He Qing
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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
Parallel K-Means Clustering Based on MapReduce
W Zhao, H Ma, Q He
Cloud Computing: First International Conference, CloudCom 2009, Beijing …, 2009
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
Supervised representation learning: Transfer learning with deep autoencoders
F Zhuang, X Cheng, P Luo, SJ Pan, Q He
Twenty-fourth international joint conference on artificial intelligence, 2015
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
Parallel implementation of apriori algorithm based on mapreduce
N Li, L Zeng, Q He, Z Shi
2012 13th ACIS international conference on software engineering, artificial …, 2012
Survey on transfer learning research
FZ Zhuang, P Luo, Q He, Z Shi
Journal of Software 26 (1), 26-39, 2015
Macrocycles as ion pair receptors
Q He, GI Vargas-Zúñiga, SH Kim, SK Kim, JL Sessler
Chemical reviews 119 (17), 9753-9835, 2019
Parallel extreme learning machine for regression based on MapReduce
Q He, T Shang, F Zhuang, Z Shi
Neurocomputing 102, 52-58, 2013
庄福振, 罗平, 何清, 史忠植
软件学报 26 (1), 26-39, 2015
Extreme support vector machine classifier
Q Liu, Q He, Z Shi
Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008
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
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
Supramolecular chemistry of anionic dimers, trimers, tetramers, and clusters
Q He, P Tu, JL Sessler
Chem 4 (1), 46-93, 2018
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
Learning deep representations via extreme learning machines
W Yu, F Zhuang, Q He, Z Shi
Neurocomputing 149, 308-315, 2015
Exploiting associations between word clusters and document classes for cross‐domain text categorization
F Zhuang, P Luo, H Xiong, Q He, Y Xiong, Z Shi
Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (1 …, 2011
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
何清, 李宁, 罗文娟, 史忠植
模式识别与人工智能 27 (4), 327-336, 2014
Clustering in extreme learning machine feature space
Q He, X Jin, C Du, F Zhuang, Z Shi
Neurocomputing 128, 88-95, 2014
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