林中琦 特聘副研究员 |
发布时间:
2023-02-17
15:50
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吉瑞大厦7楼 【开设课程】 数据库结构原理,操作系统 【研究方向】 计算机视觉,模式识别 【Email】 【教育背景】 2018年9月-2022年6月,中国农业大学工学博士 2015年9月-2018年6月,山东农业大学工学硕士 2011年9月-2015年6月,山东农业大学工学学士 【工作经历】 2022年8月至今,浙大城市学院计算学院教师 【教学与课程】 1、数据库结构原理 2、操作系统 【研究与成果】 1、科研项目 主要参与:国家自然科学基金,重力场对尘埃等离子体中颗粒生长过程及系统时空演化的影响,12075315 2、代表性论文成果 [1]. Z. Lin, W. Gao, J. Jia, F. Huang, CapsNet meets ORB: A Deformation-tolerant Baseline for Recognizing Distorted Targets, International Journal of Intelligent Systems, 2021.10, 1–42. [2]. Z. Lin, W. Gao, F. Huang,J. Jia, Increasingly Specialized Generative Adversarial Network for Fine-grained Visual Categorization, Knowledge-based Systems, Volume 232, 28 November 2021, 107480. [3]. Z. Lin, J. Jia, F. Huang, W. Gao, Feature Correlation-Steered Capsule Network for Object Detection, Neural networks, Vol. 147, Mar. 2022, pp: 25-41. [4]. Z. Lin, J. Jia, W. Gao, F. Huang, Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections, Neurocomputing. 2020.4, 384: 295-313. [5]. Lin Z, Jia J, Gao W, Huang F, A Novel Quadruple Generative Adversarial Network for Semi-supervised Categorization of Low-resolution Images, Neurocomputing, 4 Nov,2020, 415, 266-285. [6]. Lin Z, Jia J, Huang F, Gao W, A Coarse-to-fine Capsule Network for Fine-grained Image Categorization, Neurocomputing. 2021.10, Volume 456, 7 October 2021, Pages 200-219. [7]. Lin Z, Gao W, Jia J, Huang F, CapsNet meets SIFT: A Robust Framework for Distorted Target Categorization, Neurocomputing. 2021.11. [8]. Lin Z, Mu S, Shi A, et al. A Novel Method of Maize Leaf Disease Image Identification Based on a Multichannel Convolutional Neural Network, Transactions of the ASABE, 61(5): 1461-1474, 2018. [9]. Lin Z, Jia J, Gao W, Huang F, A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds, Journal of Intelligent & Fuzzy Systems, 2020.3, 38(3): 3463-3487. [10]. Z. Lin; S. Mu; F. Huang; K. A. Mateen; M. Wang; W. Gao; J. Jia, A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases, in IEEE Access, vol. 7, pp. 11570-11590, 2019.1. [11]. Z. Lin, J. Jia, W. Gao and F. Huang, Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens, in IEEE Access, vol. 7, pp. 123367-123392, 2019.11. 3、专利成果 (1) 基于Web的农作物虫害信息预测预警系统,软件著作权,软著登字第1968347号。 (2) 一种基于物联网的远程玉米虫害信息监控系统,实用新型专利,201621457363.9。 【其他】(奖励荣誉、实验室介绍等) 1、2020年吴文俊人工智能芯片专项奖
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