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)

An approximate logic neuron model with a dendritic structure. - Junkai Ji; Shangce Gao; Jiujun Cheng; Zheng Tang; Yuki Todo (Neurocomputing, 2016)

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)

Galactic Gravitational Search Algorithm for Numerical Optimization. - Sheng Li; Fenggang Yuan; Yang Yu 013; Junkai Ji; Yuki Todo; Shangce Gao (ICSI (1), 2018)

A Novel Memetic Whale Optimization Algorithm for Optimization. - Zhe Xu 013; Yang Yu 013; Hanaki Yachi; Junkai Ji; Yuki Todo; Shangce Gao (ICSI (1), 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 Pruning Neural Network Model in Credit Classification Analysis. - Yajiao Tang; Junkai Ji; Shangce Gao; Hongwei Dai; Yang Yu 013; Yuki Todo (Comput. Intell. Neurosci., 2018)

A Self-adaptive Mechanism Embedded Gravitational Search Algorithm. - Zhenyu Song; Cheng Tang 001; Xingqian Chen; Shuangyu Song; Junkai Ji (ISCID (1), 2019)

Feature Selection Using an Improved Multi-objective Immune Algorithm for Intrusion Detection. - Wenhong Wei; Shuo Chen 012; Qiuzhen Lin; Junkai Ji; Jianyong Chen (SSCI, 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)

Neurons with Multiplicative Interactions of Nonlinear Synapses. - Yuki Todo; Zheng Tang; Hiroyoshi Todo; Junkai Ji; Kazuya Yamashita (Int. J. Neural Syst., 2019)

An artificial bee colony algorithm search guided by scale-free networks. - Junkai Ji; Shuangbao Song; Cheng Tang 001; Shangce Gao; Zheng Tang; Yuki Todo (Inf. Sci., 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)

A Novel Plastic Neural Model with Dendritic Computation for Classification Problems. - Junkai Ji; Minhui Dong; Cheng Tang 001; Jiajun Zhao; Shuangbao Song (ICIC (1), 2020)

Improving Approximate Logic Neuron Model by Means of a Novel Learning Algorithm. - Jiajun Zhao; Minhui Dong; Cheng Tang 001; Junkai Ji; Ying He 006 (ICIC (1), 2020)

A multi-objective immune algorithm for intrusion feature selection. - Wenhong Wei; Shuo Chen 012; Qiuzhen Lin; Junkai Ji; Jianyong Chen (Appl. Soft Comput., 2020)

A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems. - Fei Chen 003; Shuhuan Wu; Fang Liu; Junkai Ji; Qiuzhen Lin (Complex., 2020)

Evolutionary Dendritic Neural Model for Classification Problems. - Xiaoxiao Qian; Cheng Tang 001; Yuki Todo; Qiuzhen Lin; Junkai Ji (Complex., 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)

A novel machine learning technique for computer-aided diagnosis. - Cheng Tang 001; Junkai Ji; Yajiao Tang; Shangce Gao; Zheng Tang; Yuki Todo (Eng. Appl. Artif. Intell., 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)

Evaluating a dendritic neuron model for wind speed forecasting. - Zhenyu Song; Yajiao Tang; Junkai Ji; Yuki Todo (Knowl. Based Syst., 2020)

An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction. - Cheng Tang 001; Zhenyu Song; Yajiao Tang; Huimei Tang; Yuxi Wang; Junkai Ji (ICIC (1), 2021)

Network Intrusion Detection by an Approximate Logic Neural Model. - Jiajun Zhao; Qiuzhen Lin; Junkai Ji (ISSRE Workshops, 2021)

Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism. - Zhenyu Song; Xuemei Yan; Lvxing Zhao; Luyi Fan; Cheng Tang 001; Junkai Ji (Algorithms, 2021)

Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression. - Minhui Dong; Cheng Tang 001; Junkai Ji; Qiuzhen Lin; Ka-Chun Wong (Appl. Soft Comput., 2021)

Forecasting Wind Speed Time Series Via Dendritic Neural Regression. - Junkai Ji; Minhui Dong; Qiuzhen Lin; Kay Chen Tan (IEEE Comput. Intell. Mag., 2021)

Artificial immune system training algorithm for a dendritic neuron model. - Cheng Tang 001; Yuki Todo; Junkai Ji; Qiuzhen Lin; Zheng Tang (Knowl. Based Syst., 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)

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)

Accuracy Versus Simplification in an Approximate Logic Neural Model. - Junkai Ji; Yajiao Tang; Lijia Ma; Jianqiang Li 001; Qiuzhen Lin; Zheng Tang; Yuki Todo (IEEE Trans. Neural Networks Learn. Syst., 2021)

Evolutionary Neural Architecture Design of Liquid State Machine for Image Classification. - Cheng Tang 001; Junkai Ji; Qiuzhen Lin; Yan Zhou (ICASSP, 2022)

A cuckoo search algorithm with scale-free population topology. - Cheng Tang 001; Shuangbao Song; Junkai Ji; Yajiao Tang; Zheng Tang; Yuki Todo (Expert Syst. Appl., 2022)

Adopting a dendritic neural model for predicting stock price index movement. - Yajiao Tang; Zhenyu Song; Yulin Zhu; Maozhang Hou; Cheng Tang 001; Junkai Ji (Expert Syst. Appl., 2022)

A survey on dendritic neuron model: Mechanisms, algorithms and practical applications. - Junkai Ji; Cheng Tang 001; Jiajun Zhao; Zheng Tang; Yuki Todo (Neurocomputing, 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 001; Jianqiang Li 001 (Neurocomputing, 2022)

Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing. - Yi Chen 020; Qiuzhen Lin; Wenhong Wei; Junkai Ji; Ka-Chun Wong; Carlos A. Coello Coello (Knowl. Based Syst., 2022)

A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells. - Cheng Tang 001; Yuki Todo; Junkai Ji; Zheng Tang (Knowl. Based Syst., 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)

Adopting Autodock Koto for Virtual Screening of COVID-19. - Zhangfan Yang; Kun Cao; Junkai Ji; Zexuan Zhu; Jianqiang Li 001 (ICIC (3), 2023)

Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction. - Qi Wang; Haiyan Zhang; Junkai Ji; Cheng Tang 001; Yajiao Tang (ICONIP (15), 2023)

A novel molecular docking program based on a multi-swarm competitive algorithm. - Jin Zhou; Zhangfan Yang; Ying He 006; Junkai Ji; Qiuzhen Lin; Jianqiang Li 001 (Swarm Evol. Comput., 2023)

Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression. - Junkai Ji; Minhui Dong; Qiuzhen Lin; Kay Chen Tan (IEEE Trans. Cybern., 2023)

A complex network-based firefly algorithm for numerical optimization and time series forecasting. - Zhenyu Song; Cheng Tang 001; Shuangbao Song; Yajiao Tang; Jinhai Li; Junkai Ji (Appl. Soft Comput., 2023)

Multi-objective evolving long-short term memory networks with attention for network intrusion detection. - Wenhong Wei; Yi Chen 020; Qiuzhen Lin; Junkai Ji; Ka-Chun Wong; Jianqiang Li 001 (Appl. Soft Comput., 2023)

MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations. - Minghao Yang; Zhi-An Huang; Wei Zhou 001; Junkai Ji; Jun Zhang 078; Shan He 001; Zexuan Zhu (Bioinform., 2023)

Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model. - Junkai Ji; Jiajun Zhao; Qiuzhen Lin; Kay Chen Tan (IEEE Trans. Cybern., 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., 2023)

Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. - Xuan Duan; Songbai Liu; Junkai Ji; Lingjie Li; Qiuzhen Lin; Kay Chen Tan (CEC, 2024)

A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization. - Yongfeng Li; Yuze Zhang; Lijia Ma; Junkai Ji; Dugang Liu; Victor C. M. Leung; Jianqiang Li 001 (CEC, 2024)

Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization. - Qianhui Wang; Qingling Zhu; Junkai Ji (CEC, 2024)

A Surrogate-Assisted Evolutionary Algorithm for Expensive Dynamic Multimodal Optimzation. - Xunfeng Wu; Songbai Liu; Junkai Ji; Lijia Ma; Victor C. M. Leung (CEC, 2024)

Many Objectives Autonomous Robot Path Planning with Improved MOEA/D. - Jin Zhou; David Chieng; Boon-Giin Lee; Junkai Ji; Jianqiang Li 001 (CEC, 2024)

TransMUSIC: A Transformer-Aided Subspace Method for DOA Estimation with Low-Resolution ADCS. - Junkai Ji; Wei Mao; Feng Xi; Shengyao Chen (ICASSP, 2024)

Personalized Federated Learning with Enhanced Implicit Generalization. - Heping Liu; Songbai Liu; Junkai Ji; Qiuzhen Lin; Jianyong Chen; Kay Chen Tan (IJCNN, 2024)

TG-CDDPM: text-guided antimicrobial peptides generation based on conditional denoising diffusion probabilistic model. - Junhang Cao; Jun Zhang 078; Qiyuan Yu; Junkai Ji; Jianqiang Li; Shan He; Zexuan Zhu (Briefings Bioinform., 2024)

Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening. - Zhangfan Yang; Junkai Ji; Shan He 001; Jianqiang Li 001; Tiantian He 001; Ruibin Bai; Zexuan Zhu; Yew Soon Ong (CoRR, 2024)

Generating logic circuit classifiers from dendritic neural model via multi-objective optimization. - Haochang Jin; Chengtao Yang; Junkai Ji; Jin Zhou; Qiuzhen Lin; Jianqiang Li 001 (Swarm Evol. Comput., 2024)

Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model. - Cheng Tang 001; Junkai Ji; Yuki Todo; Atsushi Shimada 001; Weiping Ding 001; Akimasa Hirata (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Satisfying Energy-Efficiency Constraints for Mobile Systems. - Xueliang Li 002; Shicong Hong; Junyang Chen 001; Junkai Ji; Chengwen Luo 001; Guihai Yan; Zhibin Yu 001; Jianqiang Li 001 (IEEE Trans. Mob. Comput., 2024)

Structure Balance and Gradient Matching-Based Signed Graph Condensation. - Rong Li; Long Xu; Songbai Liu; Junkai Ji; Lingjie Li; Qiuzhen Lin; Lijia Ma (AAAI, 2025)

Multiobjective Clustering-Guided Multitasking for Diversified Sequential Recommendation. - Ruxin Wu; Wei Zhou 001; Junkai Ji; Sijun Peng; Siqin Peng; Zexuan Zhu (CEC, 2025)

A Dual-Directional Context-Aware Test-Time Learning for Text Classification. - Dong Xu 023; MengYao Liao; Zhenglin Lai; Xueliang Li 002; Junkai Ji (ICIC (18), 2025)

BoostSF-SHAP: Gradient boosting-based software for protein-ligand binding affinity prediction with explanations. - Xingqian Chen; Shuangbao Song; Zhenyu Song; Shuangyu Song; Junkai Ji (Neurocomputing, 2025)

MDTL-ACP: Anticancer Peptides Prediction Based on Multi-Domain Transfer Learning. - Junhang Cao; Wei Zhou 001; Qiyuan Yu; Junkai Ji; Jun Zhang 078; Shan He 001; Zexuan Zhu (IEEE J. Biomed. Health Informatics, 2025)

A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble. - Junkai Ji; Haochang Jin; Jiajun Zhao; Qiuzhen Lin; Jian-Qiang Li 001; Zexuan Zhu (IEEE Comput. Intell. Mag., 2025)

Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion. - Dong Xu 023; Zhangfan Yang; Ka-Chun Wong; Zexuan Zhu; Jian-Qiang Li 001; Junkai Ji (CoRR, 2025)

A Survey on Evolutionary Computation-Based Drug Discovery. - Qiyuan Yu; Qiuzhen Lin; Junkai Ji; Wei Zhou 001; Shan He 001; Zexuan Zhu; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)

MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation. - Dong Xu 023; Zhangfan Yang; Sisi Yuan; Jenna Xinyi Yao; Jiangqiang Li; Junkai Ji (CoRR, 2025)

IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data. - Dong Xu 023; Zhangfan Yang; Jenna Xinyi Yao; Shuangbao Song; Zexuan Zhu; Junkai Ji (CoRR, 2025)