Xu Han

Multimodal Generation & Reasoning

PhD Student in CS · UIUC

Make it count.

Biography

Background

I am a Ph.D. student in computer science at the Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, where I am advised by Prof. Ismini Lourentzou in the PLAN Lab. Previously, I completed my master’s degree 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 focuses on multimodal learning and generative modeling. I am especially interested in structured, simple, and scalable approaches to learning from diverse multimodal data and generating coherent content across modalities.

Multimodal Learning Generative Modeling Structured & Scalable Methods

I welcome academic collaborations in these directions.

Research outlook

I want to build models that learn, reason, and generate across modalities. The question that interests me most is which structural priors still matter as models scale.

Research output

Publications

Generative Models · Multimodal Learning · 3D Vision * equal contribution · ^† corresponding author

LumiX teaser

LumiX: Structured and Coherent Text-to-Intrinsic Generation

Xu Han, Biao Zhang, Xiangjun Tang, Xianzhi Li, Peter Wonka

BibTeX

PointDreamer teaser

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

Qiao Yu, Xianzhi Li^†, Yuan Tang, Xu Han, Jinfeng Xu, Long Hu, Min Chen

BibTeX

MoST teaser

MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning

Xu Han, Yuan Tang, Jinfeng Xu, Xianzhi Li^†

BibTeX

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

BibTeX

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

BibTeX

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

BibTeX

Mamba3D teaser

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

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

BibTeX

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

BibTeX

patchDPCC teaser

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds

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

BibTeX

Academic service

ReviewerCVPR · ACM Multimedia · AAAI