Department of Mechano-Informatics
Graduate School of Information Science and Technology
The University of Tokyo
Greatings! I am currently pursuing my PhD degree at the Machine Intelligence Laboratory (MIL) under the supervision of Prof. Tatsuya Harada . Before that, I obtained my Master’s degree from the Intelligent Systems and Informatics (ISI) Laboratory at the Graduate School of Information Science and Technology, University of Tokyo, where I was supervised by Prof. Kohei Nakajima and Prof. Yasuo Kuniyoshi . I received my Bachelor degree of Engineering in University of Waterloo, ON, Canada.
My research interests are centered around 3D Computer Vision, Robotics, and Computational Photography. Currently, my work focuses on integrating physical priors into 3D world modeling to bridge the gap between data-driven and physics-based learning methodologies.
(* indicates equal contribution)
Preprint Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging
Shuhong Liu , Xining Ge, Ziying Gu, Lin Gu, Ziteng Cui, Xuangeng Chu, and et al.
In preprint , 2026
Preprint RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstruction
Shuhong Liu , Chenyu Bao, Ziteng Cui, Yun Liu, Xuangeng Chu, Lin Gu, and et al.
In preprint , 2026
NeurIPS I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions
Shuhong Liu , Lin Gu, Ziteng Cui, Xuangeng Chu, and Tatsuya Harada
In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) , 2025
TVCG DenseSplat: Densifying Gaussian Splatting SLAM with Neural Radiance Prior
Mingrui Li* , Shuhong Liu* , Tianchen Deng, and Hongyu Wang
IEEE Transactions on Visualization and Computer Graphics (TVCG) , 2025
TASE MG-SLAM: Structure Gaussian Splatting SLAM With Manhattan World Hypothesis
Shuhong Liu , Tianchen Deng, Heng Zhou, Liuzhuozheng Li, Hongyu Wang, Danwei Wang, and Mingrui Li
IEEE Transactions on Automation Science and Engineering (TASE) , 2025
PRR Exploiting chaotic dynamics as deep neural networks
Shuhong Liu , Nozomi Akashi, Qingyao Huang, Yasuo Kuniyoshi, and Kohei Nakajima
Physical Review Research , 2025
AAAI DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments
Shuhong Liu , Xiang Chen, Hongming Chen, Quanfeng Xu, and Mingrui Li
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , 2025
ECCV SGS-SLAM: Semantic Gaussian Splatting for Neural Dense SLAM
Mingrui Li* , Shuhong Liu* , Heng Zhou, Guohao Zhu, Na Cheng, Tianchen Deng, and Hongyu Wang
In European Conference on Computer Vision (ECCV) , 2024
Honors and Awards Sep 15, 2024 BOOST NAIS Next-Generation AI for Intelligent Society, Japan Science and Technology Agency (JST), 2024.10 - 2027.09 May 27, 2024 Winner of CVPR 2024 UG2+ UAV Tracking and Pose Estimation (Track-3)
Services Reviewer NeurIPS, ICLR, ICML, CVPR, ICCV, AAAI, TMLR, PR
Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical ImagingIn preprint, 2026
