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2020 – today
- 2024
[j19]Xiang-Jun Shen
, Zhaorui Xu, Liangjun Wang, Zechao Li, Guangcan Liu, Jianping Fan, Zhengjun Zha:
Extraordinarily Time- and Memory-Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain: From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14989-15003 (2024)- 2023
- [j18]Jinghui Zhou, Xiangjun Shen, Sixing Liu, Liangjun Wang, Qian Zhu, Ping Qian:
Multi-dictionary induced low-rank representation with multi-manifold regularization. Appl. Intell. 53(3): 3576-3593 (2023) - [j17]Yuchun Fang, Liangjun Wang, Shiquan Lin, Lan Ni:
Visual feature segmentation with reinforcement learning for continuous sign language recognition. Int. J. Multim. Inf. Retr. 12(2): 39 (2023) - [j16]Hongjie Jia, Qize Ren, Longxia Huang, Qirong Mao, Liangjun Wang, Heping Song:
Large-scale non-negative subspace clustering based on Nyström approximation. Inf. Sci. 638: 118981 (2023) - [j15]Hongjie Jia, Dongxia Zhu, Longxia Huang, Qirong Mao, Liangjun Wang, Heping Song:
Global and local structure preserving nonnegative subspace clustering. Pattern Recognit. 138: 109388 (2023) - [c19]Shiquan Lin, Yuchun Fang, Liangjun Wang:
Dynamic Attention for Isolated Sign Language Recognition with Reinforcement Learning. ICIG (2) 2023: 250-262 - 2022
- [c18]Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li:
Time and Memory Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain. ACM Multimedia 2022: 5710-5718 - 2021
- [j14]Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding:
An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition. Expert Syst. Appl. 186: 115813 (2021) - [j13]Chao Qi, Jianming Zhang, Hongjie Jia, Qirong Mao, Liangjun Wang, Heping Song:
Deep face clustering using residual graph convolutional network. Knowl. Based Syst. 211: 106561 (2021) - [j12]Xiang-Jun Shen, Chenggong Ni, Liangjun Wang, Zheng-Jun Zha:
SLiKER: Sparse loss induced kernel ensemble regression. Pattern Recognit. 109: 107587 (2021) - 2020
- [j11]Xiang-Jun Shen, Yuxuan Wang, Liangjun Wang, Sumet Mehta, Bing-Kun Bao, Jianping Fan:
Robust low rank representation via feature and sample scaling. Neurocomputing 409: 431-442 (2020) - [c17]Hongjie Jia, Liangjun Wang, Heping Song:
Large-Scale Spectral Clustering with Stochastic Nyström Approximation. Intelligent Information Processing 2020: 26-34 - [c16]Xiaoxiao Zhang, Liangjun Wang, Xuesen Chu, Hu Ding, Wu Zhang:
Parallel Computing and Optimization of Lattice Boltzmann Method Based on SW26010 Processor. ISPA/BDCloud/SocialCom/SustainCom 2020: 34-40
2010 – 2019
- 2019
- [j10]Ji-ming Chen, Ting-Ting Li, Liangjun Wang:
QBPP: Quality of services-based location privacy protection method for location-based services in cloud-enabled Internet of vehicles. Int. J. Distributed Sens. Networks 15(7) (2019) - [j9]Nelson Ruwa, Qirong Mao, Liangjun Wang, Jianping Gou, Ming Dong:
Mood-aware visual question answering. Neurocomputing 330: 305-316 (2019) - [j8]Nelson Ruwa, Qirong Mao, Liangjun Wang, Jianping Gou:
Affective question answering on video. Neurocomputing 363: 125-139 (2019) - [j7]Hongjie Jia, Liangjun Wang, Heping Song:
HMRF半监督近似核k-means算法 (HMRF Semi-supervised Approximate Kernel k-means Algorithm). 计算机科学 46(12): 31-37 (2019) - [j6]Zhong-Qiu Jiang, Xiangjun Shen, Jianping Gou, Liangjun Wang, Zheng-Jun Zha:
Dynamically building diversified classifier pruning ensembles via canonical correlation analysis. Multim. Tools Appl. 78(1): 271-288 (2019) - [j5]Dickson Keddy Wornyo, Xiang-jun Shen, Yong Dong, Liangjun Wang, Shu-Cheng Huang:
Co-regularized kernel ensemble regression. World Wide Web 22(2): 717-734 (2019) - [j4]Feng Liu, Qirong Mao, Liangjun Wang, Nelson Ruwa, Jianping Gou, Yongzhao Zhan:
An emotion-based responding model for natural language conversation. World Wide Web 22(2): 843-861 (2019) - [c15]Yuxuan Wang, Timothy Apasiba Abeo, Liangjun Wang, Dickson Keddy Wornyo, Xiang-Jun Shen:
Bilinear Factorization via Recursive Sample Factoring for Low-Rank Hyperspectral Image Recovery. ICIG (3) 2019: 529-540 - [c14]Jia-Li Tao, Jian-Ming Zhang, Liangjun Wang, Xiangjun Shen, Zheng-Jun Zha:
Near-Duplicate Video Retrieval Through Toeplitz Kernel Partial Least Squares. MMM (2) 2019: 352-364 - 2018
- [j3]Qirong Mao, Feifei Zhang, Liangjun Wang, Sidian Luo, Ming Dong:
Cascaded Multi-level Transformed Dirichlet Process for Multi-pose Facial Expression Recognition. Comput. J. 61(11): 1605-1619 (2018) - [c13]Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding:
A K-AP Clustering Algorithm Based on Manifold Similarity Measure. Intelligent Information Processing 2018: 20-29 - [c12]Yang Yang, Yanhong Peng, Huiwen Bian, Lanling Zeng, Liangjun Wang:
Accurate Depth of Field Rendering with Integral Image. IGTA 2018: 302-309 - [c11]Nelson Ruwa, Qirong Mao, Liangjun Wang, Ming Dong:
Affective Visual Question Answering Network. MIPR 2018: 170-173 - [c10]Jianping Gou, Jun Song, Heping Song, Liangjun Wang:
Weighted Two-Phase Linear Reconstruction Measure-based Classification. VCIP 2018: 1-4 - 2017
- [c9]Chenwei Cai, Dickson Keddy Wornyo, Liangjun Wang, Xiangjun Shen:
Building Weighted Classifier Ensembles Through Classifiers Pruning. ICIMCS 2017: 131-139 - [c8]Y. Dong, Xiangjun Shen, Liangjun Wang, Dickson Keddy Wornyo, Zheng-Jun Zha:
Diversity-induced weighted classifier ensemble learning. ICIP 2017: 1232-1236 - 2015
- [c7]Jianping Gou, Yongzhao Zhan, Xiangjun Shen, Qirong Mao, Liangjun Wang:
Two-Phase Representation Based Classification. PCM (1) 2015: 265-274 - 2014
- [j2]Lei Li, Shuming Yang, Feng Han, Liangjun Wang, Xiaotong Zhang, Zhuangde Jiang, Anlian Pan:
Optical Sensor Based on a Single CdS Nanobelt. Sensors 14(4): 7332-7341 (2014) - 2012
- [j1]Liangjun Wang, Xiaolin Wu, Guangming Shi:
Binned Progressive Quantization for Compressive Sensing. IEEE Trans. Image Process. 21(6): 2980-2990 (2012) - 2011
- [c6]Liangjun Wang, Xiaolin Wu, Guangming Shi:
Progressive Quantization of Compressive Sensing Measurements. DCC 2011: 233-242 - [c5]Liangjun Wang, Xiaolin Wu, Guangming Shi:
Multiple description video coding against both erasure and bit errors by compressive sensing. VCIP 2011: 1-4
2000 – 2009
- 2009
- [c4]Guangming Shi, Dahua Gao, Danhua Liu, Liangjun Wang:
High resoluton image reconstruction: A new imager via movable random exposure. ICIP 2009: 1177-1180 - 2008
- [c3]Guangming Shi, Zhe Liu, X. Y. Chen, Liangjun Wang:
A parallel sampling scheme for ultra-wideband signal based on the random projection. ISCAS 2008: 2246-2249 - [c2]Liangjun Wang, Xiaolin Wu, Guangming Shi:
A compressive sensing approach of multiple descriptions for network multimedia communication. MMSP 2008: 445-449 - 2006
- [c1]Xuemei Xie, Liangjun Wang, Siqi Shi:
M-Channel Nonuniform Filter Banks with Arbitrary Scaling Factors. ICNC (2) 2006: 305-314
Coauthor Index
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