Kuo-Chu Chang

发表

Distributed Tracking in Distributed Sensor Networks

S. Mori, C. Chong, Kuo-Chu Chang, 1986, 1986 American Control Conference.

Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks

Kuo-Chu Chang, Robert M. Fung, Kuo-Chu Chang, 2013, UAI.

Tracking a maneuvering target using input estimation versus the interacting multiple model algorithm

Y. Bar-Shalom, H. Blom, Kuo-Chu Chang, 1989 .

Symbolic Probabilistic Inference with Continuous Variables

Kuo-Chu Chang, Robert M. Fung, Kuo-Chu Chang, 1994, UAI.

2 Probabilistic Inference for Hybrid Bayesian Networks

Kuo-Chu Chang, Wei Sun, 2011 .

Feature-based target recognition with a Bayesian network

Jun Liu, Kuo‐Chu Chang, Kuo-Chu Chang, 1996 .

Probabilistic reasoning and risk-constrained dynamic spectrum access

Kuo-Chu Chang, Todd Martin, Kuo-Chu Chang, 2017, 2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

Proceedings of the third international conference on information fusion

Pramod K. Varshney, Kuo-Chu Chang, David Schum, 2000, Proceedings of the Third International Conference on Information Fusion.

Prediction of kk Parity and Tkack Accuracy in Dense met Environments

Kuo-Chu Chang, Chee-Yee Chong, Shom Mori, 1995 .

Performance evaluation of multi-sensor classification systems

Kuo-Chu Chang, E. Sivaraman, Kuo-Chu Chang, 2007, IEEE Transactions on Aerospace and Electronic Systems.

DISTRIBUTED ESTIMATION IN DISTRIBUTED SENSOR NETWORKS (MULTI-TARGET TRACKING, INFORMATION FUSION)

Kuo-Chu Chang, Kuo-Chu Chang, 1986 .

An application of interacting multiple model tracking method to financial modeling and asset allocation

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Essence of Distributed Target Tracking: Track Fusion and Track Association

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2012 .

Centralized and Distributed Algorithms for Multitarget–Multisensor Tracking Systems

Peter B. Luh, Yaakov Bar-Shalom, Kuo-Chu Chang, 1989 .

Comparison of track fusion rules and track association metrics

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2012, 2012 15th International Conference on Information Fusion.

Scalable fusion with mixture distributions in sensor networks

Kuo-Chu Chang, Wei Sun, Kuo-Chu Chang, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Track association and fusion using Janossy measure density functions

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2009, 2009 12th International Conference on Information Fusion.

Architectures and algorithms for track association and fusion

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2000 .

Prediction of track purity and track accuracy in dense target environments

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1995, IEEE Trans. Autom. Control..

FUSEDAT: a software package for fusion and data association and tracking with multiple sensors

Yaakov Bar-Shalom, Kuo-Chu Chang, Y. Bar-Shalom, 1994, Defense, Security, and Sensing.

Performance evaluation of a cascaded logic for track formation in clutter

Yaakov Bar-Shalom, Hemchandra M. Shertukde, Kuo-Chu Chang, 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.

Performance evaluation of track fusion with information matrix filter

Zhi Tian, Kuo-Chu Chang, R. K. Saha, 2002 .

UAV Path Planning with Tangent-plus-Lyapunov Vector Field Guidance and Obstacle Avoidance

Kuo-Chu Chang, Hongda Chen, Craig S. Agate, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Learning Bayesian networks with a hybrid convergent method

Jing Zhou, Kuo-Chu Chang, Jun Liu, 1999, IEEE Trans. Syst. Man Cybern. Part A.

Efficient algorithms for learning probabilistic networks

Jun Liu, Kuo-Chu Chang, Kuo-Chu Chang, 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).

Comparison of optimal distributed estimation and consensus filtering

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Centralized fusion of remote tracks

Kuo-Chu Chang, Rajat K. Saha, Kuo-Chu Chang, 1998 .

Heterogeneous Track-to-Track Fusion in 2D Using Sonar and Radar Sensors

Barbara F. La Scala, Mahendra Mallick, Yanjun Yan, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Information Matrix Fusion for Nonlinear, Asynchronous and Heterogeneous Systems

Yaakov Bar-Shalom, Kaipei Yang, Kuo-Chu Chang, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Weighted Kullback-Leibler average-based distributed filtering algorithm

Kuo-Chu Chang, Rui Zhou, Kelin Lu, 2015, Defense + Security Symposium.

Sensor Calibration using In-Situ Celestial Observations to Estimate Bias in Space-Based Missile Tracking

Kuo-Chu Chang, Thomas M. Clemons, Kuo-Chu Chang, 2012, IEEE Transactions on Aerospace and Electronic Systems.

Information Fusion and Performance Modeling with Distributed Sensor Networks

Kuochu Chang, Kuo-Chu Chang, 2010 .

On scalable distributed sensor fusion

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2008, 2008 11th International Conference on Information Fusion.

Hybrid message passing for mixed bayesian networks

Kuo-Chu Chang, Wei Sun, Kuo-Chu Chang, 2007, 2007 10th International Conference on Information Fusion.

A Data Fusion Formulation for Decentralized Estimation Predictions under Communications Uncertainty

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2006, 2006 9th International Conference on Information Fusion.

Comparison of nonlinear estimation for ballistic missile tracking

Kuo-Chu Chang, Brian G. Saulson, Kuo-Chu Chang, 2003, SPIE Defense + Commercial Sensing.

A causal reasoning approach to DSA situational awareness and decision-making

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2013, Proceedings of the 16th International Conference on Information Fusion.

An initial study of DSA cost and capacity trades under imperfect awareness

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2013, 2013 International Conference on Computing, Networking and Communications (ICNC).

A Review of Forty Years of Distributed Estimation

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Tracking Aircraft by Acoustic Sensors; Multiple Hypothesis Approach Applied to Possibly Unresolved Measurements

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1987, 1987 American Control Conference.

Joint probabilistic data association for multitarget tracking with possibly unresolved measurements and maneuvers

Kuo-Chu Chang, Y. Bar-Shalom, Y. Bar-Shalom, 1984 .

Joint Probabilistic Data Association in Distributed Sensor Networks

Chee-Yee Chong, Y. Bar-Shalom, Kuo-Chu Chang, 1985, 1985 American Control Conference.

Comparison of score metrics for Bayesian network learning

K.-C. Chang, Kuo-Chu Chang, S. Yang, 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).

Polarimetric fusion for synthetic aperture radar target classification

Kuo-Chu Chang, Sherman Karp, Andrew Hauter, 1997, Pattern Recognit..

Scalable inference for hybrid Bayesian networks with full density estimations

Kuo-Chu Chang, Kathryn B. Laskey, Wei Sun, 2010, 2010 13th International Conference on Information Fusion.

Assessing user decision behaviors for Dynamic Spectrum Sharing and pricing models

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Modeling a probabilistic ontology for Maritime Domain Awareness

Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, 2011, 14th International Conference on Information Fusion.

A probabilistic situational awareness and reasoning methodology for satellite communications resource management

Genshe Chen, Erik Blasch, Kuo-Chu Chang, 2015, 2015 IEEE Aerospace Conference.

Level I and Level II Target Valuations for Sensor Management

Kuo-Chu Chang, Joe P. Hill, Kuo-Chu Chang, 2006, J. Adv. Inf. Fusion.

Neural Network Predictive Modeling on Dynamic Portfolio Management—A Simulation-Based Portfolio Optimization Approach

Jiayang Yu, Kuo-Chu Chang, Kuo-Chu Chang, 2020, Journal of Risk and Financial Management.

Efficient inference for mixed Bayesian networks

Zhi Tian, Kuo-Chu Chang, Kuo-Chu Chang, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

A multi-disciplinary approach to high level fusion in predictive situational awareness

Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, 2009, 2009 12th International Conference on Information Fusion.

Track association and track fusion with nondeterministic target dynamics

Chee-Yee Chong, Shozo Mori, William H. Barker, 2002 .

A performance evaluation tool for multi-sensor classification systems

Kuo-Chu Chang, Rommel N. Carvalho, Kuo-Chu Chang, 2009, 2009 12th International Conference on Information Fusion.

On optimal track-to-track fusion

Y. Bar-Shalom, K.C. Chang, R.K. Saha, 1997, IEEE Transactions on Aerospace and Electronic Systems.

Fundamentals of Distributed Estimation

Chee-Yee Chong, Shozo Mori, Kuo-Chu Chang, 2017 .

Fundamentals of distributed estimation and tracking

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2012, Defense + Commercial Sensing.

Fundamentals of Distributed Estimation

Chee-Yee Chong, Shozo Mori, S. Mori, 2017 .

Stochastic approximation approach to predictive encoding for bandwidth saving in situation awareness

Kuo-Chu Chang, Rajat K. Saha, K. Lee, 1998, Defense, Security, and Sensing.

A Machine Learning Integrated Portfolio Rebalance Framework with Risk-Aversion Adjustment

Ran Ji, Zhenlong Jiang, Kuo-Chu Chang, 2020, Journal of Risk and Financial Management.

Symbolic probabilistic inference with both discrete and continuous variables

Kuo-Chu Chang, Robert M. Fung, Kuo-Chu Chang, 1995, IEEE Trans. Syst. Man Cybern..

Bridging Heuristic and Deep Learning Approaches to Sensor Tasking

Kathryn Laskey, Kuo-Chu Chang, Kathryn B. Laskey, 2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION).

Efficient inference for hybrid dynamic Bayesian networks

Hongda Chen, Kuo-Chu Chang, Kuo-Chu Chang, 2005 .

Performance modeling for dynamic Bayesian networks

KuoChu Chang, Wei Sun, Kuo-Chu Chang, 2004, SPIE Defense + Commercial Sensing.

Tracking Performance Evaluation

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1988 .

Distributed Multiple Model Estimation

Yaakov Bar-Shalom, Kuo-Chu Chang, Y. Bar-Shalom, 1987, 1987 American Control Conference.

Information Fusion in Distributed Sensor Networks

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1985, 1985 American Control Conference.

Risk-based pricing for secondary spectrum access

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Analysis of a probability-based SATCOM situational awareness model for parameter estimation

Genshe Chen, Kuo-Chu Chang, Xin Tian, 2016, SPIE Defense + Security.

Development and analysis of a probabilistic reasoning methodology for spectrum situational awareness and parameter estimation in uncertain environments

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Situational awareness uncertainty impacts on Dynamic Spectrum Access performance

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2014, 17th International Conference on Information Fusion (FUSION).

A Quantitative Analysis on the Impact of Spectrum Access Policy Flexibility and DSA System Capability on Spectrum Sharing Potential

Kuo-Chu Chang, Todd Martin, Todd W. Martin, 2013 .

Explainable AI and Counterfactuals for Test and Evaluation of Intelligent Engineered Systems

Kuo-Chu Chang, Erik Blasch, Ali K. Raz, 2023, INCOSE International Symposium.