Bo Zong

According to our database1, Bo Zong authored at least 22 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.
CoRR, 2020

Temporal Context-Aware Representation Learning for Question Routing.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Deep Co-Clustering.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Self-Attentive Attributed Network Embedding Through Adversarial Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Adaptive Neural Network for Node Classification in Dynamic Networks.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning IP network representations.
Computer Communication Review, 2018

Deep Learning IP Network Representations.
Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2018

Learning Deep Network Representations with Adversarially Regularized Autoencoders.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection.
Proceedings of the 6th International Conference on Learning Representations, 2018

LogLens: A Real-Time Log Analysis System.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

TGNet: Learning to Rank Nodes in Temporal Graphs.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Substructure Assembling Network for Graph Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Nearest Keyword Set Search in Multi-Dimensional Datasets.
IEEE Trans. Knowl. Data Eng., 2016

Behavior Query Discovery in System-Generated Temporal Graphs.
PVLDB, 2015

Herding "small" streaming queries.
Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, 2015

Towards scalable critical alert mining.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Cloud service placement via subgraph matching.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Towards effective partition management for large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Efficient multicasting for delay tolerant networks using graph indexing.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Inferring the Underlying Structure of Information Cascades.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A Broker-Assisting Trust and Reputation System Based on Artificial Neural Network.
Proceedings of the IEEE International Conference on Systems, 2009