Liang Zhao

According to our database1, Liang Zhao authored at least 37 papers between 2013 and 2018.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.
CoRR, 2018

Deep Graph Translation.
CoRR, 2018

Adverse event detection by integrating twitter data and VAERS.
J. Biomedical Semantics, 2018

Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Social Media based Simulation Models for Understanding Disease Dynamics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting.
IEEE Trans. Knowl. Data Eng., 2017

Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization.
Proceedings of the IEEE, 2017

Online and Distributed Robust Regressions under Adversarial Data Corruption.
CoRR, 2017

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks.
CoRR, 2017

Robust Regression via Heuristic Hard Thresholding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online and Distributed Robust Regressions Under Adversarial Data Corruption.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

TRACES: Generating Twitter stories via shared subspace and temporal smoothness.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

A natural language normalization approach to enhance social media text reasoning.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Determining Relative Airport Threats from News and Social Media.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Online Spatial Event Forecasting in Microblogs.
ACM Trans. Spatial Algorithms and Systems, 2016

A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter.
ISPRS Int. J. Geo-Information, 2016

Automatic targeted-domain spatiotemporal event detection in twitter.
GeoInformatica, 2016

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
CoRR, 2016

A topic-focused trust model for Twitter.
Computer Communications, 2016

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Multi-resolution Spatial Event Forecasting in Social Media.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
How events unfold: spatiotemporal mining in social media.
SIGSPATIAL Special, 2015

Spatiotemporal Event Forecasting in Social Media.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Multi-Task Learning for Spatio-Temporal Event Forecasting.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Dynamic theme tracking in Twitter.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators.
CoRR, 2014

Misinformation Propagation in the Age of Twitter.
IEEE Computer, 2014


The EMBERS architecture for streaming predictive analytics.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

2013
STED: semi-supervised targeted-interest event detectionin in twitter.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013


  Loading...