Adam Iou-Jen Liu

I am a PhD student in Electrical and Computer Engineering at University of Illinois at Urbana-Champaign. I work with Professor Alexander Schwing on Machine Leaning, Deep Reinforcement Learning (RL) and Multi-Agent Deep RL. I received my master and bachelor degree, both in EE, from National Taiwan University (NTU), Taiwan. In NTU, I worked with Professor Yao-Wen Chang on Electronic Design Automation (EDA).

Email  /  CV  /  Google Scholar  

Publications

High-Throughput Synchronous Deep Reinforcement Learning
Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
Neural Information Processing Systems (NeurIPS), 2020

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu*, Raymond A. Yeh*, Alexander G. Schwing (*equal contribution)
Conference on Robot Learning (CoRL), 2019
[pdf] [project] [code]

Accelerating Distributed Reinforcement Learning with In-Switch Computing
Youjie Li, Iou-Jen Liu, Deming Chen, Alexander G. Schwing, Jian Huang
ACM/IEEE International Symposium on Computer Architecture (ISCA), 2019
[pdf] [video]

Knowledge Flow: Improve upon Your Teachers
Iou-Jen Liu, Jian Peng, Alexander G. Schwing
International Conference on Learning Representations (ICLR), 2019
[pdf]

Overlay-Aware Detailed Routing for Self-Aligned Double Patterning Lithography Using the Cut Process
Iou-Jen Liu, Shao-Yun Fang, Yao-Wen Chang
IEEE Transactions on Computer-Aided Design (TCAD), Vol. 35, 2016
ACM/IEEE Design Automation Conference (DAC), 2014
[pdf]

Stitch-Aware Routing for Multiple E-Beam Lithography
Iou-Jen Liu, Shao-Yun Fang, Yao-Wen Chang
IEEE Transactions on Computer-Aided Design (TCAD), Vol. 34, 2015
ACM/IEEE Design Automation Conference (DAC), 2013
[pdf]


Teaching

ECE220 Computer Systems and Programming
Head Teaching Assistant, Spring 2017 - present
Teachers Ranked as Excellent: Spring’17, Spring’18, Fall’18, Spring’19, Fall’19