| 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 | 1224 | 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 | 1043 | 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 | 520 | 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 | 262 | 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 | 250 | 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 | 189 | 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 | 187 | 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 | 176 | 2016 |
| 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 | 158 | 2020 |
| Network-aware coordination of virtual machine migrations in enterprise data centers and clouds H Chen, G Jiang US Patent 8,694,644, 2014 | 153 | 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 regression with projection based m-estimators H Chen Proceedings Ninth IEEE International Conference on Computer Vision, 878-885, 2003 | 123 | 2003 |
| 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 | 112 | 2021 |
| 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 | 111 | 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 | 102 | 2014 |
| 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 -Grams and Automata 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 | 83 | 2017 |
