Weihao Yuan, Rui Fan, Michael Y. Wang, Qifeng Chen, “MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion”, submitted.
 Haoran Song, Joshua A Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragic, Johannes A Stork, “Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting”, submitted
 Yazhan Zhang, Weihao Yuan, Zicheng Kan, Michael Y. Wang, “Toward Learning to Detect and Predict Contact Events on Vision-based Tactile Sensor”, conference on Robot Learning (CoRL). 2019. Oral presentation.
 Weihao Yuan, Kaiyu Hang, Danica Kragic, Michael Y. Wang, Johannes A. Stork, “End-to-End Nonprehensile Rearrangement with Deep Reinforcement Learning and Simulation-to-Reality Transfer”, Robotics and Autonomous Systems (RAS). 2019.
 Weihao Yuan, Kaiyu Hang, Haoran Song, Danica Kragic, Michael Y. Wang, Johannes A. Stork, “Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation”, in IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2019.
 Weihao Yuan, Johannes Andreas Stork, Danica Kragic, Michael Yu Wang, Kaiyu Hang, “Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning”, in IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018, pp. 270-277.