Node Aggregation for Distributed Inference in Bayesian Networks. - Kuo-Chu Chang; Robert M. Fung (IJCAI, 1989)

Performance evaluation of a cascaded logic for track formation in clutter. - Yaakov Bar-Shalom; Kuo-Chu Chang; Hemchandra M. Shertukde (SMC, 1989)

Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks. - Robert M. Fung; Kuo-Chu Chang (UAI, 1989)

Distributed adaptive estimation with probabilistic data association. - Kuo-Chu Chang; Yaakov Bar-Shalom (Autom., 1989)

Refinement and coarsening of Bayesian networks. - Kuo-Chu Chang; Robert M. Fung (UAI, 1990)

Symbolic Probabilistic Inference with Continuous Variables. - Kuo-Chu Chang; Robert M. Fung (UAI, 1991)

Symbolic Probabilistic Inference with Evidence Potential. - Kuo-Chu Chang; Robert M. Fung (UAI, 1991)

Prediction of track purity and track accuracy in dense target environments. - Shozo Mori; Kuo-Chu Chang; Chee-Yee Chong; Keh-Ping Dunn (IEEE Trans. Autom. Control., 1995)

Symbolic probabilistic inference with both discrete and continuous variables. - Kuo-Chu Chang; Robert M. Fung (IEEE Trans. Syst. Man Cybern., 1995)

Polarimetric fusion for synthetic aperture radar target classification. - Andrew Hauter; Kuo-Chu Chang; Sherman Karp (Pattern Recognit., 1997)

A Hybrid Convergent Method for Learning Probabilistic Networks. - Jun Liu; Kuo-Chu Chang; Jing Zhou (Canadian AI, 1998)

Learning Bayesian networks with a hybrid convergent method. - Jun Liu; Kuo-Chu Chang; Jing Zhou (IEEE Trans. Syst. Man Cybern. Part A, 1999)

Evaluating a linear predictive algorithm for bandwidth conservation. - Kuo-Chu Chang; Xiaoyan Yin; Rajat K. Saha (IEEE Trans. Aerosp. Electron. Syst., 2000)

Comparison of score metrics for Bayesian network learning. - Shulin Yang; Kuo-Chu Chang (IEEE Trans. Syst. Man Cybern. Part A, 2002)

A Data Fusion Formulation for Decentralized Estimation Predictions under Communications Uncertainty. - Todd W. Martin; Kuo-Chu Chang (FUSION, 2006)

Level I and Level II Target Valuations for Sensor Management. - Kuo-Chu Chang; Joe P. Hill (J. Adv. Inf. Fusion, 2006)

Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks. - Wei Sun 009; Kuo-Chu Chang (AAAI, 2007)

Hybrid message passing for mixed bayesian networks. - Wei Sun 009; Kuo-Chu Chang (FUSION, 2007)

On scalable distributed sensor fusion. - Kuo-Chu Chang; Chee-Yee Chong; Shozo Mori (FUSION, 2008)

A performance evaluation tool for multi-sensor classification systems. - Rommel N. Carvalho; Kuo-Chu Chang (FUSION, 2009)

Tracking with UAV using tangent-plus-Lyapunov vector field guidance. - Hongda Chen; Kuo-Chu Chang; Craig S. Agate (FUSION, 2009)

Bias correction using background stars for space-based IR tracking. - Thomas M. Clemons; Kuo-Chu Chang (FUSION, 2009)

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 (FUSION, 2009)

Track association and fusion using Janossy measure density functions. - Shozo Mori; Chee-Yee Chong; Kuo-Chu Chang (FUSION, 2009)

Convergence rate analysis of allied genetic algorithm. - Feng Lin; Chunyan Zhou; KC Chang (CDC, 2010)

Scalable inference for hybrid Bayesian networks with full density estimations. - Wei Sun 009; Kuo-Chu Chang; Kathryn B. Laskey (FUSION, 2010)

PROGNOS: Predictive situational awareness with probabilistic ontologies. - Rommel N. Carvalho; Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang (FUSION, 2010)

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 009 (FUSION, 2010)

Scalable fusion with mixture distributions in sensor networks. - Kuo-Chu Chang; Wei Sun 009 (ICARCV, 2010)

Modeling a probabilistic ontology for Maritime Domain Awareness. - Rommel N. Carvalho; Richard Haberlin; Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang (FUSION, 2011)

Comparison of track fusion rules and track association metrics. - Shozo Mori; Kuo-Chu Chang; Chee-Yee Chong (FUSION, 2012)

High-Level Information Fusion with Bayesian Semantics. - Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang; Wei Sun 009; Cheol Young Park; Shou Matsumoto (BMA, 2012)

A Fusion Analysis and Evaluation Tool for Multi-Sensor Classification Systems. - Rommel N. Carvalho; Kuo-Chu Chang (J. Adv. Inf. Fusion, 2012)

Sensor Calibration using In-Situ Celestial Observations to Estimate Bias in Space-Based Missile Tracking. - Thomas M. Clemons; Kuo-Chu Chang (IEEE Trans. Aerosp. Electron. Syst., 2012)

A causal reasoning approach to DSA situational awareness and decision-making. - Todd W. Martin; Kuo-Chu Chang (FUSION, 2013)

An initial study of DSA cost and capacity trades under imperfect awareness. - Todd W. Martin; Kuo-Chu Chang (ICNC, 2013)

UAV Path Planning with Tangent-plus-Lyapunov Vector Field Guidance and Obstacle Avoidance. - Hongda Chen; Kuo-Chu Chang; Craig S. Agate (IEEE Trans. Aerosp. Electron. Syst., 2013)

Situational awareness uncertainty impacts on Dynamic Spectrum Access performance. - Todd W. Martin; Kuo-Chu Chang (FUSION, 2014)

Performance prediction of feature-aided track-to-track association. - Shozo Mori; Kuo-Chu Chang; Chee-Yee Chong (IEEE Trans. Aerosp. Electron. Syst., 2014)

Market analysis and trading strategies with Bayesian networks. - KC Chang; Zhi Tian (FUSION, 2015)

An application of data fusion techniques in quantitative operational risk management. - Sabyasachi Guharay; KC Chang (FUSION, 2015)

The exact algorithm for multi-sensor asynchronous track-to-track fusion. - Kelin Lu; KC Chang; Rui Zhou (FUSION, 2015)

Development and analysis of a probabilistic reasoning methodology for spectrum situational awareness and parameter estimation in uncertain environments. - Todd W. Martin; Kuo-Chu Chang (FUSION, 2015)

An application of interacting multiple model tracking method to financial modeling and asset allocation. - Shozo Mori; Kuo-Chu Chang; Hajime Takahashi; Chee-Yee Chong (FUSION, 2015)

Application of bayesian simulation framework in quantitatively measuring presence of competition in living species. - Sabyasachi Guharay; KC Chang (WSC, 2015)

Optimal asset allocation with mutual information. - KC Chang; Zhi Tian (FUSION, 2016)

Comparison of optimal distributed estimation and consensus filtering. - Chee-Yee Chong; Kuo-Chu Chang; Shozo Mori (FUSION, 2016)

Robust estimation of value-at-risk through correlated frequency and severity model. - Sabyasachi Guharay; KC Chang; Jie Xu 004 (FUSION, 2016)

Assessing user decision behaviors for Dynamic Spectrum Sharing and pricing models. - Todd W. Martin; Kuo-Chu Chang (FUSION, 2016)

Three formalisms of multiple hypothesis tracking. - Shozo Mori; Chee-Yee Chong; Kuo-Chu Chang (FUSION, 2016)

Probabilistic reasoning and risk-constrained dynamic spectrum access. - Todd W. Martin; Kuo-Chu Chang (DySPAN, 2017)

Dynamic asset allocation - Chasing a moving target. - KC Chang; Zhi Tian; Jiayang Yu (FUSION, 2017)

Flexible estimation of risk metric using copula model for the joint severity-frequency loss framework. - Sabyasachi Guharay; KC Chang; Jie Xu 004 (FUSION, 2017)

Risk-based pricing for secondary spectrum access. - Todd W. Martin; Kuo-Chu Chang (FUSION, 2017)

A Review of Forty Years of Distributed Estimation. - Chee-Yee Chong; Kuo-Chu Chang; Shozo Mori (FUSION, 2018)

Estimation of Value-at-Risk Using Mixture Copula Model for Heavy-Tailed Operational Risk Losses in Financial, Insurance & Climatological Data. - Sabyasachi Guharay; KC Chang; Jie Xu 004 (FUSION, 2018)

Pattern Discovery and Anomaly Detection via Knowledge Graph. - Bin Jia; Cailing Dong 004; Zhijiang Chen; Kuo-Chu Chang; Nichole Sullivan; Genshe Chen (FUSION, 2018)

Flexible Expected Shortfall Estimation Using Parametric & Non-Parametric Methods with Applications in Finance, Insurance & Climatology. - Sabyasachi Guharay; KC Chang; Jie Xu 004 (FUSION, 2019)

Risk-Aversion Adjusted Portfolio Optimization with Predictive Modeling. - Ran Ji; KC Chang; Zhenlong Jiang (FUSION, 2019)

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 (FUSION, 2019)

Distributed Multiple Hypothesis Tracking in Finite Point Process Formalism: A Simple Two Station Case. - Shozo Mori; Chee-Yee Chong; KC Chang (FUSION, 2019)

Information Matrix Fusion for Nonlinear, Asynchronous and Heterogeneous Systems. - Kaipei Yang; Yaakov Bar-Shalom; Kuo-Chu Chang (FUSION, 2019)

Fusing Economic Indicators for Portfolio Optimization - A Simulation-Based Approach. - Jiayang Yu; Tuan Le; KC Chang; Sabyasachi Guharay (FUSION, 2019)

Heterogeneous Track-to-Track Fusion in 3-D Using IRST Sensor and Air MTI Radar. - Mahendra Mallick; Kuo-Chu Chang; Sanjeev Arulampalam; Yanjun Yan (IEEE Trans. Aerosp. Electron. Syst., 2019)

Bridging Heuristic and Deep Learning Approaches to Sensor Tasking. - Ashton E. Harvey; Kathryn B. Laskey; Kuo-Chu Chang (FUSION, 2021)

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 (FUSION, 2023)

Towards Personalized Anti-Phishing: Counterfactual Explanation Approach - Extended Abstract. - Zhengyang Fan; Wanru Li; Kathryn Blackmond Laskey; Kuo-Chu Chang (DSAA, 2024)

Regression Model Bias Evaluation by Estimating Conditional Densities with Gaussian Mixtures. - Wei Sun 009; Xuning Tang; Kuo-Chu Chang (FUSION, 2024)

Joint Detection and Classification of Communication and Radar Signals in Congested RF Environments Using YOLOv8. - Xiwen Kang; Huamei Chen; Genshe Chen; Kuo-Chu Chang; Thomas M. Clemons (MILCOM, 2024)

Multi-Sensor Track-to-Track Fusion Using Dynamic Consensus. - Shuqi Zhang; Ting Yuan; Wenqi Cao; Kuo-Chu Chang; Krishanth Krishnan (SDF, 2024)

Novel integer L-shaped method for parallel machine scheduling problem under uncertain sequence-dependent setups. - Zhengyang Fan; Ran Ji; Shi-Chung Chang; Kuo-Chu Chang (Comput. Ind. Eng., 2024)

Investigation of Phishing Susceptibility with Explainable Artificial Intelligence. - Zhengyang Fan; Wanru Li; Kathryn Blackmond Laskey; Kuo-Chu Chang (Future Internet, 2024)

A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction. - Zhengyang Fan; Wanru Li; Kuo-Chu Chang (Sensors, 2024)