Journal Articles

1. Chao-Yang Chen, Yao Hu,  Xiangyi Meng, Jin-Zhu Yu (2023). Cascading failures in power grids: A load capacity model with node centrality. (Forthcoming at Complex System Modeling and Simulation)

2. Jin-Zhu Yu, Mincheng Wu, Gisela Bichler, Felipe Aros-Vera,  and Jianxi Gao. (2023). Reconstructing sparse multiplex networks with application to covert networks. Entropy 25, no. 1: 142. (Special Issue Dynamics of Complex Networks)

3. Jin-Zhu Yu, Mackenzie Whitman, Amirhassan Kermanshah, and Hiba Baroud. "Hierarchical Bayesian approach for assessing infrastructure networks serviceability under uncertainty." Reliability Engineering & System Safety (2021): 107735.

4. Yu Wang, Jin-Zhu Yu, and Hiba Baroud, “Generating synthetic systems of interdependent critical infrastructure networks,” IEEE Systems Journal 16, no. 2 (2022): 3191–3202. [code]

5. Jin-Zhu Yu and Hiba Baroud. " Modeling uncertain and dynamic interdependencies of infrastructure systems using stochastic block models." ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 6, no. 2 (2020): 020906.

6. Jin-Zhu Yu and Hiba Baroud. "Quantifying community resilience using hierarchical Bayesian kernel methods: A case study on recovery from power outages." Risk Analysis 39, no. 9 (2019): 1930-1948. [code]

7. Xiang-dong Hu, Jin-Zhu Yu, Hui Ren, Yang Wang, and Jin-tai Wang. "Analytical solution to steady-state temperature field for straight-row-piped freezing based on superposition of thermal potential." Applied Thermal Engineering 111 (2017): 223-231.

Conference Proceedings

1. Jin-Zhu Yu, Wang Yu, Hiba Baroud. Comparing topology-based and flow-based resilience assessment of interdependent infrastructure networks. (2021). Proceedings of the 13th International Conference on Structural Safety and Reliability. [code]

2. Wang Yu, Jin-Zhu Yu, and Hiba Baroud. Quantifying the interdependency strength across infrastructure systems using dynamic network flow redistribution model. (2020). Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference.

3. Jin-Zhu Yu, and Hiba Baroud. Modeling the resilience of interdependent infrastructure systems under uncertainty. (2019). Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering.

4. Jin-Zhu Yu, and Hiba Baroud. A Probabilistic Approach for Modeling the Resilience of Interdependent Power and Water Infrastructure Networks. (2019). Proceedings of the 29th European Safety and Reliability Conference (ESREL).

Manuscripts Under Review or in Preparation

1. Jin-Zhu Yu, Chencheng Cai, and Jianxi Gao. (2024+). Bullwhip effect of supply networks: Joint impact of network structure and market demand. (Under review at European Journal of Operational Research)

2. Jin-Zhu Yu and Hiba Baroud. (2024+). Approximate Gibbs sampler for efficient inference of hierarchical Bayesian models for grouped count data. (Under review at Journal of Statistical Computation and Simulation)

3. Wang Yu, Jin-Zhu Yu, and Hiba Baroud.  (2024+). A Bayesian approach to reconstructing interdependent infrastructure networks from cascading failure dynamics. (In Revision for IEEE Transactions on Network Science and Engineering)

4. Jin-Zhu Yu, Hiba Baroud, and Haoxiang Yang. (2024+). Two-stage stochastic programming approach for the integrated preparedness and response of interdependent infrastructure networks under uncertainty. (In Preparation)

• Bullwhip Effect of Supply Networks: Joint Impact of Structure and Market Demand (Oral presentation)

    INFORMS Annual Meeting, Indianapolis, IN, October 2022

• Metastability in the Evolution of Congested Traffic on Freeway Network (Oral presentation)

    INFORMS Annual Meeting, Virtual, October 2021

• Efficient Inference for Hierarchical Bayesian Regression model for Grouped Count Data (Poster presentation)

    Bayes Comp, University of Florida, Gainesville, FL, January 2020

• Risk Analysis with Small Data: A Hierarchical Bayesian Approach (Oral presentation)

Society for Risk Analysis Annual Meeting, Arlington, VA, December 2019

• A Stochastic Optimization Model for Evaluating Preparedness and Restoration Strategies of Interdependent Networks (Oral presentation)

     INFORMS Annual Meeting, Seattle, WA, October 2019

• Hierarchical Bayesian Kernel Model with Applications to Prediction with Small Count Data (Oral presentation)

     Joint Statistical Meetings, Denver, CO,  July 27-August 1  2019

• Modeling the Resilience of Interdependent Infrastructure Systems Under Uncertainty (Oral presentation)

     13th International Conference on Applications of Statistics and Probability in Civil Eng., Seoul, South Korea, May 2019

• Assessing the Impact of Social Vulnerability on Community Resilience (Oral presentation)

     Society for Risk Analysis Annual Meeting, New Orleans, LA, December 2018 

• A Probabilistic Network Flow Model for the Resilience Analysis of Interdependent Infrastructure Systems  (Oral presentation)

     INFORMS Annual Meeting, Phoenix, AZ, November 2018

• A Bayesian Approach to Assessing the Serviceability of Infrastructure Networks Under Natural Hazards (Oral presentation)

     INFORMS Annual Meeting, Phoenix, AZ, November 2018

• Quantifying Community Resilience Using Hierarchical Bayesian Methods

     Poster presentation, INFORMS Annual Meeting, Phoenix, AZ, November 2018   

     Oral presentation, Society for Risk Analysis Annual Meeting, Arlington, VA, December 2017