Bo Zong

According to our database1, Bo Zong authored at least 46 papers between 2009 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Graph Substructure Assembling Network With Soft Sequence and Context Attention.
IEEE Trans. Knowl. Data Eng., May, 2023

Merlion: End-to-End Machine Learning for Time Series.
J. Mach. Learn. Res., 2023

2022
Deep Federated Anomaly Detection for Multivariate Time Series Data.
Proceedings of the IEEE International Conference on Big Data, 2022

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
CoRR, 2021

Merlion: A Machine Learning Library for Time Series.
CoRR, 2021

Unsupervised Document Embedding via Contrastive Augmentation.
CoRR, 2021

Modeling Context Pair Interaction for Pairwise Tasks on Graphs.
Proceedings of the WSDM '21, 2021

Learning to Drop: Robust Graph Neural Network via Topological Denoising.
Proceedings of the WSDM '21, 2021

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Unsupervised Concept Representation Learning for Length-Varying Text Similarity.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Aspect-based Sentiment Classification via Reinforcement Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multi-Task Recurrent Modular Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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

Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Parameterized Explainer for Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Graph Representation Learning via Neural Sparsification.
Proceedings of the 37th International Conference on Machine Learning, 2020

Inductive and Unsupervised Representation Learning on Graph Structured Objects.
Proceedings of the 8th International Conference on Learning Representations, 2020

T<sup>2</sup>-Net: A Semi-supervised Deep Model for Turbulence Forecasting.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
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

2018
Learning IP network representations.
Comput. Commun. Rev., 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

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

2015
Mining and Managing Large-Scale Temporal Graphs.
PhD thesis, 2015

Behavior Query Discovery in System-Generated Temporal Graphs.
Proc. VLDB Endow., 2015

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

2014
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

2012
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

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


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