Hi, this is Chuxin Wang.

Biography

Hi! I am a PhD student in Department of Automation at University of Science and Technology of China, advised by Prof. Weiren Wu and Tianzhu Zhang.

My research primarily focuses on 3D computer vision, including vision-3D foundation models, self-supervised/semi-supervised learning, 3D scene understanding, and representation learning.

Previously, I interned with the Visual Computing Group at Microsoft Research Asia (2020-2021) and Deep Space Exploration Laboratory (2024-2025).

News 🔥

Jun. 2025: StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning was accepted by ICCV 2025.
May 2025: Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding was accepted by ICML 2025.
May 2025: Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding was accepted by IJCAI 2025.
Jan. 2025: State Space Model Meets Transformer: A New Paradigm for 3D Object Detection was accepted by ICLR 2025.
Dec. 2024: RMAE3D: Rethinking Masked Representation Learning for 3D Point Cloud Understanding was accepted by TIP 2025.
Aug. 2024: Pamba: Enhancing Global Interaction in Point Clouds via State Space Model was accepted by AAAI 2025.
Oct. 2023: Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection were accepted by ICCV 2023.
Oct. 2023: Query Refinement Transformer for 3D Instance Segmentation were accepted by ICCV 2023.
Apr. 2023: SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence were accepted by CVPR 2023.
May. 2023: Long-Short Range Adaptive Transformer With Dynamic Sampling for 3D Object Detection were accepted by TCSVT 2023.

Experiences 📖

Feb. 2024 - Now: Algorithm development intern, DSEL

Sep. 2021 - Now: PhD Student, USTC

Jul. 2020 - Jun. 2021: Research intern, MSRA (VC Group)

Sep. 2017 - Jun. 2021: Undergraduate, USTC

Publications

* denotes equal contribution. More publications can be found in Google Scholar.

	StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning Chuxin Wang, Yixin Zha, Wenfei Yang, Tianzhu Zhang ICCV 2025 Paper
	State Space Model Meets Transformer: A New Paradigm for 3D Object Detection Chuxin Wang, Wenfei Yang, Xiang Liu, Tianzhu Zhang ICLR 2025 Paper Webpage Code Poster BibTeX
	Rethinking Masked Representation Learning for 3D Point Cloud Understanding Chuxin Wang, Yixin Zha, Jianfeng He, Wenfei Yang, Tianzhu Zhang TIP 2024 Paper Webpage Code BibTeX
	Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection Chuxin Wang, Wenfei Yang, Tianzhu Zhang ICCV 2023 Paper Webpage Code BibTeX
	Long-short Range Adaptive Transformer with Dynamic Sampling for 3D Object Detection Chuxin Wang, Jiacheng Deng, Jianfeng He, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang TCSVT 2023 Paper Webpage BibTeX
	Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang IJCAI 2025 Paper
	SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence Jiacheng Deng, Chuxin Wang, Jiahao Lu, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Zhe Zhang CVPR 2023 Paper Webpage Code BibTeX Poster
	Style-based Point Generator with Adversarial Rendering for Point Cloud Completion Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen CVPR 2021 Paper Webpage Code BibTeX Poster
	Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding Yixin Zha, Chuxin Wang, Wenfei Yang, Xiang Liu, Tianzhu Zhang, Feng Wu ICML 2025 Paper
	QRT3D: Query Refinement Transformer for 3D Instance Segmentation Jiahao Lu, Jiacheng Deng, Chuxin Wang, Jianfeng He, Tianzhu Zhang ICCV 2023 Paper
	Pamba: Enhancing Global Interaction in Point Clouds via State Space Model Zhuoyuan Li, Yubo Ai, Jiahao Lu, Chuxin Wang, Jiacheng Deng, Hanzhi Chang, Yanzhe Liang, Wenfei Yang, Shifeng Zhang, Tianzhu Zhang AAAI 2025 Paper
	ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation Ruijie Zhu, Chuxin Wang, Ziyang Song, Li Liu, Tianzhu Zhang, Yongdong Zhang Arxiv 2024 Paper Webpage Code
	EC-Depth: Exploring the consistency of self-supervised monocular depth estimation under challenging scenes Ziyang Song, Ruijie Zhu, Chuxin Wang, Jiacheng Deng, Jianfeng He, Tianzhu Zhang Arxiv 2023 Paper Webpage Code