Dr. Libin Liu joined Peking University in July 2020 and is currently an assistant professor at Center on Frontiers of Computing Studies, PKU. Before joining CFCS, Dr. Liu was the Chief Scientist of DeepMotion Inc. He was a R&D postdoctoral associate at Disney Research in 2015-2017 and a postdoctoral research fellow at the University of British Columbia in 2014-2015. He received his Ph.D. in Computer Science in 2014 and bachelor’s degree in Physics and Mathematics in 2009 from Tsinghua University. His research interests include computer graphics, character animation, physics-based simulation, motion control, and related areas such as optimization, reinforcement learning, and deep learning. Dr. Liu had published 9 papers on the top conferences and journals in computer graphics. He had regularly served on the program committees of many major conferences on computer graphics, including ACM SIGGRAPH, Eurographics, Pacific Graphics, etc.

At CFCS, Dr Libin Liu will continue his research in computer graphics, animation, and motion control, and will explore the applications in robot design and control, human motion analysis, and medical AI. In addition, Dr. Liu will teach undergraduate/graduate courses related to computer animation and motion intelligence.

Know more about Dr. Libin Liu: http://libliu.info

Dr. Kuan Cheng joined Peking University in July 2020 and is currently an assistant professor at Center on Frontiers of Computing Studies, PKU. Previously he was a postdoc at University of Texas at Austin. He received his PhD in computer science from Johns Hopkins University in 2019. Before that he received his master degree in Tsinghua University and bachelor degree in Shandong University. His research interests mainly include computational models and complexity, pseudorandomness and coding. He is also interested in learning theory and networks. He has published many papers in top conferences of theoretical computer science such as FOCS, CCC, SODA, ICALP, TCC, etc. Major work of him focus on coding for edit distance and hamming distance, also derandomization for circuits and small space computation. He plans to further study these areas in the future, and also extends these results to other popular areas such as machine learning, quantum computation etc.

Know more about Dr. Kuan Cheng: https://sites.google.com/site/ckkcdh/home