default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQiang Shawn Cheng
Qiang Cheng 0001
Person information
- affiliation: University of Kentucky, Department of Computer Science, Institute of Biomedical Informatics, Lexington, KY, USA
- affiliation (2012 - 2017): Southern Illinois University, Department of Computer Science, Carbondale, IL, USA
- affiliation: Siemens Medical Solutions, Inc., Princeton, NJ, USA
- affiliation (PhD 2002): University of Illinois, Urbana-Champaign, IL, USA
Other persons with the same name
- Qiang Cheng — disambiguation page
- Qiang Cheng 0002
![[0000-0002-2442-8357]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2442-8357")
— Southeast University, State Key Laboratory of Millimeter Waves, Nanjing, China - Qiang Cheng 0003 — China Agricultural University, College of Information and Electrical Engineering, Beijing, China
- Qiang Cheng 0004 — Beijing University of Technology, College of Mechanical Engineering and Applied Electronics Technology, Institute of Advanced Manufacturing and Intelligent Technology, Beijing, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j37]Chong Peng, Kehan Kang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering. IEEE Trans. Image Process. 33: 3145-3160 (2024)- [j36]Honglei Su, Qi Liu, Hui Yuan, Qiang Cheng, Raouf Hamzaoui:
Support Vector Regression-Based Reduced- Reference Perceptual Quality Model for Compressed Point Clouds. IEEE Trans. Multim. 26: 6238-6249 (2024) - [i31]Md Atik Ahamed, Qiang Cheng:
MambaTab: A Simple Yet Effective Approach for Handling Tabular Data. CoRR abs/2401.08867 (2024) - [i30]Md Atik Ahamed, Qiang Cheng:
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting. CoRR abs/2403.09898 (2024) - [i29]Md Atik Ahamed, Qiang Cheng:
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification. CoRR abs/2406.04419 (2024) - 2023
- [j35]Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. Knowl. Based Syst. 279: 110946 (2023) - [e1]Reyer Zwiggelaar, Geetha Ganesan, Qiang Shawn Cheng, Ke-Lin Du, Srinivasa Rao Satti:
Proceedings of the Algorithms, Computing and Mathematics Conference 2022 (ACM 2022), Hybrid Event, Chennai, India, August 29 - 30, 2022. CEUR Workshop Proceedings 3445, CEUR-WS.org 2023 [contents] - 2022
- [j34]Chong Peng, Zhilu Zhang, Chenglizhao Chen, Zhao Kang, Qiang Cheng:
Two-dimensional semi-nonnegative matrix factorization for clustering. Inf. Sci. 590: 106-141 (2022) - [j33]Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Log-based sparse nonnegative matrix factorization for data representation. Knowl. Based Syst. 251: 109127 (2022) - [j32]Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang, Li Guo, Qiang Cheng:
Preserving bilateral view structural information for subspace clustering. Knowl. Based Syst. 258: 109915 (2022) - [j31]Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c49]Xinxing Wu, Qiang Cheng:
Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders. IJCAI 2022: 3587-3593 - [i28]Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization. CoRR abs/2201.02812 (2022) - [i27]Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Log-based Sparse Nonnegative Matrix Factorization for Data Representation. CoRR abs/2204.10647 (2022) - [i26]Xinxing Wu, Chong Peng, Gregory Jicha, Donna Wilcock, Qiang Cheng:
PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions. CoRR abs/2208.12811 (2022) - [i25]Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng:
Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets. CoRR abs/2209.05438 (2022) - [i24]Xinxing Wu, Chong Peng, Richard J. Charnigo, Qiang Cheng:
Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction. CoRR abs/2209.15450 (2022) - 2021
- [j30]Xinghua Yao, Xiaojin Li, Qiang Ye, Yan Huang, Qiang Cheng, Guo-Qiang Zhang:
A robust deep learning approach for automatic classification of seizures against non-seizures. Biomed. Signal Process. Control. 64: 102215 (2021) - [j29]Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Nonnegative matrix factorization with local similarity learning. Inf. Sci. 562: 325-346 (2021) - [j28]Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng:
Learning discriminative representation for image classification. Knowl. Based Syst. 233: 107517 (2021) - [j27]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured graph learning for clustering and semi-supervised classification. Pattern Recognit. 110: 107627 (2021) - [j26]Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Kernel two-dimensional ridge regression for subspace clustering. Pattern Recognit. 113: 107749 (2021) - [j25]Chong Peng, Qiang Cheng:
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2595-2609 (2021) - [c48]Xinxing Wu, Qiang Cheng:
Fractal Autoencoders for Feature Selection. AAAI 2021: 10370-10378 - [c47]Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye:
Adaptive Weighted Discriminator for Training Generative Adversarial Networks. CVPR 2021: 4781-4790 - [c46]Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising With Log-Based Robust PCA. ICIP 2021: 1634-1638 - [c45]Xinxing Wu, Qiang Cheng:
Algorithmic stability and generalization of an unsupervised feature selection algorithm. NeurIPS 2021: 19860-19875 - [i23]Xinxing Wu, Qiang Cheng:
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction. CoRR abs/2103.11414 (2021) - [i22]Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising with Log-Based Robust PCA. CoRR abs/2105.11927 (2021) - 2020
- [j24]Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Robust principal component analysis: A factorization-based approach with linear complexity. Inf. Sci. 513: 581-599 (2020) - [i21]Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering. CoRR abs/2005.09229 (2020) - [i20]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR abs/2008.13429 (2020) - [i19]Xinxing Wu, Qiang Cheng:
A Uniformly Stable Algorithm For Unsupervised Feature Selection. CoRR abs/2010.09416 (2020) - [i18]Xinxing Wu, Qiang Cheng:
Fractal Autoencoders for Feature Selection. CoRR abs/2010.09430 (2020) - [i17]Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Kernel Two-Dimensional Ridge Regression for Subspace Clustering. CoRR abs/2011.01477 (2020) - [i16]Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye:
Adaptive Weighted Discriminator for Training Generative Adversarial Networks. CoRR abs/2012.03149 (2020)
2010 – 2019
- 2019
- [c44]Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng:
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. CVPR 2019: 7317-7325 - [c43]Liyu Gong, Qiang Cheng:
Exploiting Edge Features for Graph Neural Networks. CVPR 2019: 9211-9219 - [i15]Liyu Gong, Qiang Cheng:
Lie Group Auto-Encoder. CoRR abs/1901.09970 (2019) - [i14]Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang:
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures. CoRR abs/1903.09326 (2019) - [i13]Chong Peng, Qiang Cheng:
Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data. CoRR abs/1904.07496 (2019) - [i12]Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng:
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices. CoRR abs/1904.07497 (2019) - [i11]Chong Peng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Nonnegative Matrix Factorization with Local Similarity Learning. CoRR abs/1907.04150 (2019) - 2018
- [j23]Chong Peng, Zhao Kang, Shuting Cai, Qiang Cheng:
Integrate and Conquer: Double-Sided Two-Dimensional k-Means Via Integrating of Projection and Manifold Construction. ACM Trans. Intell. Syst. Technol. 9(5): 57:1-57:25 (2018) - [c42]Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
Unified Spectral Clustering With Optimal Graph. AAAI 2018: 3366-3373 - [i10]Xinghua Yao, Xiaojin Li, Qiang Ye, Yan Huang, Qiang Cheng, Guoqiang Zhang:
A Robust Deep Learning Approach for Automatic Seizure Detection. CoRR abs/1812.06562 (2018) - 2017
- [j22]Chong Peng, Zhao Kang, Qiang Cheng:
Integrating feature and graph learning with low-rank representation. Neurocomputing 249: 106-116 (2017) - [j21]Zhao Kang, Chong Peng, Qiang Cheng:
Kernel-driven similarity learning. Neurocomputing 267: 210-219 (2017) - [j20]Chong Peng, Zhao Kang, Fei Xu, Yongyong Chen, Qiang Cheng:
Image Projection Ridge Regression for Subspace Clustering. IEEE Signal Process. Lett. 24(7): 991-995 (2017) - [j19]Chong Peng, Jie Cheng, Qiang Cheng:
A Supervised Learning Model for High-Dimensional and Large-Scale Data. ACM Trans. Intell. Syst. Technol. 8(2): 30:1-30:23 (2017) - [j18]Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng:
Nonnegative Matrix Factorization with Integrated Graph and Feature Learning. ACM Trans. Intell. Syst. Technol. 8(3): 42:1-42:29 (2017) - [j17]Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng:
Robust Graph Regularized Nonnegative Matrix Factorization for Clustering. ACM Trans. Knowl. Discov. Data 11(3): 33:1-33:30 (2017) - [c41]Zhao Kang, Chong Peng, Qiang Cheng:
Twin Learning for Similarity and Clustering: A Unified Kernel Approach. AAAI 2017: 2080-2086 - [c40]Chong Peng, Zhao Kang, Qiang Cheng:
Subspace Clustering via Variance Regularized Ridge Regression. CVPR 2017: 682-691 - [c39]Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng:
Exploiting Nonlinear Relationships for Top-N Recommender Systems. ICBK 2017: 49-56 - [c38]Zhao Kang, Chong Peng, Qiang Cheng:
Clustering with Adaptive Manifold Structure Learning. ICDE 2017: 79-82 - [i9]Zhao Kang, Chong Peng, Qiang Cheng:
Twin Learning for Similarity and Clustering: A Unified Kernel Approach. CoRR abs/1705.00678 (2017) - [i8]Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
Unified Spectral Clustering with Optimal Graph. CoRR abs/1711.04258 (2017) - 2016
- [j16]Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng:
Feature Selection Embedded Subspace Clustering. IEEE Signal Process. Lett. 23(7): 1018-1022 (2016) - [c37]Zhao Kang, Chong Peng, Qiang Cheng:
Top-N Recommender System via Matrix Completion. AAAI 2016: 179-185 - [c36]Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng:
Top-N Recommendation on Graphs. CIKM 2016: 2101-2106 - [c35]Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng:
RAP: Scalable RPCA for Low-rank Matrix Recovery. CIKM 2016: 2113-2118 - [c34]Chong Peng, Zhao Kang, Qiang Cheng:
A Fast Factorization-Based Approach to Robust PCA. ICDM 2016: 1137-1142 - [c33]Zhao Kang, Qiang Cheng:
Top-N Recommendation with Novel Rank Approximation. SDM 2016: 126-134 - [i7]Zhao Kang, Chong Peng, Qiang Cheng:
Top-N Recommender System via Matrix Completion. CoRR abs/1601.04800 (2016) - [i6]Zhao Kang, Qiang Cheng:
Top-N Recommendation with Novel Rank Approximation. CoRR abs/1602.07783 (2016) - [i5]Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng:
Top-N Recommendation on Graphs. CoRR abs/1609.08264 (2016) - 2015
- [j15]Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng:
LogDet Rank Minimization with Application to Subspace Clustering. Comput. Intell. Neurosci. 2015: 824289:1-824289:10 (2015) - [j14]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Smoothed Rank Approximation. IEEE Signal Process. Lett. 22(11): 2088-2092 (2015) - [j13]Hongbo Zhou, Qiang Cheng:
A Scalable Projective Scaling Algorithm for lp Loss With Convex Penalizations. IEEE Trans. Neural Networks Learn. Syst. 26(2): 265-276 (2015) - [c32]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Tighter Rank Approximation. CIKM 2015: 393-401 - [c31]Zhao Kang, Chong Peng, Qiang Cheng:
Robust PCA Via Nonconvex Rank Approximation. ICDM 2015: 211-220 - [c30]Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng:
Subspace Clustering Using Log-determinant Rank Approximation. KDD 2015: 925-934 - [i4]Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng:
LogDet Rank Minimization with Application to Subspace Clustering. CoRR abs/1507.00908 (2015) - [i3]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Smoothed Rank Approximation. CoRR abs/1508.04467 (2015) - [i2]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Tighter Rank Approximation. CoRR abs/1510.08971 (2015) - [i1]Zhao Kang, Chong Peng, Qiang Cheng:
Robust PCA via Nonconvex Rank Approximation. CoRR abs/1511.05261 (2015) - 2014
- [j12]Qiang Cheng, Hongbo Zhou, Jie Cheng, Huiqing Li:
A Minimax Framework for Classification with Applications to Images and High Dimensional Data. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2117-2130 (2014) - [j11]Qiang Cheng, Jale Tezcan, Jie Cheng:
Confidence and prediction intervals for semiparametric mixed-effect least squares support vector machine. Pattern Recognit. Lett. 40: 88-95 (2014) - 2013
- [c29]Yang Bai, Jale Tezcan, Qiang Cheng, Jie Cheng:
A Multiway Model for Predicting Earthquake Ground Motion. SNPD 2013: 219-224 - 2011
- [j10]Qiang Cheng, Hongbo Zhou, Jie Cheng:
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. 33(6): 1217-1233 (2011) - [j9]Jie Cheng, Mohammad R. Sayeh, Mehdi R. Zargham, Qiang Cheng:
Real-Time Vector Quantization and Clustering Based on Ordinary Differential Equations. IEEE Trans. Neural Networks 22(12): 2143-2148 (2011) - [c28]Hongbo Zhou, Qiang Cheng:
O(N) implicit subspace embedding for unsupervised multi-scale image segmentation. CVPR 2011: 2209-2215 - 2010
- [j8]Qiang Cheng:
A Sparse Learning Machine for High-Dimensional Data with Application to Microarray Gene Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 7(4): 636-646 (2010) - [c27]Hongbo Zhou, Qiang Cheng:
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework. NIPS 2010: 2577-2585 - [c26]Hongbo Zhou, Qiang Cheng, Zhikun She:
Reparameterization based consistent graph-structured linear programs. SAC 2010: 974-978 - [c25]Hongbo Zhou, Qiang Cheng, Hong-Ju Yang, Haiyun Xu:
Weighted Kernel Density Estimation of the Prepulse Inhibition Test. SERVICES 2010: 291-297
2000 – 2009
- 2009
- [j7]Qiang Cheng, Jie Cheng:
Sparsity Optimization Method for Multivariate Feature Screening for Gene Expression Analysis. J. Comput. Biol. 16(9): 1241-1252 (2009) - [j6]Qiang Cheng:
Generalized Embedding of Multiplicative Watermarks. IEEE Trans. Circuits Syst. Video Technol. 19(7): 978-988 (2009) - [c24]Ning Yu, Kyu Hong Cho, Qiang Cheng, Rafael A. Tesorero:
A Hybrid Computational Approach for the Prediction of Small Non-coding RNAs from Genome Sequences. CSE (2) 2009: 1071-1076 - [c23]Hongbo Zhou, Hong-Ju Yang, Haiyun Xu, Qiang Cheng:
A New Computational Tool for the Post Session Analysis of the Prepulse Inhibition Test in Neural Science. CSE (2) 2009: 1077-1080 - [c22]Huyu Qu, Jie Cheng, Qiang Cheng, Le Yi Wang:
WiFi-Based Telemedicine System: Signal Accuracy and Security. CSE (2) 2009: 1081-1085 - [c21]Hongbo Zhou, Qiang Cheng, Mehdi R. Zargham:
Fast Fusion of Medical Images Based on Bayesian Risk Minimization and Pixon Map. CSE (2) 2009: 1086-1091 - 2008
- [j5]Qiang Shawn Cheng, Mehdi R. Zargham:
Efficient compression for multiplanar reformulated biomedical images for interactive visualisation. Int. J. Funct. Informatics Pers. Medicine 1(1): 68-79 (2008) - [j4]Liqiang Zhang, Qiang Cheng, Yingge Wang, Sherali Zeadally:
A Novel Distributed Sensor Positioning System Using the Dual of Target Tracking. IEEE Trans. Computers 57(2): 246-260 (2008) - [c20]Hongbo Zhou, Qiang Shawn Cheng, Mehdi R. Zargham:
Prediction of Protein Function Using Graph Container and Message Passing. BIOCOMP 2008: 718-723 - 2007
- [c19]Qiang Shawn Cheng, Mehdi R. Zargham:
An Efficient Compression Method for Multiplanar Reformulated Biomedical Images. BIBE 2007: 578-584 - 2006
- [c18]Liqiang Zhang, Xiaobo Zhou, Qiang Cheng:
Landscape-3D; A Robust Localization Scheme for Sensor Networks over Complex 3D Terrains. LCN 2006: 239-246 - 2005
- [c17]Yingge Wang, Qiang Cheng, Jie Cheng:
SNR Analysis for Phased-Array MRI. ICASSP (2) 2005: 493-496 - [c16]Huyu Qu, Qiang Cheng, Ece Yaprak:
Using Covert Channel to Resist DoS attacks in WLAN. ICWN 2005: 38-44 - [c15]Liqiang Zhang, Qiang Cheng, Yingge Wang, Sherali Zeadally:
Landscape: a high performance distributed positioning scheme for outdoor sensor networks. WiMob (3) 2005: 430-437 - 2004
- [j3]Qiang Cheng, Yingge Wang, Thomas S. Huang:
Performance analysis and error exponents of asymmetric watermarking systems. Signal Process. 84(8): 1429-1445 (2004) - [c14]Xuanwen Luo, Qiang Cheng:
Unconfined mobile Bluetooth nursing and daily data collection. CCNC 2004: 693-696 - [c13]Yingge Wang, Qiang Cheng, Jie Cheng, Thomas S. Huang:
MV-MAP: Multiresolution Video Visualization and Summarization on MAPs. ICPR (3) 2004: 886-889 - 2003
- [j2]Qiang Cheng, Thomas S. Huang:
Robust optimum detection of transform domain multiplicative watermarks. IEEE Trans. Signal Process. 51(4): 906-924 (2003) - [c12]Qiang Cheng, Yingge Wang, Thomas S. Huang:
How to design efficient watermarks? ICASSP (3) 2003: 49-52 - [c11]Qiang Cheng, Yingge Wang, Thomas S. Huang:
Maximizing efficacy for efficient watermarking systems. ICIP (2) 2003: 747-750 - 2002
- [b1]Qiang Cheng:
Multimedia Watermarking. University of Illinois Urbana-Champaign, USA, 2002 - [c10]Qiang Cheng, Thomas S. Huang:
Optimum detection and decoding of multiplicative watermarks in DFT domain. ICASSP 2002: 3477-3480 - [c9]Qiang Cheng, Ruoyu Roy Wang, Thomas S. Huang:
Framework for digital video watermarking with dual watermarks. VCIP 2002: 513-520 - 2001
- [j1]Qiang Cheng, Thomas S. Huang:
An additive approach to transform-domain information hiding and optimum detection structure. IEEE Trans. Multim. 3(3): 273-284 (2001) - [c8]Qiang Cheng, Jeffrey Sorensen:
Spread spectrum signaling for speech watermarking. ICASSP 2001: 1337-1340 - [c7]Qiang Cheng, Thomas S. Huang:
Optimum detection of robust perceptual-model-based image-adaptive watermarks. ICIP (2) 2001: 490-493 - [c6]Qiang Cheng, Thomas S. Huang:
Optimum Detection of Multiplicative Watermarks using Locally Optimum Decision Rule. ICME 2001 - [c5]Qiang Cheng, Thomas S. Huang, Hao Pan:
Combined Audio And Videowatermarking Using Mel-Frequency Cepstra. ICME 2001 - [c4]Qiang Cheng, Thomas S. Huang:
An image watermarking technique using pyramid transform. ACM Multimedia 2001: 319-328 - 2000
- [c3]Qiang Cheng, Thomas S. Huang:
A DCT-Domain Blind Watermarking System Using Optimum Detection on Laplacian Model. ICIP 2000: 454-457 - [c2]Qiang Cheng, Thomas S. Huang:
Blind Digital Watermarking for Images and Videos and Performance Analysis. IEEE International Conference on Multimedia and Expo (I) 2000: 389-392 - [c1]Roy Wang, Qiang Cheng, Thomas S. Huang:
Identify Regions of Interest(ROI) for video watermark embedment with Principle Component Analysis. ACM Multimedia 2000: 459-461
Coauthor Index
[j37] [j35] [j34] [j33] [j32] [j31] [i28] [i27] [i26] [i25] [i24] [j29] [j28] [j27] [j26] [j25] [c46] [i22] [j24] [i21] [i20] [i17] [c44] [i13] [i12] [i11] [j23] [c42] [j22] [j21] [j20] [j19] [j18] [j17] [c41] [c40] [c39] [c38] [i9] [i8] [j16] [c37] [c36] [c35] [c34] [i7] [i5] [j15] [j14] [c32] [c31] [c30] [i4] [i3] [i2] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-20 00:42 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
