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个人简介 雷杰博士现任浙江工业大学计算机学院讲师，硕士生导师。2018年6月毕业于浙江大学计算机学院计算机科学与技术专业，2018年7月至2020年7月在浙江大学计算机学院开展博士后研究工作，2020年7月起加入浙江工业大学计算机学院。从事计算机视觉领域的研究工作，主要研究方向包括模型重组、优化及可解释性，人脸表情识别，小样本目标识别/分割等。目前主持并参与多项国家级省部级项目，发表包括30余篇国际会议及期刊，如IEEE Transactions on Circuits and Systems for Video Technology、NeurIPS、AAAI、ECCV、ICME等。 教学与课程 Python应用开发基础，数据结构 科研项目 [1]  面向互联网视频的小样本敏感目标检测（62106226），国家自然科学基金项目青年基金项目，2022.01.-2024.12，主持[2] 基于动态视觉先验和边界语义迁移的视频目标分割（LQ22F020013），浙江省自然科学基金项目探索项目，2022.01-2024.12，主持[3] 多模态特征融合的自闭症教育机器人情感社交智能感知模型及应用研究（62177043），国家自然科学基金项目面上项目，2022.01.-2025.12，参与[4] 面向跨设备多场景视频理解的可视分析技术研究（62036009），国家自然科学基金重点项目，2021.01-2025.12，参与[5] 面向糖尿病视网膜病变筛查的域泛化方法研究（62376251），国家自然科学基金项目面上项目，2024.01-2027.12, 参与[6] 多源跨模态数据的主动感知与高效筛选方法（LDT23F02021F02），省自然科学基金-重大项目-创新群体项目，2023.01-2025.12, 参与 科研成果 主要研究方向：小样本检测/分割，模型归因与优化，多模态学习。[1]. Guoyu Yang, Jie Lei*, Hao Tian, Zunlei Feng, Ronghua Liang. Asymptotic Feature Pyramid Network for Labeling Pixels and Regions. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. [2]. Jiaxin Qiu, Guoyu Yang, Jie Lei*, Zunlei Feng, Ronghua Liang. Asymptotic Feature Pyramid Network for Labeling Pixels and Regions. International Conference on Multimedia and Expo (ICME), 2024. [3]. Lin Chen, Zhijie Jia, Lechao Cheng, Yang Gao, Jie Lei, Yijun Bei, Zunlei Feng. ViT-Calibrator: Decision Stream Calibration for Vision Transformer. The AAAI Conference on Artificial Intelligence (AAAI), 2024. [4]. Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song. Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-denied Scenarios. The AAAI Conference on Artificial Intelligence (AAAI), 2024. [5]. Xing Zhao, Haoran Liang, Peipei Li, Guodao Sun, Dongdong Zhao, Ronghua Liang, Xiaofei He. Motion-aware Memory Network for Fast Video Salient Object Detection, IEEE Transactions on Image Processing, 2024.[6]. Jie Lei, Guoyu Yang, Shuaiwei Wang, Zunlei Feng, Ronghua Liang. Category-Aware Feature Attribution for Self-Optimizing Medical Image Classification. Displays, 77 2023.[7]. Jie Lei, Guoyu Yang, Shuaiwei Wang, Zunlei Feng, Ronghua Liang. DCAM: Disturbed Class Activation Maps for Weakly Supervised Semantic Segmentation. Journal of Visual Communication and Image Representation (JVCI), 94, 2023.[8]. Shengxuming Zhang, Tianqi Shi, Yang Jiang, Xiuming Zhang, Jie Lei, Zunlei Feng, Mingli Song. A Loopback Network for Explainable Microvascular Invasion Classification. IEEE Conforence on Computer Vision and Pattern Recognition (CVPR), 2023.[9]. Guoyu Yang, Jie Lei*, Zhikuan Zhu, Siyu Cheng, Zunlei Feng, Ronghua Liang. AFPN: Asymptotic Feature Pyramid Network for Object Detection. International Conference on Systems, Man, and Cybernetics (SMC), 2023.[10]. Wentao Han, Jie Lei*, Fahong Wang, Zunlei Feng, Ronghua Liang. Temporal Aggregation with Context Focusing for Few-shot Video Object Detection. International Conference on Systems, Man, and Cybernetics (SMC), 2023.[11]. Jie Lei, Zhao Liu, Tong Li, Zeyu Zou, Zunlei Feng, Juan Xu, Xuan Li, Ronghua Liang. Enhanced Dual-Level Representations for Facial Expression Recognition. International Conference on Image Processing (ICIP), 2022.[12]. Jie Lei, Zhao Liu, Mingli Song, Juan Xu, Jianping Shen, Ronghua Liang. Flexible Knowledge Distillation with an Evolutional Network Population. International Conference on Multimedia and Expo (ICME), 2021. [13]. Jie Lei, Zhao Liu, Zeyu Zou, Tong Li, Juan Xu, Zunlei Feng, Jianping Shen, Ronghua Liang. Facial Expression Recognition by Expression-Specific Representation Swapping. International Conference on Artificial Neural Networks (ICANN), 2021.[14]. Lechao Cheng, Zunlei Feng, Xinchao Wang, Yajie Liu, Jie Lei, Mingli Song. Boundary Knowledge Translation based Reference Semantic Segmentation. International Joint Conferences on Artificial Intelligence (IJCAI), 2021.[15]. Zunlei Feng, ZhonghuaWang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song. Edge-competing Pathological Liver Vessel Segmentation with Limited Labels.The AAAI Conference on Artificial Intelligence (AAAI), 2021.[16]. Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song, Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image, ICCV 2021.[17]. Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song. One-sample Guided Object Representation Disassembling. Neural Information Processing Systems (NeurIPS), 2020.[18]. Jie Lei, Qiao Luan, Xinhui Song, Mingli Song. Action Parsing-Driven Video Summarization Based on Reinforcement Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019, 29(7): 2126-2137.[19]. Jie Lei, Zhe Wang, Zunlei Feng, Mingli Song, Jiajun Bu. Understanding the Prediction Process of Deep Networks by Forests. IEEE International Conference on Multimedia Big Data (BigMM), 2018.[20]. Jie Song, Chengchao Shen, Jie Lei, An-Xiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song. Selective Zero-Shot Classification with Augmented Attributes. The European Conference on Computer Vision (ECCV), 2018.[21]. 雷杰, 高鑫, 宋杰, 王兴路, 宋明黎. 深度网络模型压缩综述. 软件学报, 2018, 29(2): 21-266.[22]. Jie Lei, Xin Gao, Zunlei Feng, Huamou Qiu, Mingli Song. Scale Insensitive and Focus Driven Mobile Screen Defect Detection in Industry. Neurocomputing, 2018, 294: 72-81.