Optimization Using a New Bio-inspired Approach. - Xiang Feng 002; Francis C. M. Lau 001; Daqi Gao (Complex (1), 2009)

Cache Allocation in CDN: An Evolutionary Game Generalized Particle Model. - Xiang Feng 002; Francis C. M. Lau 001; Daqi Gao (Complex (2), 2009)

A New Bio-inspired Approach to the Traveling Salesman Problem. - Xiang Feng 002; Francis C. M. Lau 001; Daqi Gao (Complex (2), 2009)

A novel bio-inspired approach based on the behavior of mosquitoes. - Xiang Feng 002; Francis C. M. Lau 001; Huiqun Yu (Inf. Sci., 2013)

Behavioral modeling with the new bio-inspired coordination generalized molecule model algorithm. - Xiang Feng 002; Francis C. M. Lau 001; Huiqun Yu (Inf. Sci., 2013)

Multi-kernel classification machine with reduced complexity. - Zhe Wang 002; Changming Zhu; Zengxin Niu; Daqi Gao; Xiang Feng 002 (Knowl. Based Syst., 2014)

Social Group Search Optimizer Algorithm for Ad Hoc Network. - Xiang Feng 002; Meiyi Ma; Huiqun Yu; Zhe Wang 002 (Ad Hoc Sens. Wirel. Networks, 2015)

Double-fold localized multiple matrixized learning machine. - Changming Zhu; Zhe Wang 002; Daqi Gao; Xiang Feng 002 (Inf. Sci., 2015)

A novel optimization algorithm inspired by the creative thinking process. - Xiang Feng 002; Ru Zou; Huiqun Yu (Soft Comput., 2015)

Group mosquito host-seeking algorithm. - Xiang Feng 002; Xiaoting Liu; Huiqun Yu (Appl. Intell., 2016)

Crystal Energy Optimization Algorithm. - Xiang Feng 002; Meiyi Ma; Huiqun Yu (Comput. Intell., 2016)

A new internet of things group search optimizer. - Xiang Feng 002; Xiaoting Liu; Huiqun Yu (Int. J. Commun. Syst., 2016)

A Competitive Social Spider Optimization with Learning Strategy for PID Controller Optimization. - Zhaolin Lai; Xiang Feng 002; Huiqun Yu (SEAL, 2017)

A new multi-colony fairness algorithm for feature selection. - Xiang Feng 002; Tan Yang; Huiqun Yu (Soft Comput., 2017)

Mosquito Host-Seeking Algorithm Based on Random Walk and Game of Life. - Yunxin Zhu; Xiang Feng 002; Huiqun Yu (ICIC (2), 2018)

Particle state change algorithm. - Xiang Feng 002; Hanyu Xu; Huiqun Yu; Fei Luo 002 (Soft Comput., 2018)

A Novel Intelligence Algorithm Based on the Social Group Optimization Behaviors. - Xiang Feng 002; Yuanbo Wang; Huiqun Yu; Fei Luo 002 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

基于状态转移和模糊思考的迁徙优化算法 (Migration Optimization Algorithm Based on State Transition and Fuzzy Thinking). - Dajian Zhong; Xiang Feng 002; Huiqun Yu (计算机科学, 2019)

Physarum-energy optimization algorithm. - Xiang Feng 002; Yang Liu; Huiqun Yu; Fei Luo 002 (Soft Comput., 2019)

The social team building optimization algorithm. - Xiang Feng 002; Hanyu Xu; Yuanbo Wang; Huiqun Yu (Soft Comput., 2019)

A novel parallel object-tracking behavior algorithm based on dynamics for data clustering. - Xiang Feng 002; Zhaolin Lai; Huiqun Yu (Soft Comput., 2020)

A clustering algorithm based on emotional preference and migratory behavior. - Xiang Feng 002; Dajian Zhong; Huiqun Yu (Soft Comput., 2020)

Group competition-cooperation optimization algorithm. - Haijuan Chen; Xiang Feng 002; Huiqun Yu (Appl. Intell., 2021)

Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes. - Yanjia Tian; Xiang Feng 002 (Mob. Inf. Syst., 2021)

Large Margin Graph Embedding-Based Discriminant Dimensionality Reduction. - Yanjia Tian; Xiang Feng 002 (Sci. Program., 2021)

A Parallel Social Spider Optimization Algorithm Based on Emotional Learning. - Zhaolin Lai; Xiang Feng 002; Huiqun Yu; Fei Luo 002 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A Novel Spectral Ensemble Clustering Algorithm Based on Social Group Migratory Behavior and Emotional Preference. - Mingzhi Dai; Xiang Feng 002; Huiqun Yu; Weibin Guo (KSEM (3), 2022)

A migratory behavior and emotional preference clustering algorithm based on learning vector quantization and gaussian mixture model. - Mingzhi Dai; Xiang Feng 002; Huiqun Yu; Weibin Guo (Appl. Intell., 2022)

Multi-granularity competition-cooperation optimization algorithm with adaptive parameter configuration. - Mengqi Gao; Xiang Feng 002; Huiqun Yu; Zijun Zheng (Appl. Intell., 2022)

Cooperative density-aware representation learning for few-shot visual recognition. - Zijun Zheng; Xiang Feng 002; Huiqun Yu; Mengqi Gao (Neurocomputing, 2022)

A constrained multiobjective evolutionary algorithm with the two-archive weak cooperation. - Yingwei Li; Xiang Feng 002; Huiqun Yu (Inf. Sci., 2022)

Broad learning algorithm of cascaded enhancement nodes based on phase space reconstruction. - Xinyu Cai; Xiang Feng 002; Huiqun Yu (Appl. Intell., 2023)

BDLA: Bi-directional local alignment for few-shot learning. - Zijun Zheng; Xiang Feng 002; Huiqun Yu; Xiuquan Li; Mengqi Gao (Appl. Intell., 2023)

An opposition-based differential evolution clustering algorithm for emotional preference and migratory behavior optimization. - Mingzhi Dai; Xiang Feng 002; Huiqun Yu; Weibin Guo (Knowl. Based Syst., 2023)

Unsupervised few-shot image classification via one-vs-all contrastive learning. - Zijun Zheng; Xiang Feng 002; Huiqun Yu; Xiuquan Li; Mengqi Gao (Appl. Intell., 2023)

Small-sample size problems solving based on incremental learning: an adaptive Bayesian quadrature approach. - Yiding Feng; Xiang Feng 002; Huiqun Yu (Appl. Intell., 2023)

A Monte Carlo manifold spectral clustering algorithm based on emotional preference and migratory behavior. - Mingzhi Dai; Xiang Feng 002; Huiqun Yu; Weibin Guo; Xiuquan Li (Appl. Intell., 2023)

An efficient evolutionary algorithm based on deep reinforcement learning for large-scale sparse multiobjective optimization. - Mengqi Gao; Xiang Feng 002; Huiqun Yu; Xiuquan Li (Appl. Intell., 2023)

A large-scale multiobjective evolutionary algorithm with overlapping decomposition and adaptive reference point selection. - Mengqi Gao; Xiang Feng 002; Huiqun Yu; Xiuquan Li (Appl. Intell., 2023)

Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks. - Yanjia Tian; Yan Dong; Xiang Feng 002 (J. Grid Comput., 2023)

Contrastive variational auto-encoder driven convergence guidance in evolutionary multitasking. - Ruilin Wang; Xiang Feng 002; Huiqun Yu (Appl. Soft Comput., 2024)

To be global or personalized: Generalized federated learning with cooperative adaptation for data heterogeneity. - Kaijian Ding; Xiang Feng 002; Huiqun Yu (Knowl. Based Syst., 2024)

Few-shot classification via efficient meta-learning with hybrid optimization. - Jinfang Jia; Xiang Feng 002; Huiqun Yu (Eng. Appl. Artif. Intell., 2024)

A Brain-Inspired Incremental Multitask Reinforcement Learning Approach. - Chenying Jin; Xiang Feng 002; Huiqun Yu (IEEE Trans. Cogn. Dev. Syst., 2024)

A Dynamic Knowledge-Guided Coevolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. - Yingwei Li; Xiang Feng 002; Huiqun Yu (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary Multitasking. - Ruilin Wang; Xiang Feng 002; Huiqun Yu; Edmund M.-K. Lai (GECCO, 2025)

A safe multi-agent reinforcement learning algorithm using constraint update projection approach. - Yang Liu; Xiang Feng 002; Huiqun Yu (Eng. Appl. Artif. Intell., 2025)

HyperMem: Hypernetwork with memory for forgetting problem in federated reinforcement learning. - Suhang Wei; Xiang Feng 002; Yang Xu; Huiqun Yu (Expert Syst. Appl., 2025)

PSCD: Synergistic optimization of parameter sharing and chain distillation for plasticity-stability balance in continual learning. - Haijie Jiang; Suhang Wei; Xiang Feng 002; Huiqun Yu (Knowl. Based Syst., 2025)

Embracing Multiheterogeneity and Privacy Security Simultaneously: A Dynamic Privacy-Aware Federated Reinforcement Learning Approach. - Chenying Jin; Xiang Feng 002; Huiqun Yu (IEEE Trans. Neural Networks Learn. Syst., 2025)

An emotional preference ensemble clustering based on directional increment and non-linear cosine adaptive crossover and mutation. - Mingzhi Dai; Xiang Feng 002; Huiqun Yu; Weibin Guo (Appl. Intell., 2025)

MAST: Multiagent Safe Transformer for Reinforcement Learning. - Suhang Wei; Xianwei Wang; Xiang Feng 002; Huiqun Yu (IEEE Trans. Cogn. Dev. Syst., 2025)

Solving High-Dimensional Expensive Multiobjective Optimization Problems by Adaptive Decision Variable Grouping. - Yingwei Li; Xiang Feng 002; Huiqun Yu (IEEE Trans. Evol. Comput., 2025)

Prediction, Generation of WWTPs microbiome community structures and Clustering of WWTPs various feature attributes using DE-BP model, SiTime-GAN model and DPNG-EPMC ensemble clustering algorithm with modulation of microbial ecosystem health. - Mingzhi Dai; Weiwei Cai; Xiang Feng 002; Huiqun Yu; Weibin Guo; Miao Guo (CoRR, 2025)

Trustworthy distributed mirror learning for secure and private multi-agent coordination. - Suhang Wei; Jinfang Jia; Xiang Feng 002; Huiqun Yu (Eng. Appl. Artif. Intell., 2026)

Dynamic adaptive attention optimization for cross-domain few-shot learning. - Jinfang Jia; Xiang Feng 002; Huiqun Yu (Expert Syst. Appl., 2026)

Efficient and safe decision-making in reinforcement learning: One-step anticipatory policy selector with adaptive safety thresholds. - Jiahao Pan; Xiang Feng 002; Huiqun Yu (Expert Syst. Appl., 2026)

A privacy protection mechanism in distributed reinforcement learning using zero-knowledge proof. - Changjin Zhao; Xiang Feng 002; Huiqun Yu (Future Gener. Comput. Syst., 2026)

A Multi-Agent Continual reinforcement learning framework with multi-Timescale replay and dynamic task classification. - Yang Liu; Xiang Feng 002; Huiqun Yu (Neural Networks, 2026)

Component-level knowledge transfer based on diffusion model in evolutionary multitasking. - Ruilin Wang; Xiang Feng 002; Huiqun Yu (Swarm Evol. Comput., 2026)

A Cooperative Multiagent Reinforcement Learning Method Based on Reward Decomposition for Scalable Agent Environments. - Suhang Wei; Zonghang Zhao; Xiang Feng 002; Huiqun Yu (IEEE Trans. Cogn. Dev. Syst., 2026)

Enhancing Landscape Approximation With Ensemble-Based Surrogate Model for Expensive Constrained Multiobjective Optimization. - Yingwei Li; Xiang Feng 002; Huiqun Yu (IEEE Trans. Evol. Comput., 2026)