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2020 – today
- 2023
[c40]Aruna Jammalamadaka, Lingyi Zhang, Joseph F. Comer, Sasha Strelnikoff
, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya:
Semi-supervised Learning of Visual Causal Macrovariables. FLAIRS 2023- [c39]Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu:
Causanom: Anomaly Detection With Flexible Causal Graphs. FLAIRS 2023 - 2022
- [c38]Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu:
Semantic Causal Abstraction for Event Prediction. CD-MAKE 2022: 188-200 - 2021
- [c37]Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov:
Characterizing Disease Spreading via Visibility Graph Embedding. IEEE BigData 2021: 2656-2661 - [c36]Aruna Jammalamadaka, Dana Warmsley, Tsai-Ching Lu:
Causal Abstraction Via Emergence for Predicting Bilateral Trade. CAWS 2021: 39-51 - 2020
- [c35]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:
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData 2020: 1634-1643 - [c34]Alexei Kopylov, Jiejun Xu, Kang-Yu Ni, Shane Roach, Tsai-Ching Lu:
Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs. IEEE BigData 2020: 2539-2545
2010 – 2019
- 2019
- [c33]David J. Huber, Samuel D. Johnson, Nigel Stepp, Aruna Jammalamadaka, Dana Warmsley, Tiffany Kim, Tsai-Ching Lu:
MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. IEEE BigData 2019: 2028-2032 - [c32]David J. Huber, Nigel Stepp, Aruna Jammalamadaka, Tiffany Kim, Sam Johnson, Dana Warmsley, Tsai-Ching Lu:
MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. IEEE BigData 2019: 5683-5687 - 2018
- [c31]Dana Warmsley, Jiejun Xu, Tsai-Ching Lu:
From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. IEEE BigData 2018: 3991-3995 - [c30]Mohammad Rostami, David J. Huber, Tsai-Ching Lu:
A crowdsourcing triage algorithm for geopolitical event forecasting. RecSys 2018: 377-381 - [c29]Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss:
GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics. WSDM 2018: 803 - 2017
- [c28]Daniel Xie, Jiejun Xu, Tsai-Ching Lu:
What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr. IEEE BigData 2017: 2168-2176 - [c27]Krishna C. Bathina, Aruna Jammalamadaka, Jiejun Xu, Tsai-Ching Lu:
An Agent-Based Model of Posting Behavior During Times of Societal Unrest. SBP-BRiMS 2017: 53-59 - [c26]Jiejun Xu, Daniel Xie, Tsai-Ching Lu, John A. Cafeo:
EDSV: Emerging Defect Surveillance for Vehicles. WebSci 2017: 219-222 - [c25]Laura Cruz-Albrecht, Jiejun Xu, Kang-Yu Ni, Tsai-Ching Lu:
Characterizing Regional and Behavioral Device Variations Across the Twitter Timeline: A Longitudinal Study. WebSci 2017: 279-288 - [i6]Alex Waagen, Raissa M. D'Souza, Tsai-Ching Lu:
Explosive Percolation on Directed Networks Due to Monotonic Flow of Activity. CoRR abs/1706.06077 (2017) - 2016
- [c24]Daniel Xie, Jiejun Xu, Tsai-Ching Lu:
Automated classification of extremist Twitter accounts using content-based and network-based features. IEEE BigData 2016: 2545-2549 - 2015
- [c23]Jiejun Xu, Tsai-Ching Lu:
Toward precise user-topic alignment in online social media. IEEE BigData 2015: 767-775 - [c22]Jiejun Xu, Tsai-Ching Lu:
Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization. IUI 2015: 62-66 - [c21]Patrick S. Park, Ryan F. Compton, Tsai-Ching Lu:
Network-Based Group Account Classification. SBP 2015: 163-172 - [c20]Jiejun Xu, Tsai-Ching Lu:
Inferring User Interests on Tumblr. SBP 2015: 458-463 - 2014
- [j4]Kang-Yu Ni, Tsai-Ching Lu:
Information dynamic spectrum characterizes system instability toward critical transitions. EPJ Data Sci. 3(1): 28 (2014) - [j3]Ryan Compton, Craig Lee, Jiejun Xu, Luis Artieda-Moncada, Tsai-Ching Lu, Lalindra De Silva, Michael Macy:
Using publicly visible social media to build detailed forecasts of civil unrest. Secur. Informatics 3(1): 4 (2014) - [c19]Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen:
Civil Unrest Prediction: A Tumblr-Based Exploration. SBP 2014: 403-411 - [c18]Jiejun Xu, Ryan Compton, Tsai-Ching Lu, David Allen:
Rolling through tumblr: characterizing behavioral patterns of the microblogging platform. WebSci 2014: 13-22 - [c17]Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen:
Quantifying cross-platform engagement through large-scale user alignment. WebSci 2014: 281-282 - [i5]Changhe Yuan, Heejin Lim, Tsai-Ching Lu:
Most Relevant Explanation in Bayesian Networks. CoRR abs/1401.3893 (2014) - [i4]Samuel D. Johnson, Tsai-Ching Lu:
Algorithm Instance Games. CoRR abs/1405.3296 (2014) - 2013
- [c16]Veronika Strnadova, David Jurgens, Tsai-Ching Lu:
Characterizing Online Discussions in Microblogs Using Network Analysis. AAAI Spring Symposium: Analyzing Microtext 2013 - [c15]Ryan Compton, Craig Lee, Tsai-Ching Lu, Lalindra De Silva, Michael Macy:
Detecting future social unrest in unprocessed Twitter data: "Emerging phenomena and big data". ISI 2013: 56-60 - [c14]Pedro D. Manrique, Hong Qi, Ana Morgenstern, Nicolas Velasquez, Tsai-Ching Lu, Neil F. Johnson:
Context matters: Improving the uses of big data for forecasting civil unrest: Emerging phenomena and big data. ISI 2013: 169-172 - [i3]Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong:
Causal Mechanism-based Model Construction. CoRR abs/1301.3872 (2013) - 2012
- [c13]Sofia Apreleva, Neil F. Johnson, Tsai-Ching Lu:
Progress Curves and the Prediction of Significant Market Events. Complex 2012: 11-28 - [c12]Kang-Yu Ni, Tsai-Ching Lu:
Information Dynamic Spectrum Predicts Critical Transitions. Complex 2012: 267-280 - [c11]David Jurgens, Tsai-Ching Lu:
Temporal Motifs Reveal the Dynamics of Editor Interactions in Wikipedia. ICWSM 2012 - [i2]Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim:
Most Relevant Explanation: Properties, Algorithms, and Evaluations. CoRR abs/1205.2601 (2012) - [i1]Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel:
Annealed MAP. CoRR abs/1207.4153 (2012) - 2011
- [j2]Changhe Yuan, Heejin Lim, Tsai-Ching Lu:
Most Relevant Explanation in Bayesian Networks. J. Artif. Intell. Res. 42: 309-352 (2011)
2000 – 2009
- 2009
- [j1]Tsai-Ching Lu, Marek J. Druzdzel:
Interactive construction of graphical decision models based on causal mechanisms. Eur. J. Oper. Res. 199(3): 873-882 (2009) - [c10]David Allen, Tsai-Ching Lu, David J. Huber:
Detecting and analyzing relationships among anomalies. IEEE VAST 2009: 255-256 - [c9]Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim:
Most Relevant Explanation: Properties, Algorithms, and Evaluations. UAI 2009: 631-638 - 2008
- [c8]Changhe Yuan, Tsai-Ching Lu:
A General Framework for Generating Multivariate Explanations in Bayesian Networks. AAAI 2008: 1119-1124 - 2007
- [c7]Tsai-Ching Lu, K. Wojtek Przytula:
System Diagnosability Analysis Using p-slop MAP. FLAIRS 2007: 116-121 - 2006
- [c6]Tsai-Ching Lu, K. Wojtek Przytula:
Focusing Strategies for Multiple Fault Diagnosis. FLAIRS 2006: 842-847 - 2005
- [c5]Tsai-Ching Lu, Marek J. Druzdzel:
Mechanism-based Causal Models for Adaptive Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005: 73-79 - 2004
- [c4]Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel:
Annealed MAP. UAI 2004: 628-635 - 2002
- [c3]Tsai-Ching Lu, Marek J. Druzdzel:
Causal Models, Value of Intervention, and Search for Opportunities. Probabilistic Graphical Models 2002 - 2001
- [c2]Tsai-Ching Lu, Marek J. Druzdzel:
Supporting Changes in Structure in Causal Model Construction. ECSQARU 2001: 204-215 - 2000
- [c1]Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong:
Causal Mechanism-based Model Constructions. UAI 2000: 353-362
Coauthor Index
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