Ruisheng Wang

Ruisheng Wang

Distinguished Professor, Shenzhen University

Biography

Dr.Ruisheng Wang is a distinguished professor in the Shenzhen University. He was a professor in the Department of Geomatics Engineering at the University of Calgary from 2012 to 2024. Before that, he worked as an industrial researcher as HERE Technologies (formerly NAVTEQ) in Chicago, USA since 2008. His primary research focuses there was mobile LiDAR data processing for next-generation map maling and navigation. Dr.Wang holds a Ph.D. in Electrical and Computer Engineering from McGill University, an M.Sc.E. in Geomatics Engineering from University of New Brunswick, and B.Eng. in Photogrammetry and Remote Sensing from Wuhan University, respectively.

Educational Background

  • McGill University

    PhD Electrical and Computer Engineering

  • University of New Brunswick

    MSc.E Geomatics Engineering

  • Wuhan University

    BEng Photogrammetry and Remote Sensing

Research

In general, I am interested in Geomatics, Computer Vision and interdisciplinary topics of Geomatics Engineering and Computer Science. A particular focus of mine is combining Computer Science with Geomatics to solve problems within each field, and to promote their disciplinary convergence. My research follows the themes of photogrammetry, computer vision, and remote sensing with a focus on mapping, especially point cloud processing.

Specifically, my research areas of focus include development of intelligent algorithms and computational tools for information extraction, 3D mapping and modeling of real world environments using data acquired from different platforms with different sensors. Examples include airborne/spaceborne imaging using active sensors (e.g. LiDAR) and/or passive sensors (e.g. panchromatic camera), ground-based or vehicle-borne based sensing techniques (e.g. hand-held shooting, mobile mapping), and mobility data (e.g. GPS traces).

News

Current team

  • PhD students:
  • MSc students:
  • Visiting scholars:

Awards

  • Sameul Gamble Award, International Society for Photogrammetry and Remote Sensing (ISPRS). 2022
  • Talbert Abrams Award Second Honorable Mention, ASPRS. 2018
  • Research Excellence Award, Schulich School of Engineering. 2017
  • Outstanding Teaching Performance, Schulich School of Engineering. 2016
  • Google Research Awards, Google Inc. 2016
  • Early Research Excellence Award, Schulich School of Engineering. 2014
  • Google Research Awards, Google Inc. 2014
  • Certificate of Excellence in Reviewing, Elsevier & ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier & ISPRS. 2014
  • Eight NAVTEQ Significant Development Awards, NOKIA. 2009
  • Benedek Graduate Fellowships in Engineering, McGill University. 2008
  • Vadasz Fellowship, McGill University. 2006
  • McGill Engineering Doctoral Award (MEDA), McGill University. 2006
  • NSERC Doctoral Scholarship PGS-D, NSERC. 2006
  • GeoTango Award of Research Excellence, GEOIDE. 2005
  • Best Poster Award, XXth ISPRS Congress, Istanbul, Turkey. 2004

Publications

Google scholar

Hobbies

More Information

  • Peer-reviewed Journal Papers
    1. Wuyong Tao, Zhiquan Wu, Ruisheng Wang, Xianghong Hua, Shaoping Xu, Zhiping Chen, Danhua Min，2025. A Correspondence Selection Method by Updating Compatibility Matrix for Point Cloud Registration. IEEE Transactions on Geoscience and Remote Sensing. 10.1109/TGRS.2025.3604617
    2. Bo Guo，Zhihai Huang，Shengjun Tang, Naftaly Wambugu，Wenchao Guo，Ruisheng Wang, Xiaolong Deng, Alex Hay-Man NG, 2025. An Efficient Multi-scale Transformer Network with Fusion-attention for Point Cloud Semantic Segmentation in Urban Environments. Photogrammetric Engineering & Remote Sensing.
    3. Wuyong Tao, Ruisheng Wang, Xianghong Hua, Jingbin Liu, Xijiang Chen, Yufu Zang, Dong Chen, Dong Xu, Bufan Zhao, 2025. Handcrafted local feature descriptor-based point cloud registration and its applications: a review. IEEE Transactions on Visualization and Computer Graphics, 10.1109/TVCG.2025.356989.
    4. Xu, Shibiao, Xu, Wenhao, Lyu, Jiayi, Xu, Rongtao, Huang, Longzhao, Zhang, Zherui, Guo, Li, Wang, Ruisheng, Wang, Changwei; Zhang, Xiaopeng, 2025. Frequency Meets Semantics: Spectral Vision-Language Alignment for Zero-Shot Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence.
    5. ARPresent: Optimizing Virtual 3D Character Placement for Naturalistic Public Speaking Training, 2025. IEEE Transactions on Mobile Computing.
    6. Xing Zhang, Xinglin Huang, Kaipeng Hong, Qingquan Li, Ruisheng Wang, Baoding Zhou, 2025. TUC-Net: A Point Cloud Segmentation Network Based on Neighbourhood Feature Perception Aggregation for Tunnels under Construction. IEEE Transactions on Intelligent Transportation Systems, 10.1109/TITS.2025.3542500.
    7. Perpetual Hope Akwensi, Akshay Bharadwaj, Ruisheng Wang, 2025. Points2Model: A Neural-Guided 3D Building Wireframe Reconstruction from Airborne LiDAR Point Clouds. International Journal of Digital Earth 18 (1), 2458682.
    8. Naftaly Wambugu, Ruisheng Wang, Zhijun Wang, Xinchang Zhang, Tsz Nam Chan, 2025. LLFA-Net: Layer-level feature aggregation network for effective semantic segmentation of fine-resolution remote sensing images. International Journal of Applied Earth Observation and Geoinformation.
    9. HSPFormer: Hierarchical Spatial Perception Transformer for Semantic Segmentation, Chen, Siyu; Han, Ting; Zhang, Changshe; Su, Jinhe; Wang, Ruisheng; Chen, Yiping; Wang, Zongyue; Cai, Guorong, 2025. IEEE Intelligent Transportation Systems Transactions. Volume: 26, Issue: 4, Page(s): 4975-4987.
    10. Xinjiang Ma, Dongjie Yue, Jintao Li, Ruisheng Wang, Jiayong Yu, Rufei Liu, Maolun Zhou, Yifan Wang, 2024. Rutting extraction from vehicle-borne laser point clouds. Automation in Construction. Volume 168, Part B, 15 December 2024, 105853.
    11. Xin Lu, Ruisheng Wang, Huaiqing Zhang, Ji Zhou, Ting Yun, 2024. PosE-Enhanced Point Transformer for Forest Wood-Leaf Separation - An Important Prerequisite for Digital Twin Applications. Forests 15 (12), 2244
    12. Ze Ding, Huaiqing Zhang, Ruisheng Wang, Li Zhang, Hanxiao Jiang and Ting Yun, 2024. A dual-branch deep learning framework at the grid scale for individual tree segmentation. Geoscience and Remote Sensing Letters, Digital Object Identifier: 10.1109/LGRS.2024.3506223.
    13. Bo Guo, Zhihai Huang, Haitao Luo, Perpetual Hope Akwensi, Ruisheng Wang∗, Bo Huang, Tsz Nam Chan, 2024. An enhanced network for extracting tunnel lining defects using Transformer encoder and aggregate decoder. International Journal of Applied Earth Observation and Geoinformation.
    14. Hongxin Yang, Ruisheng Wang, 2024. Self-Supervised Pretraining Framework for Extracting Global Structures from Building Point Clouds via Completion. IEEE Transactions on Geoscience and Remote Sensing, Volume: 62 On Page(s): 1-17.
    15. Hailun Yan, Ruisheng Wang, Hongchao Fan, 2024. Poly R-CNN: Efficient Large-Scale Boundary-Regularized Building Footprint Extraction from Remote Sensing Images. Earth Science Informatics.
    16. Hongchang He, Donglin Fan, Ruisheng Wang, Xiaoyue Lyu, Bolin Fu, Yuan Huang, Jingran Sheng, 2024. Estimation of daytime all-sky sea surface temperature from Himawari-8 based on multilayer stacking machine learning. International Journal of Applied Earth Observation and Geoinformation Volume 132, August 2024.
    17. Hongxin Yang, Shangfeng Huang, Ruisheng Wang, 2024. Occluded Building Facade Completion Using a Multi-Scale Hierarchical Transformer Network. IEEE Transactions on Geoscience and Remote Sensing.
    18. Hongxin Yang, Shangfeng Huang, Ruisheng Wang, 2024. Efficient Roof Vertex Clustering for Wireframe Simplification Based on the Extended Multiclass Twin Support Vector Machine. IEEE Geoscience and Remote Sensing Letters.
    19. Xing Zhang, Zhanpeng Huang, Qingquan Li, Ruisheng Wang, Baoding Zhou，2024. Legged robot-aided 3D tunnel mapping via residual compensation and anomaly detection. ISPRS Journal of Photogrammetry and Remote Sensing.
    20. Ting Yun, Jian Li, Lingfei Ma, Ji Zhou, Ruisheng Wang, Markus P. Eichhorn, Huaiqing Zhang, 2024. Status, advancements and prospects of deep learning methods applied in forest studies. International Journal of Applied Earth Observation and Geoinformation.
    21. Tang, Shengjun and Ao, Zhuoyu and Li, Yaoyu and Huang, Hongsheng and Xie, Linfu and Wang, Ruisheng and Wang, Weixi and GUO, Renzhong, 2024. TreeNet3D: A Large Scale Tree Benchmark for 3D Tree Modeling, Carbon Storage Estimation and Tree Segmentation. International Journal of Applied Earth Observation and Geoinformation, Volume 130, June 2024, 103903.
    22. Wuyong Tao; Yansheng Xiao; Ruisheng Wang; Tieding Lu; Shaoping Xu, 2024. A fast registration method for building point clouds obtained by terrestrial laser scanner via 2D feature points. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2024.3392927.
    23. Perpetual Hope Akwensi, Akshay Bharadwaj, Ruisheng Wang, 2024. APC2Mesh: Bridging the gap from occluded building façades to full 3D models. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2024.04.0092. Dengfeng Chai, Jingfeng Huang, Minghui Wu, Xiaoping Yang, Ruisheng Wang, 2024. Remote sensing image cloud detection using a shallow convolutional neural network. ISPRS Journal of Photogrammetry and Remote Sensing, Vol 209, Pages 66-84.
    24. Perpetual Hope Akwensib, Ruisheng Wang，Bo Guo, 2024. PReFormer: A memory efficient transformer for point cloud semantic segmentation. International Journal of Applied Earth Observation and Geoinformation.
    25. Hongxin Yang, Shangfeng Huang, Ruisheng Wang, Xin Wang. 2024. Self-Supervised Pre-Training for 3D Roof Reconstruction on LiDAR Data. IEEE Geoscience and Remote Sensing Letters.
    26. Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Ruisheng Wang, Xiaopeng Zhang 2024. Exploring Intrinsic Discrimination and Consistency for Weakly Supervised Object Localization. IEEE Transactions on Image Processing (TIP), 10.1109/TIP.2024.3356174.
    27. Huaigang Huang and Ruisheng Wang, 2024. Easy-Net: A lightweight building extraction network based on building features. IEEE Transactions on Geoscience and Remote Sensing， 10.1109/TGRS.2023.3348102.
    28. Hongxin Yang, Ruisheng Wang, 2023. Self-supervised Learning on 3D Point Clouds based on a Masked Linear Autoencoder. IEEE Transactions on Geoscience and Remote Sensing, Digital Object Identifier or DOI: 10.1109/TGRS.2023.3337088.
    29. Bo Guo, Liwei Deng, Ruisheng Wang, Wenchao Guo, Alex Ng, 2023. MCTNet: Multiscale Cross-attention based Transformer Network for Semantic Segmentation of Large-scale Point Clouds. IEEE Transactions on Geoscience and Remote Sensing.
    30. Yang Zheng，Hao Deng, Jingjie Wu, Ruisheng Wang, Zhankun Liu, Lixin Wu, 2023. Space-associated domain adaptation for three-dimensional mineral prospectivity modeling. International Journal of Digital Earth, Pages 2885-2911, Volume 16, 2023 - Issue 1.
    31. Changwei Wang, Rongtao Xu, Shibiao Xu，Weiliang Meng, Ruisheng Wang, Jiguang Zhang, Xiaopeng Zhang, 2023. Towards accurate and efficient road extraction by leveraging the characteristics of road shapes. IEEE Transactions on Geosci
    32. Perpetual Hope Akwensi, Zhizhong Kang, Ruisheng Wang, 2023. Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning, International Journal of Applied Earth Observation and Geoinformation.
    33. Changwei Wang, Lele Xu, Rongtao Xu, Shibiao Xu, Weiliang Meng, Ruisheng Wang, Xiaopeng Zhang 2023. Triple Robustness Augmentation Local Features for multi-source image registration, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 199, 2023, Pages 1-14.
    34. Jian Gao, Houjun Jiang *, Zhongchang Sun, Ruisheng Wang, Youmei Han 2023. A Parallel InSAR Phase Unwrapping Method Based on Separated Reliability Regions. Remote Sensing.
    35. Zhenyu Zhang, Jian Wang *, Zhiyuan Li, Youlong Zhao, Ruisheng Wang 2022. Optimization Method of Airborne LiDAR Individual Tree Segmentation Based on Gaussian Mixture Model. Remote Sensing.
    36. Jing Li, Chenhui Shi, Jun Chen, Ruisheng Wang, Zhiyuan Yang, Fan Zhang & Jianhua Gong, 2022. A monocular visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR-camera integrated device, International Journal of Digital Earth, 15:1, 1929-1946, DOI: 10.1080/17538947.2022.2138591
    37. Ma, Xinjiang; Yue, Dongjie; Liu, Rufei; Wang, Ruisheng; Zhu, Shaolin; Wang, Minye; Yu, Jiayong, 2022. Road curbs extraction from MLS point clouds with multi-dimensional LBPROT features. The Photogrammetric Record.
    38. Li Li, Nan Song, Fei Suna, Xinyi Liu, Ruisheng Wang, Jian Yao, Shaosheng Cao, 2022. Point2Roof: End-to-End 3D Building Roof Modeling from Airborne LiDAR Point Clouds. ISPRS Journal of Photogrammetry and Remote Sensing (top 1% most-cited articles published in Geosciences in 2022).
    39. Donglin Fan, Hongchang He, Ruisheng Wang, You Zeng, Bolin Fu, Yuankang Xiong, Lilong Liu, Yong Xu, Ertao Gao, 2022. CHLNET: A Novel Hybrid 1D CNN-SVR Algorithm for Estimating Ocean Surface Chlorophyll-a. Frontiers in Marine Science, section Marine Conservation and Sustainability https://doi.org/10.3389/fmars.2022.934536
    40. Shangfeng Huang, Guorong Cai; Zongyue Wang, Qiming Xia, Ruisheng Wang, 2021. SSA3D: Semantic Segmentation Assisted One-Stage Three-Dimensional Vehicle Object Detection. IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2021.3133476.
    41. Huaigang Huang, Yiping Chen, Ruisheng Wang, 2021. A Lightweight Network for Building Extraction from Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2021.3131331(top 10% most-cited articles published in Geosciences in 2021).
    42. Shaobo Xia, Sheng Xu, Ruisheng Wang, Jonathan Li, Guanghui Wang, 2021. Building Instance Mapping from ALS Point Clouds Aided by Polygonal Maps. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2021.3087159.
    43. Sheng Xu, Ruisheng Wang, Hao Wang and Ruigang Yang, 2021. Plane Segmentation Based on the Optimal-vector-field in LiDAR Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 43, Issue 11, Page(s): 3991-4009, December 2021.
    44. Ye C, Zhao H, Ma L, Jiang H, Li H, Wang R, Chapman M, Marcato Jr J, Li J, 2020. Robust lane extraction from MLS point clouds towards HD maps especially in curve roads, IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.2020.3028033 (top 10% most-cited articles published in Geosciences in 2020).
    45. Xu Sheng，Wang Ruisheng，Wang Hao，Zheng Han, 2020. An optimal hierarchical clustering approach to mobile LiDAR point clouds， IEEE Transactions on Intelligent Transportation Systems, Volume: 21, Issue: 7， Page(s): 2765-2776.
    46. Wuyong Tao, Xianghong Hua, Kegen Yu, Ruisheng Wang, Xiaoxing He, 2020. A Comparative Study of Weighting Methods for Local Reference Frame. Appl. Sci. 2020, 10(9), 3223;
    47. Peng Li, Ruisheng Wang, Yanxia Wang, Wuyong Tao, 2020. Evaluation of the ICP algorithm in 3D point cloud registration, IEEE Access, Volume: 8, Issue:1, pp: 68030-68048 (top 1% most-cited articles published in Geosciences in 2020).
    48. Wei Han, Ruisheng Wang, Daqing Huang, Cheng Xu，2020. Large-scale ALS Data Semantic Classification Integrating Location-Context-Semantics Cues by Higher-Order CRF, Sensors 2020, 20(6), 1700.
    49. Shaobo Xia, Dong Chen, Ruisheng Wang, Jonathan Li, Xinchang Zhang, 2020. Geometric Primitives in LiDAR Point Clouds: A Review. IEEE Selected Topics in Applied Earth Observations and Remote Sensing， Volume: 13, Issue:1, pages:685-707(top 1% most-cited articles published in Geosciences in 2020).
    50. Wuyong Tao, Xianghong Hua, Ruisheng Wang, Dong Xu, 2020. Quintuple Local Coordinate Images for Local Shape Description. Photogrammetric Engineering & Remote Sensing, Volume 86, Number 2, February 2020, pp. 121-132(12).
    51. Peng Li, Ruisheng Wang, Yanxia Wang, Ge Gao, 2020. Fast Method of Registration for 3D RGB Point Cloud with Improved Four Initial Point Pairs Algorithm. Sensors 2020, 20(1), 138.
    52. Peng Li, Ruisheng Wang, Yanxia Wang, Ge Gao, 2019. Automated Method of Extracting Urban Road Based on Region Growing from Mobile Laser Scanning Data. Sensors, 19(23), 5262.
    53. Shaobo Xia, Dong Chen and Ruisheng Wang, 2019. A Breakline-preserving Ground Interpolation Method for MLS Data. Remote Sensing Letters, Volume 10 Issue 12, Pages 1201-1210.
    54. Jiju Peethambaran, Amal Dev Parakkat, Andrea Tagliasacchi, Ruisheng Wang, and Ramanathan Muthuganapathy, 2019. ”Incremental Labeling of Voronoi Vertices for Shape Reconstruction“, Computer Graphics Forum, The Eurographics Association, and John Wiley & Sons Ltd., Volume 38, Number 1, pp. 521-536.
    55. Lei Xie, Ruisheng Wang, Zutao Ming and Dong Chen, 2019. A Layer-Wise Strategy for Indoor As-Built Modeling Using Point Clouds. Applied Sciences (2076-3417). 7/15/2019, Vol. 9 Issue 14, p2904-2904. 1p.
    56. Yang Liu, Ruisheng Wang, Xiaofei Ji, Yangyang Wang, 2019. Collaborative Sparse Coding with Smoothness Regularization for Hyperspectral Image Classification. Photogrammetric Engineering & Remote Sensing 85 (9), 659-672.
    57. Jianli Du, Dong Chen, Ruisheng Wang, Jiju Peethambaran, P. Takis Mathiopoulos, Lei Xie, and Ting Yun, 2019. A Novel Framework for 2.5D Building Contouring from Large-Scale Residential Scenes. IEEE Transactions on Geoscience and Remote Sensing, Volume: 57, Issue 6, Page(s): 4121 - 4145.
    58. S. Xia and R. Wang 2019. Facade Separation in Ground-based LiDAR Point clouds based on Edges and Windows. IEEE Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 12, Issue:3, March 2019, pp.1041-1052, DOI: 10.1109/JSTARS.2019.2897987.
    59. S. Xu and R. Wang, 2019. Power Line Extraction from Mobile LiDAR Point Clouds, IEEE Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 12, Issue:2, pp. 734-743, DOI: 10.1109/JSTARS.2019.2893967.
    60. S. Xia and R. Wang, 2019. Semi-automatic Construction of 2D Façade Footprints from Mobile LiDAR Data, IEEE Transactions on Geoscience and Remote Sensing， Volume: 57, Issue: 6, pp.1 - 16.
    61. S. Xia and R. Wang, 2018. Extraction of Residential Building Instances in Suburban Areas from Mobile LiDAR Data, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 144, October 2018, Pages 453-468.
    62. Lingfei Ma, Ying Li, Jonathan Li, Cheng Wang, Ruisheng Wang, Michael A. Chapman, 2018. Mobile Laser Scanned Point-clouds for Road Object Detection and Extraction: A Review. Remote Sens. 2018, 10(10), 1531; doi:10.3390/rs10101531（top 1% most-cited articles published in Geosciences in 2018）.
    63. W. Sun and R. Wang, 2018. Fully Convolutional Networks for Semantic Segmentation of Very High Resolution Remotely Sensed Images Combined with DSM, IEEE Geoscience and Remote Sensing Letters, Volume: 15, Issue: 3, pp 474-478 (9th most cited paper in IEEE Geoscience and Remote Sensing Letters 2018).
    64. R. Wang, J. Peethambaran, D. Chen, 2018. LiDAR Point Clouds to 3D Urban Models: A Review, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 11, Issue 2, pp 606-627 (Listed as one of the “Popular Articles” on J-STARS website on April 2018，top 1% most-cited articles published in Geosciences in 2018).
    65. R. Wang, L. Xie, D. Chen, 2017. Modeling Indoor Spaces via Decomposition and Reconstruction of Structural Elements, Photogrammetric Engineering and Remote Sensing， Vol. 83, No. 12, pp 23-37 (Talbert Abrams Award Second Honorable Mention, 2018, top 10% most-cited articles published in Geosciences in 2017).
    66. D. Chen, R. Wang, J. Peethambaran, 2017. Topologically-aware Building Rooftop Reconstruction from Airborne Laser Scanning Point Clouds, IEEE Transactions on Geoscience and Remote Sensing, Volume: 55, Issue:12, Page(s): 7032-7052 (top 10% most-cited articles published in Geosciences in 2017).
    67. S. Xia and R. Wang, 2017. A Fast Edge Extraction Method for Mobile LiDAR Point Clouds, IEEE Geoscience and Remote Sensing Letters, Volume: 14, Issue: 8, pp 1288-1292 (top 10% most-cited articles published in Geosciences in 2017).
    68. J. Peethambaran and R. Wang, 2017. Enhancing Urban Façades via LiDAR-based Sculpting, Computer Graphics Forum, DOI:10.1111/cgf.13097.
    69. S. Xu, R. Wang, H. Zheng, 2017. Road Curb Extraction from Mobile LiDAR Point Clouds, IEEE Transaction on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2016.2617819 (top 10% most-cited articles published in Geosciences in 2016).
    70. H. Zheng, R. Wang, S. Xu, 2017. Recognizing Street Lighting Poles from Mobile LiDAR Data, IEEE Transaction on Geoscience and Remote Sensing, VOL. 55, NO. 1, January 2017 (top 10% most-cited articles published in Geosciences in 2016).
    71. T. Yu and R. Wang, 2016. Scene Parsing using Graph Matching on Street-view Data, Computer Vision and Image Understanding, Volume 145, pages 70-80, DOI: 10.1016/j.cviu.2016.01.004.
    72. R. Wang, Y. Hu, H. Wu, J. Wang, 2016. Automatic extraction of building boundaries using aerial LiDAR data, Journal of Applied Remote Sensing 10(1), 016022. DOI: 10.1117/1.JRS.10.016022.
    73. J. Qiu and R. Wang, 2016. Automatic Extraction of Road Networks from GPS Traces, Photogrammetric Engineering & Remote Sensing, Vol.82, No.8, pp.593-604.
    74. J. Qiu and R. Wang, 2016. Road Map Inference: A Segmentation and Grouping Framework, ISPRS International Journal of Geo-Information, 5(8), 130; DOI: 10.3390/ijgi5080130.
    75. J. Qiu and R. Wang, 2016. Inferring Road Maps from Sparsely-Sampled GPS Traces, Journal of Location Based Services, DOI:10.1080/17489725.2016.1183053.
    76. R. Wang and FP Ferrie, 2015. Upsampling Method for Sparse Light Detection and Ranging Using Coregistered Panoramic Images, Journal of Applied Remote Sensing, 9(1), 095075 (2015). doi:10.1117/1.JRS.9.095075.
    77. R. Wang and F. Ferrie, 2015. Automatic Registration Method for Mobile LiDAR Data, Optical Engineering, 54(1), 013108 (Jan 27, 2015). doi:10.1117/1.OE.54.1.013108.
    78. J. Xu, R. Wang, S. Yue, 2014. A Bio-inspired Classifier for Road Extraction from Remote Sensing Imagery, Journal of Applied Remote Sensing 8(1), 083577. doi:10.1117/1.JRS.8.083577.
    79. J. Qiu, R. Wang, W. Li, 2014. Use of Rough Sets Theory in Point Cluster and River Network Selection. Journal of Geographic Information System 6 (03), 209-219.
    80. Wang, R., 2013. 3D Building Modeling Using Images and LiDAR: A Review. International Journal of Image and Data Fusion, Vol. 4, No. 4, pp. 273-292 (Invited Paper，top 10% most-cited articles published in Geosciences in 2013).
    81. Wang, R., F. Ferrie, and J. Macfarlane, 2012. A Method for Detecting Windows from Mobile LiDAR Data. Photogrammetric Engineering and Remote Sensing, Vol. 78, No. 11, pp.1129-1140.
    82. Wang, R., Y. Hu, and X. Zhang, 2005. Extraction of Urban Road Network Using QuickBird Pan-Sharpened Multispectral and Panchromatic Imagery. Geomatica, Vol. 59, No.3, pp.263-273.
  • Peer-reviewed Full Conference Papers
    1. Tsz Nam Chan, Bojian Zhu, Dingming Wu, Yun Peng, Leong Hou U, Wei Tu, Ruisheng Wang. A Fast Line Density Visualization Plugin for Geographic Information Systems, Proceedings of ACM Conference on Management of Data (SIGMOD), 2025.
    2. Yue Zhong, Tsz Nam Chan, Leong Hou U, Dingming Wu, Wei Tu, Ruisheng Wang, Joshua Zhexue Huang, 2025. A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2025).
    3. Zhiling Wang, Ruisheng Wang, Yujun Liu, Bo Guo, Tsz Nam Chan, Yibin Tian, 2025. Enhancing Few-Shot Point Cloud Semantic Segmentation via Superpoint Semantics. 2025 IEEE International Geoscience and Remote Sensing Symposium, 3 - 8 August 2025, Brisbane, Australia.
    4. Yujun Liu, Ruisheng Wang, Shangfeng Huang, GuoRong Cai, 2025. EdgeDiff: Edge-aware Diffusion Network for Building Reconstruction from Point Clouds. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR).5.
    5. Xinlin Wu, Yibin Tian, Yin Pan, Zhiyuan Zhang, Ruisheng Wang, Zhi Zeng, 2024. PVP-SSD: Point-Voxel Fusion with Partitioned Point Cloud Sampling for Anchor-Free Single-Stage Small 3D Object Detection. Pacific Graphics 2024, October 13-16, Huangshan, China.
    6. Hongxin Yang, Shangfeng Huang, Ruisheng Wang，2024. A Method For Roof Wireframe Reconstruction Based On Self-supervised Pretraining. ISPRS Technical Commission II Symposium, June 11-14, 2024, Las Vegas, Nevada.
    7. Siqi Du, Weixi Wang, Shengjun Tang, Ruisheng Wang, Renzhong Guo, 2024. AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic Segmentation. The IEEE Computer Vision and Pattern Recognition (CVPR) Workshop on Urban Scene Modeling: Where Vision Meets Photogrammetry and Graphics.
    8. Shangfeng Huang, Ruisheng Wang, Bo Guo, Hongxin Yang, 2024. PBWR: Parametric Building Wireframe Reconstruction from Aerial LiDAR Point Clouds. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR).
    9. Ruisheng Wang, Shangfeng Huang, Hongxin Yang, 2023. Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds. International Conference on Computer Vision (ICCV 2023).
    10. Perpertual Hope Akwensi, Ruisheng Wang, 2023. A reversible transformer for LiDAR point cloud semantic segmentation. The 20th Conference on Robots and Vision, Montreal, Quebec, June 6 - June 8, 2023.
    11. Perpetual Hope Akwensi, Ruisheng Wang, 2022. Attention-based Multi-scale Graph Convolution for Point Cloud Semantic Segmentation. IEEE IGARSS 2022, Kuala Lumpur, Malaysia, 17 - 22 July.
    12. Hongxin Yang, Hailun Yan, Ruisehng Wang, 2022. Bert-enhanced with Context-aware Embedding for Instance Segmentation in 3D Point Clouds. IEEE IGARSS 2022, Kuala Lumpur, Malaysia, 17 - 22 July.
    13. Xu, W., Long, C., Wang, R., & Wang, G. (2021). DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer. IEEE/CVF International Conference on Computer Vision (ICCV), oral (acceptance rate: 3%).
    14. T. Yu and R. Wang, 2016. “Enhancing Scene Parsing by Transferring Structures via Efficient Low-rank Graph Matching”, The 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Oct 31 - Nov 3, San Francisco Bay Area, California, USA (full paper acceptance rate 18%, 40 out of 217).
    15. Peethambaran, Jiju; Parakkat, Amal Dev; Muthuganapathy, Ramanathan; Tagliasacchi, Andrea; Wang, Ruisheng, 2018. Incremental Labeling of Voronoi Vertices for Shape Reconstruction, Computer Graphics Forum.
    16. T. Yu and R. Wang, 2016. “Graph Matching with Low-rank Regularization”, WACV 2016: IEEE Winter Conference on Applications of Computer Vision, March 7-9, Lake Placid, NY, USA (acceptance rate 42.3%).
    17. J. Qiu, R. Wang, and X. Wang 2014. Inferring Road Maps from Sparsely-Sampled GPS Traces, Proceedings of the 27th Canadian Conference on Artificial Intelligence, May 6-9, Montréal, Québec, Canada, pp. 339-344.
    18. R. Wang, F. Ferrie, and J. Macfarlane 2012. Automatic Registration of Mobile LiDAR and Spherical Panoramas, The IEEE Computer Vision and Pattern Recognition (CVPR) Workshop on Point Cloud Processing in Computer Vision, 16 June, Providence, Rhode Island (oral).
    19. R. Wang, J. Bach, J. Macfarlane, and F. Ferrie, 2012. A New Upsampling Method for Mobile LiDAR Data, IEEE Workshop on Applications of Computer Vision (WACV), Breckenridge, Colorado, Jan 9-11. (Accepted as complete oral, acceptance rate 8.5%, 12 out of 142 submissions).
    20. R. Wang, J. Bach, and F. Ferrie, 2011. Window Detection from Mobile LiDAR Data, IEEE Workshop on Applications of Computer Vision (WACV), Kona, Hawaii, Jan 5-7 (acceptance rate 46%).
    21. T. Pylvanainen, K. Roimela, R. Vedantham, J. Itaranta, R. Wang, R. Grzeszczuk, 2010. Automatic Alignment and Multi-View Segmentation of Street View Data using 3D Shape Priors, Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), Paris, France, May (Oral).
    22. X. Chen, M. Stroila, R. Wang, B. Kohlmeyer, N. Alwar, J. Bach, 2009. Next Generation Map Making: Geo-Referenced Ground-Level LIDAR Point Clouds for Automatic Retro-Reflective Road Feature Extraction. The 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information System, Seattle, USA, Nov. (acceptance rate 22%).
    23. Wang, R. and Ferrie, F.P., 2008. Camera Localization and Building Reconstruction from Single Monocular Images. The IEEE Computer Vision and Pattern Recognition (CVPR) Workshop on Visual Localization for Mobile Platforms, 28 June, Anchorage, Alaska (Oral).
  • Other Peer-reviewed Full Conference Papers (e.g., reviewed abstracts)
    1. Lu Dening, Xu Linlin, Ruisheng Wang, Li Jonathan, 2025. Exploring State Space Models in LiDAR Point Cloud Processing for Vegetation Coverage Assessment, ISPRS Archives, Geospatial Week 2025, Dubai, UAE (GSW 2025).
    2. Haowen Yan, Xiaomin Lu, Ruisheng Wang, Hailun Yan, 2022, Similarity-based principles in map generalization, in the Proceedings of FIG Congress 2022, September 11-15, 2022, Warsaw, Poland.
    3. Hailun Yan and Ruisheng Wang, 2022. Automated Building Extraction from Aerial Images with An Improved End-To-End Deep-Learning-Based Approach. The FIG Congress 2022, 11-15 September, Warsaw, Poland.
    4. L. Xie, and R. Wang, 2017. “Automatic indoor building reconstruction from mobile laser scanning data”, Indoor3D 2017, Sept 19-20, 2017, East Lake International Conference Center, Wuhan, Hubei, China (ZHIZHOU Best Poster Paper Award).
    5. S. Xia and R. Wang, 2017. “A Ground Removal Method for Mobile LiDAR Data”. The 25th International Conference on Geoinformatics, Aug 2-4, Buffalo, NY (extended abstract).
    6. S. Xu and R. Wang, 2016. “Boundary Depth Information Using Hopfield Neural Network”, Proceedings of XXIII ISPRS Congress, Prague, 12th July - 19th July.
    7. H. Zheng, R. Wang, F. Tan, 2016 “Pole-like Object Extraction from Mobile LiDAR Data”, Proceedings of XXIII ISPRS Congress, Prague, 12th July - 19th July.
    8. R. Wang, 2016. “Road Infrastructure Mapping from Mobile LiDAR Data”, International LiDAR Mapping Forum, FEBRUARY 22-24, Denver, Colorado, USA (Oral presentation with abstract).
    9. C. Hu, W. Wei, S. Qin, X. Wang, A. Habib, R. Wang, 2015. “Indoor Integrated Navigation and Synchronous Data Acquisition Method for Android Smartphone”, The International Conference on Optical Instruments and Technology (OIT’2015), 17-19 May, Beijing, China.
    10. Wang, R., and Ferrie, F.P., 2008. Self-Calibration and Metric Reconstruction from Single Images. The Proceedings of XXIth ISPRS Congress, 3-11 July, Beijing, China (Oral).
    11. Wang, R., Tao, V., and Ferrie, F.P., 2007. Non-rigid Space Resection by Parameterized Models, the 7th International Workshop of Geographical Information System (IWGIS’07), September 14-15, Beijing, China (Oral).
    12. Wang, R., G. Sohn, Tao, V., and Li, J. 2006. 3D Object Reconstruction from Non- georeferenced Monocular Imagery, ASPRS Annual Conference, May 1-5, Reno, Nevada, 12p. (Oral).
    13. Hu, Y., Wu, H., Wang, R., St-Onge, B., 2006. Locating targets under perspective projection with genetic algorithms and tabu search, ASPRS Annual Conference, 1-5 May, Reno, 12 p.
    14. Hu, Y., Gao, Y., St-Onge, B., Wang, R., 2006. Detection of multiple outliers by random robust testing, ASPRS Annual Conference, 1-5 May, Reno, 12 p.
    15. Wang, R., Hu, Y., and Tao, V., 2005. Comparison of Rational Function Model-Based 3D Reconstruction Algorithms, 13th International Conference on Geoinformatics, 17- 19 August, Toronto, Canada (Oral).
    16. Hu, Y., Xia, W., Hu, X., and Wang, R., 2005. Object Recognition Through Template Matching Using an Adaptive and Robust Hausdorff Distance. ASPRS Annual Conference, 7-11 March 2005, Baltimore, 12 p.
    17. Zhang, Y. and Wang, R., 2004. Multi-Resolution and Multi-Spectral Image Fusion for Urban Object Extraction. Proceedings of XXth ISPRS Congress, Commission III, 12- 24 July 2004, Istanbul, Turkey, pp. 960-966. (Best Poster Award)
    18. Wang, R. and Y. Zhang, 2003. Semi-Automated Road Extraction from QuickBird Imagery. ISPRS Joint Workshop on Spatial-Temporal and Multi-Dimensional Data Modeling and Analysis, October, 2-3, 2003, Quebec, Canada (Oral).
    19. Wang, R. and Y. Zhang, 2003. Extraction of Urban Road Network Using QuickBird Pan-Sharpened Multispectral and Panchromatic Imagery by Performing Edge-aided Post-Classification. ISPRS Joint Workshop on Spatial-Temporal and Multi-Dimensional Data Modeling and Analysis, October, 2-3, 2003, Quebec, Canada (Oral).
  • Peer-reviewed Book Chapter/Entry
    1. Wang, R. 2016. Ground Based LiDAR. In The International Encyclopedia of Geography, edited by Douglas Richardson. Malden, Oxford: John Wiley and Sons, Ltd.