| 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 | 2270 | 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 | 1667 | 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 | 953 | 2019 |
| 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 | 730 | 2020 |
| 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 | 433 | 2018 |
| 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 | 333 | 2020 |
| 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 | 279 | 2021 |
| 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 | 240 | 2016 |
| You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. Q Wang, WU Hassan, D Li, K Jee, X Yu, K Zou, J Rhee, Z Chen, W Cheng, ... NDSS, 2020 | 231 | 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 | 229 | 2018 |
| Infogcl: Information-aware graph contrastive learning D Xu, W Cheng, D Luo, H Chen, X Zhang Advances in Neural Information Processing Systems 34, 30414-30425, 2021 | 216 | 2021 |
| 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 | 188 | 2009 |
| Exploring the limits of chatgpt for query or aspect-based text summarization X Yang, Y Li, X Zhang, H Chen, W Cheng arXiv preprint arXiv:2302.08081, 2023 | 186 | 2023 |
| Network-aware coordination of virtual machine migrations in enterprise data centers and clouds H Chen, G Jiang US Patent 8,694,644, 2014 | 176 | 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 | 152 | 2006 |
| Interpretable click-through rate prediction through hierarchical attention Z Li, W Cheng, Y Chen, H Chen, W Wang Proceedings of the 13th international conference on web search and data …, 2020 | 131 | 2020 |
| Structural temporal graph neural networks for anomaly detection in dynamic graphs L Cai, Z Chen, C Luo, J Gui, J Ni, D Li, H Chen Proceedings of the 30th ACM international conference on Information …, 2021 | 130 | 2021 |
| Robust regression with projection based m-estimators H Chen Proceedings Ninth IEEE International Conference on Computer Vision, 878-885, 2003 | 125 | 2003 |
| Large models for time series and spatio-temporal data: A survey and outlook M Jin, Q Wen, Y Liang, C Zhang, S Xue, X Wang, J Zhang, Y Wang, ... arXiv preprint arXiv:2310.10196, 2023 | 116 | 2023 |
| 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 | 116 | 2006 |