Junkai Ji

87 papers A* 2A 1B 7Misc 2Journal 64Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
An explainable machine learning-based scoring function using interpretable features and model explanation approaches for binding affinity prediction.
Expert Syst. Appl.
Xingqian Chen, Shuangbao Song, Junkai Ji, Shuangyu Song, Xin Zhou, Hao Zhang
2026 J jnl
BioLM-Score: Language-Prior Conditioned Probabilistic Geometric Potentials for Protein-Ligand Scoring.
CoRR
Zhangfan Yang, Baoyun Chen, Dong Xu, Jia Wang, Ruibin Bai, Junkai Ji, Zexuan Zhu
2026 J jnl
Evaluating a novel incremental-input neural network for multivariate air temperature forecasting.
Eng. Appl. Artif. Intell.
Zhenyu Song, Shuangyu Song, Shuangbao Song, Lixing Tan, Cheng Tang, Junkai Ji
2026 J jnl
From Tokens to Blocks: A Block-Diffusion Perspective on Molecular Generation.
CoRR
Qianwei Yang, Dong Xu, Zhangfan Yang, Sisi Yuan, Zexuan Zhu, Jianqiang Li, Junkai Ji
2026 J jnl
Phage Host Prediction Using Deep Neural Network With Multi-Source Protein Language Models and Squeeze-and-Excitation Attention Mechanism.
IEEE J. Biomed. Health Informatics
Peng Gao, Long Xu, Yuan Bai, Qiuzhen Lin, Junkai Ji, Lijia Ma
2026 J jnl
PreferRec: Learning and Transferring Pareto Preferences for Multi-objective Re-ranking.
CoRR
Wei Zhou, Wuyang Li, Junkai Ji, Xueliang Li, Wenjing Hong, Zexuan Zhu, Xing Tang, Xiuqiang He
2026 J jnl
RIGA-Fold: A General Framework for Protein Inverse Folding via Recurrent Interaction and Geometric Awareness.
CoRR
Sisi Yuan, Jiehuang Chen, Junchuang Cai, Dong Xu, Xueliang Li, Zexuan Zhu, Junkai Ji
2026 J jnl
Rethinking Drug-Drug Interaction Modeling as Generalizable Relation Learning.
CoRR
Dong Xu, Jiantao Wu, Qihua Pan, Sisi Yuan, Zexuan Zhu, Junkai Ji
2026 J jnl
Unveiling Scaling Behaviors in Molecular Language Models: Effects of Model Size, Data, and Representation.
CoRR
Dong Xu, Qihua Pan, Sisi Yuan, Jianqiang Li, Zexuan Zhu, Junkai Ji
2026 A* conf
Zero-shot Recommendation: Towards Class Semantic Relation Learning for Inferring Labels of Unseen Micro-videos.
AAAI
Junyang Chen, Huan Wang, Yirui Wu, Qiuzhen Lin, Yunfeng Diao, Junkai Ji
2025 — conf
A Dual-Directional Context-Aware Test-Time Learning for Text Classification.
ICIC (18)
Dong Xu, MengYao Liao, ZhengLin Lai, Xueliang Li, Junkai Ji
2025 J jnl
A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble.
IEEE Comput. Intell. Mag.
Junkai Ji, Haochang Jin, Jiajun Zhao, Qiuzhen Lin, Jian-Qiang Li, Zexuan Zhu
2025 J jnl
A Survey on Evolutionary Computation-Based Drug Discovery.
IEEE Trans. Evol. Comput.
Qiyuan Yu, Qiuzhen Lin, Junkai Ji, Wei Zhou, Shan He, Zexuan Zhu, Kay Chen Tan
2025 J jnl
A temporally coded multilayer spiking neural network and its memristor-based hardware implementation.
Neurocomputing
Haochang Jin, Xiuzhi Yang, Shuangbao Song, Zhenyu Song, Junkai Ji
2025 J jnl
BoostSF-SHAP: Gradient boosting-based software for protein-ligand binding affinity prediction with explanations.
Neurocomputing
Xingqian Chen, Shuangbao Song, Zhenyu Song, Shuangyu Song, Junkai Ji
2025 J jnl
FROGENT: An End-to-End Full-process Drug Design Agent.
CoRR
Qihua Pan, Dong Xu, Jenna Xinyi Yao, Lijia Ma, Zexuan Zhu, Junkai Ji
2025 J jnl
Feasibility-guided search and prediction for dynamic constrained multiobjective evolutionary optimization.
Swarm Evol. Comput.
Lisha Dong, Qianhui Wang, Qiongfang Liu, Junkai Ji, Ka-Chun Wong, Qiuzhen Lin
2025 J jnl
Federated Intrusion Detection System With Cost-Sensitive Learning for Internet of Things.
IEEE Internet Things J.
Qiuzhen Lin, Wang Liu, Shaifeng Zheng, Junkai Ji, Ka-Chun Wong, Jianqiang Li, Carlos A. Coello Coello
2025 J jnl
IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data.
CoRR
Dong Xu, Zhangfan Yang, Jenna Xinyi Yao, Shuangbao Song, Zexuan Zhu, Junkai Ji
2025 J jnl
MDTL-ACP: Anticancer Peptides Prediction Based on Multi-Domain Transfer Learning.
IEEE J. Biomed. Health Informatics
Junhang Cao, Wei Zhou, Qiyuan Yu, Junkai Ji, Jun Zhang, Shan He, Zexuan Zhu
2025 J jnl
MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation.
CoRR
Dong Xu, Zhangfan Yang, Sisi Yuan, Jenna Xinyi Yao, Jiangqiang Li, Junkai Ji
2025 B conf
Multiobjective Clustering-Guided Multitasking for Diversified Sequential Recommendation.
CEC
Ruxin Wu, Wei Zhou, Junkai Ji, Sijun Peng, Siqin Peng, Zexuan Zhu
2025 A conf
Population-Based Multi-Objective Reinforcement Learning with Information Sharing and Differentiation.
ECAI
Xiaoqiang Wu, Qingling Zhu, Junkai Ji, Qiuzhen Lin, Wei-Neng Chen, Jianqiang Li
2025 J jnl
Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion.
CoRR
Dong Xu, Zhangfan Yang, Ka-Chun Wong, Zexuan Zhu, Jian-Qiang Li, Junkai Ji
2025 A* conf
Structure Balance and Gradient Matching-Based Signed Graph Condensation.
AAAI
Rong Li, Long Xu, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Lijia Ma
2025 J jnl
Supervised Momentum Contrastive Learning-Based Coarse-to-Fine Fusion Path Planning.
IEEE Trans Autom. Sci. Eng.
Jin Zhou, David Chieng, Boon Giin Lee, Junkai Ji, Zun Liu, Jianqiang Li
2025 J jnl
TG-CDDPM: text-guided antimicrobial peptides generation based on conditional denoising diffusion probabilistic model.
Briefings Bioinform.
Junhang Cao, Jun Zhang, Qiyuan Yu, Junkai Ji, Jianqiang Li, Shan He, Zexuan Zhu
2025 J jnl
Toward Closed-loop Molecular Discovery via Language Model, Property Alignment and Strategic Search.
CoRR
Junkai Ji, Zhangfan Yang, Dong Xu, Ruibin Bai, Jian-Qiang Li, Tingjun Hou, Zexuan Zhu
2024 B conf
A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization.
CEC
Yongfeng Li, Yuze Zhang, Lijia Ma, Junkai Ji, Dugang Liu, Victor C. M. Leung, Jianqiang Li
2024 B conf
A Surrogate-Assisted Evolutionary Algorithm for Expensive Dynamic Multimodal Optimzation.
CEC
Xunfeng Wu, Songbai Liu, Junkai Ji, Lijia Ma, Victor C. M. Leung
2024 J jnl
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model.
IEEE Trans. Emerg. Top. Comput. Intell.
Cheng Tang, Junkai Ji, Yuki Todo, Atsushi Shimada, Weiping Ding, Akimasa Hirata
2024 J jnl
Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening.
CoRR
Zhangfan Yang, Junkai Ji, Shan He, Jianqiang Li, Tiantian He, Ruibin Bai, Zexuan Zhu, Yew Soon Ong
2024 B conf
Evolutionary Multiobjective Feature Selection Assisted by Unselected Features.
CEC
Xuan Duan, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Kay Chen Tan
2024 J jnl
Generating logic circuit classifiers from dendritic neural model via multi-objective optimization.
Swarm Evol. Comput.
Haochang Jin, Chengtao Yang, Junkai Ji, Jin Zhou, Qiuzhen Lin, Jianqiang Li
2024 B conf
Many Objectives Autonomous Robot Path Planning with Improved MOEA/D.
CEC
Jin Zhou, David Chieng, Boon-Giin Lee, Junkai Ji, Jianqiang Li
2024 B conf
Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization.
CEC
Qianhui Wang, Qingling Zhu, Junkai Ji
2024 B conf
Personalized Federated Learning with Enhanced Implicit Generalization.
IJCNN
Heping Liu, Songbai Liu, Junkai Ji, Qiuzhen Lin, Jianyong Chen, Kay Chen Tan
2024 J jnl
Satisfying Energy-Efficiency Constraints for Mobile Systems.
IEEE Trans. Mob. Comput.
Xueliang Li, Shicong Hong, Junyang Chen, Junkai Ji, Chengwen Luo, Guihai Yan, Zhibin Yu, Jianqiang Li
2024 Misc conf
TransMUSIC: A Transformer-Aided Subspace Method for DOA Estimation with Low-Resolution ADCS.
ICASSP
Junkai Ji, Wei Mao, Feng Xi, Shengyao Chen
2023 J jnl
A complex network-based firefly algorithm for numerical optimization and time series forecasting.
Appl. Soft Comput.
Zhenyu Song, Cheng Tang, Shuangbao Song, Yajiao Tang, Jinhai Li, Junkai Ji
2023 J jnl
A novel molecular docking program based on a multi-swarm competitive algorithm.
Swarm Evol. Comput.
Jin Zhou, Zhangfan Yang, Ying He, Junkai Ji, Qiuzhen Lin, Jianqiang Li
2023 — conf
Adopting Autodock Koto for Virtual Screening of COVID-19.
ICIC (3)
Zhangfan Yang, Kun Cao, Junkai Ji, Zexuan Zhu, Jianqiang Li
2023 J jnl
AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking.
IEEE Trans. Evol. Comput.
Junkai Ji, Jin Zhou, Zhangfan Yang, Qiuzhen Lin, Carlos A. Coello Coello
2023 J jnl
Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model.
IEEE Trans. Cybern.
Junkai Ji, Jiajun Zhao, Qiuzhen Lin, Kay Chen Tan
2023 — conf
Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction.
ICONIP (15)
Qi Wang, Haiyan Zhang, Junkai Ji, Cheng Tang, Yajiao Tang
2023 J jnl
MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations.
Bioinform.
Minghao Yang, Zhi-An Huang, Wei Zhou, Junkai Ji, Jun Zhang, Shan He, Zexuan Zhu
2023 J jnl
Multi-objective evolving long-short term memory networks with attention for network intrusion detection.
Appl. Soft Comput.
Wenhong Wei, Yi Chen, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong, Jianqiang Li
2023 J jnl
Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression.
IEEE Trans. Cybern.
Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan
2022 J jnl
A cuckoo search algorithm with scale-free population topology.
Expert Syst. Appl.
Cheng Tang, Shuangbao Song, Junkai Ji, Yajiao Tang, Zheng Tang, Yuki Todo
2022 J jnl
A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells.
Knowl. Based Syst.
Cheng Tang, Yuki Todo, Junkai Ji, Zheng Tang
2022 J jnl
A survey on dendritic neuron model: Mechanisms, algorithms and practical applications.
Neurocomputing
Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, Yuki Todo
2022 J jnl
A survey on machine learning models for financial time series forecasting.
Neurocomputing
Yajiao Tang, Zhenyu Song, Yulin Zhu, Huaiyu Yuan, Maozhang Hou, Junkai Ji, Cheng Tang, Jianqiang Li
2022 J jnl
Adopting a dendritic neural model for predicting stock price index movement.
Expert Syst. Appl.
Yajiao Tang, Zhenyu Song, Yulin Zhu, Maozhang Hou, Cheng Tang, Junkai Ji
2022 Misc conf
Evolutionary Neural Architecture Design of Liquid State Machine for Image Classification.
ICASSP
Cheng Tang, Junkai Ji, Qiuzhen Lin, Yan Zhou
2022 J jnl
Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing.
Knowl. Based Syst.
Yi Chen, Qiuzhen Lin, Wenhong Wei, Junkai Ji, Ka-Chun Wong, Carlos A. Coello Coello
2022 J jnl
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets.
IEEE Trans. Emerg. Top. Comput. Intell.
Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello, Maoguo Gong
2021 J jnl
A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion.
Swarm Evol. Comput.
Qunfeng Liu, Xunfeng Wu, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong
2021 J jnl
Accuracy Versus Simplification in an Approximate Logic Neural Model.
IEEE Trans. Neural Networks Learn. Syst.
Junkai Ji, Yajiao Tang, Lijia Ma, Jianqiang Li, Qiuzhen Lin, Zheng Tang, Yuki Todo
2021 J jnl
Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism.
Algorithms
Zhenyu Song, Xuemei Yan, Lvxing Zhao, Luyi Fan, Cheng Tang, Junkai Ji
2021 — conf
An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction.
ICIC (1)
Cheng Tang, Zhenyu Song, Yajiao Tang, Huimei Tang, Yuxi Wang, Junkai Ji
2021 J jnl
Artificial immune system training algorithm for a dendritic neuron model.
Knowl. Based Syst.
Cheng Tang, Yuki Todo, Junkai Ji, Qiuzhen Lin, Zheng Tang
2021 J jnl
Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection.
Swarm Evol. Comput.
Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong
2021 J jnl
Forecasting Wind Speed Time Series Via Dendritic Neural Regression.
IEEE Comput. Intell. Mag.
Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan
2021 — conf
Network Intrusion Detection by an Approximate Logic Neural Model.
ISSRE Workshops
Jiajun Zhao, Qiuzhen Lin, Junkai Ji
2021 J jnl
Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression.
Appl. Soft Comput.
Minhui Dong, Cheng Tang, Junkai Ji, Qiuzhen Lin, Ka-Chun Wong
2020 J jnl
A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems.
Complex.
Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji, Qiuzhen Lin
2020 — conf
A Novel Plastic Neural Model with Dendritic Computation for Classification Problems.
ICIC (1)
Junkai Ji, Minhui Dong, Cheng Tang, Jiajun Zhao, Shuangbao Song
2020 J jnl
A multi-objective immune algorithm for intrusion feature selection.
Appl. Soft Comput.
Wenhong Wei, Shuo Chen, Qiuzhen Lin, Junkai Ji, Jianyong Chen
2020 J jnl
A novel machine learning technique for computer-aided diagnosis.
Eng. Appl. Artif. Intell.
Cheng Tang, Junkai Ji, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo
2020 J jnl
Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models.
Complex.
Xunfeng Wu, Shiwen Zhang, Zhe Gong, Junkai Ji, Qiuzhen Lin, Jianyong Chen
2020 J jnl
Evaluating a dendritic neuron model for wind speed forecasting.
Knowl. Based Syst.
Zhenyu Song, Yajiao Tang, Junkai Ji, Yuki Todo
2020 J jnl
Evolutionary Dendritic Neural Model for Classification Problems.
Complex.
Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, Junkai Ji
2020 — conf
Improving Approximate Logic Neuron Model by Means of a Novel Learning Algorithm.
ICIC (1)
Jiajun Zhao, Minhui Dong, Cheng Tang, Junkai Ji, Ying He
2020 J jnl
Incorporating a multiobjective knowledge-based energy function into differential evolution for protein structure prediction.
Inf. Sci.
Xingqian Chen, Shuangbao Song, Junkai Ji, Zheng Tang, Yuki Todo
2019 J jnl
A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction.
Complex.
Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo
2019 — conf
A Self-adaptive Mechanism Embedded Gravitational Search Algorithm.
ISCID (1)
Zhenyu Song, Cheng Tang, Xingqian Chen, Shuangyu Song, Junkai Ji
2019 J jnl
An artificial bee colony algorithm search guided by scale-free networks.
Inf. Sci.
Junkai Ji, Shuangbao Song, Cheng Tang, Shangce Gao, Zheng Tang, Yuki Todo
2019 J jnl
Approximate logic neuron model trained by states of matter search algorithm.
Knowl. Based Syst.
Junkai Ji, Shuangbao Song, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo
2019 — conf
Feature Selection Using an Improved Multi-objective Immune Algorithm for Intrusion Detection.
SSCI
Wenhong Wei, Shuo Chen, Qiuzhen Lin, Junkai Ji, Jianyong Chen
2019 J jnl
Neurons with Multiplicative Interactions of Nonlinear Synapses.
Int. J. Neural Syst.
Yuki Todo, Zheng Tang, Hiroyoshi Todo, Junkai Ji, Kazuya Yamashita
2018 — conf
A Novel Memetic Whale Optimization Algorithm for Optimization.
ICSI (1)
Zhe Xu, Yang Yu, Hanaki Yachi, Junkai Ji, Yuki Todo, Shangce Gao
2018 J jnl
A Pruning Neural Network Model in Credit Classification Analysis.
Comput. Intell. Neurosci.
Yajiao Tang, Junkai Ji, Shangce Gao, Hongwei Dai, Yang Yu, Yuki Todo
2018 J jnl
Adoption of an improved PSO to explore a compound multi-objective energy function in protein structure prediction.
Appl. Soft Comput.
Shuangbao Song, Junkai Ji, Xingqian Chen, Shangce Gao, Zheng Tang, Yuki Todo
2018 — conf
Galactic Gravitational Search Algorithm for Numerical Optimization.
ICSI (1)
Sheng Li, Fenggang Yuan, Yang Yu, Junkai Ji, Yuki Todo, Shangce Gao
2017 J jnl
Self-Adaptive Gravitational Search Algorithm With a Modified Chaotic Local Search.
IEEE Access
Junkai Ji, Shangce Gao, Shuaiqun Wang, Yajiao Tang, Hang Yu, Yuki Todo
2016 J jnl
An approximate logic neuron model with a dendritic structure.
Neurocomputing
Junkai Ji, Shangce Gao, Jiujun Cheng, Zheng Tang, Yuki Todo
2015 J jnl
A Breast Cancer Classifier Using a Neuron Model with Dendritic Nonlinearity.
IEICE Trans. Inf. Syst.
Zijun Sha, Lin Hu, Yuki Todo, Junkai Ji, Shangce Gao, Zheng Tang