Hello. I am Ting-Hsuan Chao (Joel).
I have more than three years of experience working in deep learning.
Skilled in computer vision, reinforcement learning and representation learning.
Currently work as a machine learning scientist in Appier,
developing deep learning solution for practical business problems.
I am looking for deep learning related project or job opportunity in US/Taiwan

GitHub Blog CV

Skill Programming Language: Python, C++, JAVA, MATLAB, javascript Framework: Keras, TensorFlow, Caffe, Torch7, Android, node.js Other: Installation Art

Research Scalable Object Detection, Large Scale Image Classification Convolutional Neural Network Compression and Speedup, Siamese Network AD Bidding by Reinforment Learning (DQN, DDPG) User Purchase Intention Preditction by RNN User Topic Analysis by DeepWalk

Interest Novels, coffee, brunch, sweet snack, any kind of feast, jigsaw, movie and swimming

Appier Inc. Machine Leanrning Scientist (2016-now) Deep Learning topic module for user analysis Reinforcement Learning for AD bidding Cross Screen AI technique by Generative Adversial Network Hewlett-Packard, Inc. Software Engineer Intern (2012-2013) Wireless diagnose tool development Softpaq checking tool development

National Taiwan University Research Assistant (2015-2016) Communications & Multimedia Lab MiRA Group Teaching Assistant (2013-2014) Department of CSIE - Seminar M.S. in Computer Science & Information Engineering (2013-2015) Communications & Multimedia Lab MiRA Group Advisor: Winston H. Hsu B.S. in Electrical Engineering (2009-2013)

Ting-Hsuan Chao, Yen-Liang Lin, Yin-Hsi Kuo and Winston H. Hsu "Scalable Object Detection by Filter Compression with Regularized Sparse Coding," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015. (Full paper) PDF

Yu-Hsiu Chen, Ting-Hsuan Chao, Yen-Liang Lin and Winston H. Hsu "Filter-Invariant Image Classification on Social Media Photos," ACM Multimedia, 2015. (Short paper) PDF

Wei-Tse Sun, Ting-Hsuan Chao, Yin-Hsi Kuo and Winston H. Hsu "Photo Filter Recommendation by Category-Aware Aesthetic Learning," IEEE Transactions on Multimedia, 2017. (Journal paper) PDF

Wen-Yu Lee, Yin-Hsi Kuo, Peng-Ju Hsieh, Wen-Feng Cheng, Ting-Hsuan Chao, Hui-Lan Hsieh, Chieh-En Tsai, Hsiao-Ching Chang, Jia-Shin Lan, Winston Hsu, "Unsupervised Latent Sub-events Discovery based on Multi-content and Human Activities Analysis for Diverse Event Summarization," ACM Multimedia, 2015. (Grand Challenge) PDF

Chun-yen Yeh, Yu-Chuan Su, Hsin-Fu Huang, Ting-Hsuan Chao, Sebastian Agethen, Winston H. Hsu, "Low-Bitrate and Online Mobile Video Classification," ICCE, 2016. (Short paper)