Zengchang Qin (秦曾昌)
Title
Cited by
Cited by
Year
Question classification using head words and their hypernyms
Z Huang, M Thint, Z Qin
Proceedings of the 2008 Conference on empirical methods in natural language …, 2008
2382008
Feature integration analysis of bag-of-features model for image retrieval
J Yu, Z Qin, T Wan, X Zhang
Neurocomputing 120, 355-364, 2013
1642013
Structured knowledge distillation for semantic segmentation
Y Liu, K Chen, C Liu, Z Qin, Z Luo, J Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1432019
Multifocus image fusion based on robust principal component analysis
T Wan, C Zhu, Z Qin
Pattern Recognition Letters 34 (9), 1001-1008, 2013
1392013
A SIFT-LBP IMAGE RETRIEVAL MODEL BASED ON BAG-OF-FEATURES
X Yuan, J Yu, Z Qin, T Wan
ICIP, 0
109*
Decision tree learning with fuzzy labels
Z Qin, J Lawry
Information Sciences 172 (1-2), 91-129, 2005
1022005
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
892018
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
772017
Data augmentation in emotion classification using generative adversarial networks
X Zhu, Y Liu, Z Qin, J Li
arXiv preprint arXiv:1711.00648, 2017
662017
An application of compressive sensing for image fusion
T Wan, Z Qin
International Journal of Computer Mathematics 88 (18), 3915-3930, 2011
602011
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
592018
Auto-painter: Cartoon image generation from sketch by using conditional generative adversarial networks
Y Liu, Z Qin, Z Luo, H Wang
arXiv preprint arXiv:1705.01908, 2017
582017
ROC analysis for predictions made by probabilistic classifiers
ZC Qin
2005 International Conference on Machine Learning and Cybernetics 5, 3119-3124, 2005
522005
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
372011
A novel serial crime prediction model based on Bayesian learning theory
R Liao, X Wang, L Li, Z Qin
2010 international conference on machine learning and cybernetics 4, 1757-1762, 2010
352010
Naive Bayes classification given probability estimation trees
Z Qin
2006 5th International Conference on Machine Learning and Applications …, 2006
312006
Modeling text with graph convolutional network for cross-modal information retrieval
J Yu, Y Lu, Z Qin, W Zhang, Y Liu, J Tan, L Guo
Pacific Rim Conference on Multimedia, 223-234, 2018
302018
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
292012
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
282019
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
282018
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Articles 1–20