近年来，指导学生发表的部分论文：

[1]  Xin Shu(束鑫), Aoping Zhang(张澳平), Zhaoyang Xu, Feng Zhu, Wei Hua, Adaptive encoding and comprehensive attention decoding network for medical image segmentation, Applied Soft Computing,  174 (2025) 112990.  (SCI一区, TOP期刊)

[2] Li Hong (洪丽), Xin Shu(束鑫), Qi Wang, Hua Ye, Jinlong Shi, Caisheng Liu, CCM-Net: Color compensation and coordinate attention guided underwater image enhancement with multi-scale feature aggregation, Optics and Lasers in Engineering, Part 1, 184 (2025) 108590.  (SCI二区)

[3] Yingyan Gu (顾迎燕), Yan Wang, Hua Ye, Xin Shu(束鑫), DA-Net: Deep attention network for biomedical image segmentation, Signal Processing: Image Communication, 135 (2025) 117283. (SCI三区)

[4] Anqi Shi (史安琪), Xin Shu(束鑫), Dan Xu, Fang Wang, GCMR-Net: A Global Context-Enhanced Multi-scale Residual Network for medical image segmentation, Multimedia Systems, 2025, 31:22. (SCI三区)

[5] 武相虎, 束鑫, 范燕, 黄树成, 史金龙, 面向医学图像分割的双通道特征感知网络, 控制与决策[J], 2025,40(3): 871-879. (EI)

[6] Yang Yang (杨扬), Jin Zhang, Xin Shu(束鑫), Lei Pan, Ming Zhang, A lightweight Transformer model for defect detection in electroluminescence images of photovoltaic cells, IEEE Access, 12 (2024), pp.194922-194931. (SCI三区)

[7] Xianghu Wu(武相虎), Shucheng Huang, Xin Shu(束鑫), Chunlong Hu, Xiao-Jun Wu, MPFC-Net: A multi-perspective feature compensation network for medical image segmentation, Expert Systems with Applications, 248 (2024) 123430.  (SCI一区, TOP期刊)

[8] Xin Shu(束鑫), Jiangsu Wang(王佳树), Aoping Zhang, Jinlong Shi, Xiao-Jun Wu, CSCA U-Net: A channel and space compound attention CNN for medical image segmentation, Artificial Intelligence in Medicine, 150 (2024) 102800.  (SCI二区)

[9] Chufan Liu(刘楚凡), Xin Shu(束鑫), Dan Xu, Jinglong Shi, GCCF: A lightweight and scalable network for underwater image enhancement, Engineering Applications of Artificial Intelligence,  128 (2024) 107462. (SCI二区, TOP期刊) 

[10] Xin Shu(束鑫), Xiaotong Li(李晓彤), Xin Zhang, Changbin Shao, Xi Yan, Shucheng Huang, MRAU-net: Multi-scale residual attention U-shaped network for medical image segmentation, Computers and Electrical Engineering, 118 Part B (2024) 109479.  (SCI三区)

[11] Yan Wang, Lai Pan, Xin Shu(束鑫), YOLO-FMS: A lightweight and efficient model for medical microscopic smear detection, IEEE Access, 12 (2024), pp. 125253-125265.  (SCI三区)

[12] Di Lv(吕滴), Chao Zhao, Hua Ye, Yan Fan, Xin Shu(束鑫), GS-YOLO A Lightweight SAR Ship Detection Model Based on Enhanced GhostNetV2 and SE Attention, IEEE Access, 12 (2024), pp. 108414-108424.  (SCI三区)

[13] Yan Wang, Qingyun Zhang(张青云), Xin Shu(束鑫), Micro-expression recognition using a multi-scale feature extraction network with attention mechanisms, Signal, Image and Video Processing, 18 (2024): 5137-5147.  (SCI四区)

[14] Chufan Liu(刘楚凡),  Xin Shu(束鑫), Lei Pan, Jinglong Shi, Bin Han, Multiscale Underwater Image Enhancement in RGB and HSV Color Spaces, IEEE Trans. on Instrumentation and Measurement,  72 (2023) 5021814. (SCI二区, TOP期刊) 

[15] Xin Shu(束鑫), Xiaojie Li(李晓洁), Xin Zuo, Dan Xu, Jinlong Shi, Face Spoofing Detection Based on Multi-scale Color Inversion Dual-stream Convolutional Neural Network, Expert Systems with Applications, 244 (2023) 119988.  (SCI一区, TOP期刊)

[16] Chao Zhao(赵超), Xin Shu(束鑫), Xi Yan, Xin Zuo, Feng Zhu, RDD-YOLO: A modified YOLO for detection of steel surface detects, Measurement, 214 (2023) 112776. (高被引论文, 热点论文. SCI二区, TOP期刊) 

[17] Xin Shu(束鑫),  Jia Li(李佳), Liang Shi, Shucheng Huang, RES-CapsNet: An improved capsule network for micro-expression recognition, Multimedia Systems, 2023, 29, 1593-1601. (SCI三区) 

[18] Jiawen Lu, Jinglong Shi, Haowei Zhu, Jun Ni, Xin Shu(束鑫) et al, Depth Guidance and Intra-Domain Adaptation for Semantic Segmentation, IEEE Trans. on Instrumentation and Measurement,  72 (2023) 5008313. (SCI二区, TOP期刊) 

[19] Xianhua Duan, Chaoqiang Jin, Xin Shu(束鑫), HCPSNet heterogeneous cross‑pseudo‑supervision network with confidence evaluation for semi-supervised medical image segmentation, Multimedia Systems,  2023, 29, 2809-2823. (SCI三区) 

[20] Xin Shu(束鑫),  Hui Pan(潘慧), Jinlong Shi, Xiaoning Song, Xiao-Jun Wu, Using global information to refine local patterns for texture representation and classification, Pattern Recognition, 131 (2022) 108843. (SCI一区, TOP期刊) 

[21] Xin Shu(束鑫),  Yingyan Gu(顾迎燕), Xin Zhang, Chunlong Hu, Ke Cheng, FCRB U-net: A novel fully connected residual block U-net for fetal cerebellum ultrasound image segmentation, Computers in Biology and Medicine, 148 (2022) 105693. (SCI二区) 

[22] Xin Shu(束鑫),  Feng Chang(常峰), Xin Zhang, Changbin Shao, Xibei Yang, ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation, Biomedical Signal Processing and Control, 75 (2022) 103528. (SCI二区) 

[23] Xin Shu(束鑫), Zhigang Song(宋志刚), Jinlong Shi, Shucheng Huang, Xiao-Jun Wu, Multiple Channels Local Binary Pattern for Color Texture Representation and Classification, Signal Processing: Image Communication, 98 (2021) 116392. (SCI二区) 

[24] Xin Shu(束鑫), Kun Xia(夏坤), Hui Pan, Lei Pan, Ming Zhang, Face anti-spoofing based on weighted neighborhood pixel difference pattern[J], Journal of Electronic Imaging, 30(3), 033003 (10 May 2021). (SCI四区) 

[25] Xin Shu(束鑫), Hui Tang(唐慧), Shucheng Huang, Face spoofing detection based on chromatic ED-LBP texture feature[J], Multimedia Systems, 2021, 27, 161-176. (SCI四区)

[26] 束鑫, 唐慧, 杨习贝, 宋晓宁, 吴小俊. 基于差分量化局部二值模式的人脸反欺诈算法研究[J], 计算机研究与发展, 2020, 57(7): 1508-1521.（CCF-A类期刊，EI检索）

[27] 束鑫, 潘慧, 邵长斌, 史金龙, 吴小俊. 基于局部排序差值细化模式的纹理图像分类[J], 计算机辅助设计与图形学学报, 2020,32(12): 1948-1956+1966. (CCF-A类期刊, EI检索）

[28] 束鑫, 常锋, 张歆, 杜睿, 余转. 基于BCNN的胎儿颅脑超声横切面识别算法[J], 计算机科学, 2021, 48(04):151-156.（CCF-B类期刊, 核心期刊）

[29] 唐慧, 束鑫, 等. 基于分块彩色MB-LBP纹理的人脸反欺诈算法[J], 江苏科技大学学报(自然科学版), 2020, 34(3): 48-53. (核心期刊)