男,汉族,1977年7月生,山东德州人,中共党员,博土,教授,硕士研究生导师。
学习及工作经历
2006.7- 山东科技大学信息与电气工程学院、电子信息工程学院教师
2003.3-2006.6 中国科学院电子学研究所“信号与信息处理”专业学习,获工学博士学位
2000.9-2003.3 北京航空航天大学机械工程及自动化学院“机械电子工程”专业学习,获工学硕士学位
1996.9-2000.7 华北电力大学(保定)机械工程系“机械电子工程”专业学习,获工学学士学位
研究方向及成果
图像处理与模式识别,信号与智能信息处理。
论文及著作
[1] Haiping Xu, Jie Wang, Zuoyong Li, Xuesong Cheng*, Shenghua Teng*. Pixel-level polyp segmentation network based on parallel feature enhancement and attention mechanism, Biomedical Signal Processing and Control, 2026, 116:109548
[2] Xujian Wang, Shuo Zhang, Shenghua Teng*, Jiashu Guo, Xiaoxuan Liu, Ji He, Dongsheng Fan b, Yan Liu*. Domain adversarial wavelet convolutional neural network used for ALS and CSM identification with NEMG signal, Biomedical Signal Processing and Control, 2025, 101:107173
[3] Meng Zhao, Zhihang Guo, Haoxiang Zhang, Shenghua Teng*, Zechang Du, Huaiming Li, Xiao Wang. Video mosaicking-based method for counting deep-sea polymetallic nodules, Marine Georesources & Geotechnology, 2025.12
[4] Haiping Xu, Jie Wang, Zuoyong Li, Shenghua Teng*, Xuesong Cheng*. Lite-PolypNet: A Lightweight and Efficient Network for Polyp Segmentation in Colonoscopy Images, International Journal of Imaging Systems and Technology, 2025.9
[5] Shenghua Teng, Jishun Ma, Zuoyong Li*, Chang'en Zhou, Weikai Lu. State-element-aware Syndrome Classification Based on Hypergraph Convolutional Network, Expert Systems with Applications, 2024, 248: 123369
[6] Shenghua Teng, Amin Fu, Weikai Lu, Chang'en Zhou, Zuoyong Li*. TCM syndrome classification using graph convolutional network, European Journal of Integrative Medicine, 2023,62: 102288
[7] Rui Li, Zuoyong Li, Haoyi Fan, Shenghua Teng*, Xinrong Cao*. MCFSA‐Net: A multi‐scale channel fusion and spatial activation network for retinal vessel segmentation, Journal of Biophotonics, 2022.11
[8] Shenghua Teng, Jiawei Wu, Yuanyuan Chen, Haoyi Fan, Xinrong Cao*, Zuoyong Li*. Semisupervised Leukocyte Segmentation Based on Adversarial Learning with Reconstruction Enhancement, IEEE Transactions on Instrumentation and Measurement, 2022.7
[9] Yali Qu, Haoyan Shang, Jing Li*, Shenghua Teng*. Reduce Surface Electromyography Channels for Gesture Recognition by Multitask Sparse Representation and Minimum Redundancy Maximum Relevance, Journal of Healthcare Engineering, 2021.5
[10] Zhengxia Wang, Shenghua Teng*, Guodong Liu, Zengshun Zhao, Hongli Wu*. Hierarchical Sparse Representation with Deep Dictionary for Multi-modal Classification, Neurocomputing, 2017, 253:65-69
主持及参与项目
参加国家863计划、国家及山东省自然科学基金、企业委托课题的多项科研项目。参与建设的课程《数字图像处理》先后被评为国家级精品课程、国家级精品资源共享课和国家级线上一流课程。
获奖情况
山东省高等教育教学成果一等奖、山东省高等学校优秀科研成果二等奖。
主讲课程
《数字图像处理》、《图像处理与分析》、《计算方法》、《电子信息工程专业导论》。
联系方式
shteng@sdust.edu.cn。