Xingqian Chen

According to our database, Xingqian Chen authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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

2024

Improving the artificial bee colony algorithm with a proprietary estimation of distribution mechanism for protein-ligand docking.

Shuangbao Song, Cheng Tang, Zhenyu Song, Jia Qu, Xingqian Chen

Appl. Soft Comput., 2024

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 Two-Stage Method Based on Multiobjective Differential Evolution for Gene Selection.

Shuangbao Song, Xingqian Chen, Zheng Tang, Yuki Todo

Comput. Intell. Neurosci., 2021

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

2019

Training an Approximate Logic Dendritic Neuron Model Using Social Learning Particle Swarm Optimization Algorithm.

Shuangyu Song, Xingqian Chen, Cheng Tang, Shuangbao Song, Zheng Tang, Yuki Todo

IEEE Access, 2019

A Self-adaptive Mechanism Embedded Gravitational Search Algorithm.

Zhenyu Song, Cheng Tang, Xingqian Chen, Shuangyu Song, Junkai Ji

Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

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

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