| Learning discrete structures for graph neural networks L Franceschi, M Niepert, M Pontil, X He International conference on machine learning, 1972-1982, 2019 | 502 | 2019 |
| Kernelized rank learning for personalized drug recommendation X He, L Folkman, K Borgwardt Bioinformatics, 2018 | 74 | 2018 |
| 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 | 74 | 2012 |
| 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 | 49 | 2015 |
| 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 | 44 | 2013 |
| Finding the optimal subspace for clustering S Goebl, X He, C Plant, C Böhm 2014 IEEE international conference on data mining, 130-139, 2014 | 35 | 2014 |
| 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 | 34 | 2013 |
| 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 | 32 | 2012 |
| 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 | 28 | 2023 |
| 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 | 21 | 2019 |
| Robust synchronization-based graph clustering J Shao, X He, Q Yang, C Plant, C Böhm Pacific-Asia conference on knowledge discovery and data mining, 249-260, 2013 | 19 | 2013 |
| 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 | 18 | 2022 |
| 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 | 18 | 2018 |
| 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 | 18 | 2017 |
| 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 | 18 | 2014 |
| 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 | 16 | 2013 |
| Learning-based query optimization for multi-probe approximate nearest neighbor search P Zhang, B Yao, C Gao, B Wu, X He, F Li, Y Lu, C Zhan, F Tang The VLDB Journal 32 (3), 623-645, 2023 | 12 | 2023 |
| 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 | 11 | 2011 |
| Lindorm TSDB: A cloud-native time-series database for large-scale monitoring systems C Shen, Q Ouyang, F Li, Z Liu, L Zhu, Y Zou, Q Su, T Yu, Y Yi, J Hu, ... Proceedings of the VLDB Endowment 16 (12), 3715-3727, 2023 | 6 | 2023 |
| Continual learning of artificial intelligence systems based on bi-level optimization A Shaker, F Alesiani, X He US Patent 11,544,558, 2023 | 6 | 2023 |
Claudia PlantProfessor of Computer Science, leader of research group Data Mining and Machine Learning, UniVie在 univie.ac.at 的电子邮件经过验证