独播库

师资队伍

专任教师

职称:讲师

学科:计算机科学与技术

邮箱:[email protected]

个人简介

黄哲,工学博士,毕业于中国人民大学。2025年加入独播库 ,任职讲师,曾作为项目骨干参与国家自然科学基金面上,公安部重点实验室课题等多项国家级项目与课题的研究与组织工作。2023年至2024年赴澳大利亚的University of Wollongong进行交换与学习, 研究内容涉及3D激光雷达检测,多车协同感知,端到端自动驾驶等领域。 在国际会议或顶级期刊如CVPR,ACM MM,ICRA,ADVEI (中科院一区Top)等发表多篇论文。与中国人民大学,北京航空航天大学,中国科学院自动化研究所,University of Wollongong等多个课题组建立了广泛的合作研究。

教育背景

2014-2018,山东建筑大学,工学学士

2018-2021,中国科学院大学,工学硕士

2023-2024,University of Wollongong(CSC公派交换)

2021-2025,中国人民大学,工学博士

工作经历

2025.08-至今,独播库


研究领域

3D目标检测与跟踪,多智能体协同感知,自动驾驶,计算机视觉

代表性学术成果(代表性项目、论文等)

[1] Huang, Z., Wang, S., Wang, Y., Li, W., Li, D. and Wang, L., 2024, October. Roco: Robust cooperative perception by iterative object matching and pose adjustment. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 7833-7842). (ACM MM, CCF-A)

[2] Huang, Z., Wang, Y., Li, D., Han, Y. and Wang, L., 2025. Collaborative 3D object detection by smart vehicles considering semantic information and agent heterogeneity. Advanced Engineering Informatics, 65, p.103351. (中科院一区Top)

[3] Huang, Z., Wang, Y., Wen, J., Wang, P. and Cai, X., 2023. An object detection algorithm combining semantic and geometric information of the 3D point cloud. Advanced Engineering Informatics, 56, p.101971. (中科院一区Top)

[4] 黄哲, 王永才 and 李德英, 2023. 3D 目标检测方法研究综述. Chinese Journal of Intelligent Science & Technology, 5(1). (中文核心)

[5] Huang, Z., Wang, Y., Tang, X. and Sun, H., 2023, June. Boundary-aware set abstraction for 3D object detection. In 2023 International Joint Conference on Neural Networks (IJCNN) (pp. 01-07). IEEE.

[6] Wang, S., Li, W., Wang, Y., Fan, Z., Huang, Z., Cai, X., Zhao, J. and Li, D., 2025. MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing. In Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 1252-1262). (CVPR, CCF-A)

[7] Wang, S., Wang, Y., Xu, Z., Guo, Y., Li, W., Huang, Z., Bai, X. and Li, D., 2024, October. Gslamot: A tracklet and query graph-based simultaneous locating, mapping, and multiple object tracking system. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 7239-7248).(ACM MM, CCF-A)

[8] Cai, X., Wang, Y., Huang, Z., Shao, Y. and Li, D., 2024, May. Voloc: Visual place recognition by querying compressed lidar map. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 10192-10199). IEEE. (ICRA, CCF-B)

[9] Sun, H., Wang, Y., Cai, X., Wang, P., Huang, Z., Li, D., Shao, Y. and Wang, S., 2022. Airbirds: A large-scale challenging dataset for bird strike prevention in real-world airports. In Proceedings of the Asian Conference on Computer Vision (pp. 2440-2456). (ACCV, CCF-C)


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