A Geometric Algebra-Informed 3DGS Framework for Wireless Channel Prediction
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026).
A geometric algebra-informed 3D Gaussian Splatting framework for wireless channel prediction.
Ph.D. Student in Computer Science, Florida International University
Miami, FL, USA
I am a Ph.D. student at the Knight Foundation School of Computing and Information Sciences, Florida International University, advised by Dr.Xuyu Wang. Prior to FIU, I received my M.S. in Computer Science from George Washington University in 2023, advised by Dr.Robert Pless, and and my B.S. in Computer Science from Huaqiao University, advised by Dr.Jialin Peng
My research focuses on 3D vision for wireless field modeling, Physical AI, digital twins, and world models.
[2026.10] One paper is accepted to Sensys 2027.
[2026.08] One paper is submitted to IEEE Transactions on Mobile Computing.
[2026.07] Two papers are submitted to IEEE INFOCOM 2027.
[2026.05] One paper is submitted to IEEE Journal on Selected Areas in Communications
I have diverse interests such as photography, movies, sports like tennis (UTR > 4.5), basketball, football (aka soccer), and music including piano and guitar. My favourite lyrics and my life quote is ‘Live vertically, linger horizontally’.
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026).
A geometric algebra-informed 3D Gaussian Splatting framework for wireless channel prediction.
IEEE International Conference on Computer Communications (INFOCOM 2026).
A geometric algebra-informed NeRF framework for wireless channel prediction.