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-Hong, Liao (Andrew) Æ (1) 647 877 6731 • Q [email protected] Œ https://andrewliao11.github.io

Research Interests Main topics: Computer Vision, Nautral Language Processing, and Reinforcement Learning. In particular, I am interested in how to learn physics-based generative models and how to represent the behaviors in formal languages (programs).

Education University of Toronto and Vector Institute ON, CAN + Research Intern Jun. 2018–Present Advised by Prof. Sanja Fidler. Keywords: Program generation. University at Southern California CA, USA + Visiting Student of Computer Science Department Nov. 2017–Jan. 2018 Advised by Prof. Joseph Lim. Keywords: novel view image synthesis, modular reinforcement learning. National Tsing Hua University Hsinchu, Taiwan + B.S. Degree of Electrical Engineering Sep. 2013–Jun. 2017 Advised by Prof. Min . Total GPA: 3.99/4.3, rank: 14/102 Keywords: cross-domain image captioning, video question answering, adversarial attack, zero-shot RL. Publication

Synthesizing Environment-Aware Activities via Activity Sketches, In Submission + Yuan-Hong Liao*, Xavier Puig*, Marko Boben, Antonio Torralba, Sanja Fidler Multi-view to Novel view: Synthesizing Novel Views with Self-Learned Confidence , ECCV18, [page] + -Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning , Joseph J. Lim Show, Adapt, and Tell of Cross-Domain Image Captioner, ICCV17, [link] + Tseng-Hung , Yuan-Hong Liao, Ching- Chuang, -Ting Hsu, Jianlong , Min Sun Tactics of Adversarial Attacks on Deep Reinforcement Learning Agents, IJCAI17, [link] + Yen-Chen , Zhang-Wei Hong, Yuan-Hong Liao, - Shih, Ming- , Min Sun Leveraging Video Descriptions to Learn Video Question Answering, AAAI17, [link] + Kuo- , Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun

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Industrial Technology Research Institute Hsinchu, Taiwan + Research Intern Mar. 2016–May 2017 Advised by Dr. Dung-Chan Tsai. I gave regular talks to the panel regarding DRL, and I also maintain a Github repository for the survey Umbo Computer Vision Inc. Hsinchu, Taiwan + CV/ML Intern Jun. 2016–Sep. 2016 Advised by Dr. Ting-fan . Keywords: natural language object retrieval Teaching

+ Fall 2017, TA for The Cutting-Edge of Deep Learning at National Tsing Hua University.

+ Spring 2017, TA for Signals and System at National Tsing Hua University

Honors & Awards Oversea Study Scholarship at NTHU Hsinchu, Taiwan + Award to 10 people every year (<10%). Jun. 2015

Excellent student scholarship of EECS college at NTHU Hsinchu, Taiwan + Around 8 people are granted every year (<10%). May 2016

Skills

+ C/C++, Python, Lua, Matlab.

+ Machine learning framework: Tensorflow, PyTorch, Torch

Side Projects

andrewliao11/gail-tf + [100+ stars] Implementation of Generative Adversarial Imitation Learning. The extension of this repository has been merged into @openai/baselines, a set of high-quality implementations of reinforcement learning algorithms. See the commit log here. andrewliao11/Deep-Reinforcement-Learning-Survey + [380+ stars, 100+ forks] I share my comments/thoughts on deep reinforcement learning.

andrewliao11/py-faster-rcnn-imagenet + [100+ stars] I provide a tutorial for people to use faster-rcnn on their own dataset. Related blog post andrewliao11/CoGAN-tensorflow + Tensorflow implementation of Coupled Generative Adversarial Networks. andrewliao11/dni.pytorch + PyTorch implementation of Decoupled Neural Interfaces using Synthetic Gradients.

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