Haifeng Chen
Haifeng Chen
NEC Laboratories America, Inc.
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
Network-aware coordination of virtual machine migrations in enterprise data centers and clouds
H Chen, G Jiang
US Patent 8,694,644, 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
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
Robust regression with projection based m-estimators
H Chen
Proceedings Ninth IEEE International Conference on Computer Vision, 878-885, 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
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
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
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
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
Link prediction with spatial and temporal consistency in dynamic networks.
W Yu, W Cheng, CC Aggarwal, H Chen, W Wang
IJCAI, 3343-3349, 2017
The system can't perform the operation now. Try again later.
Articles 1–20