Meng Fang
Meng Fang
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Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clustering
Y Wang, W Zhang, L Wu, X Lin, M Fang, S Pan
arXiv preprint arXiv:1608.05560, 2016
Saliency propagation from simple to difficult
C Gong, D Tao, W Liu, SJ Maybank, M Fang, K Fu, J Yang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Learning how to active learn: A deep reinforcement learning approach
M Fang, Y Li, T Cohn
arXiv preprint arXiv:1708.02383, 2017
Transfer hashing: From shallow to deep
JT Zhou, H Zhao, X Peng, M Fang, Z Qin, RSM Goh
IEEE transactions on neural networks and learning systems 29 (12), 6191-6201, 2018
Active learning for crowdsourcing using knowledge transfer
M Fang, J Yin, D Tao
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence …, 2014
Model transfer for tagging low-resource languages using a bilingual dictionary
M Fang, T Cohn
arXiv preprint arXiv:1705.00424, 2017
Self-taught active learning from crowds
M Fang, X Zhu, B Li, W Ding, X Wu
2012 IEEE 12th International Conference on Data Mining, 858-863, 2012
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection
M Fang, T Cohn
arXiv preprint arXiv:1607.01133, 2016
Dual adversarial neural transfer for low-resource named entity recognition
JT Zhou, H Zhang, D Jin, H Zhu, M Fang, RSM Goh, K Kwok
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Networked bandits with disjoint linear payoffs
M Fang, D Tao
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Transfer learning across networks for collective classification
M Fang, J Yin, X Zhu
2013 IEEE 13th International Conference on Data Mining, 161-170, 2013
TrGraph: Cross-network transfer learning via common signature subgraphs
M Fang, J Yin, X Zhu, C Zhang
IEEE Transactions on Knowledge and Data Engineering 27 (9), 2536-2549, 2015
Bag: Bi-directional attention entity graph convolutional network for multi-hop reasoning question answering
Y Cao, M Fang, D Tao
arXiv preprint arXiv:1904.04969, 2019
DHER: Hindsight experience replay for dynamic goals
M Fang, C Zhou, B Shi, B Gong, J Xu, T Zhang
International Conference on Learning Representations, 2018
Hierarchical sampling for multi-instance ensemble learning
H Yuan, M Fang, X Zhu
IEEE Transactions on Knowledge and Data Engineering 25 (12), 2900-2905, 2012
Active learning with uncertain labeling knowledge
M Fang, X Zhu
Pattern Recognition Letters 43, 98-108, 2014
Multi-label active learning based on maximum correntropy criterion: Towards robust and discriminative labeling
Z Wang, B Du, L Zhang, L Zhang, M Fang, D Tao
European conference on computer vision, 453-468, 2016
Teaching Semi-Supervised Classifier via Generalized Distillation.
C Gong, X Chang, M Fang, J Yang
IJCAI, 2156-2162, 2018
Knowledge transfer for multi-labeler active learning
M Fang, J Yin, X Zhu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
Learning with annotation of various degrees
JT Zhou, M Fang, H Zhang, C Gong, X Peng, Z Cao, RSM Goh
IEEE transactions on neural networks and learning systems 30 (9), 2794-2804, 2019
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