| 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 | 272 | 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 | 254 | 2001 |
| Robust optimum detection of transform domain multiplicative watermarks Q Cheng, TS Huang IEEE Transactions on Signal Processing 51 (4), 906-924, 2003 | 240 | 2003 |
| Exploiting edge features for graph neural networks L Gong, Q Cheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 161* | 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 | 141 | 2010 |
| Robust PCA via nonconvex rank approximation Z Kang, C Peng, Q Cheng 2015 IEEE International Conference on Data Mining, 211-220, 2015 | 123 | 2015 |
| 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 |
| 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 | 111 | 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 | 101 | 2016 |
| Kernel-driven similarity learning Z Kang, C Peng, Q Cheng Neurocomputing 267, 210-219, 2017 | 100 | 2017 |
| Spread spectrum signaling for speech watermarking Q Cheng, J Sorensen 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 79 | 2001 |
| 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 | 73 | 2018 |
| 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 | 72 | 2003 |
| 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 | 69 | 2017 |
| Subspace clustering using log-determinant rank approximation C Peng, Z Kang, H Li, Q Cheng ACM KDD 2015, 2015 | 60 | 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 | 52 | 2017 |
| Structured graph learning for clustering and semi-supervised classification Z Kang, C Peng, Q Cheng, X Liu, X Peng, Z Xu, L Tian Pattern Recognition 110, 107627, 2021 | 47 | 2021 |
| 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 | 46* | 2021 |
| 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 |
| Robust subspace clustering via smoothed rank approximation Z Kang, C Peng, Q Cheng IEEE Signal Processing Letters 22 (11), 2088–2092, 2015 | 46 | 2015 |
Zhao Kang（康昭）Associate Professor, University of Electronic Science and Technology of China (电子科技大学)確認したメール アドレス: uestc.edu.cn
