HKUST-RI congratulates Prof Ming LIU and his students for winning ICAR Best Student Paper Award and ICIA Best Paper in Automation Award.
- Lei Tai, Haoyang Ye, Qiong Ye, Ming Liu, PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI, IEEE International Conference on Advanced Robotics (ICAR) Best Student Paper Award, July 10-12, 2017, Hong Kong, China.
- Lujia Wang, Yinting Luo, Luyu Wang and Ming Liu, Point-cloud Compression Using Data Independent Method – A 3D Discrete Cosine Transform Approach, IEEE International Conference Information and Automation (ICIA)Best Paper in Automation Award, July 18-20, 2017, Macau, China
Professor Ming LIU
Ming Liu graduated as a PhD student from the Department of Mechanical and Process Engineering of ETH Zürich in 2013, supervised by Prof Roland Siegwart. He is now affiliated with ECE department, CSE department and Robotics Institute of Hong Kong University of Science and Technology.
He is a founding member of Shanghai SWing Automation Ltd. Co. He is also coordinating and involved in NSF projects, and National 863-Hi-Tech-Plan projects in China. As a team member, he won the second place of EMAV’09 (European Micro Aerial Vehicle Competition) and two awards from IARC’14 (International Aerial Robot Competition). He won the Best Student Paper Award as first author for MFI 2012 (IEEE International Conference on Multisensor Fusion and Information Integration), the Best Paper Award in Information for ICIA 2013 (IEEE International Conference on Information and Automation) as first author and Best Paper Award Finalists as co-author, the Best RoboCup Paper Award for IROS 2013 (IEEE/RSJ International Conference on Intelligent Robots and Systems), the Best Conference Paper Award for IEEE-CYBER 2015, Best Student Paper Finalist for RCAR 2015 (IEEE International conference on Real-time Computing and Robotics), Best Student Paper Finalist for ROBIO 2015. He won twice the innoviation contest Chunhui Cup Winning Award in 2012 and 2013. He won the Wu Weijun AI award in 2016. He was the Program Chair of IEEE-RCAR 2016. He is the Conference Chair of ICVS 2017.
Ming Liu’s research interests include dynamic environment modeling, deep-learning for robotics, 3D mapping, machine learning and visual control. He’s particularly interested in the investigation of novel, real-time online approaches in solving mobile robot mapping and navigation. In general, he can be stimulated by research in all robotic and intelligent system fields.