Xingguang Zhong
PhD Student Contact:Email: zhong@nulligg.uni-bonn.de
Tel: +49 – 228 – 73 – 29 01
Office: Nussallee 15, EG, room 0.013
Address:
University of Bonn
Photogrammetry, IGG
Nussallee 15
53115 Bonn

Profiles: Google Scholar | Github
Research Interests
- SLAM
- Computer Vision
- Robot Navigation
Short CV
Xingguang Zhong is a PhD student at the Photogrammetry & Robotics Lab at the University of Bonn since November 2021. He received his Master’s degree in mechatronics engineering and Bachelor’s degree in mechanical engineering.
Publications
2025
- Y. Pan, X. Zhong, L. Jin, L. Wiesmann, M. Popović, J. Behley, and C. Stachniss, “PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map,” in Proc. of Robotics: Science and Systems (RSS), 2025.
[BibTeX] [PDF] [Code]@inproceedings{pan2025rss, author = {Y. Pan and X. Zhong and L. Jin and L. Wiesmann and M. Popovi\'c and J. Behley and C. Stachniss}, title = {{PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map}}, booktitle= rss, year = 2025, codeurl = {https://github.com/PRBonn/PINGS}, }
- L. Jin, X. Zhong, Y. Pan, J. Behley, C. Stachniss, and M. Popović, “ActiveGS: Active Scene Reconstruction Using Gaussian Splatting,” IEEE Robotics and Automation Letters (RA-L), vol. 10, iss. 5, p. 4866–4873, 2025. doi:10.1109/LRA.2025.3555149
[BibTeX] [PDF] [Code]@article{jin2025ral, author = {L. Jin and X. Zhong and Y. Pan and J. Behley and C. Stachniss and M. Popovi\'c}, title = {{ActiveGS: Active Scene Reconstruction Using Gaussian Splatting}}, journal = ral, year = {2025}, volume = {10}, number = {5}, pages = {4866--4873}, issn = {2377-3766}, doi = {10.1109/LRA.2025.3555149}, codeurl = {https://github.com/dmar-bonn/active-gs}, }
- H. Kuang, Y. Pan, X. Zhong, L. Wiesmann, J. Behley, and C. Stachniss, “Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2025.
[BibTeX] [PDF] [Code]@inproceedings{kuang2025icra, author = {H. Kuang and Y. Pan and X. Zhong and L. Wiesmann and J. Behley and Stachniss, C.}, title = {{Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation}}, booktitle = icra, year = {2025}, codeurl = {https://github.com/PRBonn/enm-mcl} }
2024
- Y. Pan, X. Zhong, L. Wiesmann, T. Posewsky, J. Behley, and C. Stachniss, “PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency,” IEEE Trans. on Robotics (TRO), vol. 40, p. 4045–4064, 2024. doi:10.1109/TRO.2024.3422055
[BibTeX] [PDF] [Code]@article{pan2024tro, author = {Y. Pan and X. Zhong and L. Wiesmann and T. Posewsky and J. Behley and C. Stachniss}, title = {{PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency}}, journal = tro, year = {2024}, pages = {4045--4064}, volume = {40}, doi = {10.1109/TRO.2024.3422055}, codeurl = {https://github.com/PRBonn/PIN_SLAM} }
- X. Zhong, Y. Pan, C. Stachniss, and J. Behley, “3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation,” in Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024. doi:10.1109/CVPR52733.2024.01460
[BibTeX] [PDF] [Code] [Video]@inproceedings{zhong2024cvpr, author = {X. Zhong and Y. Pan and C. Stachniss and J. Behley}, title = {{3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation}}, booktitle = cvpr, year = 2024, doi = {10.1109/CVPR52733.2024.01460}, codeurl = {https://github.com/PRBonn/4dNDF}, videourl = {https://youtu.be/pRNKRcTkxjs} }
2023
- X. Zhong, Y. Pan, J. Behley, and C. Stachniss, “SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
[BibTeX] [PDF] [Code] [Video]@inproceedings{zhong2023icra, author = {Zhong, Xingguang and Pan, Yue and Behley, Jens and Stachniss, Cyrill}, title = {{SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations}}, booktitle = icra, year = 2023, codeurl = {https://github.com/PRBonn/SHINE_mapping}, videourl = {https://youtu.be/jRqIupJgQZE} }