M-Channel Nonuniform Filter Banks with Arbitrary Scaling Factors. - Xuemei Xie; Liangjun Wang; Siqi Shi (ICNC (2), 2006)

A parallel sampling scheme for ultra-wideband signal based on the random projection. - Guangming Shi; Zhe Liu 008; X. Y. Chen; Liangjun Wang (ISCAS, 2008)

A compressive sensing approach of multiple descriptions for network multimedia communication. - Liangjun Wang; Xiaolin Wu 001; Guangming Shi (MMSP, 2008)

High resoluton image reconstruction: A new imager via movable random exposure. - Guangming Shi; Dahua Gao; Danhua Liu; Liangjun Wang (ICIP, 2009)

Progressive Quantization of Compressive Sensing Measurements. - Liangjun Wang; Xiaolin Wu 001; Guangming Shi (DCC, 2011)

Multiple description video coding against both erasure and bit errors by compressive sensing. - Liangjun Wang; Xiaolin Wu 001; Guangming Shi (VCIP, 2011)

Binned Progressive Quantization for Compressive Sensing. - Liangjun Wang; Xiaolin Wu 001; Guangming Shi (IEEE Trans. Image Process., 2012)

Optical Sensor Based on a Single CdS Nanobelt. - Lei Li; Shuming Yang; Feng Han; Liangjun Wang; Xiaotong Zhang; Zhuangde Jiang; Anlian Pan (Sensors, 2014)

Two-Phase Representation Based Classification. - Jianping Gou; Yongzhao Zhan 001; Xiangjun Shen; Qirong Mao; Liangjun Wang (PCM (1), 2015)

Building Weighted Classifier Ensembles Through Classifiers Pruning. - Chenwei Cai; Dickson Keddy Wornyo; Liangjun Wang; Xiangjun Shen (ICIMCS, 2017)

Diversity-induced weighted classifier ensemble learning. - Y. Dong; Xiangjun Shen; Liangjun Wang; Dickson Keddy Wornyo; Zheng-Jun Zha (ICIP, 2017)

A K-AP Clustering Algorithm Based on Manifold Similarity Measure. - Hongjie Jia; Liangjun Wang; Heping Song; Qirong Mao; Shifei Ding (IIP, 2018)

Accurate Depth of Field Rendering with Integral Image. - Yang Yang 046; Yanhong Peng; Huiwen Bian; Lanling Zeng; Liangjun Wang (IGTA, 2018)

Affective Visual Question Answering Network. - Nelson Ruwa; Qirong Mao; Liangjun Wang; Ming Dong 001 (MIPR, 2018)

Weighted Two-Phase Linear Reconstruction Measure-based Classification. - Jianping Gou; Jun Song; Heping Song; Liangjun Wang (VCIP, 2018)

Cascaded Multi-level Transformed Dirichlet Process for Multi-pose Facial Expression Recognition. - Qirong Mao; Feifei Zhang; Liangjun Wang; Sidian Luo; Ming Dong 001 (Comput. J., 2018)

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 (ICIG (3), 2019)

Near-Duplicate Video Retrieval Through Toeplitz Kernel Partial Least Squares. - Jia-Li Tao; Jian-Ming Zhang; Liangjun Wang; Xiangjun Shen; Zheng-Jun Zha (MMM (2), 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)

Affective question answering on video. - Nelson Ruwa; Qirong Mao; Liangjun Wang; Jianping Gou (Neurocomputing, 2019)

Mood-aware visual question answering. - Nelson Ruwa; Qirong Mao; Liangjun Wang; Jianping Gou; Ming Dong 001 (Neurocomputing, 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)

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)

An emotion-based responding model for natural language conversation. - Feng Liu; Qirong Mao; Liangjun Wang; Nelson Ruwa; Jianping Gou; Yongzhao Zhan 001 (World Wide Web, 2019)

Co-regularized kernel ensemble regression. - Dickson Keddy Wornyo; Xiang-jun Shen; Yong Dong; Liangjun Wang; Shu-Cheng Huang (World Wide Web, 2019)

Large-Scale Spectral Clustering with Stochastic Nyström Approximation. - Hongjie Jia; Liangjun Wang; Heping Song (IIP, 2020)

Parallel Computing and Optimization of Lattice Boltzmann Method Based on SW26010 Processor. - Xiaoxiao Zhang; Liangjun Wang; Xuesen Chu; Hu Ding; Wu Zhang (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Robust low rank representation via feature and sample scaling. - Xiang-Jun Shen; Yuxuan Wang; Liangjun Wang; Sumet Mehta; Bing-Kun Bao; Jianping Fan 001 (Neurocomputing, 2020)

An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition. - Hongjie Jia; Liangjun Wang; Heping Song; Qirong Mao; Shifei Ding (Expert Syst. Appl., 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)

SLiKER: Sparse loss induced kernel ensemble regression. - Xiang-Jun Shen; Chenggong Ni; Liangjun Wang; Zheng-Jun Zha (Pattern Recognit., 2021)

Time and Memory Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain. - Xiang-Jun Shen; Zhaorui Xu; Liangjun Wang; Zechao Li (ACM Multimedia, 2022)

Dynamic Attention for Isolated Sign Language Recognition with Reinforcement Learning. - Shiquan Lin; Yuchun Fang; Liangjun Wang (ICIG (2), 2023)

Multi-dictionary induced low-rank representation with multi-manifold regularization. - Jinghui Zhou; Xiangjun Shen; Sixing Liu; Liangjun Wang; Qian Zhu 003; Ping Qian (Appl. Intell., 2023)

Global and local structure preserving nonnegative subspace clustering. - Hongjie Jia; Dongxia Zhu; Longxia Huang; Qirong Mao; Liangjun Wang; Heping Song (Pattern Recognit., 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., 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., 2023)

Multi-Scale Dual-Attention Unfolding Network for Compressed Sensing Image Reconstruction. - Liangjun Wang; Meixin Wang (ACML, 2024)

Fast Mesh Generation in Multi-layer Lattice Boltzmann Simulation with Moving Boundaries. - Peng He; Liangjun Wang; Lei Xu; Wu Zhang; Wenhao Zhu (CGI (3), 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 007; Zhengjun Zha (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Novel Transformer-Based Multiscale Siamese Framework for High-Resolution Remote Sensing Change Detection. - Liangjun Wang; Weitao Chen; Haoyi Wang; Zhengchao Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)