2D/3D计算机视觉、高质量三维重建、力/视觉材质属性解析及仿真、数字孪生、具身智能

个人简介

教学情况

主要讲授计算机科学与技术专业 《虚拟现实》《虚拟现实技术基础》《大数据可视化技术》等课程。

科研情况

代表性论文：

[1] Xiaogang Wang, Hongyu Wu, Wenfeng Song, Kai Xu. Fracture-GS: Dynamic Fracture Simulation with Physics-Integrated Gaussian Splatting. International Conference on Learning Representations (ICLR),2026.（机器学习领域顶会）

[2] Xuelu Li, Zhaonan Wang, Xiaogang Wang, Lei Wu, Manyi Li, Changhe Tu. ArtPro: Self-Supervised Articulated Object Reconstruction with Adaptive Integration of Mobility Proposals. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2026.（CCF-A类国际会议）

[3] Xiaogang Wang, Liu YunCong,Yu Zhang.Sketch2CAD:Generative Adversarial Network for Automated Conversion of Hand-Drawn Sketches to Parametric CAD Models. IEEE International Conference on Robotics and Automation (ICRA),2026.（CCF-B类国际会议）

[4] Yuncong Liu, Hongyu Wu b, Kai Xu, Xiaogang Wang.Para-Roof: High-quality parametric roof reconstruction via primitive proposal extraction from point cloud. Expert Systems with Applications (ESWA),2026.（中科院SCI一区）

[5] Hongyi Zhou, Yulan Guo, Xiaogang Wang, Kai Xu, MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos,In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (ICCV),2025.（CCF-A类国际会议）

[6] Jiahui Chen, Yu Zhang and Xiaogang Wang. Generating Multi-Illumination Leaf Images through Single-Image Material Estimation for Robust Disease Recognition.Computer Graphics International Conference (CGI),2025.（CCF-C类国际会议）

[7] XiShu Fan, Zexian Liu, Junlin Chang, Hongyu Wu, Xiaogang Wang, Aimin Hao. 3D Dental Model Segmentation with Geometrical Boundary Preserving. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2025.（CCF-A类国际会议）

[8] Yuhang Cheng, Zhiyuan Wang, JiaLan He, and Xiaogang Wang. Winding Number-guided Edge-Preserving Implicit Neural Representation of CAD Surfaces. IEEE International Conference on Robotics and Automation (ICRA),2025.（CCF-B类国际会议）

[9] Yuhang Cheng, Yu Zhang, Xiaogang Wang. Learing 3D Volume Cloud from Single Image. ACM International Conference on Multimedia Retrieval (ICMR),2025. （CCF-B类国际会议, 已接收）

[10] Xiaogang Wang, Yuhang Cheng, Ziyang Fan, and Kai Xu. Learning to transfer heterogeneous translucent materials from a 2D image to 3D models. In Proceedings of the 32nd ACM International Conference on Multimedia (MM), pages 3440-3448, 2024.（CCF-A类国际会议）

[11] Yinglong Li, Hongyu Wu, Xiaogang Wang, Qingzhao Qin, Yijiao Zhao, Yong Wang, and Aimin Hao. Facecom: Towards high-fidelity 3d facial shape completion via optimization and inpainting guidance. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 2177-2186, 2024.（CCF-A类国际会议）

[12] Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, and Kai Xu. Parametric primitive analysis of cad sketches with vision transformer. IEEE Transactions on Industrial Informatics (TII), 2024.（中科院SCI一区， IF:11.7）

[13] Yuhang Cheng, Ziyang Fan, Hongyu Wu, and Xiaogang Wang. High-order differential regularizing implicit surface representation of point cloud. In 2024 IEEE International Conference on Multimedia and Expo (ICME),2024.（CCF-B类国际会议,Oral）

[14] Dan Mei and Xiaogang Wang. Finernet: A coarse-to-fine approach to learning high-quality implicit surface reconstruction. Computer Graphics International Conference (CGI), pages 147-158. Springer, 2023.（CCF-C类国际会议,Oral）

[15] Liang Wang and Xiaogang Wang. PPI-NET: end-to-end parametric primitive inference. Computer Graphics International Conference (CGI),2023.（CCF-C类国际会议，Oral）

[16] Xiaogang Wang, Xun Sun, Sinyu Cao, Kai Xu, Bin Zhou. Learning Fine-Grained Segmentation of 3D Shapes without Part Labels. IEEE Conference on Computer Vision and Patern Recognition (CVPR), 2021.（CCF-A类国际会议）

[17] Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi Amiri, Hao Zhang.PIE-Net: Learning Parametric Inference of Edges for Point Clouds. 34th Conference on Neural Information Processing Systems (NeurIPS), 2020. (CCF-A类国际会议)

[18] Dongqing Zou, Xiaowu Chen, Guangying Cao，Xiaogang Wang. Unsupervised Video Matting via Sparse and Low-Rank Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.（CCF-A类国际期刊,IF:20.8）

[19] Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qingping Zhao and Kai Xu. Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes.  IEEE Conference on Computer Vision and Patern Recognition (CVPR), 2019. (Oral presentation) （CCF-A类国际会议, Oral）

[20] Haiyue Fang*, Xiaogang Wang*(共同第一作者), Zheyuan  Cai, Xun Sun and Bin Zhou.  Learning semantic abstraction of shape via 3D region of interest. Graphical Models (GM), 2019.（CCF-B类国际期刊）

[21] Xiaogang Wang, Bin Zhou, Haiyue Fang, Xiaowu Chen, Qingping Zhao and Kai Xu.  Learning to Group and Label Fine-Grained Shape Components. ACM Transactions on Graphics, 2018. （CCF-A类国际期刊）

[22] Xiaogang Wang, Bin Zhou, Zongji Wang, Dongqing Zou, Xiaowu Chen and Qingping Zhao. Efficiently consistent affinity propagation for 3D shapes co-segmentation. Visual Computer (TVC), 2018. （CCF-C类国际期刊）

[23] Yafei Song, Jia Li, Xiaogang Wang, Xiaowu Chen. Single Image Dehazing Using Ranking Convolutional Neural Network[J]. IEEE Transactions on Multimedia (TMM), 2017. （中科院SCI一区，CCF-B类国际期刊）

[24] Yafei Song, Xiaowu Chen, Xiaogang Wang, Yu Zhang, Jia Li. 6-DOF Image  Localization From Massive Geo-Tagged Reference Images[J]. IEEE Transactions on Multimedia (TMM), 2016. （中科院SCI一区，CCF-B类国际期刊）

[25] Yafei Song, Xiaowu Chen, Xiaogang Wang, Yu Zhang, Jia Li. Fast Estimation of  Relative Poses for 6-DOF Image Localization. IEEE International Conference on Multimedia Big Data (BigMM), 2015. (最佳会议论文奖)

[26] Dongqing Zou, Xiaowu Chen, Guangying Cao, Xiaogang Wang. Video Matting via Sparse and Low-Rank Representation. IEEE International Conference on Computer Vision (ICCV), 2015. （CCF-A类国际会议）

[27] Han Zhang, Xiaowu Chen, Yu Zhang, Jia Li, Qing Li, Xiaogang Wang. Cuboids detection in RGB-D images via Maximum Weighted Clique. IEEE International Conference on Multimedia and Expo (ICME), 2015. （CCF-B类国际会议）

[28] Xiaogang Wang, Li Li and Wenting Chai. Geometric modeling of broad-leaf plants leaf based on B-spline[J]. Mathematical and Computer Modelling (MCM), 2013.

发明专利(已授权)：

[1] 中国发明专利授权，名称：一种CAD模型运动部件及运动属性联合解析方法及装置。已授权（ZL 2023 1 0332610.0），2024.04.19

[2] 美国发明专利授权，名称：METHOD AND APPARATUS FOR PARSING AND PROCESSING THREE-DIMENSIONAL CAD MODEL.已授权（US 10,489,914 B2），2019.11.26

[3] 美国发明专利授权，名称： CO-SEGMENTATION METHOD AND APPARATUS FOR THREE-DIMENSIONAL MODEL SET.已授权（US 10,672,130 B2），2020.06.02

[4] 美国发明专利授权，名称： METHOD FOR VIDEO MATTING VIA SPARSE AND LOW-RANK REPRESENTATION.已授权（US 10,235,571 B2），2019.3.19

[5] 美国发明专利授权，名称： IMAGE DEHAZING METHOD。已授权（US 10,504,209 B2），2019.12.10

[6] 中国发明专利授权，名称：一种稀疏和低秩联合表达的视频前景对象精准提取。已授权（ZL 2015 1 0695505.9），2018.04.06

[7] 中国发明专利授权，名称：三维模型集共分割方法及装置。已授权（ZL 2017 1 0088613.9），2020.04.21

[8] 中国发明专利授权，名称：排序卷积神经网络构建方法及其图像处理方法与装置。申请时间：2016.07.12。已授权（ZL 2016 1 0545516.9），2019.09.10

[9] 中国发明专利授权，名称：三维模型的解析处理方法和装置。已授权（ZL 2017 1 0850541.9），2021.01.19

备注

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