Adam Liu

Iou-Jen (Adam) Liu

My research centers around Deep Reinforcement Learning, Embodied AI, and Multi-Agent Learning. At Google, I work on visual-language models for video understanding and classification. I hold a PhD in ECE from UIUC, supervised by Professor Alexander Schwing. Prior to UIUC, I received my M.S. and B.S, both in EE, from National Taiwan University, working with Professor Yao-Wen Chang .

Email / CV / Google Scholar / GitHub

Affiliations


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

Publications

	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]
	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]
	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]
	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]
	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]
	High-Throughput Synchronous Deep Reinforcement Learning Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing (NeurIPS'20) Neural Information Processing Systems, 2020 [pdf] [project]
	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]
	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]
	Knowledge Flow: Improve upon Your Teachers Iou-Jen Liu, Jian Peng, Alexander G. Schwing (ICLR'19) International Conference on Learning Representations,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 (TCAD'16) IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 35, 2016 [pdf] (DAC'14) Design Automation Conference, 2014 [pdf]
	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, Sp22

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