Stitch-Aware Routing for Multiple E-Beam Lithography. - Iou-Jen Liu; Shao-Yun Fang; Yao-Wen Chang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Overlay-Aware Detailed Routing for Self-Aligned Double Patterning Lithography Using the Cut Process. - Iou-Jen Liu; Shao-Yun Fang; Yao-Wen Chang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. - Iou-Jen Liu; Raymond A. Yeh; Alexander G. Schwing (CoRL, 2019)

Knowledge Flow: Improve Upon Your Teachers. - Iou-Jen Liu; Jian Peng 001; Alexander G. Schwing (ICLR (Poster), 2019)

Accelerating distributed reinforcement learning with in-switch computing. - Youjie Li; Iou-Jen Liu; Yifan Yuan; Deming Chen; Alexander G. Schwing; Jian Huang 006 (ISCA, 2019)

High-Throughput Synchronous Deep RL. - Iou-Jen Liu; Raymond A. Yeh; Alexander G. Schwing (NeurIPS, 2020)

GridToPix: Training Embodied Agents with Minimal Supervision. - Unnat Jain; Iou-Jen Liu; Svetlana Lazebnik; Aniruddha Kembhavi; Luca Weihs; Alexander G. Schwing (ICCV, 2021)

Cooperative Exploration for Multi-Agent Deep Reinforcement Learning. - Iou-Jen Liu; Unnat Jain; Raymond A. Yeh; Alexander G. Schwing (ICML, 2021)

Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning. - Iou-Jen Liu; Zhongzheng Ren; Raymond A. Yeh; Alexander G. Schwing (IROS, 2021)

Bridging the Imitation Gap by Adaptive Insubordination. - Luca Weihs; Unnat Jain; Iou-Jen Liu; Jordi Salvador; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (NeurIPS, 2021)

Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language. - Iou-Jen Liu; Xingdi Yuan; Marc-Alexandre Côté; Pierre-Yves Oudeyer; Alexander G. Schwing (ICML, 2022)

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 (CoRR, 2022)