Qiang Cheng

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Citations	3311	2005
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Zhao Kang（康昭）Associate Professor, University of Electronic Science and Technology of China (电子科技大学)Verified email at uestc.edu.cn
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
Liqiang ZhangProfessor of Computer Science, Indiana University South BendVerified email at iu.edu
GQ ZhangProfessor at University of Texas Health Science Center at HoustonVerified email at uth.tmc.edu
Jeffrey SorensenGoogle, Inc.Verified email at ieee.org
Zenglin XuHarbin Institute of Technology, Shenzhen & Peng Cheng LabVerified email at hit.edu.cn
Zhihua DuSouthern Illinois UniversityVerified email at siu.edu
Keith PennypackerUniversity of KentuckyVerified email at uky.edu
Justin F. Fraser, MDUniversity of KentuckyVerified email at uky.edu
Haiyun XuShantou UniversityVerified email at stu.edu.cn
Gregory JichaUniversity of KentuckyVerified email at uky.edu
Donna M WilcockUniversity of KentuckyVerified email at uky.edu
Ning YuState University of New York College at BrockportVerified email at brockport.edu
Guan WangUniversity of Southern CaliforniaVerified email at usc.edu
Hao Panengineer, AppleVerified email at apple.com
Hamid Soltanian-ZadehSenior Scientist, Henry Ford Hospital, Professor, University of Tehran,Verified email at ut.ac.ir
Zhikun SheSchool of Mathematics and Systems Science, Beihang UniversityVerified email at buaa.edu.cn
Yajun WangMicrosoft CorporationVerified email at microsoft.com
Bruce D KochSenior Director, Scientific Service Centers, Stanford University School of MedicineVerified email at stanford.edu
Qiang YeUniversity of Kentucky

Qiang Cheng

U Kentucky

Verified email at uky.edu

data science machine learning pattern recognition signal/image processing biomedical informatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Assessing the carcinogenic potential of low-dose exposures to chemical mixtures in the environment: the challenge ahead WH Goodson III, L Lowe, DO Carpenter, M Gilbertson, A Manaf Ali, ... Carcinogenesis 36 (Suppl_1), S254-S296, 2015	270	2015
An additive approach to transform-domain information hiding and optimum detection structure Q Cheng, TS Huang IEEE Transactions on Multimedia 3 (3), 273-284, 2001	256	2001
Robust optimum detection of transform domain multiplicative watermarks Q Cheng, TS Huang IEEE Transactions on Signal Processing 51 (4), 906-924, 2003	237	2003
Exploiting edge features for graph neural networks L Gong, Q Cheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	148*	2019
The fisher-markov selector: fast selecting maximally separable feature subset for multiclass classification with applications to high-dimensional data Q Cheng, H Zhou, J Cheng IEEE transactions on pattern analysis and machine intelligence 33 (6), 1217-1233, 2010	139	2010
A novel distributed sensor positioning system using the dual of target tracking L Zhang, Q Cheng, Y Wang, S Zeadally IEEE Transactions on Computers 57 (2), 246-260, 2008	123	2008
Robust PCA via nonconvex rank approximation Z Kang, C Peng, Q Cheng 2015 IEEE International Conference on Data Mining, 211-220, 2015	117	2015
Landscape-3D; a robust localization scheme for sensor networks over complex 3D terrains L Zhang, X Zhou, Q Cheng Proceedings. 2006 31st IEEE Conference on Local Computer Networks, 239-246, 2006	110	2006
Top-n recommender system via matrix completion Z Kang, C Peng, Q Cheng Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	99	2016
Kernel-driven similarity learning Z Kang, C Peng, Q Cheng Neurocomputing 267, 210-219, 2017	96	2017
Spread spectrum signaling for speech watermarking Q Cheng, J Sorensen 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001	81	2001
A lossless data embedding scheme for medical images in application of e-diagnosis X Luo, Q Cheng, J Tan Proceedings of the 25th Annual International Conference of the IEEE …, 2003	73	2003
Unified spectral clustering with optimal graph Z Kang, C Peng, Q Cheng, Z Xu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	70	2018
Twin learning for similarity and clustering: A unified kernel approach Z Kang, C Peng, Q Cheng Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	66	2017
Subspace clustering using log-determinant rank approximation C Peng, Z Kang, H Li, Q Cheng ACM KDD 2015, 2015	58	2015
Subspace clustering via variance regularized ridge regression C Peng, Z Kang, Q Cheng Proceedings of the IEEE conference on computer vision and pattern …, 2017	53	2017
Disruptive environmental chemicals and cellular mechanisms that confer resistance to cell death KB Narayanan, M Ali, BJ Barclay, Q Cheng, L D’Abronzo, ... Carcinogenesis 36 (Suppl 1), S89-S110, 2015	46	2015
Blind digital watermarking for images and videos and performance analysis Q Cheng, TS Huang 2000 IEEE International Conference on Multimedia and Expo. ICME2000 …, 2000	46	2000
Robust subspace clustering via smoothed rank approximation Z Kang, C Peng, Q Cheng IEEE Signal Processing Letters 22 (11), 2088–2092, 2015	45	2015
A robust deep learning approach for automatic classification of seizures against non-seizures X Yao, X Li, Q Ye, Y Huang, Q Cheng, GQ Zhang Biomedical Signal Processing and Control 64, 102215, 2021	43*	2021

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