计算机学院
通讯地址：江苏科技大学计算机学院
个人邮箱：shaocb@just.edu.cn
邮政编码：212100
办公地点：计算机学院525室
传真：
单位：江苏科技大学，计算机学院
姓名：邵长斌
性别：男
职称：副教授，硕士生导师
籍贯：山东省泰安市新泰市
教育经历：南京大学博士研究生
招生范围：学硕 (计算机科学与技术，软件工程，人工智能)；专硕 (计算机技术，软件工程，人工智能)。
研究方向：计算机视觉，模式识别。主要从事深度学习相关的理论及算法研究，侧重于视觉类数据（图像及视频）应用领域，分别涉及图像识别、目标检测及图像处理(生成及转换)技术等任务类型。初步尝试针对时序数据的算法设计及实现，目前涉及深度学习算法在语音信号(音文识别)及金融类数据的应用实践。
个人主页：https://scholar.google.com/citations?user=VLko2nYAAAAJ
[15] He, P., Kong, Q., Chen, Y., Shao, C. and Su, Z.# (2025), Pancreas Segmentation Based on Multi-Stage Attention Enhanced U-Net. Int J Imaging Syst Technol, 35: e70025.
[14] Li, M., Liu, W., Shao, C.#, Qin, B., Tian, A., & Yu, H. (2025). Multi-Scale Feature Enhancement Method for Underwater Object Detection. Symmetry, 17(1), 63.
[13] Chen, J., Shao, C., & Su, Z. # (2024). Mixed Label Assignment Realizes End-to-End Object Detection. Electronics, 13(23), 4856.
[12] Wang, S., Shao, C., Xu, S., Yang, X., & Yu, H.# (2024). MSFSS: A whale optimization-based multiple sampling feature selection stacking ensemble algorithm for classifying imbalanced data[J]. AIMS Mathematics, 2024, 9(7): 17504-17530.
[11] Wu, S., Yu, H., Gu, Y., Shao, C.#, & Gao, S. (2024). An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique. J Classif 41, 289–312 (2024).
[10] Shao, C., Li, W.#, Huo, J., Feng, Z., & Gao, Y. (2024). Attention-based investigation and solution to the trade-off issue of adversarial training, Neural Networks, Volume 174,106224.
[09] Zhang, J., Feng, Z.#, Hu, G., Shao, C., & Jin, Y. (2022). MixProp: Towards High-Performance Image Recognition via Dual Batch Normalisation. In British Machine Vision Conference (BMVC).
[08] Shu, X.#, Chang, F., Zhang, X., Shao, C., & Yang, X. (2022). ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation. Biomedical Signal Processing and Control, 75, 103528.
[07] Shao, C., Huo, J.#, Qi, L., Feng, Z. H., Li, W., Dong, C., & Gao, Y. (2021, January). Biased feature learning for occlusion invariant face recognition. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence (IJCAI)，pp. 666-672.
[06] Shao, C., Gao, S.#, Song, X., Yang, X., & Xu, G. (2018). Linear representation of intra‐class discriminant features for small‐sample face recognition. The Journal of Engineering, 2018(16), 1668-1673.
[05] Shao, C., Song, X.#, Feng, Z. H., Wu, X. J., & Zheng, Y. (2017). Dynamic dictionary optimization for sparse-representation-based face classification using local difference images. Information Sciences, 393, 1-14.
[04] Shao, C., Song, X.#, Shu, X., & Wu, X. J. (2017). Converted-face identification: using synthesized images to replace original images for recognition. Multimedia Tools and Applications, 76, 6641-6661.
[03] Song, X.#, Shao, C., Yang, X., & Wu, X. (2017). Sparse representation-based classification using generalized weighted extended dictionary. Soft Computing, 21, 4335-4348.
[02] Song, X.#, Yang, X., Shao, C., & Yang, J. (2017). Parity symmetrical collaborative representation-based classification for face recognition. International Journal of Machine Learning and Cybernetics, 8, 1485-1492.
[01] Shao, C., Song, X.#, Yang, X., & Wu, X. (2016). Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples. Soft Computing, 20, 3177-3187.
[15] He, P., Kong, Q., Chen, Y., Shao, C. and Su, Z.# (2025), Pancreas Segmentation Based on Multi-Stage Attention Enhanced U-Net. Int J Imaging Syst Technol, 35: e70025.
[14] Li, M., Liu, W., Shao, C.#, Qin, B., Tian, A., & Yu, H. (2025). Multi-Scale Feature Enhancement Method for Underwater Object Detection. Symmetry, 17(1), 63.
[13] Chen, J., Shao, C., & Su, Z. # (2024). Mixed Label Assignment Realizes End-to-End Object Detection. Electronics, 13(23), 4856.
[12] Wang, S., Shao, C., Xu, S., Yang, X., & Yu, H.# (2024). MSFSS: A whale optimization-based multiple sampling feature selection stacking ensemble algorithm for classifying imbalanced data[J]. AIMS Mathematics, 2024, 9(7): 17504-17530.
[11] Wu, S., Yu, H., Gu, Y., Shao, C.#, & Gao, S. (2024). An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique. J Classif 41, 289–312 (2024).
[10] Shao, C., Li, W.#, Huo, J., Feng, Z., & Gao, Y. (2024). Attention-based investigation and solution to the trade-off issue of adversarial training, Neural Networks, Volume 174,106224.
[09] Zhang, J., Feng, Z.#, Hu, G., Shao, C., & Jin, Y. (2022). MixProp: Towards High-Performance Image Recognition via Dual Batch Normalisation. In British Machine Vision Conference (BMVC).
[08] Shu, X.#, Chang, F., Zhang, X., Shao, C., & Yang, X. (2022). ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation. Biomedical Signal Processing and Control, 75, 103528.
[07] Shao, C., Huo, J.#, Qi, L., Feng, Z. H., Li, W., Dong, C., & Gao, Y. (2021, January). Biased feature learning for occlusion invariant face recognition. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence (IJCAI)，pp. 666-672.
[06] Shao, C., Gao, S.#, Song, X., Yang, X., & Xu, G. (2018). Linear representation of intra‐class discriminant features for small‐sample face recognition. The Journal of Engineering, 2018(16), 1668-1673.
[05] Shao, C., Song, X.#, Feng, Z. H., Wu, X. J., & Zheng, Y. (2017). Dynamic dictionary optimization for sparse-representation-based face classification using local difference images. Information Sciences, 393, 1-14.
[04] Shao, C., Song, X.#, Shu, X., & Wu, X. J. (2017). Converted-face identification: using synthesized images to replace original images for recognition. Multimedia Tools and Applications, 76, 6641-6661.
[03] Song, X.#, Shao, C., Yang, X., & Wu, X. (2017). Sparse representation-based classification using generalized weighted extended dictionary. Soft Computing, 21, 4335-4348.
[02] Song, X.#, Yang, X., Shao, C., & Yang, J. (2017). Parity symmetrical collaborative representation-based classification for face recognition. International Journal of Machine Learning and Cybernetics, 8, 1485-1492.
[01] Shao, C., Song, X.#, Yang, X., & Wu, X. (2016). Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples. Soft Computing, 20, 3177-3187.
[15] He, P., Kong, Q., Chen, Y., Shao, C. and Su, Z.# (2025), Pancreas Segmentation Based on Multi-Stage Attention Enhanced U-Net. Int J Imaging Syst Technol, 35: e70025.
[14] Li, M., Liu, W., Shao, C.#, Qin, B., Tian, A., & Yu, H. (2025). Multi-Scale Feature Enhancement Method for Underwater Object Detection. Symmetry, 17(1), 63.
[13] Chen, J., Shao, C., & Su, Z. # (2024). Mixed Label Assignment Realizes End-to-End Object Detection. Electronics, 13(23), 4856.
[12] Wang, S., Shao, C., Xu, S., Yang, X., & Yu, H.# (2024). MSFSS: A whale optimization-based multiple sampling feature selection stacking ensemble algorithm for classifying imbalanced data[J]. AIMS Mathematics, 2024, 9(7): 17504-17530.
[11] Wu, S., Yu, H., Gu, Y., Shao, C.#, & Gao, S. (2024). An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique. J Classif 41, 289–312 (2024).
[10] Shao, C., Li, W.#, Huo, J., Feng, Z., & Gao, Y. (2024). Attention-based investigation and solution to the trade-off issue of adversarial training, Neural Networks, Volume 174,106224.
[09] Zhang, J., Feng, Z.#, Hu, G., Shao, C., & Jin, Y. (2022). MixProp: Towards High-Performance Image Recognition via Dual Batch Normalisation. In British Machine Vision Conference (BMVC).
[08] Shu, X.#, Chang, F., Zhang, X., Shao, C., & Yang, X. (2022). ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation. Biomedical Signal Processing and Control, 75, 103528.
[07] Shao, C., Huo, J.#, Qi, L., Feng, Z. H., Li, W., Dong, C., & Gao, Y. (2021, January). Biased feature learning for occlusion invariant face recognition. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence (IJCAI)，pp. 666-672.
[06] Shao, C., Gao, S.#, Song, X., Yang, X., & Xu, G. (2018). Linear representation of intra‐class discriminant features for small‐sample face recognition. The Journal of Engineering, 2018(16), 1668-1673.
[05] Shao, C., Song, X.#, Feng, Z. H., Wu, X. J., & Zheng, Y. (2017). Dynamic dictionary optimization for sparse-representation-based face classification using local difference images. Information Sciences, 393, 1-14.
[04] Shao, C., Song, X.#, Shu, X., & Wu, X. J. (2017). Converted-face identification: using synthesized images to replace original images for recognition. Multimedia Tools and Applications, 76, 6641-6661.
[03] Song, X.#, Shao, C., Yang, X., & Wu, X. (2017). Sparse representation-based classification using generalized weighted extended dictionary. Soft Computing, 21, 4335-4348.
[02] Song, X.#, Yang, X., Shao, C., & Yang, J. (2017). Parity symmetrical collaborative representation-based classification for face recognition. International Journal of Machine Learning and Cybernetics, 8, 1485-1492.
[01] Shao, C., Song, X.#, Yang, X., & Wu, X. (2016). Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples. Soft Computing, 20, 3177-3187.
学士：鲁东大学
硕士：江南大学
博士：南京大学
1 本科生课程：计算机视觉项目实践, 数字图像处理课程实践
2 硕士生课程：深度学习原理与算法
学校地址：江苏省镇江市丹徒区长晖路666号
邮编：212100
版权所有©2013-2022 江苏科技大学 苏ICP备05063164号
