I received the B.S. degree in communication engineering from Shan Dong University, Qingdao, China, in 2019. I am currently working toward the Ph.D. degree with the Department of Electronic Engineering, Shanghai Jiao Tong University. My research interests include point cloud signal processing and streaming, geometric deep learning.

My research is in the area of point cloud signal processing and streaming, which focuses on rate adaptation for point cloud video under limited bandwidth constraints and point cloud processing by geometric deep learning. My current research topics include:

l  Adaptive streaming for point cloud video

l  Point cloud processing utilizing geometric deep learning

1.     Lisha Wang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “QOE-Driven and Tile-Based Adaptive Streaming for Point Clouds”, accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2021), Toronto, Canada, June 2021.

2.     Lisha Wang, Chenglin Li, Wenrui Dai, Shaohui Li, Junni Zou, Hongkai Xiong, “QoE-Driven Adaptive Streaming for Point Clouds”, accepted by IEEE Transactions on Multimedia, 2022.