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Bo Zong

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
2019 · Chuxu Zhang, Dongjin Song, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 968
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Parameterized Explainer for Graph Neural Network
2020 · Luo, Dongsheng, Cheng, Wei, et al. · arXiv (Cornell University) · 409
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Learning to Drop: Robust Graph Neural Network via Topological Denoising
2021 · Dongsheng Luo, Wei Cheng, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 266
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Learning Deep Network Representations with Adversarially Regularized Autoencoders
2018 · Wenchao Yu, Cheng Zheng, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 184
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Towards effective partition management for large graphs
2012 · Shengqi Yang, Xifeng Yan, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 165
LogLens: A Real-Time Log Analysis System
2018 · Biplob Debnath, Mohiuddin Solaimani, et al. · IEEE International Conference on Distributed Computing Systems (ICDCS) · 117
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
2020 · Xin Dong, Jingchao Ni, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 67
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
2021 · Yinjun Wu, Jingchao Ni, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 61
Efficient multicasting for delay tolerant networks using graph indexing
2012 · Misael Mongiovi, Ambuj K. Singh, et al. · IEEE Conference on Computer Communications (INFOCOM) · 48
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
2020 · Dongkuan Xu, Wei Cheng, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 45
Merlion: A Machine Learning Library for Time Series
2021 · Bhatnagar, Aadyot, Kassianik, Paul, et al. · arXiv (Cornell University) · 44
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Temporal Context-Aware Representation Learning for Question Routing
2020 · Xuchao Zhang, Wei Cheng, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 34
A broker-assisting trust and reputation system based on artificial neural network
2009 · Bo Zong, Feng Xu, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 34
Adaptive Neural Network for Node Classification in Dynamic Networks
2019 · Dongkuan Xu, Wei Cheng, et al. · Proceedings · 33
Behavior query discovery in system-generated temporal graphs
2015 · Bo Zong, Xusheng Xiao, et al. · Proceedings of the VLDB Endowment · 30
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Deep Co-Clustering
2019 · Dongkuan Xu, Wei Cheng, et al. · Society for Industrial and Applied Mathematics eBooks · 24
Substructure Assembling Network for Graph Classification
2018 · Xiaohan Zhao, Bo Zong, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 23
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Inferring the Underlying Structure of Information Cascades
2012 · Bo Zong, Yinghui Wu, et al. · Proceedings · 21
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Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
2020 · Dixian Zhu, Dongjin Song, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 20
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Inductive and Unsupervised Representation Learning on Graph Structured Objects
2020 · Lichen Wang, Bo Zong, et al. · International Conference on Learning Representations · 19
Graph Substructure Assembling Network with Soft Sequence and Context Attention
2022 · Yaming Yang, Ziyu Guan, et al. · IEEE Transactions on Knowledge and Data Engineering · 18
Unsupervised Document Embedding via Contrastive Augmentation
2021 · Luo, Dongsheng, Cheng, Wei, et al. · arXiv (Cornell University) · 15
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Cloud service placement via subgraph matching
2014 · Bo Zong, Ramya Raghavendra, et al. · IEEE International Conference on Data Engineering (ICDE) · 15
TGNet
2018 · Qi Song, Bo Zong, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 14
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Towards scalable critical alert mining
2014 · Bo Zong, Yinghui Wu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 14
Works count: 44
Citation count: 2,785
H-index: 19
I10-index: 31
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