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Xiao He
Xiao He
Alibaba Group
Verified email at alibaba-inc.com - Homepage
Title
Cited by
Cited by
Year
Learning discrete structures for graph neural networks
L Franceschi, M Niepert, M Pontil, X He
International conference on machine learning, 1972-1982, 2019
4132019
Synchronization-inspired partitioning and hierarchical clustering
J Shao, X He, C Böhm, Q Yang, C Plant
IEEE Transactions on Knowledge and Data Engineering 25 (4), 893-905, 2012
732012
Kernelized rank learning for personalized drug recommendation
X He, L Folkman, K Borgwardt
Bioinformatics, 2018
662018
Anytime density-based clustering of complex data
ST Mai, X He, J Feng, C Plant, C Böhm
Knowledge and Information Systems 45, 319-355, 2015
472015
Active density-based clustering
ST Mai, X He, N Hubig, C Plant, C Böhm
2013 IEEE 13th International Conference on Data Mining, 508-517, 2013
442013
Finding the optimal subspace for clustering
S Goebl, X He, C Plant, C Böhm
2014 IEEE international conference on data mining, 130-139, 2014
352014
Efficient anytime density-based clustering
ST Mai, X He, J Feng, C Böhm
Proceedings of the 2013 SIAM International Conference on Data Mining, 112-120, 2013
332013
Summarization-based mining bipartite graphs
J Feng, X He, B Konte, C Böhm, C Plant
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
332012
Robust synchronization-based graph clustering
J Shao, X He, Q Yang, C Plant, C Böhm
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013
182013
Multi-view spectral clustering on conflicting views
X He, L Li, D Roqueiro, K Borgwardt
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
172017
Relevant overlapping subspace clusters on categorical data
X He, J Feng, B Konte, ST Mai, C Plant
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
172014
Efficient and scalable multi-task regression on massive number of tasks
X He, F Alesiani, A Shaker
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3763-3770, 2019
162019
Compression-based graph mining exploiting structure primitives
J Feng, X He, N Hubig, C Böhm, C Plant
2013 IEEE 13th International Conference on Data Mining, 181-190, 2013
162013
Sam: Database generation from query workloads with supervised autoregressive models
J Yang, P Wu, G Cong, T Zhang, X He
Proceedings of the 2022 International Conference on Management of Data, 1542 …, 2022
142022
Multi-target drug repositioning by bipartite block-wise sparse multi-task learning
L Li, X He, K Borgwardt
BMC systems biology 12, 85-97, 2018
122018
A novel similarity measure for fiber clustering using longest common subsequence
C Böhm, J Feng, X He, ST Mai, C Plant, J Shao
Proceedings of the 2011 workshop on data mining for medicine and healthcare, 1-9, 2011
112011
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting
X He, Y Li, J Tan, B Wu, F Li
arXiv preprint arXiv:2304.01506, 2023
92023
Kernel conditional clustering and kernel conditional semi-supervised learning
X He, T Gumbsch, D Roqueiro, K Borgwardt
Knowledge and information systems 62, 899-925, 2020
52020
Kernel Conditional Clustering
X He, T Gumbsch, D Roqueiro, K Borgwardt
IEEE International Conference on Data Mining (ICDM), 157-166, 2017
52017
Robust continuous co-clustering
X He, L Moreira-Matias
arXiv preprint arXiv:1802.05036, 2018
42018
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Articles 1–20