Ji Junkai, PhD
Assistant Professor, Shenzhen University
Email: jijunkai@szu.edu.cn
AI Drug Design Group Homepage: https://szuaddg.com/
Education Background:
2013, Hefei University of Technology, Chemical Engineering and Technology, Bachelor of Engineering;
2016, University of Toyama, Japan, Intelligent Information Engineering, Master of Engineering;
2018, University of Toyama, Japan, Mathematical and Human Systems Science, PhD.
Research Interests:
Artificial intelligence drug design, brain-inspired neural networks;
Published over 70 journal and conference papers, applied for 4 patents;
Principal Investigator: National Natural Science Foundation of China (NSFC) General Program, Youth Program, Guangdong Provincial NSFC General Program, Joint Fund Youth Program, Shenzhen Natural Science Foundation General Program.
[1] Junkai Ji, Jin Zhou, Zhangfan Yang, Qiuzhen Lin, and Carlos A. Coello Coello. "AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking."IEEE Transactions on Evolutionary Computation(2022).
[2] 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).
[3] 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).
[4] Junkai Ji, Minhui Dong, Qiuzhen Lin, and Kay Chen Tan. "Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression."IEEE Transactions on Cybernetics(2022).
[5] Junkai Ji, Minhui Dong, Qiuzhen Lin, and Kay Chen Tan. "Forecasting Wind Speed Time Series Via Dendritic Neural Regression."IEEE Computational Intelligence Magazine16, no. 3 (2021): 50-66.
[6] 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.
[7] 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.
[8] Junkai Ji, Shangce Gao, Jiujun Cheng, Zheng Tang, and Yuki Todo, "An approximate logic neuron model with a dendritic structure."Neurocomputing173 (2016): 1775-1783.
[9] Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, and Yuki Todo. "A Survey on Dendritic Neuron Model: Mechanisms, Algorithms and Practical Applications."Neurocomputing(2022).
