Hanqing Sun

Hanqing Sun

Engineer at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, focusing on remote sensing, object detection, and 3D vision.

Biography

Hanqing Sun is an engineer at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China. He received his Ph.D. degree in Information and Communication Engineering from Tianjin University in 2023. His current research interests include remote sensing image interpretation, object recognition, and 3D vision.

Recent projects

  • National Natural Science Foundation of China (NSFC), Key Program, Grant 62535017, Vegetation wide-angle spectral multimode computational imaging and information representation, 2026-01-01 to 2030-12-31, Participant.

  • Science and Technology Development Plan Project of Jilin Province, China, Young and Mid-Career Scientific and Technological Innovation Talent (Team) Development Program, Spatial Vision Intelligent Perception Team, 2026-01-01 to 2027-12-31, Principal Participant.

  • Institutional Innovation Fund, International Fund, Grant Y5Y067, Scene Perception and Semantic Understanding of Remote Sensing Vehicle Objects, 2026-01 to 2027-12, PI.

  • CIOMP Innovation Fund, CIOMP-FDU Collaboration Fund, Fundamental model for image reconstruction beyond physical limits, 2025-08-01 to 2027-07-31, Core Researcher.

  • Sensors Special Issue Guest Editor, Image processing and visual recognition for adverse weather sensing and monitoring, 2025-08-22 to 2026-05-31, Second Editor. [Detail]

  • National Natural Science Foundation of China (NSFC), Young Scientists Program (Type C), Grant 62401538, Unified spatio-temporal encoding based object detection in asynchronous multi-sensor remote sensing images, 2025-01-01 to 2027-12-31, PI.

  • National Natural Science Foundation of China (NSFC), General Program, Grant 62475255, Time sensitive object detection and tracking in low-quality remote sensing images driven by a combination of physics and data, 2025-01-01 to 2028-12-31, Participant.

  • Changchun Bureau of Science and Technology, Distinguished Young Scholars, Grant 23JQ01, Intelligent processing technologies on satellites, 2023-11 to 2025-10, Principal Participant.

  • Jilin Provincial Association for Science and Technology, Support Project for Young Talent of Science and Technology, Grant QT202306, 2023-09 to 2025-12, Participant.

Recent publications

  • Cui Minghao, Nie Jing, Sun Hanqing, Xie Jin, Cao Jiale, Pang Yanwei, Li Xuelong. Multispectral remote sensing object detection via selective cross-modal interaction and aggregation. Neural Networks, 2025: 108533. [Detail]

  • Li Ge, Sun Hanqing, Yang Aiping, Cao Jiale, Pang Yanwei. Motion Expressions Guided Video Segmentation Via Effective Motion Information Mining. IEEE Transactions on Emerging Topics in Computational Intelligence, 2025, 9(5): 3712-3718. [Detail]

  • Li Ge, Cao Jiale, Sun Hanqing, Anwer Rao M., Xie Jin, Khan Fahad, Pang Yanwei. Video instance segmentation without using mask and identity supervision. IEEE Transactions on Multimedia, 2025, 27: 224-235. [Detail]

  • Sun Hanqing, Pang Yanwei, Cao Jiale, Xie Jin, Li Xuelong. Transformer-based stereo-aware 3D object detection from binocular images. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(12): 19675-19687. [Detail]

  • Nie Jing, Xie Jin, Sun Hanqing. Remote sensing image dehazing via a local context-enriched Transformer. Remote Sensing, 2024, 16(8): 1422. [Detail]

  • Wang Jiabei, Pang Yanwei, Cao Jiale, Sun Hanqing, Shao Zhuang, Li Xuelong. Deep intra-image contrastive learning for weakly supervised one-step person search. Pattern Recognition, 2024, 147: 110047. [Detail]

  • Sun Hanqing, Han Jungong, Pang Yanwei, Li Xuelong. Supervised biadjacency networks for stereo matching. Multimedia Tools and Applications, 2023, 83(4): 10247-10272. [Detail]

  • Sun Hanqing, Cao Jiale, Pang Yanwei. Semantic-aware self-supervised depth estimation for stereo 3D detection. Pattern Recognition Letters, 2023, 167: 164-170. [Detail]