Research Intern
Google Brain
Jun 19 - Aug 19
Ph.D. in EECS
MIT
Sep 18
Research Intern
Uber ATG
Oct 17 - March 18
Contract Developer
Google
May 16 - Aug 16
B.Sc. in CS
NTHU
Sep 12 - Jun 16
Bio. I am a Ph.D. student at MIT CSAIL, under the supervision of Phillip Isola. I am interested in robotics.

Previously, I was lucky to have the opportunities to work with Raquel Urtasun at Uber ATG, Min Sun at National Tsing Hua University, Ming-Yu Liu at NVIDIA, and 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 (updated Sep 2019) for more details.
Selected Publications

(*indicates equal contribution)

Experience-embedded Visual Foresight
Yen-Chen Lin, Maria Bauza, Phillip Isola
CoRL 2019
[project] [pdf]
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGBD images
Maria Bauza, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie P. Kaelbling,
Phillip Isola, Alberto Rodriguez
IROS 2019
[project] [pdf]
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]

Side Projects

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