Causal Mechanism-based Model Constructions. - Tsai-Ching Lu; Marek J. Druzdzel; Tze-Yun Leong (UAI, 2000)

Supporting Changes in Structure in Causal Model Construction. - Tsai-Ching Lu; Marek J. Druzdzel (ECSQARU, 2001)

Causal Models, Value of Intervention, and Search for Opportunities. - Tsai-Ching Lu; Marek J. Druzdzel (Probabilistic Graphical Models, 2002)

Annealed MAP. - Changhe Yuan; Tsai-Ching Lu; Marek J. Druzdzel (UAI, 2004)

Mechanism-based Causal Models for Adaptive Decision Support. - Tsai-Ching Lu; Marek J. Druzdzel (AAAI Spring Symposium: Challenges to Decision Support in a Changing World, 2005)

Focusing Strategies for Multiple Fault Diagnosis. - Tsai-Ching Lu; K. Wojtek Przytula (FLAIRS, 2006)

System Diagnosability Analysis Using p-slop MAP. - Tsai-Ching Lu; K. Wojtek Przytula (FLAIRS, 2007)

A General Framework for Generating Multivariate Explanations in Bayesian Networks. - Changhe Yuan; Tsai-Ching Lu (AAAI, 2008)

Detecting and analyzing relationships among anomalies. - David Allen; Tsai-Ching Lu; David J. Huber (IEEE VAST, 2009)

Most Relevant Explanation: Properties, Algorithms, and Evaluations. - Changhe Yuan; Xiaolu Liu; Tsai-Ching Lu; Heejin Lim (UAI, 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 in Bayesian Networks. - Changhe Yuan; Heejin Lim; Tsai-Ching Lu (J. Artif. Intell. Res., 2011)

Progress Curves and the Prediction of Significant Market Events. - Sofia Apreleva; Neil F. Johnson 002; Tsai-Ching Lu (Complex, 2012)

Information Dynamic Spectrum Predicts Critical Transitions. - Kang-Yu Ni; Tsai-Ching Lu (Complex, 2012)

Temporal Motifs Reveal the Dynamics of Editor Interactions in Wikipedia. - David Jurgens; Tsai-Ching Lu (ICWSM, 2012)

Characterizing Online Discussions in Microblogs Using Network Analysis. - Veronika Strnadova; David Jurgens; Tsai-Ching Lu (AAAI Spring Symposium: Analyzing Microtext, 2013)

Detecting future social unrest in unprocessed Twitter data: "Emerging phenomena and big data". - Ryan Compton 001; Craig Lee; Tsai-Ching Lu; Lalindra De Silva; Michael Macy (ISI, 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 002 (ISI, 2013)

Causal Mechanism-based Model Construction - Tsai-Ching Lu; Marek J. Druzdzel; Tze-Yun Leong (CoRR, 2013)

Civil Unrest Prediction: A Tumblr-Based Exploration. - Jiejun Xu; Tsai-Ching Lu; Ryan Compton 001; David Allen (SBP, 2014)

Rolling through tumblr: characterizing behavioral patterns of the microblogging platform. - Jiejun Xu; Ryan Compton 001; Tsai-Ching Lu; David Allen (WebSci, 2014)

Quantifying cross-platform engagement through large-scale user alignment. - Jiejun Xu; Tsai-Ching Lu; Ryan Compton 001; David Allen (WebSci, 2014)

Algorithm Instance Games. - Samuel D. Johnson; Tsai-Ching Lu (CoRR, 2014)

Information dynamic spectrum characterizes system instability toward critical transitions. - Kang-Yu Ni; Tsai-Ching Lu (EPJ Data Sci., 2014)

Using publicly visible social media to build detailed forecasts of civil unrest. - Ryan Compton 001; Craig Lee; Jiejun Xu; Luis Artieda-Moncada; Tsai-Ching Lu; Lalindra De Silva; Michael Macy (Secur. Informatics, 2014)

Toward precise user-topic alignment in online social media. - Jiejun Xu; Tsai-Ching Lu (IEEE BigData, 2015)

Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization. - Jiejun Xu; Tsai-Ching Lu (IUI, 2015)

Network-Based Group Account Classification. - Patrick S. Park; Ryan F. Compton; Tsai-Ching Lu (SBP, 2015)

Inferring User Interests on Tumblr. - Jiejun Xu; Tsai-Ching Lu (SBP, 2015)

Automated classification of extremist Twitter accounts using content-based and network-based features. - Daniel Xie; Jiejun Xu; Tsai-Ching Lu (IEEE BigData, 2016)

What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr. - Daniel Xie; Jiejun Xu; Tsai-Ching Lu (IEEE BigData, 2017)

An Agent-Based Model of Posting Behavior During Times of Societal Unrest. - Krishna C. Bathina; Aruna Jammalamadaka; Jiejun Xu; Tsai-Ching Lu (SBP-BRiMS, 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 (WebSci, 2017)

EDSV: Emerging Defect Surveillance for Vehicles. - Jiejun Xu; Daniel Xie; Tsai-Ching Lu; John A. Cafeo (WebSci, 2017)

Explosive Percolation on Directed Networks Due to Monotonic Flow of Activity. - Alex Waagen; Raissa M. D'Souza; Tsai-Ching Lu (CoRR, 2017)

From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. - Dana Warmsley; Jiejun Xu; Tsai-Ching Lu (IEEE BigData, 2018)

A crowdsourcing triage algorithm for geopolitical event forecasting. - Mohammad Rostami; David J. Huber; Tsai-Ching Lu (RecSys, 2018)

GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics. - Jiejun Xu; Hanghang Tong; Tsai-Ching Lu; Jingrui He; Nadya Bliss (WSDM, 2018)

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 (IEEE BigData, 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 (IEEE BigData, 2019)

Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs. - Alexei Kopylov; Jiejun Xu; Kang-Yu Ni; Shane Roach; Tsai-Ching Lu (IEEE BigData, 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 003; Jun Wu 019; Lihui Liu; Yuchen Yan; Jingrui He; et al. (IEEE BigData, 2020)

Characterizing Disease Spreading via Visibility Graph Embedding. - Kang-Yu Ni; Jiejun Xu; Shane Roach; Tsai-Ching Lu; Alexei Kopylov (IEEE BigData, 2021)

Causal Abstraction Via Emergence for Predicting Bilateral Trade. - Aruna Jammalamadaka; Dana Warmsley; Tsai-Ching Lu (CAWS, 2021)

Semantic Causal Abstraction for Event Prediction. - Sasha Strelnikoff; Aruna Jammalamadaka; Tsai-Ching Lu (CD-MAKE, 2022)

Semi-supervised Learning of Visual Causal Macrovariables. - Aruna Jammalamadaka; Lingyi Zhang; Joseph F. Comer; Sasha Strelnikoff; Ryan Mustari; Tsai-Ching Lu; Rajan Bhattacharyya (FLAIRS, 2023)

Causanom: Anomaly Detection With Flexible Causal Graphs. - Sasha Strelnikoff; Aruna Jammalamadaka; Tsai-Ching Lu (FLAIRS, 2023)