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ORCIDJunkai Ji
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2020 – today
- 2024
[j39]Haochang Jin, Chengtao Yang, Junkai Ji
, Jin Zhou, Qiuzhen Lin, Jianqiang Li:
Generating logic circuit classifiers from dendritic neural model via multi-objective optimization. Swarm Evol. Comput. 91: 101740 (2024)- [j38]Cheng Tang, Junkai Ji, Yuki Todo, Atsushi Shimada, Weiping Ding, Akimasa Hirata:
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2228-2239 (2024) - [c18]Xuan Duan, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Kay Chen Tan:
Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. CEC 2024: 1-8 - [c17]Yongfeng Li, Yuze Zhang, Lijia Ma, Junkai Ji, Dugang Liu, Victor C. M. Leung, Jianqiang Li:
A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization. CEC 2024: 1-8 - [c16]Qianhui Wang, Qingling Zhu, Junkai Ji:
Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization. CEC 2024: 1-8 - [c15]Xunfeng Wu, Songbai Liu, Junkai Ji, Lijia Ma, Victor C. M. Leung:
A Surrogate-Assisted Evolutionary Algorithm for Expensive Dynamic Multimodal Optimzation. CEC 2024: 1-8 - [c14]Jin Zhou, David Chieng, Boon-Giin Lee, Junkai Ji, Jianqiang Li:
Many Objectives Autonomous Robot Path Planning with Improved MOEA/D. CEC 2024: 1-8 - [c13]Junkai Ji, Wei Mao, Feng Xi, Shengyao Chen:
TransMUSIC: A Transformer-Aided Subspace Method for DOA Estimation with Low-Resolution ADCS. ICASSP 2024: 8576-8580 - [c12]Heping Liu, Songbai Liu, Junkai Ji, Qiuzhen Lin, Jianyong Chen, Kay Chen Tan:
Personalized Federated Learning with Enhanced Implicit Generalization. IJCNN 2024: 1-8 - 2023
- [j37]Zhenyu Song, Cheng Tang, Shuangbao Song, Yajiao Tang, Jinhai Li, Junkai Ji:
A complex network-based firefly algorithm for numerical optimization and time series forecasting. Appl. Soft Comput. 137: 110158 (2023) - [j36]Wenhong Wei, Yi Chen, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong, Jianqiang Li:
Multi-objective evolving long-short term memory networks with attention for network intrusion detection. Appl. Soft Comput. 139: 110216 (2023) - [j35]Minghao Yang, Zhi-An Huang, Wei Zhou, Junkai Ji, Jun Zhang, Shan He, Zexuan Zhu:
MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations. Bioinform. 39(8) (2023) - [j34]Jin Zhou, Zhangfan Yang, Ying He, Junkai Ji, Qiuzhen Lin, Jianqiang Li:
A novel molecular docking program based on a multi-swarm competitive algorithm. Swarm Evol. Comput. 78: 101292 (2023) - [j33]Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan:
Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression. IEEE Trans. Cybern. 53(7): 4162-4174 (2023) - [j32]Junkai Ji, Jiajun Zhao, Qiuzhen Lin, Kay Chen Tan:
Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model. IEEE Trans. Cybern. 53(11): 6829-6842 (2023) - [j31]Junkai Ji, Jin Zhou, Zhangfan Yang, Qiuzhen Lin, Carlos A. Coello Coello:
AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking. IEEE Trans. Evol. Comput. 27(6): 1648-1662 (2023) - [c11]Zhangfan Yang, Kun Cao, Junkai Ji, Zexuan Zhu, Jianqiang Li:
Adopting Autodock Koto for Virtual Screening of COVID-19. ICIC (3) 2023: 752-763 - [c10]Qi Wang, Haiyan Zhang, Junkai Ji, Cheng Tang, Yajiao Tang:
Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction. ICONIP (15) 2023: 254-265 - 2022
- [j30]Cheng Tang, Shuangbao Song, Junkai Ji, Yajiao Tang, Zheng Tang, Yuki Todo:
A cuckoo search algorithm with scale-free population topology. Expert Syst. Appl. 188: 116049 (2022) - [j29]Yajiao Tang, Zhenyu Song, Yulin Zhu, Maozhang Hou, Cheng Tang, Junkai Ji:
Adopting a dendritic neural model for predicting stock price index movement. Expert Syst. Appl. 205: 117637 (2022) - [j28]Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, Yuki Todo:
A survey on dendritic neuron model: Mechanisms, algorithms and practical applications. Neurocomputing 489: 390-406 (2022) - [j27]Yajiao Tang, Zhenyu Song, Yulin Zhu, Huaiyu Yuan, Maozhang Hou, Junkai Ji, Cheng Tang, Jianqiang Li:
A survey on machine learning models for financial time series forecasting. Neurocomputing 512: 363-380 (2022) - [j26]Cheng Tang, Yuki Todo, Junkai Ji, Zheng Tang:
A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells. Knowl. Based Syst. 241: 108205 (2022) - [j25]Yi Chen, Qiuzhen Lin, Wenhong Wei, Junkai Ji, Ka-Chun Wong, Carlos A. Coello Coello:
Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing. Knowl. Based Syst. 244: 108505 (2022) - [j24]Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello, Maoguo Gong:
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 136-149 (2022) - [c9]Cheng Tang, Junkai Ji, Qiuzhen Lin, Yan Zhou:
Evolutionary Neural Architecture Design of Liquid State Machine for Image Classification. ICASSP 2022: 91-95 - 2021
- [j23]Zhenyu Song, Xuemei Yan, Lvxing Zhao, Luyi Fan, Cheng Tang, Junkai Ji:
Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism. Algorithms 14(8): 239 (2021) - [j22]Minhui Dong, Cheng Tang, Junkai Ji, Qiuzhen Lin, Ka-Chun Wong:
Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression. Appl. Soft Comput. 111: 107683 (2021) - [j21]Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan:
Forecasting Wind Speed Time Series Via Dendritic Neural Regression. IEEE Comput. Intell. Mag. 16(3): 50-66 (2021) - [j20]Cheng Tang, Yuki Todo, Junkai Ji, Qiuzhen Lin, Zheng Tang:
Artificial immune system training algorithm for a dendritic neuron model. Knowl. Based Syst. 233: 107509 (2021) - [j19]Qunfeng Liu, Xunfeng Wu, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong:
A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion. Swarm Evol. Comput. 60: 100787 (2021) - [j18]Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong:
Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection. Swarm Evol. Comput. 60: 100790 (2021) - [j17]Junkai Ji, Yajiao Tang, Lijia Ma, Jianqiang Li, Qiuzhen Lin, Zheng Tang, Yuki Todo:
Accuracy Versus Simplification in an Approximate Logic Neural Model. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5194-5207 (2021) - [c8]Cheng Tang, Zhenyu Song, Yajiao Tang, Huimei Tang, Yuxi Wang, Junkai Ji:
An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction. ICIC (1) 2021: 18-36 - [c7]Jiajun Zhao, Qiuzhen Lin, Junkai Ji:
Network Intrusion Detection by an Approximate Logic Neural Model. ISSRE Workshops 2021: 256-261 - 2020
- [j16]Wenhong Wei, Shuo Chen, Qiuzhen Lin, Junkai Ji, Jianyong Chen:
A multi-objective immune algorithm for intrusion feature selection. Appl. Soft Comput. 95: 106522 (2020) - [j15]Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji, Qiuzhen Lin:
A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems. Complex. 2020: 6238206:1-6238206:18 (2020) - [j14]Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, Junkai Ji:
Evolutionary Dendritic Neural Model for Classification Problems. Complex. 2020: 6296209:1-6296209:13 (2020) - [j13]Xunfeng Wu, Shiwen Zhang, Zhe Gong, Junkai Ji, Qiuzhen Lin, Jianyong Chen:
Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models. Complex. 2020: 9643273:1-9643273:22 (2020) - [j12]Cheng Tang, Junkai Ji, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo:
A novel machine learning technique for computer-aided diagnosis. Eng. Appl. Artif. Intell. 92: 103627 (2020) - [j11]Xingqian Chen, Shuangbao Song, Junkai Ji, Zheng Tang, Yuki Todo:
Incorporating a multiobjective knowledge-based energy function into differential evolution for protein structure prediction. Inf. Sci. 540: 69-88 (2020) - [j10]Zhenyu Song, Yajiao Tang, Junkai Ji, Yuki Todo:
Evaluating a dendritic neuron model for wind speed forecasting. Knowl. Based Syst. 201-202: 106052 (2020) - [c6]Junkai Ji, Minhui Dong, Cheng Tang, Jiajun Zhao, Shuangbao Song:
A Novel Plastic Neural Model with Dendritic Computation for Classification Problems. ICIC (1) 2020: 471-483 - [c5]Jiajun Zhao, Minhui Dong, Cheng Tang, Junkai Ji, Ying He:
Improving Approximate Logic Neuron Model by Means of a Novel Learning Algorithm. ICIC (1) 2020: 484-496
2010 – 2019
- 2019
- [j9]Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo:
A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction. Complex. 2019: 8682124:1-8682124:21 (2019) - [j8]Yuki Todo, Zheng Tang, Hiroyoshi Todo, Junkai Ji, Kazuya Yamashita:
Neurons with Multiplicative Interactions of Nonlinear Synapses. Int. J. Neural Syst. 29(8): 1950012:1-1950012:18 (2019) - [j7]Junkai Ji, Shuangbao Song, Cheng Tang, Shangce Gao, Zheng Tang, Yuki Todo:
An artificial bee colony algorithm search guided by scale-free networks. Inf. Sci. 473: 142-165 (2019) - [j6]Junkai Ji, Shuangbao Song, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo:
Approximate logic neuron model trained by states of matter search algorithm. Knowl. Based Syst. 163: 120-130 (2019) - [c4]Zhenyu Song, Cheng Tang, Xingqian Chen, Shuangyu Song, Junkai Ji:
A Self-adaptive Mechanism Embedded Gravitational Search Algorithm. ISCID (1) 2019: 108-112 - [c3]Wenhong Wei, Shuo Chen, Qiuzhen Lin, Junkai Ji, Jianyong Chen:
Feature Selection Using an Improved Multi-objective Immune Algorithm for Intrusion Detection. SSCI 2019: 1922-1927 - 2018
- [j5]Shuangbao Song, Junkai Ji, Xingqian Chen, Shangce Gao, Zheng Tang, Yuki Todo:
Adoption of an improved PSO to explore a compound multi-objective energy function in protein structure prediction. Appl. Soft Comput. 72: 539-551 (2018) - [j4]Yajiao Tang, Junkai Ji, Shangce Gao, Hongwei Dai, Yang Yu, Yuki Todo:
A Pruning Neural Network Model in Credit Classification Analysis. Comput. Intell. Neurosci. 2018: 9390410:1-9390410:22 (2018) - [c2]Zhe Xu, Yang Yu, Hanaki Yachi, Junkai Ji, Yuki Todo, Shangce Gao:
A Novel Memetic Whale Optimization Algorithm for Optimization. ICSI (1) 2018: 384-396 - [c1]Sheng Li, Fenggang Yuan, Yang Yu, Junkai Ji, Yuki Todo, Shangce Gao:
Galactic Gravitational Search Algorithm for Numerical Optimization. ICSI (1) 2018: 397-409 - 2017
- [j3]Junkai Ji, Shangce Gao, Shuaiqun Wang, Yajiao Tang, Hang Yu, Yuki Todo:
Self-Adaptive Gravitational Search Algorithm With a Modified Chaotic Local Search. IEEE Access 5: 17881-17895 (2017) - 2016
- [j2]Junkai Ji, Shangce Gao, Jiujun Cheng, Zheng Tang, Yuki Todo:
An approximate logic neuron model with a dendritic structure. Neurocomputing 173: 1775-1783 (2016) - 2015
- [j1]Zijun Sha, Lin Hu, Yuki Todo, Junkai Ji, Shangce Gao, Zheng Tang:
A Breast Cancer Classifier Using a Neuron Model with Dendritic Nonlinearity. IEICE Trans. Inf. Syst. 98-D(7): 1365-1376 (2015)
Coauthor Index
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last updated on 2024-11-07 21:32 CET by the dblp team
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