
Name:Fan Shi
Title:Professor
Type of tutor:Doctoral supervisor, master's supervisor
Email:shifan@email.tjut.edu.cn
Address:College of Computer Science and Engineering, Tianjin University of Technology, Binshui West Road, Xiqing District, Tianjin.
Telephone:0086-22-60215678

I am currently a Professor at Tianjin University of Technology, Tianjin, China. I have authored more than 70 articles as a first author or co-author in the areas of my research interests, which include machine vision, pattern recognition, and optics.

Machine Vision
Pattern Recognition

[1] “Feature Analysis of Scene Motion Based on 4D Light Field Modeling,” National Natural Science Foundation of China (PI), 2023.01–2026.12.
[2] “Visual Perception and Unmanned System Applications for Complex Scenes,” Tianjin Science and Technology Plan Project, Tianjin Distinguished Young Scholars Fund (PI), 2023.10–2027.09.
[3] “Construction of the Tianli Smart Agriculture Inspection Zhongke Joint Research Center,” Tianjin Science and Technology Plan Project, China–Foreign Joint Research Program (PI), 2024.10–2026.09.
[4] “Intelligent Robotic System with Embedded Visual Knowledge,” Basic Strengthening Program, Key Special Project (PI), 2021.01–2024.01.
[5] “Evaluation Module for UAV Active Behavior Recognition Capability,” Beijing Institute of Scientific and Technological Innovation, Commissioned Technology Project (PI), 2021.11–2022.01.
[6] “Task-Driven Active Visual Perception for Marine Environmental Monitoring and Rescue,” National Natural Science Foundation of China, 2021.01–2025.12.

[1] Chen Jia, Hui Liu, Fan Shi*, Xu Cheng, Shengyong Chen, Pioneering Video Semantic Segmentation with Light Field Imaging and Spatial-Angular Temporal Fusion, IEEE Transactions on Circuits and Systems for Video Technology, 2026.
[2] Mianzhao Wang, Fan Shi*, Xu Cheng, Shengyong Chen, Prior Knowledge-Driven Hybrid Prompter Learning for RGB-Event Tracking, IEEE Transactions on Circuits and Systems for Video Technology, 2025, 35(9):8679-8691.
[3] Xu Cheng, Fan Shi*, Yao Zhang, Huan Li, Xiufeng Liu, Shengyong Chen, FRAME: Feature Rectification for Class Imbalance Learning, IEEE Transactions on Knowledge and Data Engineering, 2025, 37(3):1167-1181.
[4] Xinbo Geng, Fan Shi*, Xu Cheng, Chen Jia, Meng Zhao, Shengyong Chen, LFMamba: Focal Stack-aware State Space Modeling for Light Field Salient Object Detection, ACM International Conference on Multimedia, 2025, 2074-2083.
[5] Chen Jia, Fan Shi*, Xiufeng Liu, Xu Cheng, Zixuan Zhang, Meng Zhao, Prompt Learning for Light Field Semantic Segmentation in the Consumer-centric Internet of Intelligent Computing Things, IEEE Transactions on Consumer Electronics, 2024, 70(3): 5493-5505.
[6] Xu Cheng, Tian He, Fan Shi*, Meng Zhao, Xiufeng Liu, Shengyong Chen, Selective Feature Fusion and Irregular-Aware Network for Pavement Crack Detection, IEEE Transactions on Intelligent Transportation Systems, 2024, 25(5):3445-3456.
[7] Mengna Liu, Xu Cheng, Fan Shi*, Xiufeng Liu, Hongning Dai, Shengyong Chen, A Prototype-Empowered Kernel-Varying Convolutional Model for Imbalanced Sea State Estimation in IoT-Enabled Autonomous Ship, IEEE Transactions on Sustainable Computing, 2024, 9(6):862-873.
[8] Yifan Yin, Xu Cheng*, Fan Shi*, Xiufeng Liu, Huan Huo, Shengyong Chen, High-Order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-Based Small Ship Detection, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:4201416.
[9] Mianzhao Wang, Fan Shi*, Xu Cheng, Meng Zhao, Yao Zhang, Chen Jia, Weiwei Tian, Shengyong Chen*, LFBCNet: Light Field Boundary-aware and Cascaded Interaction Network for Salient Object Detection, ACM International Conference on Multimedia, 2022, 3430-3439.
[10] Shuxin Li, Xu Cheng*, Fan Shi*, Hanwei Zhang, Hongning Dai, Houxiang Zhang, A Novel Robustness-Enhancing Adversarial Defense Approach to AI-Powered Sea State Estimation for Autonomous Marine Vessels, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(1):28-42.
[11] Xu Cheng, Kexin Wang, Xiufeng Liu, Qian Yu, Fan Shi*, Zhengru Ren, A Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation, IEEE Transactions on Intelligent Transportation Systems, 2023, 24(12):15907-15919.
[12] Dongtian Zhang, Weiwei Tian, Xu Cheng, Fan Shi*, Hong Qiu, Xiufeng Liu, FedBIP: A Federated Learning-Based Model for Wind Turbine Blade Icing Prediction, IEEE Transactions on Instrumentation and Measurement, 2023, 72:1-11.
[13] Xu Cheng, Weiwei Tian, Fan Shi*, Meng Zhao, Shengyong Chen, Hao Wang*, A Blockchain-Empowered Cluster-based Federated Learning Model for Blade Icing Estimation on IoT-enabled Wind Turbine, IEEE Transactions on Industrial Informatics, 2022, 18(12): 9184-9195.
[14] Xu Cheng, Fan Shi*, Meng Zhao, Guoyuan Li, Houxiang Zhang, Shengyong Chen*, Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades, IEEE Transactions on Industrial Electronics, 2022, 69(6): 6371-6380.
Mianzhao Wang, Fan Shi*, Meng Zhao, Chen Jia, Weiwei Tian, Tian He, An Online Multiobject Tracking Network for Autonomous Driving in Areas Facing Epidemic, IEEE Transactions on Intelligent Transportation Systems, 2022, 23(12): 25191-25200.

Digital Logic(Undergraduate)
Engineering Ethics(Graduate)