A Novel Multi-objective Evolutionary Algorithm Based on a Further Decomposition Strategy. - Songbai Liu; Qiuzhen Lin; Jianyong Chen (CIS, 2017)

Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems. - Qiuzhen Lin; Songbai Liu; Qingling Zhu; Chaoyu Tang; Ruizhen Song; Jianyong Chen; Carlos A. Coello Coello; Ka-Chun Wong; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2018)

A novel multi-objective immune algorithm with a decomposition-based clonal selection. - Lingjie Li; Qiuzhen Lin; Songbai Liu; Dunwei Gong; Carlos A. Coello Coello; Zhong Ming 001 (Appl. Soft Comput., 2019)

A novel multi-objective evolutionary algorithm with dynamic decomposition strategy. - Songbai Liu; Qiuzhen Lin; Ka-Chun Wong; Lijia Ma; Carlos A. Coello Coello; Dunwei Gong (Swarm Evol. Comput., 2019)

A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems. - Qiuzhen Lin; Songbai Liu; Ka-Chun Wong; Maoguo Gong; Carlos A. Coello Coello; Jianyong Chen; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2019)

An adaptive clustering-based evolutionary algorithm for many-objective optimization problems. - Songbai Liu; Qiyuan Yu; Qiuzhen Lin; Kay Chen Tan (Inf. Sci., 2020)

Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization. - Songbai Liu; Qiuzhen Lin; Kay Chen Tan; Qing Li 001 (CoRR, 2021)

Evolutionary multi and many-objective optimization via clustering for environmental selection. - Songbai Liu; Junhao Zheng; Qiuzhen Lin; Kay Chen Tan (Inf. Sci., 2021)

Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation. - Songbai Liu; Min Jiang 005; Qiuzhen Lin; Kay Chen Tan (CEC, 2022)

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization. - Songbai Liu (CoRR, 2022)

A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. - Songbai Liu; Qiuzhen Lin; Kay Chen Tan; Maoguo Gong; Carlos A. Coello Coello (IEEE Trans. Cybern., 2022)

A Variable Importance-Based Differential Evolution for Large-Scale Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Ye Tian 009; Kay Chen Tan (IEEE Trans. Cybern., 2022)

A Self-Guided Reference Vector Strategy for Many-Objective Optimization. - Songbai Liu; Qiuzhen Lin; Ka-Chun Wong; Carlos A. Coello Coello; Jianqiang Li 001; Zhong Ming 001; Jun Zhang 003 (IEEE Trans. Cybern., 2022)

A Comprehensive Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Qing Li 001; Kay Chen Tan (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. - Xun Zhou; Songbai Liu; Ka-Chun Wong; Qiuzhen Lin; Kay Chen Tan (ICMLC, 2023)

Evolutionary Multitasking for Large-Scale Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Liang Feng 001; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. - Songbai Liu; Qiuzhen Lin; Ka-Chun Wong; Qing Li 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization. - Songbai Liu; Jun Li; Qiuzhen Lin; Ye Tian 009; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization. - Qiuzhen Lin; Jun Li; Songbai Liu; Lijia Ma; Jian-Qiang Li 001; Jianyong Chen (Swarm Evol. Comput., 2023)

A multi-label learning prediction model for heart failure in patients with atrial fibrillation based on expert knowledge of disease duration. - Youhe Huang; Rongfeng Zhang; Hongru Li; Yunlong Xia; Xia Yu; Songbai Liu; Yiheng Yang (Appl. Intell., 2023)

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Jianqiang Li 001; Kay Chen Tan (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 Surrogate-Assisted Evolutionary Algorithm for Expensive Dynamic Multimodal Optimzation. - Xunfeng Wu; Songbai Liu; Junkai Ji; Lijia Ma; Victor C. M. Leung (CEC, 2024)

Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. - Xiaoming Xue; Liang Feng 001; Cuie Yang; Songbai Liu; Linqi Song; Kay Chen Tan (CEC, 2024)

Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. - Zeyi Wang; Songbai Liu; Jianyong Chen; Kay Chen Tan (ICIC (2), 2024)

A High-Dimensional Feature Selection Method via Selection and Non-selection Operators and Local Search Mechanism in Particle Swarm Optimization. - Zhouming Zhu; Lingjie Li; Zhijiao Xiao; Songbai Liu; Lijia Ma; Qiuzhen Lin; Zhong Ming 001 (ICIC (2), 2024)

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

TS-TFSIAM: Time-series self-supervised learning with time-frequency SiameseNet. - Songbai Liu; Hongru Li; Youhe Huang; Shuang Wen 002 (Knowl. Based Syst., 2024)

Towards multi-objective high-dimensional feature selection via evolutionary multitasking. - Yinglan Feng; Liang Feng 001; Songbai Liu; Sam Kwong; Kay Chen Tan (Swarm Evol. Comput., 2024)

Coevolutionary multitasking for constrained multiobjective optimization. - Songbai Liu; Zeyi Wang; Qiuzhen Lin; Jianyong Chen (Swarm Evol. Comput., 2024)

Neural Net-Enhanced Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. - Lingjie Li; Yongfeng Li; Qiuzhen Lin; Songbai Liu; Junwei Zhou 002; Zhong Ming 001; Carlos A. Coello Coello (IEEE Trans. Cybern., 2024)

Toward Evolutionary Multitask Convolutional Neural Architecture Search. - Xun Zhou; Zhenkun Wang 001; Liang Feng 001; Songbai Liu; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Evolutionary Large-Scale Multiobjective Optimization via Autoencoder-Based Problem Transformation. - Songbai Liu; Jun Li; Qiuzhen Lin; Ye Tian 009; Jianqiang Li 001; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Evolutionary Optimization with a Simplified Helper Task for High-Dimensional Expensive Multiobjective Problems. - Xunfeng Wu; Qiuzhen Lin; Junwei Zhou 002; Songbai Liu; Carlos A. Coello Coello; Victor C. M. Leung (ACM Trans. Evol. Learn. Optim., 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)

An Enhanced Search Direction-Based Knowledge Transfer for Multiobjective Many-Tasking Evolutionary Optimization. - Wu Lin; Songbai Liu; Qingling Zhu; Qiuzhen Lin (CEC, 2025)

Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning. - Chengui Xiao; Songbai Liu (ICIC (18), 2025)

Learning improvement representations to accelerate evolutionary large-scale multiobjective optimization. - Songbai Liu; Zeyi Wang; Lijia Ma; Jianyong Chen; Xun Zhou (Inf. Sci., 2025)

Personalized federated learning with multiple classifier aggregation. - Shaifeng Zheng; Qingling Zhu; Qiuzhen Lin; Songbai Liu; Ka-Chun Wong; Jian-Qiang Li 001 (Knowl. Based Syst., 2025)

Multifaceted collaborative evolutionary constrained multimodal multiobjective optimization. - Zeyi Wang; Songbai Liu; Lijia Ma; Qiuzhen Lin; Jianyong Chen (Swarm Evol. Comput., 2025)

Evolutionary Neural Architecture Search for Transferable Networks. - Xun Zhou; Songbai Liu; A. Kai Qin; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Learning-Based Directional Improvement Prediction for Dynamic Multiobjective Optimization. - Yulong Ye; Songbai Liu; Junwei Zhou 002; Qiuzhen Lin; Min Jiang 005; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)