欢迎校内外本科生（尤其推免生，英语四级成绩》550分或六级成绩》520分）/硕士研究生报考我的硕士研究生/博士研究生职位，并有若干博士后职位。我的研究方向：

深度学习，跨模态多媒体数据处理（第五代多媒体处理技术），3D 视觉，3D AIGC，计算机视觉，计算机图形学，几何深度学习，图形与图像处理 ，大型飞机外形三维测量与几何处理，大模型技术

(Deep Learning, Cross-modal Multimedia Processing, 3D Vision, Geometric Deep Learning, Graphics and Image Processing)

    （1）国家级青年人才（2023）、江苏省双创博士（2018）、南航长空学者（2020）

   （2）ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM)、The Visual Computer、Journal of Electronic Imaging、《计算机辅助设计与图形学学报》等期刊编委（AE）

（3）Senior Member, IEEE

（4）江苏省智能制造工程学会常务理事、江苏省工程师学会虚拟现实与元宇宙专委会副主任、江苏省计算机学会虚拟现实与图形图像专委会副秘书长

（5）CVPR/ICCV/ECCV/AAAI/IJCAI/ACM MM 等CCF A/B类国际会议程序委员会委员

（6）IEEE Transactions on Multimedia、The Visual Computer客座编辑（Lead Guest Editor）：

    1) IEEE Transactions on Multimedia (CCF B & 中科院一区 IF=8.120) 专刊3D 视觉之"Point Cloud Processing and Undertanding"Guest Editor

    2) The Visual Computer (CCF C & SCI IF=2.6) 专刊“Deep Learning for 3D Segmentation”Guest Editor

  部分学术论文：

[1]    Hongwei Zhu（本科生）, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin: I can find you! Boundary-guided Separated Attention Network for Camouflaged Object Detection. AAAI, 2022. (CCF A)

[2]    Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, and Jing Qin. AGConv: Adaptive graph convolution on 3d point clouds. IEEE TPAMI (major revision), 2022, Link: https://arxiv.org/abs/2206.04665. (CCF A, IF=24)

[3]    Dening Lu, Qian Xie, Mingqiang Wei, Linlin Xu, and Jonathan Li. Transformers in 3d point clouds: A survey. IEEE TPAMI (under review), abs/2205.07417, 2022, Link: https://arxiv.org/abs/2205.07417.

[4]    Yiyang Shen, Sen Deng, Wenhan Yang, Mingqiang Wei, Haoran Xie, Xiaoping Zhang, Jing Qin, and Meng Wang. Semi-drdnet semi-supervised detail-recovery image deraining network via unpaired contrastive learning. IEEE TPAMI (under review), abs/2204.02772, 2022, Link: https://arxiv.org/abs/2204.02772.

[5]    Haoran Zhou（本科生）, Honghua Chen, Yingkui Zhang, Mingqiang Wei*, Haoran Xie, Jun Wang, Tong Lu*, and Xiao-Ping Zhang. Refine-Net: Normal Refinement Neural Network for Noisy Point Cloud. IEEE TPAMI, 2021. (CCF A)

[6]    李子宽, 魏明强, 吴巧云, 郭延文, 徐凯, 汪俊. 球谐算子驱动三维激光SLAM闭环检测. 计算机辅助设计与图形学学报（CCF A中文）, 2022. （第十四届中国计算机图形学大会最佳论文一等奖）

[7]    Honghua Chen, Zeyong Wei, Yabin Xu, Mingqiang Wei, Jun Wang. ImLoveNet: a Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs. SIGGRAPH, 2022. (CCF A)

[8]    Peng Li, Xuefeng Yan, Hongwei Zhu, Mingqiang Wei, et al: FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection. IEEE Transactions on Image Processing (TIP), 2022. (CCF A)

[9]    Dong Liang, Ling Li, Mingqiang Wei, et al. Semantically Contrastive Learning for Low-light Image Enhancement. AAAI, 2022. (CCF A)

[10] H Chen, Z Wei, X Li, Y Xu, M Wei, J Wang: RePCD-Net: Feature-Aware Recurrent Point Cloud Denoising Network. International Journal of Computer Vision, 1-15, 2022. (CCF A)

[11] Yongzhen Wang, Xuefeng Yan, Donghai Guan, Mingqiang Wei, Yiping Chen, Xiao-Ping Zhang, Jonathan Li. Cycle-SNSPGAN: Towards Real-World Image Dehazing via Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN. IEEE Transactions on Intelligent Transportation Systems (TITS), 2022. (CCF B)

[12] Yongzhen Wang, Xuefeng Yan, Hexiang Bao, Yiping Chen, Lina Gong, Mingqiang Wei, Jonathan Li. OD-UTDNet: Occluded and Dense Urban Tree Detection Network with a High-quality Tree Detection Dataset. IEEE Transactions on Geoscience and Remote Sensing, 2022. (CCF B)

[13] Qian Sun, Mingqiang Wei, et al. Deeply Exploiting Beneficial Features for Beauty Product Retrieval. ACM TOMM, 2022. (CCF B)

[14] Zhilei Chen, Honghua Chen, Yanwen Guo, Jun Wang, Jing Qin, and Mingqiang Wei. Utopic: uncertainty-aware overlap prediction network for partial point cloud registration. In Pacific Graphics, 2022. (CCF B)

[15] Haoran Pan and Mingqiang Wei. So(3)-pose: So(3)-equivariance learning for 6d object pose estimation. In Pacific Graphics, 2022. (CCF B)

[16] 陈红华, 魏泽勇, 谢乾, 魏明强, 汪俊. 基于三维点云深度学习的飞机表面多圆孔基元提取方法. 机械工程学报. 2022

[17] 石鼎, 燕雪峰, 宫丽娜, 张静宣, 关东海, 魏明强. 强化学习驱动的海战场多智能体协同作战仿真算法. 系统仿真学报. 2022.

[18] 孙乾, 魏明强等: 以图搜图：基于显著性注意力的美容产品检索网络. 计算机辅助设计与图形学学报. 2022. (CCF A中文)

[19] Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yunhui Liu, Pheng Ann Heng: Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. ICRA 2022. (CCF B)

[20] Yiyang Shen, Yidan Feng, Weiming Wang, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei: MBA-RAINGAN: A MULTI-BRANCH ATTENTION GENERATIVE ADVERSARIAL NETWORK FOR MIXTURE OF RAIN REMOVAL. ICASSP 2022. (CCF B)

[21] Yuwen Deng Donghai Guan Yanyu Chen Weiwei Yuan Jiemin Ji Mingqiang Wei: SAR-SHIPNET: SAR-SHIP DETECTION NEURAL NETWORK VIA BIDIRECTIONAL COORDINATE ATTENTION AND MULTI-RESOLUTION FEATURE FUSION. ICASSP 2022. (CCF B)

[22] C. Zheng, D. Shi, X. Yan, D. Liang, M. Wei, X. Yang, Y. Guo, H. Xie: GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection. Computer Graphics Forum, 2022. (CCF B)

[23] Dayong Ren, Jie Guo, Mingqiang Wei, Yanwen Guo: Point attention network for point cloud semantic segmentation. SCIENCE CHINA Information Sciences, 2022.

[24] N Wambugu, Y Chen, Z Xiao, K Tan, M Wei, X Liu, J Li：Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review. International Journal of Applied Earth Observation and Geoinformation. 2022

[25] D Liang, Q Geng, Z Wei, DA Vorontsov, EL Kim, M Wei, H Zhou: Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images. IEEE Transactions on Geoscience and Remote Sensing. 2022. (CCF B)

[26] N Wambugu, Y Chen, Z Xiao, M Wei, SA Bello, JM Junior, J Li: A hybrid deep convolutional neural network for accurate land cover classification. International Journal of Applied Earth Observation and Geoinformation. 2022

[27] P Gao, M Wei: Block size selection in rate-constrained geometry based point cloud compression. Multimedia Tools and Applications, 1-19, 2022

[28] Kin Sum Sammy Li, Quanyu Wang, J Keith Wilson, Fan Jeremy Zhang, Jody Ho Yee Cheung, Tsz Hin Chun, Sum Lam, Mingyong Pang, Haoran Xie, Mingqiang Wei, Kin San Lee: Decorated models, replication, and assembly lines for bronze industrial production in 500 BCE China. Early China 44, 109-142, 2021

[29] X Jiang, B Xu, M Wei, K Wu, S Yang, L Qian, N Liu, Q Peng: C2F-3DToothSeg: Coarse-to-fine 3D tooth segmentation via intuitive single clicks. Computers & Graphics, 2021

[30] Y Zhang, X Li, J Qiu, X Zhai, M Wei: GFU-Net: A Deep Learning Approach for Automatic Metal Crack Detection. International Conference on Neural Computing for Advanced Applications, 375-388, 2021

[31] Mingqiang Wei, Honghua Chen, Yingkui Zhang, Haoran Xie, Yanwen Guo, Jun Wang. GeoDualCNN: Geometry-supporting Dual Neural Networks for Noisy Point Cloud. IEEE Transactions on Visualization and Computer Graphics, 2021. (CCF A)

[32] Haoran Zhou, Yidan Feng, Mingqiang Wei, Jing Qin, Tong Lu. Adaptive Graph Convolution for Point Cloud Analysis. ICCV, 2021. (CCF A)

[33] Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Dening Lu, Mingqiang Wei and Jun Wang. VENet: Voting Enhancement Network for 3D Object Detection. ICCV, 2021. (CCF A)

[34] Yingkui Zhang, Guibao Shen, Mingqiang Wei, Guangyong Chen, Qiong Wang, Jing Qin, Pheng-Ann Heng. GeoBi-GNN: Geometry-aware Bi-domain Mesh Denoising via Graph Neural Networks. Computer-Aided Design, 2021. (CCF B)

[35] Yidan Feng, Sen Deng, Xuefeng Yan, Xin Yang, Mingqiang Wei, Ligang Liu. Easy2Hard: Learning to Solve the Intractables From a Synthetic Dataset for Structure-Preserving Image Smoothing. IEEE Transactions on Neural Networks and Learning Systems, 2021. (CCF B)

[36] Guibao Shen, Yingkui Zhang, Jialu Li, Mingqiang Wei, Qiong Wang, Guanyong Chen, Pheng-Ann Heeng. Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance. ACM MM, 2021. (CCF A)

[37] Sen Deng, Yidan Feng, Haoran Xie, Yiping Chen, Jun Li, Xiaoping Zhang, Mingqiang Wei, Jing Qin. Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. IJCAI, 2021. (CCF A)

[38] Honghua Chen, Yaoran Huang, Qian Xie, Yuanpeng Liu, Yuan Zhang, Mingqiang Wei and Jun Wang: Multi-scale Feature Line Extraction from Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction, IEEE Transactions on Automation Science and Engineering, 2021. (CCF B)

[39] Dong Liang, Han Sun, Liyan Zhang, Ningzhong Liu, Mingqiang Wei. NLKD: using coarse annotations for semantic segmentation based on knowledge distillation, ICASSP, 2021. (CCF B)

[40] Zhoutao Wang, Qian Xie, Mingqiang Wei, Kun Long and Jun Wang. Multi-feature Fusion VoteNet for 3D Object Detection. ACM Transactions on Multimedia Computing, Communications, and Applications. 2021.

[41] Z Ji, X Sun, YW Zhang, W Ma, M Wei. Normal Manipulation for Bas-relief Modeling. Graphical Models, 101099, 2021.

[42] Xiaoxue Liu, Yiping Chen, Mingqiang Wei, Cheng Wang, Jun Li. A Building Instance Extraction Method Based on Improved Hybrid Task Cascade, EEE Geoscience and Remote Sensing Letters, 2021.

[43] J Ni, J Wu, J Tong, M Wei, Z Chen. SSCA-Net: Simultaneous Self-and Channel-attention Neural Network for Multi-scale Structure-Preserving Vessel Segmentation, 2021.

[44] Nan Ye, Hongyu Zhu, Mingqiang Wei, Liyan Zhang. Accurate and dense point cloud generation for industrial Measurement via target-free photogrammetry Optics and Lasers in Engineering 140, 106521, 2021

[45] C Jiang, J Wu, W Zhong, M Wei, J Tong, H Yu, L Wang. Automatic Facial Paralysis Assessment via Computational Image Analysis, Journal of healthcare engineering 2020

[46] Yanjun Peng, Ming Chang, Qiong Wang, Yinling Qian, Yingkui Zhang, Mingqiang Wei, Xiangyun Liao: Sparse-to-Dense Multi-Encoder Shape Completion of Unstructured Point Cloud. IEEE Access 8: 30969-30978 (2020)

[47] 魏明强, 陈红华, 孙杨杏, 汪俊, 郭延文，燕雪峰: 破损文物数字化修复: 以中国出土青铜器为例. 计算机辅助设计与图形学学报,2020-11-18.

[48] 郜金艳，郭延文，王连生，汪俊，魏明强. 基于几何先验和深度学习的点云法矢估算. 计算机辅助设计与图形学学报, 2021-03.

[49] 刘彩霞, 魏明强, 郭延文: 基于深度学习的三维点云修复技术综述, 计算机辅助设计与图形学学报，2020-12-22.

[50] 王继东, 赵瑞斌, 魏明强: 内部结构自支撑的三维打印浮体平衡优化算法. 计算机辅助设计与图形学学报, 32(3): 493-500, 2020.

[51] 李智琦(本科生), 毛心怡（本科生）, 汪俊, 魏明强, 郭延文: 保持特征的三角网格曲面去噪技术综述与展望. 计算机辅助设计与图形学学报, 32(1): 1-15, 2020.

[52] 梁楚萍（本科生）, 印杰, 伍静, 汪俊, 魏明强, 郭延文: 三维网格分割中聚类分析技术综述. 计算机辅助设计与图形学学报, 32(4): 680-691, 2020.

[53] 邓森, 徐进轩, 梁鹿鸣, 杨珉, 谢浩然, 王富利, 汪俊, 魏明强, 郭延文: 自适应深度残差椒盐噪声滤除算法. 计算机辅助设计与图形学学报, 32(8): 1248-1257, 2020.

[54] Dingkun Zhu, Yingkui Zhang, Zhiqi Li, Weiming Wang, Haoran Xie, Mingqiang Wei, Shing Cheng, Fu Lee Wang: Cascaded Normal Filtering for Geometry-aware Mesh Denoising of Measurement Surfaces. IEEE Transactions on Instrumentation and Measurement, 2021, to appear.

[55] Jiajia Dai, Mingqiang Wei, Qian Xie, Jun Wang: Aircraft Seam Feature Extraction from 3D Raw Point Cloud via Hierarchical Multi-structure Fitting. Comput. Aided Des. 130: 102945 (2021)

[56] Mingqiang Wei, Yidan Feng, Honghua Chen. Selective-Guidance Normal Filter, IEEE Transactions on Visualization and Computer Graphics, 2020, to appear.

[57] Meili Wang, Li Wang, Tao Jiang, Nan Xiang, Juncong Lin, Mingqiang Wei, Xiaosong Yang, Taku Komura, Jianjun Zhang. Bas-relief modelling from enriched detail and geometry with deep normal transfer. Neurocomputing, 2020, to appear.

[58] Luming Liang, Sen Deng, Lionel Gueguen, Xinming Wu, Mingqiang Wei, Jing Qin: Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations. Neurocomputing, 2021, to appear.

[59] Zhiqi Li（本科生）, Yingkui Zhang, Yidan Feng, Xingyu Xie, Qiong Wang, Mingqiang Wei, Pheng-Ann Heng: NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising. Comput. Aided Des. 127: 102861 (2020)

[60] Mingqiang Wei, Zhan Song, Y. Nie, Jianhuang Wu, Zhongping Ji, Yanwen Guo, Haoran Xie, Jun Wang, Fu Lee Wang: Normal-Based Bas-Relief Modelling via Near-Lighting Photometric Stereo. Comput. Graph. Forum 39(1): 204-219 (2020)

[61] Honghua Chen, Mingqiang Wei, Yangxing Sun, Xingyu Xie, Jun Wang: Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint. IEEE Trans. Vis. Comput. Graph. 26(11): 3255-3270 (2020)

[62] Haoran Zhou（本科生）, Honghua Chen, Yidan Feng, Qiong Wang, Jing Qin, Haoran Xie, Fu Lee Wang, Mingqiang Wei, Jun Wang: Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud. CVPR 2020: 13235-13244

[63] Sen Deng, Mingqiang Wei, Jun Wang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang, Meng Wang: Detail-recovery Image Deraining via Context Aggregation Networks. CVPR 2020: 14548-14557

[64] Yiyang Shen, Yidan Feng, Sen Deng, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei: MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images. CoRR abs/2005.10582 (2020)

[65] Jun Wang, Jin Huang, Fu Lee Wang, Mingqiang Wei, Haoran Xie, Jing Qin: Data-driven Geometry-recovering Mesh Denoising. Comput. Aided Des. 114: 133-142 (2019)

[66]  Cheng Yi, Dening Lu, Qian Xie, Shuya Liu, Hu Li, Mingqiang Wei, Jun Wang: Hierarchical tunnel modeling from 3D raw LiDAR point cloud. Comput. Aided Des. 114: 143-154 (2019)

[67] Honghua Chen, Jin Huang, Oussama Remil, Haoran Xie, Jing Qin, Yanwen Guo, Mingqiang Wei, Jun Wang: Structure-guided shape-preserving mesh texture smoothing via joint low-rank matrix recovery. Comput. Aided Des. 115: 122-134 (2019)

[68] Yu-Wei Zhang, Jing Wu, Zhongping Ji, Mingqiang Wei, Caiming Zhang: Computer-assisted Relief Modelling: A Comprehensive Survey. Comput. Graph. Forum 38(2): 521-534 (2019)

[69] Mingqiang Wei, X. Guo, J. Huang, Haoran Xie, H. Zong, R. Kwan, F. L. Wang, Jing Qin: Mesh Defiltering via Cascaded Geometry Recovery. Comput. Graph. Forum 38(7): 591-605 (2019)

[70] Yangxing Sun, H. Chen, J. Qin, H. Li, Mingqiang Wei, H. Zong: Reliable Rolling-guided Point Normal Filtering for Surface Texture Removal. Comput. Graph. Forum 38(7): 721-732 (2019)

[71] Xianglin Guo, Xingyu Xie, Guangcan Liu, Mingqiang Wei, Jun Wang: Robust Low-rank subspace segmentation with finite mixture noise. Pattern Recognit. 93: 55-67 (2019)

[72]  Mingqiang Wei, Yang Tian, Wai-Man Pang, Charlie C. L. Wang, Ming-Yong Pang, Jun Wang, Jing Qin, Pheng-Ann Heng: Bas-Relief Modeling from Normal Layers. IEEE Trans. Vis. Comput. Graph. 25(4): 1651-1665 (2019)

[73] Mingqiang Wei, Jin Huang, Xingyu Xie, Ligang Liu, Jun Wang, Jing Qin: Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery. IEEE Trans. Vis. Comput. Graph. 25(10): 2910-2926 (2019)

[74] Jidong Wang, Jiajia Dai, Kin-Sum Li, Jun Wang, Mingqiang Wei, Mingyong Pang: Cost-effective printing of 3D objects with self-supporting property. Vis. Comput. 35(5): 639-651 (2019)

[75] Wuyuan Xie, Miaohui Wang, Mingqiang Wei, Jianmin Jiang, Jing Qin: Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach. CVPR 2019: 5328-5336

[76]  Qiaoyun Wu, Hongbin Yang, Mingqiang Wei, Oussama Remil, Bo Wang, Jun Wang. Automatic 3D Reconstruction Of Electrical Substation Scene From LiDAR Point Cloud. ISPRS Journal of Photogrammetry and Remote Sensing, 2018.

[77] Ruibing Zhao, Mingyong Pang, Mingqiang Wei. Accurate extraction of building roofs from airborne light detection and ranging point clouds using a coarse-to-fine approach. Journal of Applied Remote Sensing, 12(2), 2018.

[78] Mingqiang Wei, Qiong Wang, Yichen Li, Wai-Man Pang, Luming Liang, Jun Wang, Kelvin K. L. Wong, Derek Abbott, Jing Qin and Jianhuang Wu. Centerline extraction of vasculature mesh. IEEE ACCESS, 2018.

[79] Mingqiang Wei, Jun Wang, Xianglin Guo, Huisi Wu, Haoran Xie, Fu Lee Wang, Jing Qin. Learning-based 3D surface optimization from medical image reconstruction. Optics and Lasers in Engineering, 2018.

[80] Cheng Yi, Hongwen Xing, Qiaoyun Wu, Yuan Zhang, Mingqiang Wei, Bo Wang, Laishui Zhou. Automatic Detection of Cross-Shaped Targets for Laser Scan Registration. IEEE Access, 2018.

[81] Mingqiang Wei, Luming Liang, Wai-Man Pang, Jun Wang, Weishi Li, Huisi Wu. Tensor voting guided mesh denoising. IEEE Transactions on Automation Science and Engineering, 2017, 14(1): 931-945.

[82] Qian Xie, Oussama Remil, Yanwen Guo, Meng Wang, Mingqiang Wei, Jun Wang. Object Detection and Tracking Under Occlusion for Object-level RGB-D Video Segmentation, IEEE Transactions on Multimedia, 2017.

[83] Jun Wang, Qiaoyun Wu, Oussama Remil, Cheng Yi, Yanwen Guo, Mingqiang Wei. Modeling Indoor Scenes with Repetitions from 3D Raw Point Data, Computer-Aided Design, 2017.

[84] Cheng Yi, Yuan Zhang, Qiaoyun Wu, Yabin Xu, Mingqiang Wei, Jun Wang. Urban Building Reconstruction from Raw LiDAR Point Data, Computer-Aided Design, 2017.

[85] Luming Liang, Mingqiang Wei, Andrzej Szymczak, Anthony Petrella, Haoran Xie, Jing Qin, Jun Wang, Fu Lee Wang. Nonrigid Iterative Closest Points for Registration of 3D Biomedical Surfaces, Optics and Lasers in Engineering, 2017.

[86] Mingqiang Wei, Luming Liang, Andrzej Szymczak, Meng Wang, Wai-Man Pang. Spin contour. IEEE Transactions on Multimedia, 2016, 18(11): 2282-2292.

[87] Mingqiang Wei, Jinze Yu, Wai-Man Pang, Jun Wang, Jing Qin, Ligang Liu, Pheng-Ann Heng. Bi-normal filtering for mesh denoising. IEEE Transactions on Visualization and Computer Graphics , 21(1): 43-55, 2015.

[88] Mingqiang Wei, Lei Zhu, Jinze Yu, Jun Wang, Wai-Man Pang, Jianhuang Wu, Jing Qin, Pheng-Ann Heng. Morphology-preserving smoothing on polygonized isosurfaces of inhomogeneous binary volumes. Computer-Aided Design, 58: 92-98, 2015 (Special issue of ACM SPM 2014).

[89] Jun Wang, Yabin Xu, Oussama Remil, Xingyu Xie, Nan Ye, Cheng Yi, Mingqiang Wei. Automatic modeling of urban facades from raw LiDAR point data. Computer Graphics Forum, 35(7): 269-278, 2016 (Special issue of Pacific Graphics 2016).

[90] Mingqiang Wei, Wuyao Shen, Jing Qin, Jianhuang Wu, Tsin-Tien Wong, Pheng-Ann Heng. Optimizing noisy meshes by joint bilateral filter and constrained laplacian smoothing. Optics and Lasers in Engineering, 51(11): 1745-1754, 2013.

[91] Mingqiang Wei, Jinze Yu, Qing Qin, Jianhuang Wu, Pheng-Ann Heng. Feature-preserving mesh denoising via normal guided quadric error metrics. Optics and Lasers in Engineering, 62: 57-68, 2014.

[92] Mingqiang Wei, Lei Zhu, Jinze Yu, Weiming Wang, Jing Qin, Pheng-Ann Heng. Coarse-to-fine normal filtering for feature-preserving mesh denoising based on isotropic subneighborhoods. Computer Graphics Forum, 32(7): 371-380, 2013 (Special issue of Pacific Graphics 2013).

[93] Luming Liang, Andrzej Szymczak, Mingqiang Wei. Geodesic contour for partial near-isometric matching. Computers & Graphics, 46: 156-171, 2015 (Special issue of Shape Modeling International 2015).

[94] Jun Wang, Zeyun Yu, Weizhong Zhang, Mingqiang Wei, Changbai Tan, Ning Dai, Xi Zhang. Robust reconstruction of 2D curves from scattered noisy point data. Computer-Aided Design (CAD), 50: 27-40, 2014.

[95] Lei Zhu, Chi-Wing Fu, Yueming Jin, Mingqiang Wei, Jing Qin, Pheng-Ann Heng. Non-local sparse and low-rank regularization for structure-preserving image smoothing. Computer Graphics Forum, 2016 (Special issue of Pacific Graphics 2016).

[96] 赵瑞斌，庞明勇，张燕玲，魏明强，游国忠，机载LiDAR点云中精细建筑物顶面的渐进提取, 计算机辅助设计与图形学学报， 2017

[97] Xiaotong Jiang, Chen Chen, Ning Dai, Luming Liang, Mingqiang Wei. Models partition for 3d printing objects using skeleton. Rapid Prototyping Journal. 2016.

[98] Sen Wang, Jianhuang Wu, Mingqiang Wei, Xin Ma. Robust curve skeleton extraction for vascular structures. Graphical Models, 74(4): 109-120, 2012.

[99] Jianhuang Wu, Mingqiang Wei, Yonghong Li, Xin Ma, Fucang Jia, Qingmao Hu. Scale-adaptive surface modeling of vascular structures. BioMedical Engineering OnLine 2010, 19 Nov. 2010.

[100]  Haoyu Wang, Jianhuang Wu, Mingqiang Wei, Xin Ma. A robust and fast approach to simulating the behavior of guidewire in vascular interventional radiology. Computerized Medical Imaging and Graphics, 32(3): 174-186, 2014.

[101]    Mingqiang Wei, Lei Zhu, Jinze Yu, Jun Wang, Wai-Man Pang, Jing Qin, Pheng-Ann Heng. Morphological feature preserving mesh smoothing for biomedical applications. Computer Graphics International, 1-4, 2014.

[102]  Mingqiang Wei, Yichen Li, Jianhuang Wu, Mingyong Pang. ESimp: Error-controllable simplification with feature preservation for surface reconstruction. International Conference on CyberWorlds, 77-84, 2011.

[103]  Mingqiang Wei, Jianhuang Wu, Mingyong Pang. Geometry-based remeshing with image processing. International Congress on Image and Signal Processing, 2575-2578, 2010.

[104]  Mingqiang Wei, Mingyong Pang, Zhigeng Pan. Optimizing triangulation of implicit surface based on quadric error metrics. International Conference on CyberWorlds, 113-119, 2010.

[105]  Mingqiang Wei, Jianhuang Wu, Mingyong Pang. An integrated approach to filling holes in meshes. International Conference on Artificial Intelligence and Computational Intelligence, 3: 306-310, 2010.

[106] Mingqiang Wei, Jianhuang Wu, Mingyong Pang. Dynamic mesh optimization with curvature dependent subdivision for polygonized implicit surfaces with sharp features. International Conference on Artificial Intelligence and Computational Intelligence, 3: 331-335, 2010.

[107]  Xin Ma, Mingqiang Wei, Sen Wang, Jianhuang Wu. An interactive deforming framework for dental surface restoration. International Conference on Biomedical Engineering and Biotechnology, 25-30, 2012.

[108] Weiming Wang, Qiang Meng, Jing Qin, Mingqiang Wei, Yim-Chui Pan, Pheng-Ann Heng. An interactive web-based anatomy navigation system via WebGL and Kinect. Ijcars 2013.

[109]  Mingqiang Wei, Mingyong Pang, Chuiling Fan. Survey on planar parameterization of triangular meshes. International Conference on Measuring Technology and Mechatronics Automation, 3:702-705, 2010.

[110]  Jin Huang, Mingqiang Wei, Honghua Chen, Jun Zhou, Jun Wang. Mesh-based Computation for Solving Bas-Relief Generation from Editable Normal Images, Measurement and Science Technology, 2019.

[111]  Mingqiang Wei, Wai-Man Pang, Fu Lee Wang, Haoran Xie, Jing Qin. Joint Weighted Least Squares for Surface Normal Decomposition, Measurement and Science Technology, 2020.

[112]  Mingqiang Wei, Fu Lee Wang, Haoran Xie, Jun Wang, Jing Qin. Vascular Mesh Optimization and Centerline Extraction for Endovascular Intervention Simulation, Optics and Lasers in Engineering, 2018.

科研成果获奖及专利：

1. 2014年香港中文大学青年学者最佳博士毕业论文奖

2. 2015年南京“321”计划

3. 2014年国科杯“我要创业”大赛一等奖

4. 2020年南京航空航天大学“青年学者”创新奖

5. 2020年中国机器人大赛3D视觉大赛一等奖（指导教师）

6. 2019年南航本科学学术论文一等奖（江苏省二等奖）、二等奖（指导教师）

7. 南航”长空学者“计划

8. 江苏省计算机学会计算机学会青年科技奖

9. 第14届中国计算机图形学大会最佳论文奖(Best paper award)

承担的科研项目情况：

1. 国家自然科学基金重点项目，面向3D对象分析与生成的深度学习理论与方法、62032011、在研，联合主持（南大-南航-浙大）

2. 国家自然科学基金面上项目，面向大型飞机外形分析的大规模点云几何深度学习问题研究，62172218，在研，主持
   

3. 国家重点研发计划子课题（运-20相关），***，在研，主持

4. 国防基础项目（军事智能相关），***，在研，联合主持

5. 中央扶持地方自由探索项目，点云驱动的飞机几何分析问题研究，在研， 2021Szvup060，主持
   

6. 江苏省文化和旅游科研课题重点项目，面向室外场景文化遗产保护的点云处理、20ZD06、在研，主持
   

7. 国家自然科学青年基金项目，青铜器缺块数字化补配的关键技术研究、61502137、结题、主持

8. 浙江大学CAD&CG国家重点实验室开放课题，青铜器虚拟修复中基础算法研究，结题、主持

9.   Innovation and Technology Fund of Hong Kong，A Software Toolkit for Rapid Development of Interactive 3D Web Applications，结题，参与

10. RGC General Research Fund of Hong Kong，Virtual Reality Incisional Anatomy for Microscopic Mastoid Surgery Learning，结题，参与

11. 国家自然科学基金，脑出血的神经内窥镜手术模拟关键技术研究，结题，参与

12. 深圳市机器人孵化器项目，血管介入手术机器人辅助系统，参与，结题

13. 国家自然科学基金，点云曲面建模的关键技术研究，参与，结题

指导研究生情况：

毕业5人（含共同指导1名）

备注：

欢迎对机器学习、图形图像处理感兴趣的学生报读我的研究生。提供国内外学术交流机会，表现优异者，可推荐到香港中文大学，香港大学，香港科技大学，香港城市大学，香港理工大学和香港教育大学等攻读博士学位。 Feel free to contact me by：mqwei@nuaa.edu.cn / mingqiang.wei@gmail.com