吉君恺，博士
深圳大学，助理教授
邮箱： jijunkai@szu.edu.cn
AI药物设计课题组主页：https://szuaddg.com/
教育背景：
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，智能信息工程专业，获得工学硕士学位；
于2018年，日本富山大学，数理与人类系统科学专业，获得工学博士学位。
研究兴趣：
人工智能药物设计，脑启发式神经网络；
累计发表期刊及会议论文70余篇，申请专利4项；
主持国家自然基金面上项目，青年项目，广东省面上项目，联合基金青年基金项目，深圳市自然基金面上项目。
[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).
