National Taiwan University (NTU),                               Taipei, Taiwan, Sep 2011 - Jun 2015
Bachelor of science in Electrical Engineering

Research Assistant,                                                                                  Sep 2014 - present
Communication and Multimedia Lab (CMLab), NTU

• Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details from low resolution image with hints in crawled web images.
  
• Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet.
  
• Proposed a multimodal CNN achieving high fine-grained classification accuracy. The model was trained with both web images and its tags, and could predict solely with image in future testing phase.

Under Graduate Research Assistant,                                                   Sep 2013 - Aug 2014
Speech Processing Laboratory, NTU 

• Researched in Deep Neural Network and Probabilistic Graphical Model, including Recurrent Neural Network and Regularized Mixture Model
  
• Surveyed various word embedding method, including Recurrent Neural Network (RNN), word2vec, paragraph vector.

Intern,                                                                                                          Jul 2014 - Dec 2014
Phalanx Biotech

• Develop machine learning solutions for cancer gene detection and TSMC semiconductor quality prediction.
  

Intern,                                                                                                          Jul 2013 - Aug 2013
Solid State System

• Assisted in CMOS MEMs microphone product development including proto-type simulation, fabrication/packaging process, defect analysis and market survey.