Publications - AI Drug Design Research Group

2025

A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble

A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble

Junkai Ji , Haochang Jin , Jiajun Zhao , Qiuzhen Lin , Jianqiang Li , Zexuan Zhu

IEEE Computational Intelligence Magazine 2025

2024

Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening

Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening

Zhangfan Yang , Junkai Ji , Shan He , Jianqiang Li , Tiantian He , Ruibin Bai , Zexuan Zhu , Yew Soon Ong

arXiv preprint 2024

Generating Logic Circuit Classifiers from Dendritic Neural Model via Multi-objective Optimization

Generating Logic Circuit Classifiers from Dendritic Neural Model via Multi-objective Optimization

Haochang Jin , Chengtao Yang , Junkai Ji , Jin Zhou , Qiuzhen Lin , Jianqiang Li

Swarm and Evolutionary Computation 2024

Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model

Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model

Cheng Tang , Junkai Ji , Yuki Todo , Atsushi Shimada , Weiping Ding , Akimasa Hirata

IEEE Transactions on Emerging Topics in Computational Intelligence 2024

2023

Adopting Autodock Koto for Virtual Screening of COVID-19

Adopting Autodock Koto for Virtual Screening of COVID-19

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

International Conference on Intelligent Computing 2023

A Novel Molecular Docking Program Based on a Multi-Swarm Competitive Algorithm

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 and Evolutionary Computation 2023

2022

AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking

AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking

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

IEEE Transactions on Evolutionary Computation 2022

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

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

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

IEEE Transactions on Cybernetics 2022

2021

Forecasting Wind Speed Time Series Via Dendritic Neural Regression

Forecasting Wind Speed Time Series Via Dendritic Neural Regression

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

IEEE Transactions on Neural Networks and Learning Systems 2021

2020

Accuracy Versus Simplification in an Approximate Logic Neural Model

Accuracy Versus Simplification in an Approximate Logic Neural Model

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

IEEE Transactions on Neural Networks and Learning Systems 2020

2019

Approximate Logic Neuron Model Trained by States of Matter Search Algorithm

Approximate Logic Neuron Model Trained by States of Matter Search Algorithm

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

Knowledge-Based Systems 2019

An Artificial Bee Colony Algorithm Search Guided by Scale-Free Networks

An Artificial Bee Colony Algorithm Search Guided by Scale-Free Networks

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

Information Sciences 2019

2016

Training a Dendritic Neural Model with Genetic Algorithm for Classification Problems

Training a Dendritic Neural Model with Genetic Algorithm for Classification Problems

Junkai Ji , Zhenyu Song , Yajiao Tang , Tao Jiang , Shangce Gao

2016 International Conference on Progress in Informatics and Computing (PIC) 2016

An Approximate Logic Neuron Model with a Dendritic Structure

An Approximate Logic Neuron Model with a Dendritic Structure

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

Neurocomputing 2016