深圳大学新葡的京集团350vip8888
College of Computer Science and Software Engineering, SZU
吉君恺

副研究员

网络与信息安全研究所

Email:jijunkai@szu.edu.cn

吉君恺

吉君恺,男,深圳大学新葡的京集团350vip8888副研究员,

于2013年,合肥工业大学,化学工程与工艺专业,获得工学学士学位;

于2016年,日本富山大学,智能情报专业,获得工学硕士学位;

于2018年,日本富山大学,数理人类系统工程专业,获得工学博士学位。

 

研究兴趣包括:神经网络,进化计算,计算机辅助药物设计。

累计发表期刊及会议论文47篇,申请专利3项,主持国家级和省级项目各1项。

 

研究成果包括:

[1] Junkai Ji, Yajiao Tang, Lijia Ma, Jianqiang Li, Qiuzhen Lin, Zheng Tang, and Yuki Todo. "Accuracy Versus Simplification in an Approximate Logic Neural Model." IEEE Transactions on Neural Networks and Learning Systems (2020). 

[2] Junkai Ji, Jiajun Zhao, Qiuzhen Lin, and Kay Chen Tan. "Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model." IEEE Transactions on Cybernetics (2022).

[3] Junkai Ji, Minhui Dong, Qiuzhen Lin, and Kay Chen Tan. "Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression." IEEE Transactions on Cybernetics (2022).

[4] Junkai Ji, Minhui Dong, Qiuzhen Lin, and Kay Chen Tan. "Forecasting Wind Speed Time Series Via Dendritic Neural Regression." IEEE Computational Intelligence Magazine 16, no. 3 (2021): 50-66.

[5] Junkai Ji, Shuangbao Song, Cheng Tang, Shangce Gao, Zheng Tang and Yuki Todo*, "An artificial bee colony algorithm search guided by scale-free networks." Information Sciences, 473 (2019): 142-165.

[6] Junkai Ji, Shuangbao Song, Yajiao Tang, Shangce Gao, Zheng Tang and Yuki Todo, "Approximate logic neuron model trained by states of matter search algorithm." Knowledge-Based Systems, 163 (2019): 120-130.

[7] Junkai Ji, Shangce Gao, Jiujun Cheng, Zheng Tang, and Yuki Todo, "An approximate logic neuron model with a dendritic structure." Neurocomputing 173 (2016): 1775-1783.

[8] Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, and Yuki Todo. "A Survey on Dendritic Neuron Model: Mechanisms, Algorithms and Practical Applications." Neurocomputing (2022).

 

 

个人主页:http://www.dnm.net.cn/
XML 地图