学术论文：
1. An introspection of graph structure learning: A graph skeleton extraction via minimum dominating set. Neurocomputing, 2025. Link: https://doi.org/10.1016/j.neucom.2025.130257.
2. Time-DisCo: A Disentangled Contrastive Autoencoder Approach to Enhancing Multivariate Probabilistic Time Series ForecastingFromMultisensorData. IEEE Sensors Journal, 2025. Link: https://doi.org/10.1109/JSEN.2025.3564990.
3. CPSDNet: Cross-Power Spectral Density Guided Contrastive Learning for Channel Prediction in MISO-OFDM Systems. IEEE Wireless Communications Letters, 2025. Link:https://doi.org/10.1109/LWC.2025.3582343.
4.CFAlignNet: Knowledge-Enhanced Coarse-Fine Cross-modal Alignment for Long-term Network Traffic Forecasting. SSRN preprint. Link:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5650682.
5.Deep learning methods for real-time detection and analysis ofwagnerulcer classification system.2022 International Conference on Computer Applications Technology (CCAT), 2022. Link:https://ieeexplore.ieee.org/abstract/document/10006774.
6. Gradation and area measurement of diabetic foot ulcers based on deep learning.BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY,2020.
7.Improving model drift for robust object tracking.Multimedia Tools and Applications,2020. Link:https://link.springer.com/article/10.1007/s11042-020-09032-z.
8.Application of refinements on faster-RCNN in automatic screening of diabetic footwagnergrades.ACTA MEDICA MEDITERRANEA, 2020.
发明专利：
1，一种相控阵天线测试方法、装置、设备及介质：ZL202110314440.4[P]，授权：2021-12-21
2，一种智能机器人路线规划及沿原路径返回的方法及系统：ZL201810039466.0[P]，授权：2020-06-09
3，⼀种糖尿病患者膳食识别分析仪：ZL201921509023.X[P]，授权：2020-05-05
4，⼀种糖尿病足自动识别分级辅助诊断装置：ZL201920478521.6[P]，授权：2020-05-05
5，用于糖尿病足的图像采集组件及糖尿病⾜测量装置：ZL201920657022.3[P]，授权：2020-03-31
6，一种基于时空数据的频谱预测方法：ZL202011468034.5[P]，授权：2021-11-30
7，基于图神经网络的多维频谱预测方法、系统、装置及介质：ZL202111163140.7[P]，授权：2022-07-26
8，基于深度学习的足迹鉴别与步态检测方法及其装置：ZL201811191596.2[P]，授权：2021-05-11
9，基于在线学习的反向散射无线网络最优路径路由方法、装置和存储介质：ZL202210992514.4[P]，授权：2024-11-26
