Adam Iou-Jen Liu

I am a software engineer at Google. I received my PhD in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign (UIUC). In UIUC, I worked with Professor Alexander Schwing on Multi-Agent Learning and Reinforcement Learning. 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  /  Google Scholar  /  GitHub  

Affiliations
               
National Taiwan University
2008 - 2015
University of Illinois
2015 - 2022
Microsoft Research Montreal
Summer 2021
Google
2022 - present


Publications

sym Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu*, Xingdi Yuan*, Marc-Alexandre Côté*, Pierre-Yves Oudeyer, Alexander G. Schwing
(ICML'22) International Conference on Machine Learning, 2022
[pdf] [project]

sym Bridging the Imitation Gap by Adaptive Insubordination
Luca Weihs*, Unnat Jain*, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
(NeurIPS'21) Neural Information Processing Systems, 2021
[pdf] [project]

sym GridToPix: Training Embodied Agents with Minimal Supervision
Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs*, Alexander G. Schwing*
(ICCV'21) International Conference on Computer Vision , 2021
[pdf] [project]

sym Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Iou-Jen Liu*, Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing
(IROS'21) International Conference on Intelligent Robots and Systems , 2021
Also presented in RL for Real Life Workshop at ICML 2021
[pdf] [project]

sym Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu, Unnat Jain, Raymond A. Yeh, Alexander G. Schwing
(ICML'21) International Conference on Machine Learning, 2021
Long Talk (Top 3%)
[pdf] [project]

sym High-Throughput Synchronous Deep Reinforcement Learning
Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
(NeurIPS'20) Neural Information Processing Systems, 2020
[pdf] [project]

sym PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu*, Raymond A. Yeh*, Alexander G. Schwing
(CoRL'19) Conference on Robot Learning, 2019
[pdf] [project]

sym Accelerating Distributed Reinforcement Learning with In-Switch Computing
Youjie Li, Iou-Jen Liu, Yifan Yuan, Deming Chen, Alexander G. Schwing, Jian Huang
(ISCA'19) International Symposium on Computer Architecture, 2019
Also presented in NSDI'19 (poster)
[pdf] [video]

sym Knowledge Flow: Improve upon Your Teachers
Iou-Jen Liu, Jian Peng, Alexander G. Schwing
(ICLR'19) International Conference on Learning Representations,2019
[pdf]

sym Overlay-Aware Detailed Routing for Self-Aligned Double Patterning Lithography Using the Cut Process
Iou-Jen Liu, Shao-Yun Fang, Yao-Wen Chang
(TCAD'16) IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 35, 2016 [pdf]
(DAC'14) Design Automation Conference, 2014 [pdf]

sym Stitch-Aware Routing for Multiple E-Beam Lithography
Iou-Jen Liu, Shao-Yun Fang, Yao-Wen Chang
(TCAD'15) IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 34, 2015 [pdf]
(DAC'13) Design Automation Conference, 2013 [pdf]

Teaching

ECE220 Computer Systems and Programming
UIUC, Head Teaching Assistant, Sp17, Fa17, Sp18, Su18, Fa18, Sp19, Su19, Fa19, Sp20, Fa20, Sp21, Fa21, Sp22
Teachers Ranked as Excellent: Sp17, Sp18, Fa18, Sp19, Fa19

EE5026 Physical Design for VLSI
NTU, Teaching Assistant, Spring 2014