Junkai Ji

According to our database, Junkai Ji authored at least 48 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking.

Junkai Ji, Jin Zhou, Zhangfan Yang, Qiuzhen Lin, Carlos A. Coello Coello

IEEE Trans. Evol. Comput., December, 2023

Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model.

Junkai Ji, Jiajun Zhao, Qiuzhen Lin, Kay Chen Tan

IEEE Trans. Cybern., November, 2023

MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations.

Minghao Yang, Zhi-An Huang, Wei Zhou, Junkai Ji, Jun Zhang, Shan He, Zexuan Zhu

Bioinform., August, 2023

Multi-objective evolving long-short term memory networks with attention for network intrusion detection.

Wenhong Wei, Yi Chen, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong, Jianqiang Li

Appl. Soft Comput., May, 2023

A complex network-based firefly algorithm for numerical optimization and time series forecasting.

Zhenyu Song, Cheng Tang, Shuangbao Song, Yajiao Tang, Jinhai Li, Junkai Ji

Appl. Soft Comput., April, 2023

Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression.

Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan

IEEE Trans. Cybern., 2023

A novel molecular docking program based on a multi-swarm competitive algorithm.

Jin Zhou, Zhangfan Yang, Ying He, Junkai Ji, Qiuzhen Lin, Jianqiang Li

Swarm Evol. Comput., 2023

Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction.

Qi Wang, Haiyan Zhang, Junkai Ji, Cheng Tang, Yajiao Tang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Adopting Autodock Koto for Virtual Screening of COVID-19.

Zhangfan Yang, Kun Cao, Junkai Ji, Zexuan Zhu, Jianqiang Li

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets.

Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello, Maoguo Gong

IEEE Trans. Emerg. Top. Comput. Intell., 2022

A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells.

Cheng Tang, Yuki Todo, Junkai Ji, Zheng Tang

Knowl. Based Syst., 2022

Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing.

Yi Chen, Qiuzhen Lin, Wenhong Wei, Junkai Ji, Ka-Chun Wong, Carlos A. Coello Coello

Knowl. Based Syst., 2022

A survey on machine learning models for financial time series forecasting.

Yajiao Tang, Zhenyu Song, Yulin Zhu, Huaiyu Yuan, Maozhang Hou, Junkai Ji, Cheng Tang, Jianqiang Li

Neurocomputing, 2022

A survey on dendritic neuron model: Mechanisms, algorithms and practical applications.

Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, Yuki Todo

Neurocomputing, 2022

Adopting a dendritic neural model for predicting stock price index movement.

Yajiao Tang, Zhenyu Song, Yulin Zhu, Maozhang Hou, Cheng Tang, Junkai Ji

Expert Syst. Appl., 2022

A cuckoo search algorithm with scale-free population topology.

Cheng Tang, Shuangbao Song, Junkai Ji, Yajiao Tang, Zheng Tang, Yuki Todo

Expert Syst. Appl., 2022

Evolutionary Neural Architecture Design of Liquid State Machine for Image Classification.

Cheng Tang, Junkai Ji, Qiuzhen Lin, Yan Zhou

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Accuracy Versus Simplification in an Approximate Logic Neural Model.

Junkai Ji, Yajiao Tang, Lijia Ma, Jianqiang Li, Qiuzhen Lin, Zheng Tang, Yuki Todo

IEEE Trans. Neural Networks Learn. Syst., 2021

A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion.

Qunfeng Liu, Xunfeng Wu, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong

Swarm Evol. Comput., 2021

Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection.

Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong

Swarm Evol. Comput., 2021

Artificial immune system training algorithm for a dendritic neuron model.

Cheng Tang, Yuki Todo, Junkai Ji, Qiuzhen Lin, Zheng Tang

Knowl. Based Syst., 2021

Forecasting Wind Speed Time Series Via Dendritic Neural Regression.

Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan

IEEE Comput. Intell. Mag., 2021

Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression.

Minhui Dong, Cheng Tang, Junkai Ji, Qiuzhen Lin, Ka-Chun Wong

Appl. Soft Comput., 2021

Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism.

Zhenyu Song, Xuemei Yan, Lvxing Zhao, Luyi Fan, Cheng Tang, Junkai Ji

Algorithms, 2021

Network Intrusion Detection by an Approximate Logic Neural Model.

Jiajun Zhao, Qiuzhen Lin, Junkai Ji

Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction.

Cheng Tang, Zhenyu Song, Yajiao Tang, Huimei Tang, Yuxi Wang, Junkai Ji

Proceedings of the Intelligent Computing Theories and Application, 2021

2020

Evaluating a dendritic neuron model for wind speed forecasting.

Zhenyu Song, Yajiao Tang, Junkai Ji, Yuki Todo

Knowl. Based Syst., 2020

Incorporating a multiobjective knowledge-based energy function into differential evolution for protein structure prediction.

Xingqian Chen, Shuangbao Song, Junkai Ji, Zheng Tang, Yuki Todo

Inf. Sci., 2020

A novel machine learning technique for computer-aided diagnosis.

Cheng Tang, Junkai Ji, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo

Eng. Appl. Artif. Intell., 2020

Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models.

Xunfeng Wu, Shiwen Zhang, Zhe Gong, Junkai Ji, Qiuzhen Lin, Jianyong Chen

Complex., 2020

Evolutionary Dendritic Neural Model for Classification Problems.

Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, Junkai Ji

Complex., 2020

A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems.

Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji, Qiuzhen Lin

Complex., 2020

A multi-objective immune algorithm for intrusion feature selection.

Wenhong Wei, Shuo Chen, Qiuzhen Lin, Junkai Ji, Jianyong Chen

Appl. Soft Comput., 2020

Improving Approximate Logic Neuron Model by Means of a Novel Learning Algorithm.

Jiajun Zhao, Minhui Dong, Cheng Tang, Junkai Ji, Ying He

Proceedings of the Intelligent Computing Theories and Application, 2020

A Novel Plastic Neural Model with Dendritic Computation for Classification Problems.

Junkai Ji, Minhui Dong, Cheng Tang, Jiajun Zhao, Shuangbao Song

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

Approximate logic neuron model trained by states of matter search algorithm.

Junkai Ji, Shuangbao Song, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo

Knowl. Based Syst., 2019

An artificial bee colony algorithm search guided by scale-free networks.

Junkai Ji, Shuangbao Song, Cheng Tang, Shangce Gao, Zheng Tang, Yuki Todo

Inf. Sci., 2019

Neurons with Multiplicative Interactions of Nonlinear Synapses.

Yuki Todo, Zheng Tang, Hiroyoshi Todo, Junkai Ji, Kazuya Yamashita

Int. J. Neural Syst., 2019

A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction.

Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo

Complex., 2019

Feature Selection Using an Improved Multi-objective Immune Algorithm for Intrusion Detection.

Wenhong Wei, Shuo Chen, Qiuzhen Lin, Junkai Ji, Jianyong Chen

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Self-adaptive Mechanism Embedded Gravitational Search Algorithm.

Zhenyu Song, Cheng Tang, Xingqian Chen, Shuangyu Song, Junkai Ji

Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

2018

A Pruning Neural Network Model in Credit Classification Analysis.

Yajiao Tang, Junkai Ji, Shangce Gao, Hongwei Dai, Yang Yu, Yuki Todo

Comput. Intell. Neurosci., 2018

Adoption of an improved PSO to explore a compound multi-objective energy function in protein structure prediction.

Shuangbao Song, Junkai Ji, Xingqian Chen, Shangce Gao, Zheng Tang, Yuki Todo

Appl. Soft Comput., 2018

A Novel Memetic Whale Optimization Algorithm for Optimization.

Zhe Xu, Yang Yu, Hanaki Yachi, Junkai Ji, Yuki Todo, Shangce Gao

Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018

Galactic Gravitational Search Algorithm for Numerical Optimization.

Sheng Li, Fenggang Yuan, Yang Yu, Junkai Ji, Yuki Todo, Shangce Gao

Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018

2017

Self-Adaptive Gravitational Search Algorithm With a Modified Chaotic Local Search.

Junkai Ji, Shangce Gao, Shuaiqun Wang, Yajiao Tang, Hang Yu, Yuki Todo

IEEE Access, 2017

2016

An approximate logic neuron model with a dendritic structure.

Junkai Ji, Shangce Gao, Jiujun Cheng, Zheng Tang, Yuki Todo

Neurocomputing, 2016

2015

A Breast Cancer Classifier Using a Neuron Model with Dendritic Nonlinearity.

Zijun Sha, Lin Hu, Yuki Todo, Junkai Ji, Shangce Gao, Zheng Tang

IEICE Trans. Inf. Syst., 2015