• Qiang Fang(方强)

    Associate Professor

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    Publications

    • Shuohao Shi, Qiang Fang*, Xin Xu and Dezun Dong, “Multiscale Gaussian Attention Mechanism for Tiny Object Detection in Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing (TGRS, 中科院1区TOP, CCF-B), 2025 .
    • Shuohao Shi, Qiang Fang* and Xin Xu, “Joint Optimization Loss Function for Tiny Object Detection in Remote Sensing Images,” Remote Sensing (中科院2区), 2025 .
    • Tong Zhao, Yujun Zeng, Qiang Fang*, Xin Xu and Haibin Xie, “Semi-supervised Object Detection for Remote Sensing Images Using Consistent Dense Pseudo Labels,” Remote Sensing (中科院2区), 2025 .
    • Tong Zhao, Qiang Fang* and Xin Xu, “Denser Teacher: Rethinking Dense Pseudo-Label for Semi-supervised Oriented Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT, 中科院1区TOP, CCF-B),2024 .
    • Yixing Lan, Hao Gao, Xin Xu*, Qiang Fang* and Yujun Zeng, “SMART: Sequential Multi-Agent Reinforcement Learning with Role Assignment using Transformer,” IEEE Transactions on Cognitive and Developmental Systems (TCDS, 学科高水平期刊),2024 .
    • Shuohao Shi, Qiang Fang#*, Tong Zhao, and Xin Xu, “Similarity Distance-Based Label Assignment for Tiny Object Detection,” IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS2024 (Oral! 机器人领域顶会，CCF-C). [PDF] [Code]
    • Tong Zhao, Qiang Fang*, Shuohao Shi, and Xin Xu, “Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection,” IEEE International Conference on Image Processing, ICIP2024 (Poster! 图像处理领域顶会，CCF-C). [PDF] [Code]
    • Yixin Lan, Xin Xu*, Qiang Fang* and Jianye Hao, “Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction,” IEEE Transactions on Neural Networks and Learning Systems (TNNSL, 中科院1区TOP, CCF-B),2023.
    • Junkai Ren, Yixing Lan, Xin Xu*, Yichuan Zhang, Qiang Fang* and Yujun Zeng, “Deep reinforcement learning using least-squares truncated temporal-difference,” CAAI Transactions on Intelligence Technology (中科院1区TOP),2023. [PDF]
    • Yixin Lan, Xin Xu*, Qiang Fang , Yunjun Zeng, Xinwang Liu and Xianjian Zhang, “Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees,” Knowledge-Based Systems (KBS, 中科院1区TOP, CCF-C),2022.
    • Qiang Fang*, Xin Xu, Xitong Wang and Yujun Zeng, “Target-driven visual navigation in indoor scenes using reinforcement learning and imitation learning,” CAAI Transactions on Intelligence Technology (中科院1区TOP),7(2): 167-176,2022. [PDF]
    • Qiang Fang*, Xin Xu, Dengqing Tang, “Loss-based active learning via double-branch deep network,” International Journal of Advanced Robotic Systems,18(5):1–11,2021. [PDF]
    • Dengqing Tang, Qiang Fang, Lincheng Shen, Tianjiang Hu, “Onboard Detection-Tracking-Localization,” IEEE/ASME Transactions on Mechatronics (TMECH, 中科院1区TOP, CCF-B),25(3): 1555-1565, 2020. [PDF]
    • Qiang Fang, Daibing Zhang, Tianjiang Hu, “Vision-aided localization and navigation based on trifocal tensor geometry,” International Journal of Micro Air Vehicles,9(4):306-317,2017. [PDF]