| Feature integration analysis of bag-of-features model for image retrieval J Yu, Z Qin, T Wan, X Zhang Neurocomputing 120, 355-364, 2013 | 154 | 2013 |
| Multifocus image fusion based on robust principal component analysis T Wan, C Zhu, Z Qin Pattern Recognition Letters 34 (9), 1001-1008, 2013 | 140 | 2013 |
| Compressive image fusion T Wan, N Canagarajah, A Achim 2008 15th IEEE international conference on image processing, 1308-1311, 2008 | 119 | 2008 |
| A SIFT-LBP image retrieval model based on bag of features X Yuan, J Yu, Z Qin, T Wan IEEE international conference on image processing, 1061-1064, 2011 | 107 | 2011 |
| Segmentation-driven image fusion based on alpha-stable modeling of wavelet coefficients T Wan, N Canagarajah, A Achim IEEE Transactions on Multimedia 11 (4), 624-633, 2009 | 88 | 2009 |
| Emotion classification with data augmentation using generative adversarial networks X Zhu, Y Liu, J Li, T Wan, Z Qin Pacific-Asia conference on knowledge discovery and data mining, 349-360, 2018 | 80 | 2018 |
| Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features T Wan, J Cao, J Chen, Z Qin Neurocomputing 229, 34-44, 2017 | 72 | 2017 |
| An application of compressive sensing for image fusion T Wan, Z Qin International Journal of Computer Mathematics 88 (18), 3915-3930, 2011 | 59 | 2011 |
| Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks Y Liu, Z Qin, T Wan, Z Luo Neurocomputing 311, 78-87, 2018 | 54 | 2018 |
| A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting Onco type DX Risk Scores T Wan, BN Bloch, D Plecha, CIL Thompson, H Gilmore, C Jaffe, L Harris, ... Scientific reports 6 (1), 1-11, 2016 | 42 | 2016 |
| Segmentation of noisy colour images using Cauchy distribution in the complex wavelet domain T Wan, N Canagarajah, A Achim IET Image Processing 5 (2), 159-170, 2011 | 35 | 2011 |
| Classification of benign and malignant breast tumors in ultrasound images based on multiple sonographic and textural features R Liao, T Wan, Z Qin 2011 Third International Conference on Intelligent Human-Machine Systems and …, 2011 | 33 | 2011 |
| Cross-modal topic correlations for multimedia retrieval J Yu, Y Cong, Z Qin, T Wan Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 27 | 2012 |
| A new technique for summarizing video sequences through histogram evolution T Wan, Z Qin 2010 International Conference on Signal Processing and Communications (SPCOM …, 2010 | 25 | 2010 |
| Statistical multiscale image segmentation via alpha-stable modeling T Wan, N Canagarajah, A Achim 2007 IEEE International Conference on Image Processing 4, IV-357-IV-360, 2007 | 25 | 2007 |
| Text generation based on generative adversarial nets with latent variables H Wang, Z Qin, T Wan Pacific-Asia Conference on Knowledge Discovery and Data Mining, 92-103, 2018 | 24 | 2018 |
| Pixel level data augmentation for semantic image segmentation using generative adversarial networks S Liu, J Zhang, Y Chen, Y Liu, Z Qin, T Wan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
| Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology T Wan, X Liu, J Chen, Z Qin 2014 IEEE International conference on image processing (ICIP), 2290-2294, 2014 | 23 | 2014 |
| Stock volatility prediction using recurrent neural networks with sentiment analysis Y Liu, Z Qin, P Li, T Wan International Conference on Industrial, Engineering and Other Applications …, 2017 | 20 | 2017 |
| Context enhancement through image fusion: A multiresolution approach based on convolution of Cauchy distributions T Wan, G Tzagkarakis, P Tsakalides, N Canagarajah, A Achim 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 18 | 2008 |
Zengchang Qin (秦曾昌)Beihang University在 buaa.edu.cn 的电子邮件经过验证
