| 2023 | FlAIRS | Semi-supervised Learning of Visual Causal Macrovariables. | Aruna Jammalamadaka, Lingyi Zhang, Joseph F. Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya |
| 2023 | FlAIRS | Causanom: Anomaly Detection With Flexible Causal Graphs. | Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu |
| 2018 | RecSys | A crowdsourcing triage algorithm for geopolitical event forecasting. | Mohammad Rostami, David J. Huber, Tsai-Ching Lu |
| 2018 | WSDM | GTA | Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss |
| 2015 | IUI | Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization. | Jiejun Xu, Tsai-Ching Lu |
| 2013 | ISI | 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 |
| 2013 | ISI | 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 |
| 2012 | ICWSM | Temporal Motifs Reveal the Dynamics of Editor Interactions in Wikipedia. | David Jurgens, Tsai-Ching Lu |
| 2009 | UAI | Most Relevant Explanation: Properties, Algorithms, and Evaluations. | Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim |
| 2008 | AAAI | A General Framework for Generating Multivariate Explanations in Bayesian Networks. | Changhe Yuan, Tsai-Ching Lu |
| 2007 | FlAIRS | System Diagnosability Analysis Using p-slop MAP. | Tsai-Ching Lu, K. Wojtek Przytula |
| 2006 | FlAIRS | Focusing Strategies for Multiple Fault Diagnosis. | Tsai-Ching Lu, K. Wojtek Przytula |
| 2004 | UAI | Annealed MAP. | Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel |
| 2001 | ECSQARU | Supporting Changes in Structure in Causal Model Construction. | Tsai-Ching Lu, Marek J. Druzdzel |
| 2000 | UAI | Causal Mechanism-based Model Constructions. | Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong |