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Qing He
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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, 2020
66972020
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 34 (8), 3549-3568, 2020
10852020
Parallel K-Means Clustering Based on MapReduce
W Zhao, H Ma, Q He
Cloud Computing: First International Conference, CloudCom 2009, Beijing …, 2009
9912009
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
9592020
Supervised representation learning: Transfer learning with deep autoencoders.
F Zhuang, X Cheng, P Luo, SJ Pan, Q He
IJCAI 15, 4119-4125, 2015
4892015
Pick and choose: a GNN-based imbalanced learning approach for fraud detection
Y Liu, X Ao, Z Qin, J Chi, J Feng, H Yang, Q He
Proceedings of the web conference 2021, 3168-3177, 2021
3662021
Parallel implementation of apriori algorithm based on mapreduce
N Li, L Zeng, Q He, Z Shi
International Journal of Networked and Distributed Computing 1 (2), 89-96, 2013
2572013
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
2552019
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
2302022
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
2292020
Warm up cold-start advertisements: Improving ctr predictions via learning to learn id embeddings
F Pan, S Li, X Ao, P Tang, Q He
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
2202019
Survey on transfer learning research
庄福振， 罗平， 何清， 史忠植
Journal of software 26 (1), 26-39, 2014
2192014
Chinesebert: Chinese pretraining enhanced by glyph and pinyin information
Z Sun, X Li, X Sun, Y Meng, X Ao, Q He, F Wu, J Li
arXiv preprint arXiv:2106.16038, 2021
2162021
Parallel extreme learning machine for regression based on MapReduce
Q He, T Shang, F Zhuang, Z Shi
Neurocomputing 102, 52-58, 2013
1932013
Intelligent financial fraud detection practices in post-pandemic era
X Zhu, X Ao, Z Qin, Y Chang, Y Liu, Q He, J Li
The Innovation 2 (4), 2021
1792021
Extreme support vector machine classifier
Q Liu, Q He, Z Shi
Pacific-asia conference on knowledge discovery and data mining, 222-233, 2008
1542008
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
1412021
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
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
1292017
Financial defaulter detection on online credit payment via multi-view attributed heterogeneous information network
Q Zhong, Y Liu, X Ao, B Hu, J Feng, J Tang, Q He
Proceedings of the web conference 2020, 785-795, 2020
1262020
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