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)

AIMOES: Archive information assisted multi-objective evolutionary strategy for ab initio protein structure prediction. - Shuangbao Song; Shangce Gao; Xingqian Chen; Dongbao Jia; Xiaoxiao Qian; Yuki Todo (Knowl. Based Syst., 2018)

Incorporation of Solvent Effect into Multi-Objective Evolutionary Algorithm for Improved Protein Structure Prediction. - Shangce Gao; Shuangbao Song; Jiujun Cheng; Yuki Todo; MengChu Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Training an Approximate Logic Dendritic Neuron Model Using Social Learning Particle Swarm Optimization Algorithm. - Shuangyu Song; Xingqian Chen; Cheng Tang 001; Shuangbao Song; Zheng Tang; Yuki Todo (IEEE Access, 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)

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)

A Two-Stage Method Based on Multiobjective Differential Evolution for Gene Selection. - Shuangbao Song; Xingqian Chen; Zheng Tang; Yuki Todo (Comput. Intell. Neurosci., 2021)

Protein-ligand docking using differential evolution with an adaptive mechanism. - Shuangbao Song; Xingqian Chen; Yanxin Zhang; Zheng Tang; Yuki Todo (Knowl. Based Syst., 2021)

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)

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)

Improving the artificial bee colony algorithm with a proprietary estimation of distribution mechanism for protein-ligand docking. - Shuangbao Song; Cheng Tang 001; Zhenyu Song; Jia Qu; Xingqian Chen (Appl. Soft Comput., 2024)

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)

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)