Tsai-Ching Lu

According to our database, Tsai-Ching Lu authored at least 47 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Causanom: Anomaly Detection With Flexible Causal Graphs.

Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Semi-supervised Learning of Visual Causal Macrovariables.

Aruna Jammalamadaka, Lingyi Zhang, Joseph F. Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2022

Semantic Causal Abstraction for Event Prediction.

Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu

Proceedings of the Machine Learning and Knowledge Extraction, 2022

2021

Causal Abstraction Via Emergence for Predicting Bilateral Trade.

Aruna Jammalamadaka, Dana Warmsley, Tsai-Ching Lu

Proceedings of the Causal Analysis Workshop Series, 2021

Characterizing Disease Spreading via Visibility Graph Embedding.

Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities.

Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs.

Alexei Kopylov, Jiejun Xu, Kang-Yu Ni, Shane Roach, Tsai-Ching Lu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events.

David J. Huber, Nigel Stepp, Aruna Jammalamadaka, Tiffany Kim, Sam Johnson, Dana Warmsley, Tsai-Ching Lu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events.

David J. Huber, Samuel D. Johnson, Nigel Stepp, Aruna Jammalamadaka, Dana Warmsley, Tiffany Kim, Tsai-Ching Lu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

GTA³ 2018: Workshop on Graph Techniques for Adversarial Activity Analytics.

Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

A crowdsourcing triage algorithm for geopolitical event forecasting.

Mohammad Rostami, David J. Huber, Tsai-Ching Lu

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media.

Dana Warmsley, Jiejun Xu, Tsai-Ching Lu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Explosive Percolation on Directed Networks Due to Monotonic Flow of Activity.

Alex Waagen, Raissa M. D'Souza, Tsai-Ching Lu

CoRR, 2017

EDSV: Emerging Defect Surveillance for Vehicles.

Jiejun Xu, Daniel Xie, Tsai-Ching Lu, John A. Cafeo

Proceedings of the 2017 ACM on Web Science Conference, 2017

Characterizing Regional and Behavioral Device Variations Across the Twitter Timeline: A Longitudinal Study.

Laura Cruz-Albrecht, Jiejun Xu, Kang-Yu Ni, Tsai-Ching Lu

Proceedings of the 2017 ACM on Web Science Conference, 2017

An Agent-Based Model of Posting Behavior During Times of Societal Unrest.

Krishna C. Bathina, Aruna Jammalamadaka, Jiejun Xu, Tsai-Ching Lu

Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr.

Daniel Xie, Jiejun Xu, Tsai-Ching Lu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Automated classification of extremist Twitter accounts using content-based and network-based features.

Daniel Xie, Jiejun Xu, Tsai-Ching Lu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Inferring User Interests on Tumblr.

Jiejun Xu, Tsai-Ching Lu

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Network-Based Group Account Classification.

Patrick S. Park, Ryan F. Compton, Tsai-Ching Lu

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization.

Jiejun Xu, Tsai-Ching Lu

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Toward precise user-topic alignment in online social media.

Jiejun Xu, Tsai-Ching Lu

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Using publicly visible social media to build detailed forecasts of civil unrest.

Ryan Compton, Craig Lee, Jiejun Xu, Luis Artieda-Moncada, Tsai-Ching Lu, Lalindra De Silva, Michael Macy

Secur. Informatics, 2014

Information dynamic spectrum characterizes system instability toward critical transitions.

Kang-Yu Ni, Tsai-Ching Lu

EPJ Data Sci., 2014

Algorithm Instance Games.

Samuel D. Johnson, Tsai-Ching Lu

CoRR, 2014

Quantifying cross-platform engagement through large-scale user alignment.

Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen

Proceedings of the ACM Web Science Conference, 2014

Rolling through tumblr: characterizing behavioral patterns of the microblogging platform.

Jiejun Xu, Ryan Compton, Tsai-Ching Lu, David Allen

Proceedings of the ACM Web Science Conference, 2014

Civil Unrest Prediction: A Tumblr-Based Exploration.

Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

2013

Causal Mechanism-based Model Construction

Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong

CoRR, 2013

Context matters: Improving the uses of big data for forecasting civil unrest: Emerging phenomena and big data.

Pedro D. Manrique, Hong Qi, Ana Morgenstern, Nicolas Velasquez, Tsai-Ching Lu, Neil F. Johnson

Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

Detecting future social unrest in unprocessed Twitter data: "Emerging phenomena and big data".

Ryan Compton, Craig Lee, Tsai-Ching Lu, Lalindra De Silva, Michael Macy

Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

Characterizing Online Discussions in Microblogs Using Network Analysis.

Veronika Strnadova, David Jurgens, Tsai-Ching Lu

Proceedings of the Analyzing Microtext, 2013

2012

Temporal Motifs Reveal the Dynamics of Editor Interactions in Wikipedia.

David Jurgens, Tsai-Ching Lu

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Information Dynamic Spectrum Predicts Critical Transitions.

Kang-Yu Ni, Tsai-Ching Lu

Proceedings of the Complex Sciences - Second International Conference, 2012

Progress Curves and the Prediction of Significant Market Events.

Sofia Apreleva, Neil F. Johnson, Tsai-Ching Lu

Proceedings of the Complex Sciences - Second International Conference, 2012

2011

Most Relevant Explanation in Bayesian Networks.

Changhe Yuan, Heejin Lim, Tsai-Ching Lu

J. Artif. Intell. Res., 2011

2009

Interactive construction of graphical decision models based on causal mechanisms.

Tsai-Ching Lu, Marek J. Druzdzel

Eur. J. Oper. Res., 2009

Most Relevant Explanation: Properties, Algorithms, and Evaluations.

Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim

Proceedings of the UAI 2009, 2009

Detecting and analyzing relationships among anomalies.

David Allen, Tsai-Ching Lu, David J. Huber

Proceedings of the 4th IEEE Symposium on Visual Analytics Science and Technology, 2009

2008

A General Framework for Generating Multivariate Explanations in Bayesian Networks.

Changhe Yuan, Tsai-Ching Lu

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

System Diagnosability Analysis Using p-slop MAP.

Tsai-Ching Lu, K. Wojtek Przytula

Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

2006

Focusing Strategies for Multiple Fault Diagnosis.

Tsai-Ching Lu, K. Wojtek Przytula

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005

Mechanism-based Causal Models for Adaptive Decision Support.

Tsai-Ching Lu, Marek J. Druzdzel

Proceedings of the Challenges to Decision Support in a Changing World, 2005

2004

Annealed MAP.

Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel

Proceedings of the UAI '04, 2004

2002

Causal Models, Value of Intervention, and Search for Opportunities.

Tsai-Ching Lu, Marek J. Druzdzel

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

2001

Supporting Changes in Structure in Causal Model Construction.

Tsai-Ching Lu, Marek J. Druzdzel

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000

Causal Mechanism-based Model Constructions.

Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000