陈鑫

   陈鑫，特聘副研究员，硕士生导师，邮箱：xin.chen@hdu.edu.cn

   本人毕业于澳大利亚格里菲斯大学，获人工智能博士学位，师从澳大利亚桂冠学者Yongsheng Gao教授，长期致力于计算机视觉、图像处理、模式识别与深度学习等方向的研究。近年来，面向细粒度图像识别及其应用这一方向持续开展深入的研究工作，取得了较为显著的成果。已在人工智能与计算机视觉领域的国内外顶级会议和权威期刊发表学术论文18篇，代表性成果发表于ICCV、ACM MM、TCSVT、Pattern Recognition、Computers and Electronics in Agriculture、ICASSP、ICME及《软件学报》等重要学术期刊与会议。

   欢迎有上进心、自驱力强、有意向在国内外继续升学深造的同学与我联系。我们课题组/团队长期开放科研训练与课题研究机会，支持你在真实研究中提升学术能力、发表学术论文，并为后续申请与发展打下扎实基础。

========== 招生方向 ==========

计算机视觉与图像处理、多模态大模型及其应用、智慧农业中的智能感知与信息处理

2021.02 - 2025.02   博士   澳大利亚格里菲斯大学   人工智能

2025.04 - 至今   杭州电子科技大学   特聘副研究员、硕士导师

计算机视觉与图像处理、多模态大模型、智慧农业、人工智能

2026   浙江省自然科学基金青年项目      项目负责人

2026   国家级海外引才专项第一层次      项目负责人

期刊论文：

[1] Xin Chen, Ruiming Wang, and Bin Wang, “Local Deep-Pattern Transform: Exploring Training-Free Deep Feature Representation for Fine-Grained Leaf Image Retrieval,” IEEE Transactions on Circuits and Systems for Video Technology, 2026. (中科院SCI 1区Top, 影响因子: 11.1) 

[2] Xin Chen, Bin Wang, and Yongsheng Gao, “Separated Fan-Beam Projection with Gaussian Convolution for Invariant and Robust Butterfly Image Retrieval,” Pattern Recognition, vol. 147, 110083, 2024. (中科院SCI 1区Top, 影响因子: 7.5) 

[3] Xin Chen, Bin Wang, and Yongsheng Gao, “Symmetric Binary Tree Based Co-occurrence Texture Pattern Mining for Fine-grained Plant Leaf Image Retrieval,” Pattern Recognition, vol. 129, 108769, 2022. (中科院SCI 1区Top, 影响因子: 7.5) 

[4] Xin Chen, and Bin Wang, “Symmetry-constrained linear sliding co-occurrence LBP for fine-grained leaf image retrieval,” Computers and Electronics in Agriculture, vol. 218, 108741, 2024. (中科院SCI 1区, 国际农业综合领域Top期刊, 影响因子: 7.7)

[5] Xin Chen, and Bin Wang, “Invariant Leaf Image Recognition with Histogram of Gaussian Convolution Vectors,” Computers and Electronics in Agriculture, vol. 178, 105714, 2020. (中科院SCI 1区, 国际农业综合领域Top期刊, 影响因子: 7.7) 

[6] 陈鑫, 王斌, 姬子恒, “高斯卷积角: 用于叶片图像检索的形状描述不变量,” 软件学报, vol. 32, no. 5 (2020): 1565-1578. (中文 CCF-A, 计算机学科中文权威期刊) 

[7] Hui Tang, Bin Wang, and Xin Chen, “Deep Learning Techniques for Automatic Butterfly Segmentation in Ecological Images,” Computers and Electronics in Agriculture, vol. 178, 105739, 2020. (中科院SCI 1区, 国际农业综合领域Top期刊, 影响因子: 7.7) 

[8] Bin Wang, Hao Li, Jiawei You, Xin Chen, Xiaohui Yuan, and Xianzhong Feng, “Fusing deep learning features of triplet leaf image patterns to boost soybean cultivar identification,” Computers and Electronics in Agriculture, vol. 197, 106914, 2022. (中科院SCI 1区, 国际农业综合领域Top期刊, 影响因子: 7.7) 

会议论文: 

[1] Xin Chen, Bin Wang, and Yongsheng Gao, “Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval,” IEEE/CVF International Conference on Computer Vision (ICCV), pp. 11102-11111, 2023. (CCF-A, 计算机视觉领域国际顶级会议) 

[2] Xin Chen, Bin Wang, Jinzheng Jiang, Kunkun Zhang, and Yongsheng Gao, “SDePR: Fine-Grained Leaf Image Retrieval with Structural Deep Patch Representation,” ACM International Conference on Multimedia (ACM MM), 2024. (CCF-A, 多媒体领域国际顶级会议) 20241028

[3] Xin Chen, Bin Wang, and Yongsheng Gao, “Multiscale Binary-Pattern Dependency: A Novel Co-Occurrence Texture Descriptor for Fine-Grained Leaf Image Retrieval,” IEEE International Conference on Multimedia & Expo (ICME), 2024. (CCF-B, 计算机图形学与多媒体领域国际知名会议)20240715

[4] Xin Chen, Bin Wang, and Yongsheng Gao, “Leaf Vocabulary: Fine-Grained Leaf Image Retrieval Using Bag-of-Visual-Words Representation,” IEEE International Conference on Pattern Recognition (ICPR), pp. 2714-2720, 2022. (CCF-C, 模式识别领域国际知名会议) 

[5] Xin Chen, Bin Wang, and Yongsheng Gao, “Pairwise Rotational-Difference LBP for Fine-Grained Leaf Image Retrieval,” IEEE International Conference on Image Processing (ICIP), pp. 3346-3350, 2022. (CCF-C, 图像处理领域国际知名会议) 16-19 October 2022

[6] Xin Chen, Bin Wang, and Yongsheng Gao, “Gaussian Convolution Angles: Invariant Vein and Texture Descriptors for Butterfly Species Identification,” IEEE International Conference on Pattern Recognition (ICPR), pp. 5798-5803, 2021. (CCF-C, 模式识别领域国际知名会议) 

[7] Xin Chen, Jiawei You, Hui Tang, Bin Wang, and Yongsheng Gao, “Fine-grained Plant Leaf Image Retrieval using Local Angle Co-Occurrence Histograms,” IEEE International Conference on Image Processing (ICIP), pp. 1599-1603, 2021. doi: 10.1109/ICIP42928.2021.9506351. (CCF-C, 图像处理领域国际知名会议) 

[8] Gangqiang Zhou, Ziheng Ji, Xin Chen, and Bin Wang. “StrokeNet: Harmonizing Stoke Domains Between Sketches and Natural Images for Sketch-based Image Retrieval,” IEEE International Conference on Pattern Recognition (ICPR), pp. 3370-3375, 2022. (CCF-C, 模式识别领域国际知名会议)