Stebėti
Fuzhen Zhuang (庄福振)
Fuzhen Zhuang (庄福振)
Professor at Institute of Artificial Intelligence, Beihang University
Patvirtintas el. paštas buaa.edu.cn - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
A comprehensive survey on transfer learning
F Zhuang, Z Qi, K Duan, D Xi, Y Zhu, H Zhu, H Xiong, Q He
Proceedings of the IEEE 109 (1), 43-76, 2021
66082021
A survey on knowledge graph-based recommender systems
Q Guo, F Zhuang, C Qin, H Zhu, X Xie, H Xiong, Q He
IEEE Transactions on Knowledge and Data Engineering, 2020
10752020
Deep subdomain adaptation network for image classification
Y Zhu, F Zhuang, J Wang, G Ke, J Chen, J Bian, H Xiong, Q He
IEEE transactions on neural networks and learning systems 32 (4), 1713-1722, 2020
9452020
Graph contextualized self-attention network for session-based recommendation.
C Xu, P Zhao, Y Liu, VS Sheng, J Xu, F Zhuang, J Fang, X Zhou
IJCAI 19 (2019), 3940-3946, 2019
6962019
Where to go next: A spatio-temporal gated network for next poi recommendation
P Zhao, A Luo, Y Liu, J Xu, Z Li, F Zhuang, VS Sheng, X Zhou
IEEE Transactions on Knowledge and Data Engineering 34 (5), 2512-2524, 2020
5342020
Supervised representation learning: Transfer learning with deep autoencoders.
F Zhuang, X Cheng, P Luo, SJ Pan, Q He
IJCAI 15, 4119-4125, 2015
4842015
Sequential recommender system based on hierarchical attention network
H Ying, F Zhuang, F Zhang, Y Liu, G Xu, X Xie, H Xiong, J Wu
IJCAI international joint conference on artificial intelligence, 2018
4332018
Aligning domain-specific distribution and classifier for cross-domain classification from multiple sources
Y Zhu, F Zhuang, D Wang
Proceedings of the AAAI conference on artificial intelligence 33 (01), 5989-5996, 2019
3852019
Multi-representation adaptation network for cross-domain image classification
Y Zhu, F Zhuang, J Wang, J Chen, Z Shi, W Wu, Q He
Neural Networks 119, 214-221, 2019
2512019
Relational graph neural network with hierarchical attention for knowledge graph completion
Z Zhang, F Zhuang, H Zhu, Z Shi, H Xiong, Q He
Proceedings of the AAAI conference on artificial intelligence 34 (05), 9612-9619, 2020
2272020
Personalized transfer of user preferences for cross-domain recommendation
Y Zhu, Z Tang, Y Liu, F Zhuang, R Xie, X Zhang, L Lin, Q He
Proceedings of the fifteenth ACM international conference on web search and …, 2022
2202022
Survey on transfer learning research
FZ Zhuang, P Luo, Q He, Z Shi
Journal of software 26 (1), 26-39, 2015
219*2015
迁移学习研究进展
庄福振， 罗平， 何清， 史忠植
软件学报 26 (1), 26-39, 2015
2072015
Parallel extreme learning machine for regression based on MapReduce
Q He, T Shang, F Zhuang, Z Shi
Neurocomputing 102, 52-58, 2013
1932013
Promptbert: Improving bert sentence embeddings with prompts
T Jiang, J Jiao, S Huang, Z Zhang, D Wang, F Zhuang, F Wei, H Huang, ...
arXiv preprint arXiv:2201.04337, 2022
1922022
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
T Jiang, D Wang, L Sun, H Yang, Z Zhao, F Zhuang
arXiv preprint arXiv:2101.03305, 2021
1692021
Learning to warm up cold item embeddings for cold-start recommendation with meta scaling and shifting networks
Y Zhu, R Xie, F Zhuang, K Ge, Y Sun, X Zhang, L Lin, J Cao
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
1502021
Transfer learning from multiple source domains via consensus regularization
P Luo, F Zhuang, H Xiong, Y Xiong, Q He
Proceedings of the 17th ACM conference on Information and knowledge …, 2008
1362008
Transfer-meta framework for cross-domain recommendation to cold-start users
Y Zhu, K Ge, F Zhuang, R Xie, D Xi, X Zhang, L Lin, Q He
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
1332021
Representation learning via dual-autoencoder for recommendation
F Zhuang, Z Zhang, M Qian, C Shi, X Xie, Q He
Neural Networks 90, 83-89, 2017
1282017
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Straipsniai 1–20