Hongbo Liu

发表

Algorithms Based on Path Contraction Carrying Weights for Enumerating Subtrees of Tricyclic Graphs

Beifang Chen, Yu Yang, Guoping Zhang, 2020 .

A proximal iteratively regularized Gauss–Newton method for nonlinear inverse problems

Y. Hu, B. Han, H. Fu, 2017 .

Gated graph convolutional network based on spatio-temporal semi-variogram for link prediction in dynamic complex network

Liping Yang, A. Abraham, Hongbo Liu, 2022, Neurocomputing.

On enumerating algorithms of novel multiple leaf-distance granular regular α-subtrees of trees

C. L. Philip Chen, Hua Wang, Hongbo Liu, 2022, Information and Computation.

SEEM: A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction

S. McLoone, Hongbo Liu, Dafeng Wang, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A wavelet multiscale iterative regularization method for the parameter estimation problems of partial differential equations

Bo Han, Hongbo Liu, Hongsun Fu, 2013, Neurocomputing.

A novel fuzzy rule extraction approach using Gaussian kernel-based granular computing

Ajith Abraham, Hongbo Liu, Yi Hu, 2019, Knowledge and Information Systems.

Self-Adaptive Skeleton Approaches to Detect Self-Organized Coalitions From Brain Functional Networks Through Probabilistic Mixture Models

Kai Liu, Bo Zhang, Xindong Wu, 2021, ACM Trans. Knowl. Discov. Data.

Substructural Regularization With Data-Sensitive Granularity for Sequence Transfer Learning

C. L. Philip Chen, Yu Yang, Shichang Sun, 2018, IEEE Transactions on Neural Networks and Learning Systems.

On Algorithms for Enumerating Subtrees of Hexagonal and Phenylene Chains

Hua Wang, Yu Yang, Hongbo Liu, 2016, Comput. J..

Granular transfer learning using type-2 fuzzy HMM for text sequence recognition

Hongfei Lin, Hongbo Liu, Ajith Abraham, 2016, Neurocomputing.