| 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 | 289 | 2018 |
| Towards effective partition management for large graphs S Yang, X Yan, B Zong, A Khan Proceedings of the 2012 international conference on Management of Data, 517-528, 2012 | 179 | 2012 |
| 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, 1409-1416, 2019 | 87 | 2019 |
| 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 | 81 | 2018 |
| Efficient multicasting for delay tolerant networks using graph indexing M Mongiovi, K Psounis, AK Singh, X Yan, B Zong INFOCOM, 2012 Proceedings IEEE, 1386 -1394, 2012 | 55 | 2012 |
| A broker-assisting trust and reputation system based on artificial neural network B Zong, F Xu, J Jiao, J Lv 2009 IEEE International Conference on Systems, Man and Cybernetics, 4710-4715, 2009 | 36 | 2009 |
| LogLens: A real-time log analysis system B Debnath, M Solaimani, MAG Gulzar, N Arora, C Lumezanu, J Xu, ... 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 29 | 2018 |
| Nearest Keyword Set Search in Multi-dimensional Datasets V Singh, B Zong, A Singh IEEE Transactions on Knowledge and Data Engineering 28 (3), 741 - 755, 2015 | 24 | 2015 |
| Inferring the Underlying Structure of Information Cascades B Zong, Y Wu, AK Singh, X Yan Data Mining (ICDM), 2012 IEEE 12th International Conference on, 1218-1223, 2012 | 21 | 2012 |
| Behavior query discovery in system-generated temporal graphs B Zong, X Xiao, Z Li, Z Wu, Z Qian, X Yan, AK Singh, G Jiang arXiv preprint arXiv:1511.05911, 2015 | 20 | 2015 |
| Towards scalable critical alert mining B Zong, Y Wu, J Song, AK Singh, H Cam, J Han, X Yan Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 18 | 2014 |
| Cloud Service Placement via Subgraph Matching B Zong, R Raghavendra, M Srivatsa, X Yan, AK Singh, KW Lee Data Engineering (ICDE), 2014 IEEE 30th International Conference on, 832 - 843, 2014 | 18 | 2014 |
| Deep autoencoding gaussian mixture model for unsupervised anomaly detection.(2018) B Zong, Q Song, MR Min, W Cheng, C Lumezanu, D Cho, H Chen | 13 | 2018 |
| Substructure assembling network for graph classification X Zhao, B Zong, Z Guan, K Zhang, W Zhao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 9 | 2018 |
| Adaptive neural network for node classification in dynamic networks D Xu, W Cheng, D Luo, Y Gu, X Liu, J Ni, B Zong, H Chen, X Zhang 2019 IEEE International Conference on Data Mining (ICDM), 1402-1407, 2019 | 7 | 2019 |
| Deep learning ip network representations M Li, C Lumezanu, B Zong, H Chen Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning …, 2018 | 5 | 2018 |
| Method and system for behavior query construction in temporal graphs using discriminative sub-trace mining LI Zhichun, X Xiao, Z Wu, B Zong, G Jiang US Patent App. 14/932,799, 2016 | 5 | 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 | 4 | 2020 |
| Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. D Xu, W Cheng, B Zong, D Song, J Ni, W Yu, Y Liu, H Chen, X Zhang AAAI, 1395-1402, 2020 | 4 | 2020 |
| Inductive and unsupervised representation learning on graph structured objects L Wang, B Zong, Q Ma, W Cheng, J Ni, W Yu, Y Liu, D Song, H Chen, ... International Conference on Learning Representations, 2019 | 4 | 2019 |
Haifeng ChenNEC Laboratories America, Inc.Verified email at chacuo.net
