Sihu Liu

Intern (Shanghai University)

Email: liusihu@@gdiist.cn

Research Direction: 

Neuronal morphology modeling and visualization

Personal Profile: 

Sihu Liu is an intern student in the Laboratory of the Lab of Computing and Visualization for Connectomics Data. He received B.S. degree from Shandong University of Science and Technology in 2020, and his M.S. degree from Shanghai University in 2024, majoring in Communication and Information System. His research interests include computer graphics and neuronal morphological modeling, and he works on implicit surface modeling methods, high-quality neuronal morphology surface generation methods, etc. He has won the second prize of Shandong Province Robotics Competition, the second prize of Huawei Cup Mathematical Modeling and many other competitions, and his research results have been published in the journals of Computers & graphics, Frontiers in Neuroinformatics and other journals.

Representative Works:

1. Zhu X, Chen Q, Liu S, et al. Controllable blending of line and polygon skeleton-based convolution surfaces with finite support kernels[J]. Computers & Graphics, 2022, 106: 98-109.

2. Zhu X, Liu X, Liu S, et al. Robust quasi-uniform surface meshing of neuronal morphology using line skeleton-based progressive convolution approximation[J]. Frontiers in Neuroinformatics, 2022, 16: 953930.