An Improved Normalized Mutual Information Variable Selection Algorithm for Neural Network-Based Soft Sensors. - Kai Sun; Pengxin Tian; Huanning Qi; Fengying Ma 001; Genke Yang (Sensors, 2019)

An Effective Local Path Planning Algorithm for Intelligent Vehicle in Complex Environment. - Chunlai Yan; Cong Xu; Pengxin Tian; Kai Sun (ASCC, 2022)

Performance of soft sensors based on stochastic configuration networks with nonnegative garrote. - Pengxin Tian; Kai Sun; Dianhui Wang (Neural Comput. Appl., 2022)

Partition-Based Point Cloud Completion Network with Density Refinement. - Jianxin Li; Guannan Si; Xinyu Liang; Zhaoliang An; Pengxin Tian; Fengyu Zhou (Entropy, 2023)

Fully-inductive link prediction with path-based graph neural network: A comparative analysis. - Xinyu Liang; Guannan Si; Jianxin Li; Zhaoliang An; Pengxin Tian; Fengyu Zhou (Neurocomputing, 2024)

A survey of inductive knowledge graph completion. - Xinyu Liang; Guannan Si; Jianxin Li; Pengxin Tian; Zhaoliang An; Fengyu Zhou (Neural Comput. Appl., 2024)

Overview of indoor scene recognition and representation methods based on multimodal knowledge graphs. - Jianxin Li; Guannan Si; Pengxin Tian; Zhaoliang An; Fengyu Zhou (Appl. Intell., 2024)

Prediction of X-ray fluorescence copper grade using regularized stochastic configuration networks. - Kai Sun; Lei Zhao; Pengxin Tian; Jianjun Zhao 004; Dianhui Wang (Inf. Sci., 2024)

Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks. - Dianhui Wang; Pengxin Tian; Wei Dai 004; Gang Yu (IEEE Trans. Ind. Informatics, 2024)

Multimodal fusion via voting network for 3D object detection in indoors. - Jianxin Li; Guannan Si; Xinyu Liang; Zhaoliang An; Pengxin Tian; Fengyu Zhou; Xiaoliang Wang (Pattern Recognit., 2025)

Relational message passing with mutual information maximization for inductive link prediction. - Xinyu Liang; Guannan Si; Jianxin Li; Pengxin Tian; Zhaoliang An; Fengyu Zhou (J. Supercomput., 2025)

Integrating global semantics and enhanced local subgraph for inductive link prediction. - Xinyu Liang; Guannan Si; Jianxin Li; Zhaoliang An; Pengxin Tian; Fengyu Zhou; Xiaoliang Wang (Int. J. Mach. Learn. Cybern., 2025)