Liangjun Wang

According to our database, Liangjun Wang authored at least 38 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Extraordinarily Time- and Memory-Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain: From Shallow to Deep.

Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li, Guangcan Liu, Jianping Fan, Zhengjun Zha

IEEE Trans. Neural Networks Learn. Syst., October, 2024

2023

Visual feature segmentation with reinforcement learning for continuous sign language recognition.

Yuchun Fang, Liangjun Wang, Shiquan Lin, Lan Ni

Int. J. Multim. Inf. Retr., December, 2023

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

Hongjie Jia, Qize Ren, Longxia Huang, Qirong Mao, Liangjun Wang, Heping Song

Inf. Sci., August, 2023

Global and local structure preserving nonnegative subspace clustering.

Hongjie Jia, Dongxia Zhu, Longxia Huang, Qirong Mao, Liangjun Wang, Heping Song

Pattern Recognit., June, 2023

Multi-dictionary induced low-rank representation with multi-manifold regularization.

Jinghui Zhou, Xiangjun Shen, Sixing Liu, Liangjun Wang, Qian Zhu, Ping Qian

Appl. Intell., 2023

Dynamic Attention for Isolated Sign Language Recognition with Reinforcement Learning.

Shiquan Lin, Yuchun Fang, Liangjun Wang

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Time and Memory Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain.

Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

SLiKER: Sparse loss induced kernel ensemble regression.

Xiang-Jun Shen, Chenggong Ni, Liangjun Wang, Zheng-Jun Zha

Pattern Recognit., 2021

Deep face clustering using residual graph convolutional network.

Chao Qi, Jianming Zhang, Hongjie Jia, Qirong Mao, Liangjun Wang, Heping Song

Knowl. Based Syst., 2021

An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition.

Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding

Expert Syst. Appl., 2021

2020

Robust low rank representation via feature and sample scaling.

Xiang-Jun Shen, Yuxuan Wang, Liangjun Wang, Sumet Mehta, Bing-Kun Bao, Jianping Fan

Neurocomputing, 2020

Parallel Computing and Optimization of Lattice Boltzmann Method Based on SW26010 Processor.

Xiaoxiao Zhang, Liangjun Wang, Xuesen Chu, Hu Ding, Wu Zhang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Large-Scale Spectral Clustering with Stochastic Nyström Approximation.

Hongjie Jia, Liangjun Wang, Heping Song

Proceedings of the Intelligent Information Processing X, 2020

2019

Co-regularized kernel ensemble regression.

Dickson Keddy Wornyo, Xiang-jun Shen, Yong Dong, Liangjun Wang, Shu-Cheng Huang

World Wide Web, 2019

An emotion-based responding model for natural language conversation.

Feng Liu, Qirong Mao, Liangjun Wang, Nelson Ruwa, Jianping Gou, Yongzhao Zhan

World Wide Web, 2019

Dynamically building diversified classifier pruning ensembles via canonical correlation analysis.

Zhong-Qiu Jiang, Xiangjun Shen, Jianping Gou, Liangjun Wang, Zheng-Jun Zha

Multim. Tools Appl., 2019

HMRF半监督近似核k-means算法 (HMRF Semi-supervised Approximate Kernel k-means Algorithm).

Hongjie Jia, Liangjun Wang, Heping Song

计算机科学, 2019

Mood-aware visual question answering.

Nelson Ruwa, Qirong Mao, Liangjun Wang, Jianping Gou, Ming Dong

Neurocomputing, 2019

Affective question answering on video.

Nelson Ruwa, Qirong Mao, Liangjun Wang, Jianping Gou

Neurocomputing, 2019

QBPP: Quality of services-based location privacy protection method for location-based services in cloud-enabled Internet of vehicles.

Ji-ming Chen, Ting-Ting Li, Liangjun Wang

Int. J. Distributed Sens. Networks, 2019

Near-Duplicate Video Retrieval Through Toeplitz Kernel Partial Least Squares.

Jia-Li Tao, Jian-Ming Zhang, Liangjun Wang, Xiangjun Shen, Zheng-Jun Zha

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Bilinear Factorization via Recursive Sample Factoring for Low-Rank Hyperspectral Image Recovery.

Yuxuan Wang, Timothy Apasiba Abeo, Liangjun Wang, Dickson Keddy Wornyo, Xiang-Jun Shen

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Cascaded Multi-level Transformed Dirichlet Process for Multi-pose Facial Expression Recognition.

Qirong Mao, Feifei Zhang, Liangjun Wang, Sidian Luo, Ming Dong

Comput. J., 2018

Weighted Two-Phase Linear Reconstruction Measure-based Classification.

Jianping Gou, Jun Song, Heping Song, Liangjun Wang

Proceedings of the IEEE Visual Communications and Image Processing, 2018

Affective Visual Question Answering Network.

Nelson Ruwa, Qirong Mao, Liangjun Wang, Ming Dong

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Accurate Depth of Field Rendering with Integral Image.

Yang Yang, Yanhong Peng, Huiwen Bian, Lanling Zeng, Liangjun Wang

Proceedings of the Image and Graphics Technologies and Applications, 2018

A K-AP Clustering Algorithm Based on Manifold Similarity Measure.

Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding

Proceedings of the Intelligent Information Processing IX, 2018

2017

Diversity-induced weighted classifier ensemble learning.

Y. Dong, Xiangjun Shen, Liangjun Wang, Dickson Keddy Wornyo, Zheng-Jun Zha

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Building Weighted Classifier Ensembles Through Classifiers Pruning.

Chenwei Cai, Dickson Keddy Wornyo, Liangjun Wang, Xiangjun Shen

Proceedings of the Internet Multimedia Computing and Service, 2017

2015

Two-Phase Representation Based Classification.

Jianping Gou, Yongzhao Zhan, Xiangjun Shen, Qirong Mao, Liangjun Wang

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

2014

Optical Sensor Based on a Single CdS Nanobelt.

Lei Li, Shuming Yang, Feng Han, Liangjun Wang, Xiaotong Zhang, Zhuangde Jiang, Anlian Pan

Sensors, 2014

2012

Binned Progressive Quantization for Compressive Sensing.

Liangjun Wang, Xiaolin Wu, Guangming Shi

IEEE Trans. Image Process., 2012

2011

Multiple description video coding against both erasure and bit errors by compressive sensing.

Liangjun Wang, Xiaolin Wu, Guangming Shi

Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

Progressive Quantization of Compressive Sensing Measurements.

Liangjun Wang, Xiaolin Wu, Guangming Shi

Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

2009

High resoluton image reconstruction: A new imager via movable random exposure.

Guangming Shi, Dahua Gao, Danhua Liu, Liangjun Wang

Proceedings of the International Conference on Image Processing, 2009

2008

A compressive sensing approach of multiple descriptions for network multimedia communication.

Liangjun Wang, Xiaolin Wu, Guangming Shi

Proceedings of the International Workshop on Multimedia Signal Processing, 2008

A parallel sampling scheme for ultra-wideband signal based on the random projection.

Guangming Shi, Zhe Liu, X. Y. Chen, Liangjun Wang

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2006

<i>M</i>-Channel Nonuniform Filter Banks with Arbitrary Scaling Factors.

Xuemei Xie, Liangjun Wang, Siqi Shi

Proceedings of the Advances in Natural Computation, Second International Conference, 2006