Stebėti
Meng Fang
Pavadinimas
Cituota
Cituota
Metai
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
3742017
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
2712016
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
2122019
Curriculum-guided hindsight experience replay
M Fang, T Zhou, Y Du, L Han, Z Zhang
Advances in Neural Information Processing Systems, 2019
1902019
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
1792015
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
1282019
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
1212022
Revisiting metric learning for few-shot image classification
X Li, L Yu, CW Fu, M Fang, PA Heng
Neurocomputing 406, 49-58, 2020
1142020
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
1092018
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
1082018
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
1012019
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
842021
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
822022
Active learning for crowdsourcing using knowledge transfer
M Fang, J Yin, D Tao
AAAI Conference on Artificial Intelligence 28 (1), 2014
812014
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
792022
Model transfer for tagging low-resource languages using a bilingual dictionary
M Fang, T Cohn
Annual Meeting of the Association for Computational Linguistics, 2017
742017
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
652021
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
602018
Where would i go next? large language models as human mobility predictors
X Wang, M Fang, Z Zeng, T Cheng
arXiv preprint arXiv:2308.15197, 2023
552023
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
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