Seguir
Meng Fang
Título
Citado por
Citado por
Año
Learning how to active learn: A deep reinforcement learning approach
M Fang, Y Li, T Cohn
Conference on Empirical Methods in Natural Language Processing, 2017
3272017
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
International Joint Conference on Artificial Intelligence, 2016
2582016
Saliency propagation from simple to difficult
C Gong, D Tao, W Liu, SJ Maybank, M Fang, K Fu, J Yang
IEEE Conference on Computer Vision and Pattern Recognition, 2531-2539, 2015
1732015
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, 2019
1702019
Curriculum-guided hindsight experience replay
M Fang, T Zhou, Y Du, L Han, Z Zhang
Advances in Neural Information Processing Systems, 2019
1602019
Dual adversarial neural transfer for low-resource named entity recognition
JT Zhou, H Zhang, D Jin, H Zhu, M Fang, RSM Goh, K Kwok
Annual Meeting of the Association for Computational Linguistics, 3461-3471, 2019
1212019
Revisiting metric learning for few-shot image classification
X Li, L Yu, CW Fu, M Fang, PA Heng
Neurocomputing 406, 49-58, 2020
1052020
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
1022018
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
982018
Bag: Bi-directional attention entity graph convolutional network for multi-hop reasoning question answering
Y Cao, M Fang, D Tao
Annual Conference of the North American Chapter of the Association for …, 2019
962019
Active learning for crowdsourcing using knowledge transfer
M Fang, J Yin, D Tao
AAAI Conference on Artificial Intelligence 28 (1), 2014
802014
Model transfer for tagging low-resource languages using a bilingual dictionary
M Fang, T Cohn
Annual Meeting of the Association for Computational Linguistics, 2017
702017
Learning granularity-unified representations for text-to-image person re-identification
Z Shao, X Zhang, M Fang, Z Lin, J Wang, C Ding
Proceedings of the 30th acm international conference on multimedia, 5566-5574, 2022
612022
Self-taught active learning from crowds
M Fang, X Zhu, B Li, W Ding, X Wu
IEEE International Conference on Data Mining, 858-863, 2012
552012
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL
R Yang, Y Lu, W Li, H Sun, M Fang, Y Du, X Li, L Han, C Zhang
International Conference on Learning Representations, 2022
542022
DAGN: Discourse-Aware Graph Network for Logical Reasoning
Y Huang, M Fang, Y Cao, L Wang, X Liang
Annual Conference of the North American Chapter of the Association for …, 2021
532021
Reinforcement learning with multiple relational attention for solving vehicle routing problems
Y Xu, M Fang, L Chen, G Xu, Y Du, C Zhang
IEEE Transactions on Cybernetics 52 (10), 11107-11120, 2021
502021
Enhancing the robustness of neural collaborative filtering systems under malicious attacks
Y Du, M Fang, J Yi, C Xu, J Cheng, D Tao
IEEE Transactions on Multimedia 21 (3), 555-565, 2018
482018
Transfer learning across networks for collective classification
M Fang, J Yin, X Zhu
IEEE International Conference on Data Mining, 161-170, 2013
482013
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics
Z Zhang, M Fang, L Chen, MR Namazi-Rad
Annual Conference of the North American Chapter of the Association for …, 2022
472022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20