Meng Fang
Meng Fang
Unknown affiliation
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
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
1582016
Learning how to active learn: A deep reinforcement learning approach
M Fang, Y Li, T Cohn
arXiv preprint arXiv:1708.02383, 2017
1292017
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
1282015
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
762018
Active learning for crowdsourcing using knowledge transfer
M Fang, J Yin, D Tao
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
552014
Model transfer for tagging low-resource languages using a bilingual dictionary
M Fang, T Cohn
arXiv preprint arXiv:1705.00424, 2017
482017
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
402012
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
312016
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
292019
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
262019
Networked bandits with disjoint linear payoffs
M Fang, D Tao
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
262014
Transfer learning across networks for collective classification
M Fang, J Yin, X Zhu
2013 IEEE 13th International Conference on Data Mining, 161-170, 2013
252013
Liir: Learning individual intrinsic reward in multi-agent reinforcement learning
Y Du, L Han, M Fang, J Liu, T Dai, D Tao
Advances in Neural Information Processing Systems 32, 4403-4414, 2019
242019
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
232018
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
232015
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
182012
Curriculum-guided hindsight experience replay
M Fang, T Zhou, Y Du, L Han, Z Zhang
172019
Active learning with uncertain labeling knowledge
M Fang, X Zhu
Pattern Recognition Letters 43, 98-108, 2014
172014
Revisiting metric learning for few-shot image classification
X Li, L Yu, CW Fu, M Fang, PA Heng
Neurocomputing 406, 49-58, 2020
152020
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
152016
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