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- 浏览所有搜寻结果
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- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
职场能力评价定义
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
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