师资队伍

1、论文、著作

[1] Jinyong Cheng, Qinghao Cui, Guohua Lv*. BSMEF: Optimized multi-exposure image fusion using B-splines and Mamba. Image and Vision Computing, 2025, 161:105660. (SCI)

[2] Guangrui Guo, Jinyong Cheng*. Un-CNL: An uncertainty-based continual noisy learning framework. Neurocomputing, 2025, 651:130985. (SCI)

[3] Guohua Lv, Chaoqun Sima, Yongbiao Gao, Aimei Dong, Guangxiao Ma, Jinyong Cheng *. SIGFusion: Semantic Information Guided Infrared and Visible Image Fusion. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 5032218. (SCI)

[4] Lingzhi Kong, Jinyong Cheng*. Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion. Biomedical Signal Processing and Control. 2022, 77: 10377.  (SCI)

[5] Xuran Lv, Jinyong Cheng*, Guohua Lv, Zhonghe Wei. A Deep Fusion Rule for Infrared and Visible Image Fusion: Feature Communication for Importance Assessment. ICASSP 2023. (CCF B)

[6] Baoyu Du, Zhonghe Wei, Jinyong Cheng*, Guohua Lv, Xiaoyu Dai. Online Class-Incremental Learning in Image Classification Based on Attention. PRCV (7) 2023: 487-499.(CCF C)

[7] Guangrui Guo, Zhonghang Wei, Jinyong Cheng*. Enhancing Continual Noisy Label Learning with Uncertainty-Based Sample Selection and Feature Enhancement. PRCV (8) 2023: 498-510.(CCF C)

[8] Xiaoyu Dai, Jinyong Cheng*, Zhonghe Wei, Baoyu Du. Exemplar-Free Continual Learning in Vision Transformers via Feature Attention Distillation. SMC 2023: 666-671.(CCF C)

[9] Yuqing Song, Jinyong Cheng*. Self-supervised anomaly detection of medical images based on dual-module discrepancy. MMAsia 2023: 18:1-18:7. (CCF C)

[10] Xinqiao Liu, Zhisheng Yang, Jinyong Cheng*. Music recommendation algorithms based on knowledge graph and multi-task feature learning. Scientific Reports. 2024, 14: 2055. (SCI)

[11] Jinyong Cheng, Yihui Liu*, Yuming Ma. Protein secondary structure prediction based on integration of CNN and LSTM model. Journal of Visual Communication and Image Representation. August 2020, Volume 71, 102844. (SCI)

[12] Zhisheng Yang, Jinyong Cheng*. Recommendation Algorithm Based on Knowledge Graph to Propagate User Preference. International Journal of Computational Intelligence Systems. May 2021, Volume 14(1), 1564 - 1576. (SCI)

[13] Yunxiang Zhao, Jinyong Cheng*, Ping Zhang, Xueping Peng. ECG Classification Using Deep CNN Improved by Wavelet Transform. CMC-Computers, Materials & Continua, June 2020, Volume 64(3), 1615–1628. (SCI)

[14] Jinyong Cheng, Qingxu Zou, Yunxiang Zhao*. ECG signal classifcation based on deep CNN and BiLSTM. BMC Medical Informatics and Decision Making.  December 2021, 21:365. (SCI)

[15] Jinyong Cheng*, Ying Xu, Yunxiang Zhao. Prediction of protein secondary structure based on deep residual convolutional neural network. Biotechnology & Biotechnological Equipment. January 2022, 35(1), 1881-1890. (SCI)

[16] Zhisheng Yang, Jinyong Cheng*. Recommendation algorithm based on attributed multiplex heterogeneous network. PeerJ Computer Science. December 2021, 7:e822. (SCI)

2、专利

[1]发明专利，基于CycleGAN和BAFCNN的黑色素瘤分类方法及系统.第1位，2026

[2]发明专利，基于多注意力与LSTM的糖尿病视网膜病变分类方法及系统.第1位，2026

[3]发明专利，糖尿病视网膜病变图像分类方法及系统.第1位，2025

[4]发明专利，基于特征融合的肺部X-Ray图像分类方法、系统及存储介质.第1位，2024

[5] 发明专利，一种基于多尺度卷积注意力神经网络的蛋白质二级结构预测方法.第1位，2023

[6] 发明专利，基于深度学习的肺炎图像分类方法及系统.第1位，2022