时光，男，计算机科学与技术系副教授，硕士生导师，数学专业理学博士，统计学科博士后，香港中文大学访问学者。《西北大学学报（自然科学版）》青年编委。

主要研究方向：深度学习，空气污染时空建模、目标检测（弱光图像、遥感图像）、道路拓扑结构检测，3D人体姿态估计。

入职以来，指导学生获第二十二届中国研究生数学建模竞赛国家级二等奖、首届全国大学生"数智素养"案例创意设计大赛全国三等奖等多项国家级、省级、校级竞赛奖项，指导省级大学生创新创业训练项目2项。

近年发表论文

[1]Guang Shi, Jiaxing Yu, Shukai Li, Kaibing Zhang, Dinghua Xue, Pengfang Li, Minna Xiao, Shuyun Yang: Dynamic spatiotemporal air quality modeling with local and sparse spatial fusion and structured temporal modeling. Information Sciences, 750: 123560 (2026). (TOP期刊，新锐分区1区，影响因子：6.8)

[2]Guang Shi,Wanting Xiang, Dinghua Xue, Pengfang Li: SGHE-Net: Geometry-aware Spatial-Graph Hybrid Network for Road Topology Extraction from Remote Sensing Imagery. Pattern Recognition and Computer Vision (PRCV), (2026, CCFC类会议已录用).

[3]Guang Shi, Yee Leung, Kaibing Zhang, Dinghua Xue, Hongyu Shi, Shuyun Yang, Yu Zhou: An interpretable spatiotemporal method with a composite attention mechanism for the prediction of air pollution with stable and dynamic spatial relationships. Expert Systems with Applications, 302: 130521 (2025). (TOP期刊，中科院1区，影响因子：7.5)

[4]Xiaofeng Wu,Guang Shi*, Xin He, Dinghua Xue, Kaibing Zhang: CAP-Shift: Domain Adaptive Nighttime Object Detection via Illumination Degradation and Confidence-Adaptive Pseudo Labeling. Pattern Recognition and Computer Vision (PRCV), Singapore: SpringerNature Singapore, 457-471 (2025). (CCF C类会议)

[5]Guang Shi, Yee Leung, Jiangshe Zhang, Yu Zhou: Modeling the air pollution process using a novel multi-site and multi-scale method with adaptive utilization of spatio-temporal information. Chemosphere, 349: 140799 (2024). (EI期刊)

[6]Guang Shi,Yee Leung, Jiangshe Zhang, Tung Fung, Fang Du, Yu Zhou: A novel method for identifying hotspots and forecasting air quality through an adaptive utilization of spatio-temporal information of multiple factors.Science of The Total Environment,759:14513 (2021). (TOP期刊，中科院2020升级版1区，影响因子：7.963)

[7]Guang Shi,Jiangshe Zhang, Junming Liu, Chunxia Zhang, Changsheng Zhou and Shuyun Yang: Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images.IEEE Transactions on Geoscience and Remote Sensing,59(12): 10604-10617 (2021). (TOP期刊，中科院2区，影响因子：5.6)

[8]Guang Shi,Jiangshe Zhang, Chunxia Zhang, Junying Hu: A distributed parallel training method of deep belief networks.Soft Computing, 24: 13357–13368 (2020). (中科院3区，影响因子：3.643)

[9]Guang Shi,Jiangshe Zhang, Nannan Ji, Changpeng Wang: A New Variant of Restricted Boltzmann Machine with Horizontal Connections.Neural Computing and Applications, 31(10): 6521-6533 (2019). (中科院2区，影响因子：5.606)

[10]Guang Shi,Jiangshe Zhang, Huirong Li, Changpeng Wang: Enhance the performance of deep neural networks via L2 regularization on the input of activations.Neural Processing Letters, 50(1): 57-75 (2019). (中科院3区，影响因子：2.908)

主持的主要科研项目：

[1]融合物理机理的空气污染多尺度时空智能建模方法研究（国家自然科学基金面上项目，2026.01-2029.12）

[2]基于相关关系信息增强的遥感图像小目标快速检测算法研究(国家自然科学基金青年项目, 2022.1—2024.12）

[3]基于空间注意力与有效感受野匹配的遥感图像小目标自监督检测算法（陕西省自然科学基础研究计划青年项目，2018.1—2020.12）

授权专利：

[1]一种基于注意力机制的遥感图像目标检测方法,专利号：ZL 201910457637.6，证书号第4512216号，授权公告号:CN110276269 B

[2]一种基于贝叶斯迁移学习的光学遥感图像目标检测方法，专利号：ZL 201910457619.8，证书号第4612467号，授权公告号:CN 110245587 B

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