Ph.D. in EECS
Sep 18
Research Intern
Uber ATG
Oct 17 - March 18
Research Intern
Virginia Tech
May 17 - Aug 17
Contract Developer
May 16 - Aug 16
B.Sc. in CS
Sep 12 - Jun 16
- I am currently serving mandatory military service in Taiwan and writing a book - the Military Grind to document it on the fly!
- I will join MIT EECS as a Ph.D. student in September 2018.

Bio. I was an intern at Uber Advanced Technologies Group, where I work on machine learning for autonomous driving perception and control, advised by Prof. Raquel Urtasun. Before that, I am lucky to have the opportunities to work with Prof. Min Sun at National Tsing Hua University, Dr. Ming-Yu Liu at NVIDIA, and Prof. Jia-Bin Huang at Virginia Tech. In addition to my research experiences, I build interesting open-source projects such as DeepLearningFlappyBird, which has been featured on Hacker News.

See my CV for more details.


(*indicates equal contribution)

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos
Yen-Chen Lin*, Hou-Ning Hu*, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun
CVPR 2017 (Oral)
[project] [arXiv]
Tactics for Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun
IJCAI 2017
[project] [arXiv]
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight
Yen-Chen Lin, Ming-Yu Liu, Min Sun, Jia-Bin Huang
NIPS 2017 workshop
[project] [arXiv]
Tell Me Where to Look: Investigating Ways for Assisting Focus in 360° Video
Yen-Chen Lin, Yung-Ju Chang, Hou-Ning Hu, Hsien-Tzu Cheng, Chi-Wen Huang, Min Sun
CHI 2017
[project] [pdf]
Semantic Highlight Retrieval
Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi, Min Sun
ICIP 2016

Side Projects

pix2pix-tensorflow is a tensorflow implementation of Image-to-Image Translation with Conditional Adversarial Networks from Isola et al.
DeepLearningFlappyBird uses Deep Reinforcement Learning to train an agent that beats human players on Flappy Bird.
awesome-adversarial-machine-learning is a curated list of awesome awesome adversarial machine learning resources.

Work Experiences

Google Summer of Code
In 2016, I participated Google Summer of Code program and worked with scikit-learn community. My mission is to make implementation of many algorithms, such as Stochastic Gradient Descent, Coordinate Descent, support Cython fused types and therefore reduce memory waste. Find my development logs here.
Real Forest
Real Forest is a feature I developed for well-known iOS app - Forest: Stay focused, be present when I was an intern there. This feature let user plant a real tree in the world using the coins they earned in the app. So far, it has helped planting 8000+ real trees in India and Zambia.