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Log-based Sparse Nonnegative Matrix Factorization for Data Representation


Apr 22, 2022
Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng


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Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization


Jan 08, 2022
Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng


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Modeling and Measurements for Multi-path Mitigation with Reconfigurable Intelligent Surfaces


Sep 24, 2021
Ruya Zhou, Xiangyu Chen, Wankai Tang, Xiao Li, Shi Jin, Ertugrul Basar, Qiang Cheng, Tie Jun Cui

* An RIS has been utilized in modeling and measurements for multi-path mitigation 

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Design and Implementation of MIMO Transmission Based on Dual-Polarized Reconfigurable Intelligent Surface


Jul 02, 2021
Xiangyu Chen, Jun Chen Ke, Wankai Tang, Ming Zheng Chen, Jun Yan Dai, Ertugrul Basar, Shi Jin, Qiang Cheng, Tie Jun Cui

* This work has been accepted by IEEE WCL 

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Top-$k$ Regularization for Supervised Feature Selection


Jun 04, 2021
Xinxing Wu, Qiang Cheng

* 12 pages 

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Hyperspectral Image Denoising with Log-Based Robust PCA


May 25, 2021
Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng


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Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction


Mar 21, 2021
Xinxing Wu, Qiang Cheng

* 10 pages 

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Path Loss Modeling and Measurements for Reconfigurable Intelligent Surfaces in the Millimeter-Wave Frequency Band


Jan 21, 2021
Wankai Tang, Xiangyu Chen, Ming Zheng Chen, Jun Yan Dai, Yu Han, Marco Di Renzo, Shi Jin, Qiang Cheng, Tie Jun Cui

* We introduce model refinements to our previously proposed free-space path loss model for RISs in order to make it simpler, more applicable, and easier to use. We report the world's first measurement campaign to characterize the path loss for RIS-assisted mmWave wireless communications 

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Adaptive Weighted Discriminator for Training Generative Adversarial Networks


Dec 05, 2020
Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye

* 15 pages total, 7 figures, 4 tables and 2 algorithms 

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Kernel Two-Dimensional Ridge Regression for Subspace Clustering


Nov 03, 2020
Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng

* accepted to Pattern Recognition 

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Fractal Autoencoders for Feature Selection


Oct 19, 2020
Xinxing Wu, Qiang Cheng


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A Uniformly Stable Algorithm For Unsupervised Feature Selection


Oct 19, 2020
Xinxing Wu, Qiang Cheng


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Structured Graph Learning for Clustering and Semi-supervised Classification


Aug 31, 2020
Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian

* Appear in Pattern Recognition 

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Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering


May 19, 2020
Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng


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Nonnegative Matrix Factorization with Local Similarity Learning


Jul 09, 2019
Chong Peng, Zhao Kang, Chenglizhao Chen, Qiang Cheng


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Automated Classification of Seizures against Nonseizures: A Deep Learning Approach


Jun 05, 2019
Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang

* 12 pages, 8 figures. arXiv admin note: text overlap with arXiv:1903.09326 

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RES-PCA: A Scalable Approach to Recovering Low-rank Matrices


Apr 16, 2019
Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng


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Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data


Apr 16, 2019
Chong Peng, Qiang Cheng


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A Novel Independent RNN Approach to Classification of Seizures against Non-seizures


Mar 22, 2019
Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang

* 10 pages, 2 figures, submitted to AMIA symposium 2019 

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Lie Group Auto-Encoder


Jan 28, 2019
Liyu Gong, Qiang Cheng


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Adaptive Edge Features Guided Graph Attention Networks


Sep 07, 2018
Liyu Gong, Qiang Cheng


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Unified Spectral Clustering with Optimal Graph


Nov 12, 2017
Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu

* Accepted by AAAI 2018 

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Twin Learning for Similarity and Clustering: A Unified Kernel Approach


May 03, 2017
Zhao Kang, Chong Peng, Qiang Cheng

* Published in AAAI 2017 

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Top-N Recommendation on Graphs


Sep 27, 2016
Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng

* CIKM 2016 

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Top-N Recommendation with Novel Rank Approximation


Feb 26, 2016
Zhao Kang, Qiang Cheng

* SDM 2016. arXiv admin note: text overlap with arXiv:1601.04800 

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Top-N Recommender System via Matrix Completion


Jan 19, 2016
Zhao Kang, Chong Peng, Qiang Cheng

* AAAI 2016 

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Robust PCA via Nonconvex Rank Approximation


Nov 17, 2015
Zhao Kang, Chong Peng, Qiang Cheng

* IEEE International Conference on Data Mining 

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Robust Subspace Clustering via Tighter Rank Approximation


Oct 30, 2015
Zhao Kang, Chong Peng, Qiang Cheng

* ACM CIKM 2015 

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Robust Subspace Clustering via Smoothed Rank Approximation


Aug 18, 2015
Zhao Kang, Chong Peng, Qiang Cheng

* IEEE Signal Processing Letters, 22(2015)2088-2092 
* Journal, code is available 

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