| 2024 | DSAA | Towards Personalized Anti-Phishing: Counterfactual Explanation Approach - Extended Abstract. | Zhengyang Fan, Wanru Li, Kathryn Blackmond Laskey, Kuo-Chu Chang |
| 2024 | FUSION | Regression Model Bias Evaluation by Estimating Conditional Densities with Gaussian Mixtures. | Wei Sun, Xuning Tang, Kuo-Chu Chang |
| 2023 | FUSION | Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition. | Huong N. Dang, Kuo-Chu Chang, Genshe Chen, Hua-mei Chen, Simon Khan, Milvio Franco, Erik Blasch |
| 2021 | FUSION | Bridging Heuristic and Deep Learning Approaches to Sensor Tasking. | Ashton E. Harvey, Kathryn B. Laskey, Kuo-Chu Chang |
| 2019 | FUSION | Heterogeneous Track-to-Track Fusion in 2D Using Sonar and Radar Sensors. | Mahendra Mallick, Kuo-Chu Chang, Sanjeev Arulampalam, Yanjun Yan, Barbara F. La Scala |
| 2019 | FUSION | Information Matrix Fusion for Nonlinear, Asynchronous and Heterogeneous Systems. | Kaipei Yang, Yaakov Bar-Shalom, Kuo-Chu Chang |
| 2018 | FUSION | A Review of Forty Years of Distributed Estimation. | Chee-Yee Chong, Kuo-Chu Chang, Shozo Mori |
| 2018 | FUSION | Pattern Discovery and Anomaly Detection via Knowledge Graph. | Bin Jia, Cailing Dong, Zhijiang Chen, Kuo-Chu Chang, Nichole Sullivan, Genshe Chen |
| 2017 | FUSION | Risk-based pricing for secondary spectrum access. | Todd W. Martin, Kuo-Chu Chang |
| 2016 | FUSION | Comparison of optimal distributed estimation and consensus filtering. | Chee-Yee Chong, Kuo-Chu Chang, Shozo Mori |
| 2016 | FUSION | Assessing user decision behaviors for Dynamic Spectrum Sharing and pricing models. | Todd W. Martin, Kuo-Chu Chang |
| 2016 | FUSION | Three formalisms of multiple hypothesis tracking. | Shozo Mori, Chee-Yee Chong, Kuo-Chu Chang |
| 2015 | FUSION | Development and analysis of a probabilistic reasoning methodology for spectrum situational awareness and parameter estimation in uncertain environments. | Todd W. Martin, Kuo-Chu Chang |
| 2015 | FUSION | An application of interacting multiple model tracking method to financial modeling and asset allocation. | Shozo Mori, Kuo-Chu Chang, Hajime Takahashi, Chee-Yee Chong |
| 2014 | FUSION | Situational awareness uncertainty impacts on Dynamic Spectrum Access performance. | Todd W. Martin, Kuo-Chu Chang |
| 2013 | FUSION | A causal reasoning approach to DSA situational awareness and decision-making. | Todd W. Martin, Kuo-Chu Chang |
| 2012 | FUSION | Comparison of track fusion rules and track association metrics. | Shozo Mori, Kuo-Chu Chang, Chee-Yee Chong |
| 2012 | UAI | High-Level Information Fusion with Bayesian Semantics. | Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang, Wei Sun, Cheol Young Park, Shou Matsumoto |
| 2011 | FUSION | Modeling a probabilistic ontology for Maritime Domain Awareness. | Rommel N. Carvalho, Richard Haberlin, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang |
| 2011 | FUSION | Performance prediction of feature aided track-to-track association. | Shozo Mori, Chee-Yee Chong, Kuo-Chu Chang |
| 2010 | FUSION | Scalable inference for hybrid Bayesian networks with full density estimations. | Wei Sun, Kuo-Chu Chang, Kathryn B. Laskey |
| 2010 | FUSION | PROGNOS: Predictive situational awareness with probabilistic ontologies. | Rommel N. Carvalho, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang |
| 2010 | FUSION | High-level fusion: Issues in developing a formal theory. | Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Tod S. Levitt, Wei Sun |
| 2010 | ICARCV | Scalable fusion with mixture distributions in sensor networks. | Kuo-Chu Chang, Wei Sun |
| 2009 | FUSION | A performance evaluation tool for multi-sensor classification systems. | Rommel N. Carvalho, Kuo-Chu Chang |
| 2009 | FUSION | Tracking with UAV using tangent-plus-Lyapunov vector field guidance. | Hongda Chen, Kuo-Chu Chang, Craig S. Agate |
| 2009 | FUSION | Bias correction using background stars for space-based IR tracking. | Thomas M. Clemons, Kuo-Chu Chang |
| 2009 | FUSION | A multi-disciplinary approach to high level fusion in predictive situational awareness. | Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Rommel N. Carvalho |
| 2009 | FUSION | Track association and fusion using Janossy measure density functions. | Shozo Mori, Chee-Yee Chong, Kuo-Chu Chang |
| 2008 | FUSION | On scalable distributed sensor fusion. | Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori |
| 2007 | AAAI | Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks. | Wei Sun, Kuo-Chu Chang |
| 2007 | FUSION | Hybrid message passing for mixed bayesian networks. | Wei Sun, Kuo-Chu Chang |
| 2006 | FUSION | A Data Fusion Formulation for Decentralized Estimation Predictions under Communications Uncertainty. | Todd W. Martin, Kuo-Chu Chang |
| 1998 | AI | A Hybrid Convergent Method for Learning Probabilistic Networks. | Jun Liu, Kuo-Chu Chang, Jing Zhou |
| 1991 | UAI | Symbolic Probabilistic Inference with Continuous Variables. | Kuo-Chu Chang, Robert M. Fung |
| 1991 | UAI | Symbolic Probabilistic Inference with Evidence Potential. | Kuo-Chu Chang, Robert M. Fung |
| 1990 | UAI | Refinement and coarsening of Bayesian networks. | Kuo-Chu Chang, Robert M. Fung |
| 1989 | IJCAI | Node Aggregation for Distributed Inference in Bayesian Networks. | Kuo-Chu Chang, Robert M. Fung |
| 1989 | SMC | Performance evaluation of a cascaded logic for track formation in clutter. | Yaakov Bar-Shalom, Kuo-Chu Chang, Hemchandra M. Shertukde |
| 1989 | UAI | Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks. | Robert M. Fung, Kuo-Chu Chang |