He Qing

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Fuzhen Zhuang (庄福振)Professor at Institute of Artificial Intelligence, Beihang UniversityVerified email at buaa.edu.cn
Ping LUOInstitute of Computing Technology, CASVerified email at ict.ac.cn
Xiang Ao 敖翔Associate Professor@Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Hui Xiong, Fellow of AAAS and IEEERutgers University/Baidu/HKUSTVerified email at rutgers.edu
Weizhong ZhaoSchool of Computer, Central China Normal UniversityVerified email at mail.ccnu.edu.cn
Changying DuMomentaVerified email at momenta.ai
Xing Xie 谢幸Senior Principal Research Manager, Microsoft, CCF Fellow, IEEE Fellow, ACM Distinguished MemberVerified email at microsoft.com
Xin Jin (金鑫)huaweiVerified email at ics.ict.ac.cn
Zheng Zheng北京航空航天大学教授Verified email at buaa.edu.cn
Chuan ShiBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Chengkai LiProfessor of Computer Science and Engineering, The University of Texas at ArlingtonVerified email at uta.edu
Jie LU AO, FIEEE, FIFSA, Australian L...Distinguished Professor, Director of Australian Artificial Intelligence InstituteVerified email at uts.edu.au
Yoan MicheNokia Bell LabsVerified email at nokia-bell-labs.com
Amaury LendasseUniversity of HoustonVerified email at central.uh.edu
Qingyong LIProfessor of Beijing Jiaotong UniversityVerified email at bjtu.edu.cn
Shuhui Wang（王树徽）Professor, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
George KarypisDistinguished McKnight University Professor, University of MinnesotaVerified email at umn.edu
Peifeng YinPinterestVerified email at pinterest.com
Guoxing ZhanWayne State UniversityVerified email at wayne.edu

He Qing

Institute of Computing Technology,Chinese Academy of Sciences

Verified email at ict.ac.cn - Homepage

machine learning data mining transfer learning cloud computing big data


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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	2380	2020
Parallel K-Means Clustering Based on MapReduce W Zhao, H Ma, Q He Cloud Computing: First International Conference, CloudCom 2009, Beijing …, 2009	930	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	376	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	357	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	307	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	243	2012
Survey on transfer learning research FZ Zhuang, P Luo, Q He, Z Shi Journal of Software 26 (1), 26-39, 2015	181	2015
Macrocycles as ion pair receptors Q He, GI Vargas-Zúñiga, SH Kim, SK Kim, JL Sessler Chemical reviews 119 (17), 9753-9835, 2019	180	2019
Parallel extreme learning machine for regression based on MapReduce Q He, T Shang, F Zhuang, Z Shi Neurocomputing 102, 52-58, 2013	177	2013
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	166	2015
Extreme support vector machine classifier Q Liu, Q He, Z Shi Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008	143	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	126	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	120	2019
Supramolecular chemistry of anionic dimers, trimers, tetramers, and clusters Q He, P Tu, JL Sessler Chem 4 (1), 46-93, 2018	117	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	110	2020
Learning deep representations via extreme learning machines W Yu, F Zhuang, Q He, Z Shi Neurocomputing 149, 308-315, 2015	109	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	108	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	103	2019
大数据下的机器学习算法综述何清，李宁，罗文娟，史忠植模式识别与人工智能 27 (4), 327-336, 2014	99	2014
Clustering in extreme learning machine feature space Q He, X Jin, C Du, F Zhuang, Z Shi Neurocomputing 128, 88-95, 2014	98	2014

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