（教授Associate 、博士Doctor）
1.研究領(lǐng)域 Research field:
昆蟲行為智能識別、生物行為智能識別、計算機視覺技術(shù)應(yīng)用以及無人機技術(shù)應(yīng)用
Intelligent Recognition of Insect Behavior, Intelligent Recognition of Biological Behavior, Application of Computer Vision Technology, and Application of Unmanned Aerial Vehicle Technology
2.主要代表成果Research achievements：
論文：
[1]Zhiliang Zhang,Wei Zhan,Kanglin Sun etl. RPH-Counter: Field Detection and Counting of Rice Planthoppers Using a Fully Convolutional Network with Object-Level Supervision, Computers and Electronics in Agriculture, （計算機科學(xué)-農(nóng)業(yè)交叉1區(qū)TOP，IF7.7）
[2]Zhiliang Zhang, Wei Zhan*, Yong Sun etl. Mask-guided dual-perception generative adversarial network for synthesizing complex maize diseased leaves to augment datasets, Engineering Applications of Artificial Intelligence,Volume 136, Part A,2024,108875,ISSN 0952-1976,（計算機科學(xué)2區(qū)TOP，IF7.428）
[3]Min Wei,Wei Zhan*,YOLO_MRC: A fast and lightweight model for real-time detection and individual counting of Tephritidae pests,Ecological Informatics,Vol.79,2024,102445,(環(huán)境科學(xué)與生態(tài)學(xué)3區(qū)，IF4.498）
[4]劉虎,詹煒*，何章章,等, 基于YOLO V7及TSM模型的橘小實蠅梳理行為檢測與識別[J].昆蟲學(xué)報,2023,66(6):787-796. (農(nóng)業(yè)科技,中文核心TOP期刊，IF1.59)
[5]李偉豪,詹煒*，周婉等.輕量型Yolov7-TSA網(wǎng)絡(luò)在茶葉病害檢測識別中的研究與應(yīng)用[J].河南農(nóng)業(yè)科學(xué),2023,52(05):162-169.(中文核心)
[6]熊夢園，詹煒*，桂連友，等.基于ResNet模型的玉米葉片病害檢測與識別[J].江蘇農(nóng)業(yè)科學(xué),2023年3月.（中文核心，IF1.181）
[7]Yong Sun, Wei Zhan *, Tianyu Dong etl. Real-Time Recognition and Detection of Bactrocera minax(Diptera: Trypetidae) Grooming Behavior Using Body Region Localization and Improved C3D Network. Sensors.2023; 23(14):6442.（工程技術(shù)3區(qū)，IF4.1）
[9]Guo,Yuheng;Zhan,Wei*;Li,Weihao etl.Application of Support Vector Machine Algorithm Incorporating Slime Mould Algorithm Strategy in Ancient Glass Classification, Applied Sciences.2023; 13 (6):3718. （綜合性期刊4區(qū)，IF2.838）
[10]HuLiu,WeiZhan*,ZhiqiangDu.etl. Prediction of the intramuscular fat content of pork cuts by improved U2-Net model and clustering algorithm,Food Bioscience,Volume 53,2023,102848,ISSN 2212-4292, (農(nóng)林科學(xué)-食品科技2區(qū)TOP,IF5.318）
[11]Weihao Li.,Zhan,W.*,Han Tao.etl. Research and Application of U2-NetP Network Incorporating Coordinate Attention for Ship Draft Reading in Complex Situations. Journal of Signal Processing Systems. 2022; 95(2-3):177-195.（計算機科學(xué)4區(qū)，IF1.813）
[12]HuaziHuang,WeiZhan*,ZhiqiangDu etl. Pork primal cuts recognition method via computer vision.Meat Science.2022; 192:108898. (農(nóng)林科學(xué)-食品科技1區(qū)TOP期刊，IF7.077）
[13]閔超，詹煒*，張豫麒，呂建華，洪勝兵，董天豫，佘金惠，黃華姿，基于匈牙利算法和LSTM網(wǎng)絡(luò)的儲糧害蟲軌跡跟蹤及行為研究，中國糧油學(xué)報，（中文核心IF2.278）
[14]Shengbing Hong,Zhan,Wei*,Tianyu Dong,etal..A Recognition Method of Bactroceraminax(Diptera:Tephritidae)Grooming Behavior via a Multi-Object Tracking and Spatio-Temporal Feature Detection Model. Journal of Insect Behavior. 2022; 35(4):67-81. （農(nóng)林科學(xué)-昆蟲學(xué)3區(qū)，IF1.309）
[15]Zhan,Wei;Sun,Chenfan;Wang,Maocai.etl. An improved Yolov5 real-time detection method for small objects captured by UAV, Soft Computing,2022,26(1):361-373. （計算機科學(xué)3區(qū)，IF3.732）
[16]JinhuiShe,Wei Zhan*,ShengbingHong.etl. A method for automatic real-time detection and counting of fruit fly pests in orchards by trap bottles via convolutional neural network with attention mechanism added, Ecological Informatics, (環(huán)境科學(xué)與生態(tài)學(xué)3區(qū)，IF4.498）
[17]Zhan,Wei;Zou,Yafeng;He,Zhangzhang.etl Key Points Tracking and Grooming Behavior Recognition of Bactrocera minax (Diptera: Trypetidae) via DeepLabCut. Mathematical Problems in Engineering.2021;2021():1-15. （計算機科學(xué)4區(qū)，IF1.025）
[18]Zhan,Wei; Hong,Shengbing;Sun,Yong.etl.The System Research and Implementation for Autorecognition of the Ship Draft via the UAV,International Journal of Antennas and Propagation,2021,2021()1-11. （計算機科學(xué)4區(qū)，IF1.500）
[19]Zhang,Zhiliang;Zhan,Wei*;He,Zhangzhang.etl. Application of Spatio-Temporal Context and Convolution Neural Network(CNN)in Grooming Behavior of Bactrocera minax(Diptera:Trypetidae) Detection and Statistics, Insects,2020,11(9).（農(nóng)林科學(xué)-昆蟲學(xué)2區(qū)TOP，IF3.139）
[20]Sun,Chenfan, Zhan,Wei*;She,Jinhiu.etl. Object Detection from the Video Taken by Drone via Convolutional Neural Networks,Mathematical Problems in Engineering,2020. （計算機科學(xué)4區(qū)，IF1.025）
[21]Wei Cao,Wei Zhan*. ML-MOEA/SOM:A Manifold-Learning-Based Multiobjective Evolutionary Algorithm via Self-Organizing Maps, Journal of Computing and InformationTechnology.2016,9(7):391-406.
[22]Wei Zhan, A Hybrid Multiobjective Evolutionary Algorithm Model-Based on Local Linear Embedding,International Journal of Computing Science and Mathematics.2015,3(6):287-296.
[23]We Zhan, A Research Overview of Manifold-Learning-Based Multiobjective Evolutionary Algorithm, International Journal of Computing Science and Mathematics.2015,3(6):221-220.
[24]Wei Zhan,Guangming Dai, Research Over view of Manifold Learning Algorithm ,Advances in Information Sciences and Service Sciences.2013,5(1):58-67.
發(fā)明專利：
[1]詹煒；孫晨帆；一種無人機電力自動巡檢方法、裝置及系統(tǒng)，2020.07.27，中國，ZL2020107323729
[2]孫泳；詹煒；洪勝兵;佘金惠；一種基于計算機視覺的誘蟲瓶昆蟲計數(shù)方法以及計數(shù)裝置，2021.08.27，中國，ZL202110657187.2
[3]詹煒；閔超；孫泳；董天豫；一種儲量害蟲的運動行為分析方法與實驗裝置，2021年6月11日，中國，ZL202110655373.2
[4]詹煒;董天豫；洪勝兵；閔超；一種基于深度學(xué)習(xí)及圖像技術(shù)的昆蟲動態(tài)行為識別方法，2021-6-11，中國，ZL202110656390.8
[5]詹煒;佘金慧；孫泳；閔超；一種基于卷積神經(jīng)網(wǎng)絡(luò)的昆蟲分類及計數(shù)方法，2021-6-11，中國，ZL202110657174.5
[6]孫泳；詹煒；朱晨光；一種船舶水尺識別方法、設(shè)備及存儲介質(zhì)，2021-1-15，中國，ZL202011168530.9
[7]詹煒;李偉豪;孫泳;董天豫;一種無人機混合路徑規(guī)劃方法,2021-8-6,中國,ZL202121311570.4
[8]詹煒;孫泳;黃華姿;閔超;一種便攜式昆蟲誘捕分類計數(shù)裝置,2021-6-11,中國,ZL202121311577.6
[9]詹煒;洪勝兵;董天豫;孫泳;一種自動化昆蟲動作行為智能識別與分析裝置,2021-6-11,中國,ZL202121311570.4
[10]詹煒;朱晨光;舒子桓;一種輸電線路絕緣子爆裂識別方法及裝置,2020-7-27,中國,ZL202010732376.7
[11]詹煒;張智亮;鄒亞峰;一種基于時空上下文的昆蟲行為識別方法及裝置,2020-3-26,中國,ZL202010222364.X
[12]詹煒;鄒亞峰;張智亮;一種動物行為自動識別方法及裝置,2020-3-26,中國,ZL202010222352.7
[13]詹煒;朱晨光;孫泳;一種無人機智能船舶水尺識別方法及裝置,2020-3-26,中國，ZL202010222648.9
3.電子郵箱（EMAIL）： zhanwei814@yangtzeu.edu.cn
