engineer ADAS/Vision/Radar (1) Surround reconstruction algorithm designD/3D/Object Detection, Object Mask neural network post processing algorithm design. (3) Integrate Radar/vision fusion, multi-sensor fusion (4) ADAS demo cars built for customers, including debugging, testing and data analysis (5) Feature matching algorithm design (6) Radar and camera calibration algorithm design (7) Algorithm optimization (OpenGL/OpenCL, vector processor/accelerator) ISP/IQ
Employed
Full-time
10-15 years
元智大學 Yuan Ze University
computer science
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演算法工程師 @iSentek Technology Inc.
2021 ~ Present
英語翻譯人員
More than one year
TOEIC
Employed
Part-time / Interested in working remotely
6-10 years
國立台北科技大學
Automation Control
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Offline
Senior Machine Learning Engineer @C-Media Electronics
2020 ~ 2021
Machine Learning Scientist, Data Scientist
Within one month
the Best Challenge Poster in PhysioNet/CinC ChallengeSepMay.2022 The Effects of Task and Social Reflexivity on Group Performance - Study on Acoustic/Linguistic and Physiological signals fusion algorithms for group dynamics modeling. - Design a Multi-modality Multi-subjects group interaction dataset. Enterprise Corporation JanDec 2021 Senior Machine Learning Engineer | C-Media Electronics - Develop real-time deep CRNN AI de-reverberation engine with SRMRLead development of speech cloning from unseen sources using Generative Adversarial Networks. MarNov 2020 Senior Machine Learning Engineer | Institute for Information Industry (III) - Lead the development of deep video retrieval system speeding
Python
pytorch
tensorflow
In military service
Full-time / Interested in working remotely
4-6 years
清華大學
電機工程
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Avatar of 陳文玲.
Heron Neutron Medical Corp @Senior Engineer
2021 ~ Present
Within one month
medical device for FDA Others: - plan and report for component verification report - risk management and evaluation - schedule control and execute for project Senior Engineering • AU Optronics Corporation (AUO) 四月三月 2017 Develop algorithm of Depth map estimation - [Spatial domain] Stereo-matching algorithm algorithm develop by Matlab and C algorithm improve refinement method - [Temporal] Monocular depth estimation algorithm improve of fusion initial depth from optical flow and mean shift segmentation Develop Touch Pad Algorithm - Edge detection, contour trace, find fingertip, calc. mass point, CCL, ellipse detection, … Improve of 3D algorithm - 3D panel arrangement algorithm - 3D Panel calibration tool
Image Processing
Medical Image Processing
Computer Vision
Full-time / Interested in working remotely
10-15 years
I-Shou University
Computer Science

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Within one month
Ph.D
C-Media Electronics
2020 ~ 2021
Hsinchu City, 台灣
Professional Background
Current status
In military service
Job Search Progress
Professions
Machine Learning Engineer, Researcher, Research / R&D
Fields of Employment
Artificial Intelligence / Machine Learning, Software, Internet of Things (IoT)
Work experience
1-2 years work experience (4-6 years relevant)
Management
I've had experience in managing 1-5 people
Skills
Python
pytorch
tensorflow
git
Docker
Linux
matlab
AWS
GCP
mlflow
w&b
sklearn
numpy
pandas
keras
Matplotlib
Languages
English
Professional
Chinese
Native or Bilingual
Job search preferences
Positions
Machine Learning Scientist, Data Scientist
Job types
Full-time
Locations
Taiwan, United States, United Kingdom, Ireland, Germany, Switzerland, Czech Republic, Australia, Canada
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
清華大學
Major
電機工程
Print

Hao-Chun (Chad) Yang

Ph.D

Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow

  Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road, 30013 Hsinchu City, Taiwan

       

Skills

Programming


  • Programming: Python, Matlab
  • DevOps: AWS, GCP, Git, Docker
  • Deep Learning: Pytorch, Tensorflow, Keras
  • ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib
  • MLOps: MLflow, W&B

Special Honors


  • 2021 - Best Challenge Poster - Physionet/CINC Challenge
  • 2019 - Travel Grants - IEEE SPS Society
  • 2017 - President Scholarship - NTHU

Education


  • National Tsing Hua University
    Ph.D. in Electrical Engineering
    (Sep. 2016 - Present)
  • National Tsing Hua University
    B.S. in Electrical Engineering
    (Sep. 2012 - July 2016)

Research Projects

Sep.2018 - May.2022

Affective Physiological Responses under Multimedia Stimuli

- Improve physiological emotion recognition by 3.5% UAR using Transformer-based User-Centered modeling.
- Improve physiological personality recognition by 8% UAR through Auditorial-Visual guided Graphical Attention Networks.

Sep.2016 - May.2022

Study of The Alzheimer using Brain Imaging

- Propose a Privacy-aware learning strategy FedCM improving heterogeneity Federated Learning on Medical Images.
- Brought neuroscientific insights into the brain’s functional connectivity and the mechanism of face processing and memory.

Jan.2021 - Dec.2021

Cardiovascular Disease Detection

- Propose a Mixed-Domain Self-Attention Resnet (MDARsn) using Reduced-Lead ECG for Heart Disease Detection.
- Winner of the Best Challenge Poster in PhysioNet/CinC Challenge 2021.

Sep.2018 - May.2022

The Effects of Task and Social Reflexivity on Group Performance

- Study on Acoustic/Linguistic and Physiological signals fusion algorithms for group dynamics modeling.
- Design a Multi-modality Multi-subjects group interaction dataset.

Enterprise Corporation

Jan 2020 - Dec 2021

Senior Machine Learning Engineer  | C-Media Electronics

- Develop real-time deep CRNN AI de-reverberation engine with SRMR 4.774.
- Lead development of speech cloning from unseen sources using Generative Adversarial Networks.

Mar 2020 - Nov 2020

Senior Machine Learning Engineer  | Institute for Information Industry (III)

- Lead the development of deep video retrieval system speeding up the fake news screening using Pytorch and Ranking algorithm.
- Build the system with Flask and Docker with Retrieval Precision 95.1%.
- The system would be deployed by two NGO fake news checkersTaiwan FactCheck Center and MyGoPen.

Jan 2018 - Jan 2019

Machine Learning Engineer  | beBit, Inc.

- Shopping conversion prediction based on user website traversal graph.
- Customer pattern recognition for automatically clustering user groups for precise marketing.

Sep 2016 - Sep 2018

Machine Learning Engineer  | Gamania Digital Entertainment Co., Ltd.

- Develop deep Speech/Face/Gesture Multi-modal behavior profiling system for AI hiring recommendation.
- Construct a Multi-person Multi-modal real-time data collection system.

Selected Publications (Google Scholar Profile)

JOURNAL

1. Hao-Chun Yang and Chi-Chun Lee, “A Media-Guided Attentive Graphical Network for Personality Recognition Using Physiology” IEEE Transactions on Affective Computing (IF 10.5)

PEER-REVIEWED CONFERENCE/WORKSHOP PAPER

1. Ya-Lin Huang, Hao-Chun Yang, and Chi-Chun Lee, “Federated Learning via Conditioned Mutual Learning for Alzheimer Disease Classification on T1w MRI” 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, (Virtual), Nov 1-5, 2021

2. Hao-Chun Yang, Wan-Ting Hsieh, and Pei-Chun Chen, “A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram” Computing in Cardiology, CinC 2020, Brno, Czech Republic, September 12-15

3. Woan-Shiuan Chien, Hao-Chun Yang, and Chi-Chun Lee, “Cross Corpus Physiological-based Emotion Recognition Using a Learnable Visual Semantic Graph Convolutional Network” MM ’20: The 28th ACM International Conference on Multimedia, ACMMM 2020, Virtual Event / Seattle, WA, USA, October 12-16, 2020

4. Hao-Chun Yang and Chi-Chun Lee, “A Siamese Content-Attentive Graph Convolutional Network for Personality Recognition Using Physiology” 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020

Resume
Profile

Hao-Chun (Chad) Yang

Ph.D

Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow

  Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road, 30013 Hsinchu City, Taiwan

       

Skills

Programming


  • Programming: Python, Matlab
  • DevOps: AWS, GCP, Git, Docker
  • Deep Learning: Pytorch, Tensorflow, Keras
  • ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib
  • MLOps: MLflow, W&B

Special Honors


  • 2021 - Best Challenge Poster - Physionet/CINC Challenge
  • 2019 - Travel Grants - IEEE SPS Society
  • 2017 - President Scholarship - NTHU

Education


  • National Tsing Hua University
    Ph.D. in Electrical Engineering
    (Sep. 2016 - Present)
  • National Tsing Hua University
    B.S. in Electrical Engineering
    (Sep. 2012 - July 2016)

Research Projects

Sep.2018 - May.2022

Affective Physiological Responses under Multimedia Stimuli

- Improve physiological emotion recognition by 3.5% UAR using Transformer-based User-Centered modeling.
- Improve physiological personality recognition by 8% UAR through Auditorial-Visual guided Graphical Attention Networks.

Sep.2016 - May.2022

Study of The Alzheimer using Brain Imaging

- Propose a Privacy-aware learning strategy FedCM improving heterogeneity Federated Learning on Medical Images.
- Brought neuroscientific insights into the brain’s functional connectivity and the mechanism of face processing and memory.

Jan.2021 - Dec.2021

Cardiovascular Disease Detection

- Propose a Mixed-Domain Self-Attention Resnet (MDARsn) using Reduced-Lead ECG for Heart Disease Detection.
- Winner of the Best Challenge Poster in PhysioNet/CinC Challenge 2021.

Sep.2018 - May.2022

The Effects of Task and Social Reflexivity on Group Performance

- Study on Acoustic/Linguistic and Physiological signals fusion algorithms for group dynamics modeling.
- Design a Multi-modality Multi-subjects group interaction dataset.

Enterprise Corporation

Jan 2020 - Dec 2021

Senior Machine Learning Engineer  | C-Media Electronics

- Develop real-time deep CRNN AI de-reverberation engine with SRMR 4.774.
- Lead development of speech cloning from unseen sources using Generative Adversarial Networks.

Mar 2020 - Nov 2020

Senior Machine Learning Engineer  | Institute for Information Industry (III)

- Lead the development of deep video retrieval system speeding up the fake news screening using Pytorch and Ranking algorithm.
- Build the system with Flask and Docker with Retrieval Precision 95.1%.
- The system would be deployed by two NGO fake news checkersTaiwan FactCheck Center and MyGoPen.

Jan 2018 - Jan 2019

Machine Learning Engineer  | beBit, Inc.

- Shopping conversion prediction based on user website traversal graph.
- Customer pattern recognition for automatically clustering user groups for precise marketing.

Sep 2016 - Sep 2018

Machine Learning Engineer  | Gamania Digital Entertainment Co., Ltd.

- Develop deep Speech/Face/Gesture Multi-modal behavior profiling system for AI hiring recommendation.
- Construct a Multi-person Multi-modal real-time data collection system.

Selected Publications (Google Scholar Profile)

JOURNAL

1. Hao-Chun Yang and Chi-Chun Lee, “A Media-Guided Attentive Graphical Network for Personality Recognition Using Physiology” IEEE Transactions on Affective Computing (IF 10.5)

PEER-REVIEWED CONFERENCE/WORKSHOP PAPER

1. Ya-Lin Huang, Hao-Chun Yang, and Chi-Chun Lee, “Federated Learning via Conditioned Mutual Learning for Alzheimer Disease Classification on T1w MRI” 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, (Virtual), Nov 1-5, 2021

2. Hao-Chun Yang, Wan-Ting Hsieh, and Pei-Chun Chen, “A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram” Computing in Cardiology, CinC 2020, Brno, Czech Republic, September 12-15

3. Woan-Shiuan Chien, Hao-Chun Yang, and Chi-Chun Lee, “Cross Corpus Physiological-based Emotion Recognition Using a Learnable Visual Semantic Graph Convolutional Network” MM ’20: The 28th ACM International Conference on Multimedia, ACMMM 2020, Virtual Event / Seattle, WA, USA, October 12-16, 2020

4. Hao-Chun Yang and Chi-Chun Lee, “A Siamese Content-Attentive Graph Convolutional Network for Personality Recognition Using Physiology” 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020