Kuo-Chu Chang

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 15

Top Topics

Situational Awareness

Scheduling Problem

Multiple Hypothesis Tracking

Probabilistic Reasoning

Top Venues

IEEE Trans. Aerosp. Electron. Syst.

Publications

Zhengyang Fan, Wanru Li, Kathryn Blackmond Laskey, Kuo-Chu Chang
Investigation of Phishing Susceptibility with Explainable Artificial Intelligence. Future Internet 16 (1) (2024)
Zhengyang Fan, Ran Ji, Shi-Chung Chang, Kuo-Chu Chang
Novel integer L-shaped method for parallel machine scheduling problem under uncertain sequence-dependent setups. Comput. Ind. Eng. 193 (2024)
Zhengyang Fan, Wanru Li, Kuo-Chu Chang
A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction. Sensors 24 (3) (2024)
Huong N. Dang, Kuo-Chu Chang, Genshe Chen, Hua-mei Chen, Simon Khan, Milvio Franco, Erik Blasch
Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition. FUSION (2023)
Ashton E. Harvey, Kathryn B. Laskey, Kuo-Chu Chang
Bridging Heuristic and Deep Learning Approaches to Sensor Tasking. FUSION (2021)
Mahendra Mallick, Kuo-Chu Chang, Sanjeev Arulampalam, Yanjun Yan, Barbara F. La Scala
Heterogeneous Track-to-Track Fusion in 2D Using Sonar and Radar Sensors. FUSION (2019)
Mahendra Mallick, Kuo-Chu Chang, Sanjeev Arulampalam, Yanjun Yan
Heterogeneous Track-to-Track Fusion in 3-D Using IRST Sensor and Air MTI Radar. IEEE Trans. Aerosp. Electron. Syst. 55 (6) (2019)
Kaipei Yang, Yaakov Bar-Shalom, Kuo-Chu Chang
Information Matrix Fusion for Nonlinear, Asynchronous and Heterogeneous Systems. FUSION (2019)
Chee-Yee Chong, Kuo-Chu Chang, Shozo Mori
A Review of Forty Years of Distributed Estimation. FUSION (2018)
Bin Jia, Cailing Dong, Zhijiang Chen, Kuo-Chu Chang, Nichole Sullivan, Genshe Chen
Pattern Discovery and Anomaly Detection via Knowledge Graph. FUSION (2018)
Todd W. Martin, Kuo-Chu Chang
Probabilistic reasoning and risk-constrained dynamic spectrum access. DySPAN (2017)
Todd W. Martin, Kuo-Chu Chang
Risk-based pricing for secondary spectrum access. FUSION (2017)
Todd W. Martin, Kuo-Chu Chang
Assessing user decision behaviors for Dynamic Spectrum Sharing and pricing models. FUSION (2016)
Chee-Yee Chong, Kuo-Chu Chang, Shozo Mori
Comparison of optimal distributed estimation and consensus filtering. FUSION (2016)
Shozo Mori, Chee-Yee Chong, Kuo-Chu Chang
Three formalisms of multiple hypothesis tracking. FUSION (2016)
Shozo Mori, Kuo-Chu Chang, Hajime Takahashi, Chee-Yee Chong
An application of interacting multiple model tracking method to financial modeling and asset allocation. FUSION (2015)
Todd W. Martin, Kuo-Chu Chang
Development and analysis of a probabilistic reasoning methodology for spectrum situational awareness and parameter estimation in uncertain environments. FUSION (2015)
Todd W. Martin, Kuo-Chu Chang
Situational awareness uncertainty impacts on Dynamic Spectrum Access performance. FUSION (2014)
Shozo Mori, Kuo-Chu Chang, Chee-Yee Chong
Performance prediction of feature-aided track-to-track association. IEEE Trans. Aerosp. Electron. Syst. 50 (4) (2014)
Kuo-Chu Chang, Robert M. Fung
Refinement and Coarsening of Bayesian Networks CoRR (2013)
Todd W. Martin, Kuo-Chu Chang
A causal reasoning approach to DSA situational awareness and decision-making. FUSION (2013)
Kuo-Chu Chang, Robert M. Fung
Symbolic Probabilistic Inference with Evidence Potential CoRR (2013)
Todd W. Martin, Kuo-Chu Chang
An initial study of DSA cost and capacity trades under imperfect awareness. ICNC (2013)
Kuo-Chu Chang, Robert M. Fung
Symbolic Probabilistic Inference with Continuous Variables CoRR (2013)
Robert M. Fung, Kuo-Chu Chang
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks CoRR (2013)
Hongda Chen, Kuo-Chu Chang, Craig S. Agate
UAV Path Planning with Tangent-plus-Lyapunov Vector Field Guidance and Obstacle Avoidance. IEEE Trans. Aerosp. Electron. Syst. 49 (2) (2013)
Thomas M. Clemons, Kuo-Chu Chang
Sensor Calibration using In-Situ Celestial Observations to Estimate Bias in Space-Based Missile Tracking. IEEE Trans. Aerosp. Electron. Syst. 48 (2) (2012)
Shozo Mori, Kuo-Chu Chang, Chee-Yee Chong
Comparison of track fusion rules and track association metrics. FUSION (2012)
Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang, Wei Sun, Cheol Young Park, Shou Matsumoto
High-Level Information Fusion with Bayesian Semantics. BMA (2012)
Rommel N. Carvalho, Kuo-Chu Chang
A Fusion Analysis and Evaluation Tool for Multi-Sensor Classification Systems. J. Adv. Inf. Fusion 7 (2) (2012)
Rommel N. Carvalho, Richard Haberlin, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang
Modeling a probabilistic ontology for Maritime Domain Awareness. FUSION (2011)
Shozo Mori, Chee-Yee Chong, Kuo-Chu Chang
Performance prediction of feature aided track-to-track association. FUSION (2011)
Kuo-Chu Chang, Wei Sun
Scalable fusion with mixture distributions in sensor networks. ICARCV (2010)
Wei Sun, Kuo-Chu Chang, Kathryn B. Laskey
Scalable inference for hybrid Bayesian networks with full density estimations. FUSION (2010)
Rommel N. Carvalho, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang
PROGNOS: Predictive situational awareness with probabilistic ontologies. FUSION (2010)
Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Tod S. Levitt, Wei Sun
High-level fusion: Issues in developing a formal theory. FUSION (2010)
Hongda Chen, Kuo-Chu Chang, Craig S. Agate
Tracking with UAV using tangent-plus-Lyapunov vector field guidance. FUSION (2009)
Shozo Mori, Chee-Yee Chong, Kuo-Chu Chang
Track association and fusion using Janossy measure density functions. FUSION (2009)
Rommel N. Carvalho, Kuo-Chu Chang
A performance evaluation tool for multi-sensor classification systems. FUSION (2009)
Thomas M. Clemons, Kuo-Chu Chang
Bias correction using background stars for space-based IR tracking. FUSION (2009)
Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Rommel N. Carvalho
A multi-disciplinary approach to high level fusion in predictive situational awareness. FUSION (2009)
Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori
On scalable distributed sensor fusion. FUSION (2008)
Wei Sun, Kuo-Chu Chang
Hybrid message passing for mixed bayesian networks. FUSION (2007)
Wei Sun, Kuo-Chu Chang
Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks. AAAI (2007)
Kuo-Chu Chang, Joe P. Hill
Level I and Level II Target Valuations for Sensor Management. J. Adv. Inf. Fusion 1 (2) (2006)
Todd W. Martin, Kuo-Chu Chang
A Data Fusion Formulation for Decentralized Estimation Predictions under Communications Uncertainty. FUSION (2006)
Shulin Yang, Kuo-Chu Chang
Comparison of score metrics for Bayesian network learning. IEEE Trans. Syst. Man Cybern. Part A 32 (3) (2002)
Kuo-Chu Chang, Xiaoyan Yin, Rajat K. Saha
Evaluating a linear predictive algorithm for bandwidth conservation. IEEE Trans. Aerosp. Electron. Syst. 36 (4) (2000)
Jun Liu, Kuo-Chu Chang, Jing Zhou
Learning Bayesian networks with a hybrid convergent method. IEEE Trans. Syst. Man Cybern. Part A 29 (5) (1999)
Jun Liu, Kuo-Chu Chang, Jing Zhou
A Hybrid Convergent Method for Learning Probabilistic Networks. Canadian Conference on AI (1998)
Andrew Hauter, Kuo-Chu Chang, Sherman Karp
Polarimetric fusion for synthetic aperture radar target classification. Pattern Recognit. 30 (5) (1997)
Kuo-Chu Chang, Robert M. Fung
Symbolic probabilistic inference with both discrete and continuous variables. IEEE Trans. Syst. Man Cybern. 25 (6) (1995)
Shozo Mori, Kuo-Chu Chang, Chee-Yee Chong, Keh-Ping Dunn
Prediction of track purity and track accuracy in dense target environments. IEEE Trans. Autom. Control. 40 (5) (1995)
Kuo-Chu Chang, Robert M. Fung
Symbolic Probabilistic Inference with Continuous Variables. UAI (1991)
Kuo-Chu Chang, Robert M. Fung
Symbolic Probabilistic Inference with Evidence Potential. UAI (1991)
Kuo-Chu Chang, Robert M. Fung
Refinement and coarsening of Bayesian networks. UAI (1990)
Kuo-Chu Chang, Yaakov Bar-Shalom
Distributed adaptive estimation with probabilistic data association. Autom. 25 (3) (1989)
Yaakov Bar-Shalom, Kuo-Chu Chang, Hemchandra M. Shertukde
Performance evaluation of a cascaded logic for track formation in clutter. SMC (1989)
Kuo-Chu Chang, Robert M. Fung
Node Aggregation for Distributed Inference in Bayesian Networks. IJCAI (1989)
Robert M. Fung, Kuo-Chu Chang
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks. UAI (1989)