Inter-Scale Dependency Based Adaptive Shrinkage De-Nosing for Image. - Shengqian Wang; Daowen Zou; Shihua Shen; Z. Fang (WAA, 2003)

Feature Extraction of Seal Imprint Based on the Double-Density Dual-Tree DWT. - Runwu Li; Zhijun Fang; Shengqian Wang; Shouyuan Yang (International Conference on Computational Science (2), 2007)

A Local Watermarking Scheme in the Ridgelet Domain Combining Image Content and JND Model. - Yan Li; Shengqian Wang; Zhihua Xie (CIS (2), 2008)

Query Expansion based on Concept Clique for Markov Network Information Retrieval Model. - Lixin Gan; Shengqian Wang; Mingwen Wang; Zhihua Xie 002; Lin Zhang; Zhenghua Shu (FSKD (5), 2008)

Watermarking Algorithm based on Contourlet Transform and Human Visual Model. - Zhenghua Shu; Shengqian Wang; Chengzhi Deng; Guodong Liu; Lin Zhang (ICESS, 2008)

Content Based Image Watermarking in the Ridgelet Domain. - Zhihua Xie 002; Shengqian Wang; Lixin Gan; Lin Zhang; Zhenghua Shu (ISECS, 2008)

Curvelet Domain Watermark Detection Using Alpha-Stable Models. - Chengzhi Deng; Huasheng Zhu; Shengqian Wang (IAS, 2009)

Redundant Ridgelet Transform and its Application to Image Processing. - Yan Li; Shengqian Wang; Chengzhi Deng (IAS, 2009)

Efficient Coding Scheme of Displaced Frame Difference. - Chengzhi Deng; Shengqian Wang; Hui Sun (FSKD (2), 2009)

Shearlet-Based Adaptive Shrinkage Threshold for Image Denoising. - Xi Chen; Chengzhi Deng; Shengqian Wang (ICEE, 2010)

The investigation of the parameter choice of the nonlinearly chirped FBG. - Xianjie Feng; Shengqian Wang; Daowen Zou (Kybernetes, 2010)

Infrared image denoising using a smoothed L0 sparse regression. - Shengqian Wang; Jianping Xiao; Chengzhi Deng (Int. J. Comput. Sci. Math., 2015)

Hyperspectral unmixing based on iteratively re-weighted smoothed l0 regularisation. - Yan Li; Chengzhi Deng; Shengqian Wang; Hui Wang (Int. J. Wirel. Mob. Comput., 2016)

Spatial-Spectral Reweighted Collaborative Sparse Regression for Hyperspectral Unmixing. - Yan Li; Chengzhi Deng; Shengqian Wang (J. Netw. Intell., 2017)

Robust Visual Tracking with Discrimination Dictionary Learning. - Yuanyun Wang; Chengzhi Deng; Jun Wang 131; Wei Tian; Shengqian Wang (Adv. Multim., 2018)

Regularized Kernel Representation for Visual Tracking. - Jun Wang 131; Yuanyun Wang; Chengzhi Deng; Shengqian Wang; Yong Qin (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

L1-L2 Norms Based Target Representation for Visual Tracking. - Yuanyun Wang; Jun Wang 131; Chengzhi Deng; Huasheng Zhu; Shengqian Wang (J. Netw. Intell., 2018)

Superpixel-Guided Sparse Unmixing for Remotely Sensed Hyperspectral Imagery. - Shaoquan Zhang; Chengzhi Deng; Jun Li 009; Shengqian Wang; Fan Li; Chenguang Xu; Antonio Plaza (IGARSS, 2019)

Spectral-Spatial Weighted Sparse Nonnegative Tensor Factorization for Hyperspectral Unmixing. - Shaoquan Zhang; Guorong Zhang; Chengzhi Deng; Jun Li 009; Shengqian Wang; Jun Wang 131; Antonio Plaza (IGARSS, 2020)

Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit. - Xiang Yu 006; Yu Qiao; Qingpeng Li; Gang Xu; Chuanxiong Kang; Claudio Estevez; Chengzhi Deng; Shengqian Wang (Complex., 2020)

Superpixel Based Low-Rank Sparse Unmixing for Hyperspectral Remote Sensing Image. - Fan Li; Bingkun Liang; Shaoquan Zhang; Chengzhi Deng; Zhaoming Wu; Shengqian Wang (IGARSS, 2021)

Low-Rank Subspace Unmixing of Remotely Sensed Hyperspectral Image. - Quan You; Fan Li; Shaoquan Zhang; Shengqian Wang; Chengzhi Deng; Chenguang Xu (IGARSS, 2021)

Robust Double Spatial Regularization Sparse Hyperspectral Unmixing. - Fan Li; Shaoquan Zhang; Chengzhi Deng; Bingkun Liang; Jingjing Cao; Shengqian Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hyperspectral Sparse Unmixing With Spectral-Spatial Low-Rank Constraint. - Fan Li; Shaoquan Zhang; Bingkun Liang; Chengzhi Deng; Chenguang Xu; Shengqian Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Dual Spatial Weighted Sparse Hyperspectral Unmixing. - Yonggang Chen; Chengzhi Deng; Shaoquan Zhang; Fan Li; Ningyuan Zhang; Shengqian Wang (IGARSS, 2022)

Dual Reweighted Low-Rank Sparse Unmixing with Total Variation Regularization. - Danli He; Fan Li; Shaoquan Zhang; Yonggang Chen; Chengzhi Deng; Shengqian Wang (IGARSS, 2022)

Cascaded Autoencoders for Spectral-Spatial Remotely Sensed Hyperspectral Imagery Unmixing. - Yueshuai Shan; Shaoquan Zhang; Shanqi Hong; Fan Li; Chengzhi Deng; Shengqian Wang (IGARSS, 2022)

Spatial Graph Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Hao Zhang; Lin Lei; Shaoquan Zhang; Min Huang; Fan Li; Chengzhi Deng; Shengqian Wang (IGARSS, 2022)

Spectral-Spatial Hyperspectral Unmixing Using Nonnegative Matrix Factorization. - Shaoquan Zhang; Guorong Zhang; Fan Li; Chengzhi Deng; Shengqian Wang; Antonio Plaza; Jun Li 009 (IEEE Trans. Geosci. Remote. Sens., 2022)

Convolutional Neural Networks Based Dictionary Pair Learning for Visual Tracking. - Chenchen Meng; Jun Wang 131; Chengzhi Deng; Yuanyun Wang; Shengqian Wang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

PiXi: Password Inspiration by Exploring Information. - Shengqian Wang; Amirali Salehi-Abari; Julie Thorpe (ICICS, 2023)

Collaborative Consistency Autoencoder Hyperspectral Unmixing Using Deep Image Prior. - Min Huang; Mengxiong Tang; Fan Li; Shaoquan Zhang; Shengqian Wang; Ningyuan Zhang; Chengzhi Deng (IGARSS, 2023)

Multiscale Spatial Sparse Unmixing for Remotely Sensed Hyperspectral Imagery. - Jiajun Zheng; Huqing Liang; Shaoquan Zhang; Fan Li; Pengfei Lai; Shengqian Wang; Chengzhi Deng (IGARSS, 2023)

Optical Integrated Sensing and Communication for Cooperative Mobile Robotics: Design and Experiments. - Shengqian Wang; He Chen 001 (WiOpt, 2023)

Local Spectral Similarity-Guided Sparse Unmixing of Hyperspectral Images With Spatial Graph Regularization. - Bingkun Liang; Fan Li; Shaoquan Zhang; Antonio Plaza; Chengzhi Deng; Pengfei Lai; Jiajun Zheng; Shengqian Wang; Dingli Su (IEEE Trans. Geosci. Remote. Sens., 2023)

Robust Dual Spatial Weighted Sparse Unmixing for Remotely Sensed Hyperspectral Imagery. - Chengzhi Deng; Yonggang Chen; Shaoquan Zhang; Fan Li; Pengfei Lai; Dingli Su; Min Hu; Shengqian Wang (Remote. Sens., 2023)

Is Crowdsourcing a Puppet Show? Detecting a New Type of Fraud in Online Platforms. - Shengqian Wang; Israt Jahan Jui; Julie Thorpe (NSPW, 2024)

Visualizing Differential Privacy: Assessing Infographics' Impact on Layperson Data-sharing Decisions and Comprehension. - Mst Mahamuda Sarkar Mithila; Fangyi Yu; Miguel Vargas Martin; Shengqian Wang (PST, 2024)

Large-Dynamic-Range Ocular Aberration Measurement Based on Deep Learning with a Shack-Hartmann Wavefront Sensor. - Haobo Zhang; Junlei Zhao; Hao Chen; Zitao Zhang; Chun Yin; Shengqian Wang (Sensors, 2024)

Sparse Unmixing of Hyperspectral Images With Noise Reduction Using Spatial Filtering. - Shaoquan Zhang; Jiajun Zheng; Pengfei Lai; Fan Li; Lianhui Liang; Antonio Plaza; Chengzhi Deng; Shengqian Wang (IEEE Trans. Instrum. Meas., 2025)

TheraQuest: A Gamified, LLM-Powered Simulation for Massage Therapy Training. - Shengqian Wang (CoRR, 2025)