Jin-Dong Dong

董晉東 (Mark)

Computer Vision, Machine Learning

Applying for CS graduate degree!

Taipei, Taiwan

Know more

Experience

I'm currently a visiting student at Virginia Tech, advised by Prof. Jia-Bin Huang.

Visiting Student, Virginia Tech - advised by Prof. Jia-Bin HuangDec. 2018 - Present
  • Learning to Become Skilled at Tasks
Intern, Algorithm Team, DeePhi Tech (Xilinx) - advised by Prof. Song HanSummer 2018
  • Multi-task Neural Architecture Search
Research Assistant, Vision Sience Lab, NTHU - advised by Prof. Min SunJun. 2017 - Jun. 2018
  • Device-aware Neural Architecture Search
  • Predicting Saliency Map in 360° Videos
  • Image Enhancement with Adversarial Training
Intern, Multimedia Lab, Academia Sinica - advised by Dr. Tyng-Luh LiuSummer 2017
  • In-depth Evaluation of Structural RNN

Works

Publications and selected open-source projects.

Publications

  • 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 (link), Arxiv (link)
  • DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures
    • Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
    • ECCV 2018 (link), ICLR 2018 Workshop (link), Arxiv (link)
  • 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 (link), Arxiv (link)

Select Projects

  • Awesome Architecture Search (check it out)
    • A curated list of awesome architecture search resources
  • 2017 VQA Challenge Winner (check it out)
    • Pytorch Implementation of winner from VQA Chllange Workshop in CVPR'17
  • Matching Networks (check it out)
    • Tensorflow implementation of Matching Networks for One Shot Learning in NIPS'16

About Me

Various ways to find me.


National Tsing-Hua University, Hsinchu, TaiwanSep. 2013 to Jun. 2017
  • B.Sc. Computer Science