Before coming to MERL, Siheng worked postdoctoral research associate at CMU and on perception and prediction systems for self-driving cars at Uber Advanced Technologies Group. At CMU he received 2 masters degrees (one in Electrical \& Computer Engineering and one in Machine Learning) in addition to his PhD. He received his bachelor's degree in Electronics Engineering in 2011 from Beijing Institute of Technology, China. He is the recipient of the 2018 IEEE Signal Processing Society Young Author Best Paper Award. His coauthored paper received the Best Student Paper Award at 2018 IEEE Global Conference on Signal and Information Processing. His research interests include graph signal processing, graph neural networks, 3D point cloud processing, and graph mining.
- "Fast Resampling of 3D Point Clouds via Graphs", IEEE Transactions on Signal Processing, DOI: 10.1109/TSP.2017.2771730, Vol. 66, No. 3, pp. 666-681, November 2017. ,
- "Contour-Enhanced Resampling of 3D Point Clouds Via Graphs", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. ,