Deep autoencoding gaussian mixture model for unsupervised anomaly detection B Zong, Q Song, MR Min, W Cheng, C Lumezanu, D Cho, H Chen
International conference on learning representations, 2018
1134 2018 A dual-stage attention-based recurrent neural network for time series prediction Y Qin, D Song, H Chen, W Cheng, G Jiang, G Cottrell
arXiv preprint arXiv:1704.02971, 2017
969 2017 A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ...
Proceedings of the AAAI conference on artificial intelligence 33 (01), 1409-1416, 2019
480 2019 Netwalk: A flexible deep embedding approach for anomaly detection in dynamic networks W Yu, W Cheng, CC Aggarwal, K Zhang, H Chen, W Wang
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
238 2018 Parameterized explainer for graph neural network D Luo, W Cheng, D Xu, W Yu, B Zong, H Chen, X Zhang
Advances in neural information processing systems 33, 19620-19631, 2020
215 2020 Learning deep network representations with adversarially regularized autoencoders W Yu, C Zheng, W Cheng, CC Aggarwal, D Song, B Zong, H Chen, ...
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
187 2018 Intelligent workload factoring for a hybrid cloud computing model H Zhang, G Jiang, K Yoshihira, H Chen, A Saxena
2009 Congress on Services-I, 701-708, 2009
186 2009 Robust online time series prediction with recurrent neural networks T Guo, Z Xu, X Yao, H Chen, K Aberer, K Funaya
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
169 2016 Network-aware coordination of virtual machine migrations in enterprise data centers and clouds H Chen, G Jiang
US Patent 8,694,644, 2014
151 2014 Discovering likely invariants of distributed transaction systems for autonomic system management G Jiang, H Chen, K Yoshihira
2006 IEEE International Conference on Autonomic Computing, 199-208, 2006
150 2006 Robust graph representation learning via neural sparsification C Zheng, B Zong, W Cheng, D Song, J Ni, W Yu, H Chen, W Wang
International Conference on Machine Learning, 11458-11468, 2020
147 2020 Robust regression with projection based m-estimators H Chen
Proceedings Ninth IEEE International Conference on Computer Vision, 878-885, 2003
123 2003 Modeling and tracking of transaction flow dynamics for fault detection in complex systems G Jiang, H Chen, K Yoshihira
IEEE Transactions on Dependable and Secure Computing 3 (4), 312-326, 2006
110 2006 Tracking probabilistic correlation of monitoring data for fault detection in complex systems Z Guo, G Jiang, H Chen, K Yoshihira
International Conference on Dependable Systems and Networks (DSN'06), 259-268, 2006
110 2006 Proactive workload management in hybrid cloud computing H Zhang, G Jiang, K Yoshihira, H Chen
IEEE Transactions on Network and Service Management 11 (1), 90-100, 2014
101 2014 Learning to drop: Robust graph neural network via topological denoising D Luo, W Cheng, W Yu, B Zong, J Ni, H Chen, X Zhang
Proceedings of the 14th ACM international conference on web search and data …, 2021
94 2021 Robust computer vision through kernel density estimation H Chen, P Meer
Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002
91 2002 Multiresolution Abnormal Trace Detection Using Varied-Length G Jiang, H Chen, C Ungureanu, K Yoshihira
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2006
87 2006 Efficient and scalable algorithms for inferring likely invariants in distributed systems G Jiang, H Chen, K Yoshihira
IEEE Transactions on knowledge and data engineering 19 (11), 1508-1523, 2007
85 2007 Link prediction with spatial and temporal consistency in dynamic networks. W Yu, W Cheng, CC Aggarwal, H Chen, W Wang
IJCAI, 3343-3349, 2017
80 2017 