Bo Zong
Bo Zong
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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
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
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
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
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
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
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
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
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
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
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
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
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
Deep autoencoding gaussian mixture model for unsupervised anomaly detection.(2018)
B Zong, Q Song, MR Min, W Cheng, C Lumezanu, D Cho, H Chen
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
Parameterized explainer for graph neural network
D Luo, W Cheng, D Xu, W Yu, B Zong, H Chen, X Zhang
arXiv preprint arXiv:2011.04573, 2020
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
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, ...
ICLR, 2020
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
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
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1395-1402, 2020
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