I'm mostly interested in learning efficient model and meta-learning. Not long ago, I worked on device-aware architecture search and predicting saliency map in 360° videos. Hobbies include photography and playing music!


National Tsing-Hua University, Hsinchu, Taiwan2013.9 - 2017.6
  • B.Sc. Computer Science

CV, Github, etc


Visiting Student, Virginia Tech - advised by Prof. Jia-Bin Huang 2018.12 - Present
  • Learning to Learn without Forgetting
Intern, DeePhi Tech (Xilinx)- advised by Prof. Song Han Summer 2018
  • Multi-task Neural Architecture Search
Research Assistant, VSLab, NTHU - advised by Prof. Min Sun 2017.6 - 2018.6
  • Device-aware Neural Architecture Search
  • Predicting Saliency Map in 360° Videos
  • Image Enhancement with Adversarial Training
Intern, Academia Sinica - advised by Dr. Tyng-Luh Liu Summer 2017
  • In-depth Evaluation of Structural RNN



  • Searching Toward Pareto-Optimal Device-Aware Neural Architectures
    • An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
    • ICCAD 2018, Arxiv
  • DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures
  • Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos
    • Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun
    • CVPR 2018, Arxiv

Selected Projects

  • Awesome Architecture Search (check it out)
    • A curated list of awesome architecture search resources
  • Meta Learning LSTM (check it out)
    • Pytorch implementation of Optimization as a Model for Few-shot Learning
  • 2017 VQA Challenge Winner (check it out)
    • Pytorch implementation of 2017 VQA Chllange winner


Some of my favorite shots