Hongjie Jia

发表

Granular neural networks

Hongjie Jia, Shifei Ding, Jinrong Chen, 2014, Artificial Intelligence Review.

A density-adaptive affinity propagation clustering algorithm based on spectral dimension reduction

Shifei Ding, Hongjie Jia, Lingheng Meng, 2014, Neural Computing and Applications.

Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors

Shifei Ding, Hongjie Jia, Mingjing Du, 2015, Cognitive Computation.

Study on density peaks clustering based on k-nearest neighbors and principal component analysis

Hongjie Jia, Shifei Ding, Mingjing Du, 2016, Knowl. Based Syst..

An Adaptive Density Data Stream Clustering Algorithm

Hongjie Jia, Jun Qian, Shifei Ding, 2015, Cognitive Computation.

Efficient Monaural Speech Separation with Multiscale Time-Delay Sampling

Hongjie Jia, Qi-rong Mao, Shuang-qing Qian, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The latest research progress on spectral clustering

Shifei Ding, Xinzheng Xu, Ru Nie, 2014, Neural Computing and Applications.

M-pSC: a manifold p-spectral clustering algorithm

Ling Ding, Shifei Ding, Yanru Wang, 2021, Int. J. Mach. Learn. Cybern..

M-pSC: a manifold p-spectral clustering algorithm

Hongjie Jia, Lijuan Wang, Yanru Wang, 2020, International Journal of Machine Learning and Cybernetics.

A multiway p-spectral clustering algorithm

Zhongzhi Shi, Hongjie Jia, Lin Cong, 2019, Knowl. Based Syst..

A K-AP Clustering Algorithm Based on Manifold Similarity Measure

Qirong Mao, Hongjie Jia, Heping Song, 2018, Intelligent Information Processing.

A semi-supervised approximate spectral clustering algorithm based on HMRF model

Shifei Ding, Hongjie Jia, Mingjing Du, 2018, Inf. Sci..

A Nyström spectral clustering algorithm based on probability incremental sampling

Hongjie Jia, Shifei Ding, Mingjing Du, 2017, Soft Comput..

Approximate normalized cuts without Eigen-decomposition

Yu Xue, Hongjie Jia, Shifei Ding, 2016, Inf. Sci..

p-Spectral Clustering Based on Neighborhood Attribute Granulation

Hongjie Jia, Shifei Ding, Qiankun Hu, 2016, Intelligent Information Processing.

A Nyström spectral clustering algorithm based on probability incremental sampling

Shifei Ding, Hongjie Jia, Mingjing Du, 2016, Soft Computing.

Research of semi-supervised spectral clustering based on constraints expansion

Shifei Ding, Hongjie Jia, Hong Zhu, 2013, Neural Computing and Applications.

Research of semi-supervised spectral clustering algorithm based on pairwise constraints

Shifei Ding, Fengxiang Jin, Hongjie Jia, 2012, Neural Computing and Applications.

Triple attention network for sentimental visual question answering

Ming Dong, Qirong Mao, Heping Song, 2019, Comput. Vis. Image Underst..

Convolutional relation network for facial expression recognition in the wild with few-shot learning

Qirong Mao, Juanjuan Tu, Hongjie Jia, 2021, Expert Syst. Appl..

An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition

Liangjun Wang, Heping Song, Hongjie Jia, 2021, Expert Syst. Appl..

An Emotion-Embedded Visual Attention Model for Dimensional Emotion Context Learning

Yongzhao Zhan, Qirong Mao, Hongjie Jia, 2019, IEEE Access.

Large-scale non-negative subspace clustering based on Nyström approximation

Longxia Huang, Liangjun Wang, Heping Song, 2023, Inf. Sci..

An Adaptive Density Data Stream Clustering Algorithm

Shifei Ding, Hongjie Jia, Jian Zhang, 2016, Cognitive Computation.

Research on data stream clustering algorithms

Shifei Ding, Fengxiang Jin, Hongjie Jia, 2015, Artificial Intelligence Review.

Learning Hierarchical Emotion Context for Continuous Dimensional Emotion Recognition From Video Sequences

Qirong Mao, Hongjie Jia, Qing Zhu, 2019, IEEE Access.

The latest research progress on spectral clustering

Hongjie Jia, Shifei Ding, Xinzheng Xu, 2013, Neural Computing and Applications.

Global and local structure preserving nonnegative subspace clustering

Longxia Huang, Liangjun Wang, Heping Song, 2023, Pattern Recognition.

An Efficient Cloudlet Deployment Method Based on Approximate Graph Cut in Large-scale WMANs

Longxia Huang, Hongjie Jia, Xing Zhang, 2023, Applied Intelligence.