Qiang Cheng - RankMe

132 papers A* 19A 7B 4C 2Misc 3Journal 81Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CausalGenDiff: Generative causal diffusion bridges scRNA-seq and spatial transcriptomics. J. Biomed. Informatics Rabeya Tus Sadia, Md. Atik Ahamed, Qiang Cheng
2026	J	`jnl`	Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation. ACM Trans. Knowl. Discov. Data Taojie Kuang, Qianli Ma, Athanasios V. Vasilakos, Yu Wang, Qiang Cheng, Zhixiang Ren
2026	A*	`conf`	RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation. AAAI Md. Atik Ahamed, Qiang Ye, Qiang Cheng
2026	J	`jnl`	TabNSA: Native sparse attention for efficient tabular data learning. Neurocomputing Ali Eslamian, Qiang Cheng
2025	J	`jnl`	A multi-modal genomic knowledge distillation framework for drug response prediction. Appl. Intell. Shuang Ge, Shuqing Sun, Huan Xu, Qiang Cheng, Zhixiang Ren
2025	—	`conf`	CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation. KDD (2) Rabeya Tus Sadia, Md. Atik Ahamed, Qiang Cheng
2025	J	`jnl`	CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation. CoRR Rabeya Tus Sadia, Md. Atik Ahamed, Qiang Cheng
2025	J	`jnl`	Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation. CoRR Taojie Kuang, Qianli Ma, Athanasios V. Vasilakos, Yu Wang, Qiang Cheng, Zhixiang Ren
2025	J	`jnl`	Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective. Briefings Bioinform. Shuang Ge, Shuqing Sun, Huan Xu, Qiang Cheng, Zhixiang Ren
2025	J	`jnl`	MolSnap: Snap-Fast Molecular Generation with Latent Variational Mean Flow. CoRR Md. Atik Ahamed, Qiang Ye, Qiang Cheng
2025	J	`jnl`	RefiDiff: Refinement-Aware Diffusion for Efficient Missing Data Imputation. CoRR Md. Atik Ahamed, Qiang Ye, Qiang Cheng
2025	J	`jnl`	TSCMamba: Mamba meets multi-view learning for time series classification. Inf. Fusion Md. Atik Ahamed, Qiang Cheng
2025	J	`jnl`	TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approach. Pattern Anal. Appl. Ali Eslamian, Qiang Cheng
2024	A*	`conf`	Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering. IJCAI Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng
2024	J	`jnl`	Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective. CoRR Shuang Ge, Shuqing Sun, Huan Xu, Qiang Cheng, Zhixiang Ren
2024	J	`jnl`	Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering. IEEE Trans. Image Process. Chong Peng, Kehan Kang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2024	J	`jnl`	Gene expression clock: an unsupervised deep learning approach for predicting circadian rhythmicity from whole genome expression. Neural Comput. Appl. Aram Ansary Ogholbake, Qiang Cheng
2024	J	`jnl`	MambaTab: A Simple Yet Effective Approach for Handling Tabular Data. CoRR Md. Atik Ahamed, Qiang Cheng
2024	J	`jnl`	Support Vector Regression-Based Reduced- Reference Perceptual Quality Model for Compressed Point Clouds. IEEE Trans. Multim. Honglei Su, Qi Liu, Hui Yuan, Qiang Cheng, Raouf Hamzaoui
2024	J	`jnl`	TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification. CoRR Md. Atik Ahamed, Qiang Cheng
2024	J	`jnl`	TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting. CoRR Md. Atik Ahamed, Qiang Cheng
2023	J	`jnl`	Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. Knowl. Based Syst. Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets. CoRR Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng
2022	J	`jnl`	Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction. CoRR Xinxing Wu, Chong Peng, Richard J. Charnigo, Qiang Cheng
2022	J	`jnl`	Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization. CoRR Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	Log-based Sparse Nonnegative Matrix Factorization for Data Representation. CoRR Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	Log-based sparse nonnegative matrix factorization for data representation. Knowl. Based Syst. Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions. CoRR Xinxing Wu, Chong Peng, Gregory Jicha, Donna Wilcock, Qiang Cheng
2022	J	`jnl`	Preserving bilateral view structural information for subspace clustering. Knowl. Based Syst. Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang, Li Guo, Qiang Cheng
2022	A*	`conf`	Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders. IJCAI Xinxing Wu, Qiang Cheng
2022	J	`jnl`	Two-dimensional semi-nonnegative matrix factorization for clustering. Inf. Sci. Chong Peng, Zhilu Zhang, Chenglizhao Chen, Zhao Kang, Qiang Cheng
2021	J	`jnl`	A robust deep learning approach for automatic classification of seizures against non-seizures. Biomed. Signal Process. Control. Xinghua Yao, Xiaojin Li, Qiang Ye, Yan Huang, Qiang Cheng, Guo-Qiang Zhang
2021	A*	`conf`	Adaptive Weighted Discriminator for Training Generative Adversarial Networks. CVPR Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye
2021	A*	`conf`	Algorithmic stability and generalization of an unsupervised feature selection algorithm. NeurIPS Xinxing Wu, Qiang Cheng
2021	J	`jnl`	Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction. CoRR Xinxing Wu, Qiang Cheng
2021	J	`jnl`	Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. Chong Peng, Qiang Cheng
2021	A*	`conf`	Fractal Autoencoders for Feature Selection. AAAI Xinxing Wu, Qiang Cheng
2021	B	`conf`	Hyperspectral Image Denoising With Log-Based Robust PCA. ICIP Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng
2021	J	`jnl`	Hyperspectral Image Denoising with Log-Based Robust PCA. CoRR Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng
2021	J	`jnl`	Kernel two-dimensional ridge regression for subspace clustering. Pattern Recognit. Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2021	J	`jnl`	Learning discriminative representation for image classification. Knowl. Based Syst. Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng
2021	J	`jnl`	Nonnegative matrix factorization with local similarity learning. Inf. Sci. Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2021	J	`jnl`	Structured graph learning for clustering and semi-supervised classification. Pattern Recognit. Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2020	J	`jnl`	A Uniformly Stable Algorithm For Unsupervised Feature Selection. CoRR Xinxing Wu, Qiang Cheng
2020	J	`jnl`	Adaptive Weighted Discriminator for Training Generative Adversarial Networks. CoRR Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye
2020	J	`jnl`	Fractal Autoencoders for Feature Selection. CoRR Xinxing Wu, Qiang Cheng
2020	J	`jnl`	Kernel Two-Dimensional Ridge Regression for Subspace Clustering. CoRR Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2020	J	`jnl`	Robust principal component analysis: A factorization-based approach with linear complexity. Inf. Sci. Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2020	J	`jnl`	Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2020	J	`jnl`	Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering. CoRR Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2019	J	`jnl`	A Novel Independent RNN Approach to Classification of Seizures against Non-seizures. CoRR Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang
2019	J	`jnl`	Automated Classification of Seizures against Nonseizures: A Deep Learning Approach. CoRR Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang
2019	J	`jnl`	Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data. CoRR Chong Peng, Qiang Cheng
2019	A*	`conf`	Exploiting Edge Features for Graph Neural Networks. CVPR Liyu Gong, Qiang Cheng
2019	J	`jnl`	Lie Group Auto-Encoder. CoRR Liyu Gong, Qiang Cheng
2019	J	`jnl`	Nonnegative Matrix Factorization with Local Similarity Learning. CoRR Chong Peng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2019	A*	`conf`	RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. CVPR Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng
2019	J	`jnl`	RES-PCA: A Scalable Approach to Recovering Low-rank Matrices. CoRR Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng
2018	J	`jnl`	A Robust Deep Learning Approach for Automatic Seizure Detection. CoRR Xinghua Yao, Xiaojin Li, Qiang Ye, Yan Huang, Qiang Cheng, Guoqiang Zhang
2018	J	`jnl`	Integrate and Conquer: Double-Sided Two-Dimensional ACM Trans. Intell. Syst. Technol. Chong Peng, Zhao Kang, Shuting Cai, Qiang Cheng
2018	A*	`conf`	Unified Spectral Clustering With Optimal Graph. AAAI Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
2017	J	`jnl`	A Supervised Learning Model for High-Dimensional and Large-Scale Data. ACM Trans. Intell. Syst. Technol. Chong Peng, Jie Cheng, Qiang Cheng
2017	A*	`conf`	Clustering with Adaptive Manifold Structure Learning. ICDE Zhao Kang, Chong Peng, Qiang Cheng
2017	—	`conf`	Exploiting Nonlinear Relationships for Top-N Recommender Systems. ICBK Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2017	J	`jnl`	Image Projection Ridge Regression for Subspace Clustering. IEEE Signal Process. Lett. Chong Peng, Zhao Kang, Fei Xu, Yongyong Chen, Qiang Cheng
2017	J	`jnl`	Integrating feature and graph learning with low-rank representation. Neurocomputing Chong Peng, Zhao Kang, Qiang Cheng
2017	J	`jnl`	Kernel-driven similarity learning. Neurocomputing Zhao Kang, Chong Peng, Qiang Cheng
2017	J	`jnl`	Nonnegative Matrix Factorization with Integrated Graph and Feature Learning. ACM Trans. Intell. Syst. Technol. Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng
2017	J	`jnl`	Robust Graph Regularized Nonnegative Matrix Factorization for Clustering. ACM Trans. Knowl. Discov. Data Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng
2017	A*	`conf`	Subspace Clustering via Variance Regularized Ridge Regression. CVPR Chong Peng, Zhao Kang, Qiang Cheng
2017	A*	`conf`	Twin Learning for Similarity and Clustering: A Unified Kernel Approach. AAAI Zhao Kang, Chong Peng, Qiang Cheng
2017	J	`jnl`	Twin Learning for Similarity and Clustering: A Unified Kernel Approach. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2017	J	`jnl`	Unified Spectral Clustering with Optimal Graph. CoRR Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
2016	A*	`conf`	A Fast Factorization-Based Approach to Robust PCA. ICDM Chong Peng, Zhao Kang, Qiang Cheng
2016	J	`jnl`	Feature Selection Embedded Subspace Clustering. IEEE Signal Process. Lett. Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng
2016	A	`conf`	RAP: Scalable RPCA for Low-rank Matrix Recovery. CIKM Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng
2016	A	`conf`	Top-N Recommendation on Graphs. CIKM Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2016	J	`jnl`	Top-N Recommendation on Graphs. CoRR Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2016	A	`conf`	Top-N Recommendation with Novel Rank Approximation. SDM Zhao Kang, Qiang Cheng
2016	J	`jnl`	Top-N Recommendation with Novel Rank Approximation. CoRR Zhao Kang, Qiang Cheng
2016	A*	`conf`	Top-N Recommender System via Matrix Completion. AAAI Zhao Kang, Chong Peng, Qiang Cheng
2016	J	`jnl`	Top-N Recommender System via Matrix Completion. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	A Scalable Projective Scaling Algorithm for l IEEE Trans. Neural Networks Learn. Syst. Hongbo Zhou, Qiang Cheng
2015	J	`jnl`	LogDet Rank Minimization with Application to Subspace Clustering. Comput. Intell. Neurosci. Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng
2015	J	`jnl`	LogDet Rank Minimization with Application to Subspace Clustering. CoRR Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng
2015	A*	`conf`	Robust PCA Via Nonconvex Rank Approximation. ICDM Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	Robust PCA via Nonconvex Rank Approximation. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	Robust Subspace Clustering via Smoothed Rank Approximation. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	Robust Subspace Clustering via Smoothed Rank Approximation. IEEE Signal Process. Lett. Zhao Kang, Chong Peng, Qiang Cheng
2015	A	`conf`	Robust Subspace Clustering via Tighter Rank Approximation. CIKM Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	Robust Subspace Clustering via Tighter Rank Approximation. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2015	A*	`conf`	Subspace Clustering Using Log-determinant Rank Approximation. KDD Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng
2014	J	`jnl`	A Minimax Framework for Classification with Applications to Images and High Dimensional Data. IEEE Trans. Pattern Anal. Mach. Intell. Qiang Cheng, Hongbo Zhou, Jie Cheng, Huiqing Li
2014	J	`jnl`	Confidence and prediction intervals for semiparametric mixed-effect least squares support vector machine. Pattern Recognit. Lett. Qiang Cheng, Jale Tezcan, Jie Cheng
2013	C	`conf`	A Multiway Model for Predicting Earthquake Ground Motion. SNPD Yang Bai, Jale Tezcan, Qiang Cheng, Jie Cheng
2011	A*	`conf`	O(N) implicit subspace embedding for unsupervised multi-scale image segmentation. CVPR Hongbo Zhou, Qiang Cheng
2011	J	`jnl`	Real-Time Vector Quantization and Clustering Based on Ordinary Differential Equations. IEEE Trans. Neural Networks Jie Cheng, Mohammad R. Sayeh, Mehdi R. Zargham, Qiang Cheng
2011	J	`jnl`	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. Qiang Cheng, Hongbo Zhou, Jie Cheng
2010	J	`jnl`	A Sparse Learning Machine for High-Dimensional Data with Application to Microarray Gene Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Qiang Cheng
2010	Misc	`conf`	Reparameterization based consistent graph-structured linear programs. SAC Hongbo Zhou, Qiang Cheng, Zhikun She
2010	—	`conf`	Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework. NIPS Hongbo Zhou, Qiang Cheng
2010	B	`conf`	Weighted Kernel Density Estimation of the Prepulse Inhibition Test. SERVICES Hongbo Zhou, Qiang Cheng, Hong-Ju Yang, Haiyun Xu
2009	—	`conf`	A Hybrid Computational Approach for the Prediction of Small Non-coding RNAs from Genome Sequences. CSE (2) Ning Yu, Kyu Hong Cho, Qiang Cheng, Rafael A. Tesorero
2009	—	`conf`	A New Computational Tool for the Post Session Analysis of the Prepulse Inhibition Test in Neural Science. CSE (2) Hongbo Zhou, Hong-Ju Yang, Haiyun Xu, Qiang Cheng
2009	—	`conf`	Fast Fusion of Medical Images Based on Bayesian Risk Minimization and Pixon Map. CSE (2) Hongbo Zhou, Qiang Cheng, Mehdi R. Zargham
2009	J	`jnl`	Generalized Embedding of Multiplicative Watermarks. IEEE Trans. Circuits Syst. Video Technol. Qiang Cheng
2009	J	`jnl`	Sparsity Optimization Method for Multivariate Feature Screening for Gene Expression Analysis. J. Comput. Biol. Qiang Cheng, Jie Cheng
2009	—	`conf`	WiFi-Based Telemedicine System: Signal Accuracy and Security. CSE (2) Huyu Qu, Jie Cheng, Qiang Cheng, Le Yi Wang
2008	J	`jnl`	A Novel Distributed Sensor Positioning System Using the Dual of Target Tracking. IEEE Trans. Computers Liqiang Zhang, Qiang Cheng, Yingge Wang, Sherali Zeadally
2006	B	`conf`	Landscape-3D; A Robust Localization Scheme for Sensor Networks over Complex 3D Terrains. LCN Liqiang Zhang, Xiaobo Zhou, Qiang Cheng
2005	—	`conf`	Landscape: a high performance distributed positioning scheme for outdoor sensor networks. WiMob (3) Liqiang Zhang, Qiang Cheng, Yingge Wang, Sherali Zeadally
2005	—	`conf`	SNR Analysis for Phased-Array MRI. ICASSP (2) Yingge Wang, Qiang Cheng, Jie Cheng
2005	—	`conf`	Using Covert Channel to Resist DoS attacks in WLAN. ICWN Huyu Qu, Qiang Cheng, Ece Yaprak
2004	—	`conf`	MV-MAP: Multiresolution Video Visualization and Summarization on MAPs. ICPR (3) Yingge Wang, Qiang Cheng, Jie Cheng, Thomas S. Huang
2004	J	`jnl`	Performance analysis and error exponents of asymmetric watermarking systems. Signal Process. Qiang Cheng, Yingge Wang, Thomas S. Huang
2004	—	`conf`	Unconfined mobile Bluetooth nursing and daily data collection. CCNC Xuanwen Luo, Qiang Cheng
2003	—	`conf`	How to design efficient watermarks? ICASSP (3) Qiang Cheng, Yingge Wang, Thomas S. Huang
2003	—	`conf`	Maximizing efficacy for efficient watermarking systems. ICIP (2) Qiang Cheng, Yingge Wang, Thomas S. Huang
2003	J	`jnl`	Robust optimum detection of transform domain multiplicative watermarks. IEEE Trans. Signal Process. Qiang Cheng, Thomas S. Huang
2002	C	`conf`	Framework for digital video watermarking with dual watermarks. VCIP Qiang Cheng, Ruoyu Roy Wang, Thomas S. Huang
2002	—	`—`	Multimedia Watermarking Qiang Cheng
2002	Misc	`conf`	Optimum detection and decoding of multiplicative watermarks in DFT domain. ICASSP Qiang Cheng, Thomas S. Huang
2001	J	`jnl`	An additive approach to transform-domain information hiding and optimum detection structure. IEEE Trans. Multim. Qiang Cheng, Thomas S. Huang
2001	A*	`conf`	An image watermarking technique using pyramid transform. ACM Multimedia Qiang Cheng, Thomas S. Huang
2001	A	`conf`	Combined Audio And Videowatermarking Using Mel-Frequency Cepstra. ICME Qiang Cheng, Thomas S. Huang, Hao Pan
2001	A	`conf`	Optimum Detection of Multiplicative Watermarks using Locally Optimum Decision Rule. ICME Qiang Cheng, Thomas S. Huang
2001	—	`conf`	Optimum detection of robust perceptual-model-based image-adaptive watermarks. ICIP (2) Qiang Cheng, Thomas S. Huang
2001	Misc	`conf`	Spread spectrum signaling for speech watermarking. ICASSP Qiang Cheng, Jeffrey Sorensen
2000	B	`conf`	A DCT-Domain Blind Watermarking System Using Optimum Detection on Laplacian Model. ICIP Qiang Cheng, Thomas S. Huang
2000	A	`conf`	Blind Digital Watermarking for Images and Videos and Performance Analysis. IEEE International Conference on Multimedia and Expo (I) Qiang Cheng, Thomas S. Huang
2000	A*	`conf`	Identify Regions of Interest(ROI) for video watermark embedment with Principle Component Analysis. ACM Multimedia Roy Wang, Qiang Cheng, Thomas S. Huang