Portrait of Xu Han

Biography

Background

I am a final-year graduate student in computer science at Huazhong University of Science and Technology, advised by Prof. Xianzhi Li. I was a research intern at King Abdullah University of Science and Technology (KAUST), working with Prof. Peter Wonka. Before that, I received my B.Eng. degree with honors from the School of Computer Science at Shandong University in 2023, where I worked closely with Prof. Mengbai Xiao.

Research interests

My research lies at the intersection of generative modeling, 3D vision, and multimodal learning. I study how models can learn useful structure from visual and spatial data, and use it to understand and generate complex scenes.

World Models Generative Modeling 3D Vision Multimodal Learning

I’m always open to thoughtful collaborations across these areas.

Research outlook

I am particularly interested in world models that capture not only what an environment looks like, but also how it changes and responds to action. I hope to develop models that draw on visual, geometric, and linguistic evidence to predict future states and support reasoning and action in dynamic environments.


Research output

Publications

My work spans generative modeling, 3D vision, and multimodal learning.
* equal contribution · corresponding author

PointDreamer teaser

PointDreamer: Zero-Shot 3D Textured Mesh Reconstruction From Colored Point Cloud

Qiao Yu, Xianzhi Li, Yuan Tang, Xu Han, Long Hu, Yixue Hao, Min Chen

MoST teaser

MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning

Xu Han, Yuan Tang, Jinfeng Xu, Xianzhi Li

Fancy123 teaser

Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation

Qiao Yu, Xianzhi Li, Yuan Tang, Xu Han, Long Hu, Yixue Hao, Min Chen

SASep teaser

SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds

Jinfeng Xu, Xianzhi Li, Yuan Tang, Xu Han, Qiao Yu, Yixue Hao, Long Hu, Min Chen

GreenPLM teaser

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding

Yuan Tang*, Xu Han*, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen

Mamba3D teaser

Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model

Xu Han*, Yuan Tang*, Zhaoxuan Wang, Xianzhi Li

MiniGPT-3D teaser

MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors

Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Yixue Hao, Long Hu, Min Chen

patchDPCC teaser

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds

Zirui Pan, Mengbai Xiao, Xu Han, Dongxiao Yu, Guanghui Zhang, Yao Liu


Community

Academic Service