Qiang Shawn Cheng

Orcid: 0000-0002-5329-8811

Affiliations:
  • University of Kentucky, Department of Computer Science, Institute of Biomedical Informatics, Lexington, KY, USA
  • Southern Illinois University, Department of Computer Science, Carbondale, IL, USA (2012 - 2017)
  • Siemens Medical Solutions, Inc., Princeton, NJ, USA
  • University of Illinois, Urbana-Champaign, IL, USA (PhD 2002)


According to our database1, Qiang Shawn Cheng authored at least 106 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Gene expression clock: an unsupervised deep learning approach for predicting circadian rhythmicity from whole genome expression.
Neural Comput. Appl., November, 2024

Support Vector Regression-Based Reduced- Reference Perceptual Quality Model for Compressed Point Clouds.
IEEE Trans. Multim., 2024

Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering.
IEEE Trans. Image Process., 2024

TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification.
CoRR, 2024

MambaTab: A Simple Yet Effective Approach for Handling Tabular Data.
CoRR, 2024

MambaTab: A Plug-and-Play Model for Learning Tabular Data.
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

TimeMachine: A Time Series is Worth 4 Mambas for Long-Term Forecasting.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Fine-Grained Bipartite Concept Factorization for Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Global and local similarity learning in multi-kernel space for nonnegative matrix factorization.
Knowl. Based Syst., November, 2023

2022
Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization.
IEEE Trans. Geosci. Remote. Sens., 2022

Preserving bilateral view structural information for subspace clustering.
Knowl. Based Syst., 2022

Log-based sparse nonnegative matrix factorization for data representation.
Knowl. Based Syst., 2022

Two-dimensional semi-nonnegative matrix factorization for clustering.
Inf. Sci., 2022

Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction.
CoRR, 2022

Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets.
CoRR, 2022

PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions.
CoRR, 2022

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization.
CoRR, 2022

Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data.
IEEE Trans. Neural Networks Learn. Syst., 2021

Kernel two-dimensional ridge regression for subspace clustering.
Pattern Recognit., 2021

Structured graph learning for clustering and semi-supervised classification.
Pattern Recognit., 2021

Learning discriminative representation for image classification.
Knowl. Based Syst., 2021

Nonnegative matrix factorization with local similarity learning.
Inf. Sci., 2021

Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction.
CoRR, 2021

A robust deep learning approach for automatic classification of seizures against non-seizures.
Biomed. Signal Process. Control., 2021

Algorithmic stability and generalization of an unsupervised feature selection algorithm.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hyperspectral Image Denoising With Log-Based Robust PCA.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Adaptive Weighted Discriminator for Training Generative Adversarial Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fractal Autoencoders for Feature Selection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Robust principal component analysis: A factorization-based approach with linear complexity.
Inf. Sci., 2020

A Uniformly Stable Algorithm For Unsupervised Feature Selection.
CoRR, 2020

2019
Nonnegative Matrix Factorization with Local Similarity Learning.
CoRR, 2019

Automated Classification of Seizures against Nonseizures: A Deep Learning Approach.
CoRR, 2019

Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data.
CoRR, 2019

A Novel Independent RNN Approach to Classification of Seizures against Non-seizures.
CoRR, 2019

Lie Group Auto-Encoder.
CoRR, 2019

RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Exploiting Edge Features for Graph Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Integrate and Conquer: Double-Sided Two-Dimensional <i>k</i>-Means Via Integrating of Projection and Manifold Construction.
ACM Trans. Intell. Syst. Technol., 2018

A Robust Deep Learning Approach for Automatic Seizure Detection.
CoRR, 2018

Unified Spectral Clustering With Optimal Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Robust Graph Regularized Nonnegative Matrix Factorization for Clustering.
ACM Trans. Knowl. Discov. Data, 2017

Nonnegative Matrix Factorization with Integrated Graph and Feature Learning.
ACM Trans. Intell. Syst. Technol., 2017

A Supervised Learning Model for High-Dimensional and Large-Scale Data.
ACM Trans. Intell. Syst. Technol., 2017

Image Projection Ridge Regression for Subspace Clustering.
IEEE Signal Process. Lett., 2017

Integrating feature and graph learning with low-rank representation.
Neurocomputing, 2017

Kernel-driven similarity learning.
Neurocomputing, 2017

Clustering with Adaptive Manifold Structure Learning.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Exploiting Nonlinear Relationships for Top-N Recommender Systems.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

Subspace Clustering via Variance Regularized Ridge Regression.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Twin Learning for Similarity and Clustering: A Unified Kernel Approach.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Feature Selection Embedded Subspace Clustering.
IEEE Signal Process. Lett., 2016

Top-N Recommendation with Novel Rank Approximation.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

A Fast Factorization-Based Approach to Robust PCA.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

RAP: Scalable RPCA for Low-rank Matrix Recovery.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Top-N Recommendation on Graphs.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Top-N Recommender System via Matrix Completion.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Scalable Projective Scaling Algorithm for l<sub>p</sub> Loss With Convex Penalizations.
IEEE Trans. Neural Networks Learn. Syst., 2015

Robust Subspace Clustering via Smoothed Rank Approximation.
IEEE Signal Process. Lett., 2015

LogDet Rank Minimization with Application to Subspace Clustering.
Comput. Intell. Neurosci., 2015

Subspace Clustering Using Log-determinant Rank Approximation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Robust PCA Via Nonconvex Rank Approximation.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Robust Subspace Clustering via Tighter Rank Approximation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Confidence and prediction intervals for semiparametric mixed-effect least squares support vector machine.
Pattern Recognit. Lett., 2014

A Minimax Framework for Classification with Applications to Images and High Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

2013
A Multiway Model for Predicting Earthquake Ground Motion.
Proceedings of the 14th ACIS International Conference on Software Engineering, 2013

2011
Real-Time Vector Quantization and Clustering Based on Ordinary Differential Equations.
IEEE Trans. Neural Networks, 2011

The Fisher-Markov Selector: Fast Selecting Maximally Separable Feature Subset for Multiclass Classification with Applications to High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

O(N) implicit subspace embedding for unsupervised multi-scale image segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
A Sparse Learning Machine for High-Dimensional Data with Application to Microarray Gene Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010

Weighted Kernel Density Estimation of the Prepulse Inhibition Test.
Proceedings of the 6th World Congress on Services, 2010

Reparameterization based consistent graph-structured linear programs.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Generalized Embedding of Multiplicative Watermarks.
IEEE Trans. Circuits Syst. Video Technol., 2009

Sparsity Optimization Method for Multivariate Feature Screening for Gene Expression Analysis.
J. Comput. Biol., 2009

A New Computational Tool for the Post Session Analysis of the Prepulse Inhibition Test in Neural Science.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Fast Fusion of Medical Images Based on Bayesian Risk Minimization and Pixon Map.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

A Hybrid Computational Approach for the Prediction of Small Non-coding RNAs from Genome Sequences.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

WiFi-Based Telemedicine System: Signal Accuracy and Security.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
A Novel Distributed Sensor Positioning System Using the Dual of Target Tracking.
IEEE Trans. Computers, 2008

Efficient compression for multiplanar reformulated biomedical images for interactive visualisation.
Int. J. Funct. Informatics Pers. Medicine, 2008

Prediction of Protein Function Using Graph Container and Message Passing.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2007
An Efficient Compression Method for Multiplanar Reformulated Biomedical Images.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Landscape-3D; A Robust Localization Scheme for Sensor Networks over Complex 3D Terrains.
Proceedings of the LCN 2006, 2006

2005
Landscape: a high performance distributed positioning scheme for outdoor sensor networks.
Proceedings of the 2005 IEEE International Conference on Wireless And Mobile Computing, 2005

Using Covert Channel to Resist DoS attacks in WLAN.
Proceedings of the 2005 International Conference on Wireless Networks, 2005

SNR Analysis for Phased-Array MRI.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Performance analysis and error exponents of asymmetric watermarking systems.
Signal Process., 2004

MV-MAP: Multiresolution Video Visualization and Summarization on MAPs.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Unconfined mobile Bluetooth nursing and daily data collection.
Proceedings of the 1st IEEE Consumer Communications and Networking Conference, 2004

2003
Robust optimum detection of transform domain multiplicative watermarks.
IEEE Trans. Signal Process., 2003

Maximizing efficacy for efficient watermarking systems.
Proceedings of the 2003 International Conference on Image Processing, 2003

How to design efficient watermarks?
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Multimedia Watermarking
PhD thesis, 2002

Framework for digital video watermarking with dual watermarks.
Proceedings of the Visual Communications and Image Processing 2002, 2002

Optimum detection and decoding of multiplicative watermarks in DFT domain.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
An additive approach to transform-domain information hiding and optimum detection structure.
IEEE Trans. Multim., 2001

An image watermarking technique using pyramid transform.
Proceedings of the 9th ACM International Conference on Multimedia 2001, Ottawa, Ontario, Canada, September 30, 2001

Combined Audio And Videowatermarking Using Mel-Frequency Cepstra.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

Optimum Detection of Multiplicative Watermarks using Locally Optimum Decision Rule.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

Optimum detection of robust perceptual-model-based image-adaptive watermarks.
Proceedings of the 2001 International Conference on Image Processing, 2001

Spread spectrum signaling for speech watermarking.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Identify Regions of Interest(ROI) for video watermark embedment with Principle Component Analysis.
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000

Blind Digital Watermarking for Images and Videos and Performance Analysis.
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000

A DCT-Domain Blind Watermarking System Using Optimum Detection on Laplacian Model.
Proceedings of the 2000 International Conference on Image Processing, 2000


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