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硕士生导师

姓名:刘琨 性别:男 学历:博士研究生

职称:讲师 办公室:J13-222 隶属部门:计算机系

联系方式:liuk@sdust.edu.cn

个人简介:

刘琨,男,工学博士,讲师,硕士生导师。2021年6月毕业于Betvictor中文版计算机软件与理论专业,获工学博士学位。2021年8月入职Betvictor中文版Betvictor中文版,BETVlCTOR伟德官网。研究方向为深度学习、医学图像处理、时序数据处理,发表SCI、EI论文20余篇;主持或参与国家重点研发计划课题、国家自然科学基金、山东省重点研发计划、青岛市博士后基金及横向项目等8项。担任《Expert Systems with Applications》、《Neurocomputing》、《Neural Networks》、《Complex & Intelligent Systems》等SCI期刊审稿人。

Betvictor中文版

详细信息:

一、研究方向

深度学习、图像处理、基于人工智能的医学数据挖掘与处理

二、主持参与项目

1、青岛博士后基金,多模态大数据环境下心血管疾病辅助诊断决策方法研究,主持,在研。

2、山东省重点研发计划,智能采煤工作面安全监测与预警技术及装置研究,参与,在研。

3、国家重点研发计划课题,面向云架构的海洋数值预报系统运行特性评估技术研究,参与,结题。

4、横向,鼎夏按需委外Web暨智能系列软件开发,在研。

5、横向,海龙企业数智化平台,在研。

6、横向,“地学工程”一体化软件系统,结题。

三、部分发表论文

1、 Liu K, Xu S, Feng N. A radial basis probabilistic process neural network model and corresponding classification algorithm[J]. Applied Intelligence, 2019, 49: 2256-2265. SCI二区)

2、 Xu S, Liu K, Li X. A fuzzy process neural network model and its application in process signal classification[J]. Neurocomputing, 2019, 335: 1-8. SCI二区)

3、 Xu S, Li J, Liu K, et al. A parallel GRU recurrent network model and its application to multi-channel time-varying signal classification[J]. IEEE Access, 2019, 7: 118739-118748. SCI二区)

4、 Zha X, Xu S, Liu K, et al. A Fuzzy Radial Basis Inference Network With Grouped Signal Feature Embedding and Its Application in Multi-Source Signals Classification[J]. IEEE Access, 2021, 9: 88641-88650. SCI二区)

5、 Huang L, Xu S, Liu K, et al. A Fuzzy Radial Basis Adaptive Inference Network and Its Application to Time‐Varying Signal Classification[J]. Computational Intelligence and Neuroscience, 2021, 2021(1): 5528291.SCI三区)

6、 Yang R, Zha X, Liu K, et al. A CNN model embedded with local feature knowledge and its application to time-varying signal classification[J]. Neural Networks, 2021, 142: 564-572. SCI一区)

7、 Yang R, Yu J, Yin J, Liu K, et al. A dense R‐CNN multi‐target instance segmentation model and its application in medical image processing[J]. IET Image Processing, 2022, 16(9): 2495-2505. SCI四区)

8、 Yang R, Yu J, Yin J, Liu K, et al. An FA-SegNet image segmentation model based on fuzzy attention and its application in cardiac MRI segmentation[J]. International Journal of Computational Intelligence Systems, 2022, 15(1): 24. SCI四区)

9、 Yang R, Liu K, Xu S, et al. ViT-UperNet: a hybrid vision transformer with unified-perceptual-parsing network for medical image segmentation[J]. Complex & Intelligent Systems, 2024: 1-13. SCI二区)

10、 Zhang Z, Xu C, Liu K, et al. A resource optimization scheduling model and algorithm for heterogeneous computing clusters based on GNN and RL[J]. The Journal of Supercomputing, 2024, 80(16): 24138-24172.SCI三区)

11、 Liu K, Yang R, Qi L, et al. ART-Net: An Attention-Based Hybrid ResNet-Transformer Network for 12-lead ECG Signal Classification[C]//2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024: 3664-3670.EI会议)


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