1. Ruiwei Jiang, Minseok Ryu, and Guanglin Xu, Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls, under the second-round review at Management Science 

2. Guanglin Xu and Grani Hanasusanto, Improved Decision Rule Approximation for Multi-Stage Robust Optimization via           Copositive programming, submitted to Operations Research

3. Xi Chen, Qihang Lin, and Guanglin Xu, Distributionally Robust Optimization with Confidence Bands for Probability Density Functions, submitted to INFORMS Journal on Optimization

4. Linquan Bai and Guanglin Xu, Data-Driven Distributionally Robust Chance Constrained Optimal Coordinated Control of Photovoltaics Inverters and Buildings in Distribution Systems, submitted to IEEE Transactions on Power Systems

5. Maciej Rysz, Alexander Semenov, and Guanglin Xu, A Stochastic Programming Approach for Key Management in Wireless Sensor Networks, submitted to Optimization Letters

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1. Guanglin Xu, Alex Semenov, and Maciej Rysz, An Integer Programming Formulation of the Key Management Problem in Wireless Sensor Networks, published "Online First" in Optimization Letters, DOI 10.1007/S11590-019-01465-2 

2. Guanglin Xu and Samuel Burer, A Data-Driven Distributionally Robust Bound on the Optimal Value of Uncertain Mixed 0-1 Linear Programming, Computational Optimization Science, Vol. 15, No. 1, 2018, pp. 111-134

3. Guanglin Xu and Samuel Burer, A Copositive Approach for Two-Stage Adjustable Robust Optimization with Uncertain Right-Hand Sides, Computational Optimization and Applications, Vol. 70, No. 1, 2018, pp. 33-59

4. Guanglin Xu and Samuel Burer, A Branch-and-Bound Algorithm for Instrumental Variable Quantile Regression, Mathematical Programming Computation, Vol. 9, No. 4, 2017, pp. 471-497

5. Guanglin Xu and Samuel Burer, Robust Sensitivity Analysis of the Optimal Value of Linear Programming, Optimization Methods and Software, Vol. 32, No. 6, 2017, pp. 1187-1205

6. Xiupeng Wei, Guanglin Xu, and Andrew Kusiak, Modeling and Optimization of a Chiller Plant, Energy, Vol. 73, 2014, pp. 898-907

7. Andrew Kusiak, Guanglin Xu, and Zijun Zhang, Minimization of Energy Consumption in HVAC systems with Data-Driven Models and an Interior-Point Method, Energy Conversion and Management, Vol. 85, No. 1, 2014, pp. 146-153

8. Andrew Kusiak, Zijun Zhang, and Guanglin Xu, Minimization of Wind Farm Operational Cost based on Data-Driven Models, IEEE Transactions on Sustainable Energy, Vol. 4, No. 3, 2013, pp. 756-764

9. Andrew Kusiak, Yaohui Zeng, and Guanglin Xu, Minimizing Energy Consumption of an Air Handling Unit with a Computational Intelligence Approach, Energy and Buildings, Vol. 60, No. 1, 2013, pp. 355-363

10. Andrew Kusiak and Guanglin Xu, Modeling and Optimization of HVAC Systems Using a Dynamic Neural Network, Energy, Vol. 42, No. 1, 2012, pp. 241-250

11. Andrew Kusiak, Guanglin Xu, and Fan Tang, Optimization of an HVAC System with a Strength Multi-Objective Particle-Swarm Algorithm, Energy, Vol. 36, No. 10, 2011, pp. 5935-5943

12. Andrew Kusiak, Fan Tang, and Guanglin Xu, Multi-Objective Optimization of HVAC System with an Evolutionary Computation Algorithm, Energy, Vol. 36, No. 5, 2011, pp. 2440-2449