Zukui Li Research Group

Publications

Refereed journal papers

2025

1. Z. Zhang, B. Huang, Z. Li. Dynamic Process Flexibility Analysis Using Neural Networks and a Volumetric Flexibility Index. Industrial & Engineering Chemistry Research. 2025, accepted.
2. Y. Shi, Z. Li, B. Yang. A Multi-Sensor Feature Representation and Fusion Method for Data-Driven Industrial Process Fault Diagnosis. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 2025, accepted.



2024

3. Z. Yuan, L. Chen, G. Liu, Z. Li, Y. Pan, Y. Wu, H. Ji. A 1+ mechanism model for predicting the mixed oil concentration in multi-product pipelines. SPE Journal. 2024, accepted.
4. Z. Zhang, S. Yang, B. Huang, Z. Li. Novel Feasible Set Learning and Process Flexibility Analysis Method Using Deep Neural Networks. Industrial & Engineering Chemistry Research. 2024, 63, 11516-11529.
5. Z. Yuan, L. Chen, G. Liu, Z. Li, Y. Wu, Y. Pan, H. Ji, W. Yang. Soft sensor development for mixed oil interface tracking in multi-product pipelines based on Knowledge-informed Semi-supervised Variational Bayesian Gaussian Mixture Regression. Energy. 2024, 300, 131516.
6. S. Kammammettu, S. Yang, Z. Li. Distributionally robust chance-constrained optimization with Gaussian mixture ambiguity set. Computers & Chemical Engineering. 2024, 186, 108703.
7. R. Zhang, C. Zhang, X. Song, Z. Li, Y. Su, G. Li, Z. Zhu. Real-time prediction of logging parameters during the drilling process using an attention-based Seq2Seq model. Geoenergy Science and Engineering. 2024, 233, 212279.
8. S. Kammammettu, S. Yang, Z. Li. Distributionally Robust Optimization using Optimal Transport for Gaussian Mixture Models. Optimization and Engineering. 2024, 25, 1571-1596.



2023

9. S. Yang, J. Moreira, Z. Li. Bio-Inspired Encoder-Decoder Recurrent Neural Network with Attention for Hydroprocessing Unit Modeling. Industrial & Engineering Chemistry Research. 2023, 62, 18526-18540.
10. F. Motamed, Z. Li. Multistage Adaptive Robust Binary Optimization: Uncertainty Set Lifting versus Partitioning through Breakpoints Optimization. Mathematics. 2023, 11, 3883.
11. S. Yang, S. Kammammettu, Z. Li. Data-Driven Distributionally Robust Chance-Constrained Optimization with Large Data Set and Outliers: Sequential Sample Removal Algorithm for Solution Improvement Computers & Chemical Engineering. 2023, 179, 108407.
12. A. Rajendran, G. Subraveti, N. Kasturi, V. Prasad, Z. Li. How Can (or Why Should) Process Engineering Aid the Screening and Discovery of Solid Sorbents for CO2 Capture? Accounts of Chemical Research. 2023, 56, 2354-2365.
13. A. Puliyanda, K. Srinivasan, Z. Li, V. Prasad. Benchmarking chemical neural ordinary differential equations to obtain reaction network-constrained kinetic models from spectroscopic data. Engineering Applications of Artificial Intelligence. 2023, 125, 106690.
14. S. Yang, Z. Li. Distributionally Robust Chance-Constrained Optimization with Sinkhorn Ambiguity Set. AIChE Journal. 2023, 69, e18177.
15. C. Cui, Z. Li, J. Zhang, J. Shen Flexible Operation of the Pressurized Water Reactor Nuclear Power System using Multi-model Predictive Control Over a Wide Nonlinear Operating Range. Applied Thermal Engineering. 2023, 230, 120821.
16. Z. Zhang, Z. Li Haemoglobin Response Modelling under Erythropoietin Treatment: Physiological Model-Informed Machine Learning Method. The Canadian Journal of Chemical Engineering. 2023, 101, 4307-4319.
17. G. Subraveti, Z. Li, V. Prasad, A. Rajendran. Can a computer "learn" nonlinear chromatography?: Experimental validation of physics-based deep neural networks for the simulation of chromatographic processes. Industrial & Engineering Chemistry Research. 2023, 62,5929-5944.
18. S. Kammammettu, Z. Li. Scenario Reduction and Scenario Tree Generation for Stochastic Programming using Sinkhorn Distance. Computers & Chemical Engineering. 2023, 170, 108122.
19. C. Manchikatla, Z. Li, B. Huang Bypass Control of Heat Exchanger Network under Uncertainty. The Canadian Journal of Chemical Engineering. 2023, 101, 533-544.



2022

20. S. Yang, Z. Li. Kernel Distributionally Robust Chance-Constrained Process Optimization. Computers & Chemical Engineering. 2022, 165, 107953.
21. A. Puliyanda, Z. Li, V. Prasad Real-time monitoring of reaction mechanisms from spectroscopic data using hidden semi-Markov models for mode identification. Journal of Process Control. 2022, 117, 188-205.
22. S. Yang, Z. Li, J. Moreira. A Recurrent Neural Network-Based Approach for Joint Chance Constrained Stochastic Optimal Control. Journal of Process Control.. 2022, 116, 209.
23. S. Yang, J. Moreira, Z. Li. Predicting Crude Oil Properties Using Fourier-Transform Infrared Spectroscopy (FTIR) and Data-Driven Methods. Digital Chemical Engineering. 2022, 3, 100031.
24. G. Subraveti, Z. Li, V. Prasad, A. Rajendran. Can a computer "learn" nonlinear chromatography?: Physics-based deep neural networks for simulation and optimization of chromatographic processes. Journal of Chromatography A. 2022, 1672, 463037.
25. G. Subraveti, Z. Li, V. Prasad, A. Rajendran. Physics-Based Neural Networks for Simulation and Synthesis of Cyclic Adsorption Processes. Industrial & Engineering Chemistry Research. 2022, 61, 4095-4113.
26. S. Rahal, Z. Li, D. Papageorgiou. Deep lifted decision rules for two-stage adaptive optimization problems. Computers & Chemical Engineering. 2022, 159, 107661.
27. S. Rahal, Z. Li Norm Induced Polyhedral Uncertainty Sets for Robust Linear Optimization. Optimization and Engineering. 2022, 23, 1765.
28. W. Wu, F. Hsu, W. Chang, J. Hwang, Z. Li. Economic dispatch optimization of SOFC/GT-based cogeneration systems using flexible fuel purchasing strategy. Journal of the Taiwan Institute of Chemical Engineers. 2022, 130, 103832.



2021

29. A. Puliyanda, K. Sivaramakrishnan, Z. Li, A. de Klerk, V. Prasad Structure-preserving joint non-negative tensor factorization to identify reaction pathways using Bayesian networks. Journal of Chemical Information and Modeling. 2021, 61, 5747-5762.
30. F. Motamed, Z. Li. Multistage Adaptive Stochastic Mixed Integer Optimization Under Endogenous and Exogenous Uncertainty. AIChE Journal. 2021, 67, e17333.
31. F. Motamed, Z. Li. Multistage Adaptive Stochastic Mixed Integer Optimization through Piecewise Decision Rule Approximation. Computers & Chemical Engineering. 2021, 149, 107286.
32. S. Yang, Z. Li, W. Wu. Data-driven Process Optimization Considering Surrogate Model Prediction Uncertainty: A Mixture Density Network based Approach. Industrial & Engineering Chemistry Research. 2021, 60,2206-2222.
33. S. Rahal, Z. Li, D. Papageorgiou. Hybrid Strategies using Linear and Piecewise-Linear Decision Rules for Multistage Adaptive Linear Optimization. European Journal of Operational Research. 2021, 290, 1014-1030.



2020

34. A. Puliyanda, K. Sivaramakrishnan, Z. Li, A. de Klerk, V. Prasad. Data Fusion by Joint Non-negative Matrix Factorization for Hypothesizing Pseudo-chemistry Using Bayesian Networks. Reaction Chemistry & Engineering. 2020, 5, 1719-1737.
35. W. Wu, K.B. Liew, S. Abbas, M.A. Raza, J.J. Hwang, S.B. Yang, Z. Li. Exergy-based modular design of an on-board MeOH-to-H2 processor for fuel cell vehicles. International Journal of Hydrogen Energy. 2020, 45, 19880-19890.
36. Y. Mohankumar, Z. Li, B. Huang. Integrated well pad development scheduling with steam injection control in steam-assisted gravity drainage. Journal of Process Control. 2020, 89, 45-57.
37. S. Kammammettu, Z. Li. Two-Stage Robust Optimization of Water Treatment Network Design and Operations Under Uncertainty. Industrial & Engineering Chemistry Research. 2020, 59, 1218-1233.
38. S. Rahal, Z. Li, D. Papageorgiou. Proactive and Reactive Scheduling of the Steelmaking and Continuous Casting Process through Adaptive Robust Optimization. Computers & Chemical Engineering. 2020, 133, 106658.
39. Y. Yuan, Z. Li, B. Huang. Oil sands extraction plant debottlenecking: an optimization approach. Optimization Letters. 2020, 14, 945-957.



2019

40. G. Subraveti, Z. Li, V. Prasad, A. Rajendran. Machine learning-based multi-objective optimization of pressure-swing adsorption. Industrial & Engineering Chemistry Research. 2019, 58, 20412-20422.
41. Y. Mohankumar, Z. Li, B. Huang. Steam allocation and production optimization in SAGD reservoir under steam-to-oil ratio uncertainty. Journal of Petroleum Science and Engineering. 2019, 183, 106456.
42. F. Motamed, Z. Li. Multistage Adaptive Optimization Using Hybrid Scenario and Decision Rule Formulation. AIChE Journal. 2019, 65, e16764.
43. S. Kammammettu, Z. Li. Change Point and Fault Detection using Kantorovich Distance. Journal of Process Control. 2019, 80, 41-59.
44. H. Shahandeh, F. Motamed, Z. Li. Multistage Stochastic Capacity Planning of Partially Upgraded Bitumen Production with Hybrid Solution Method. Optimization and Engineering. 2019, 20, 1193-1226.
45. J. McAllister, Z. Li, J. Liu, U. Simonsmeier. Erythropoietin Dose Optimization for Anemia in Chronic Kidney Disease using Recursive Zone Model Predictive Control. IEEE Transactions on Control Systems Technology. 2019, 27, 1181-1193.
46. W. Shen, Z. Li, B. Huang, N. Magbool Jan. Chance Constrained Model Predictive Control for SAGD Process using Robust Optimization Approximation. Industrial & Engineering Chemistry Research. 2019, 58, 11407-11418.



2018

47. F. Motamed, H. Shahandeh, Z. Li. Strategic Planning of SAGD Reservoir Development under Reservoir Production and Oil Price Uncertainty. Industrial & Engineering Chemistry Research. 2018, 57, 9513-9526.
48. J. McAllister, Z. Li, J. Liu, U. Simonsmeier. EPO Dosage Optimization for Anemia Management: Stochastic Control under Uncertainty Using Conditional Value at Risk. Processes. 2018, 6, 60.
49. H. Shahandeh, F. Motamed, Z. Li. Expansion Development Planning of Thermocracking-based Bitumen Upgrading Plant under Uncertainty. Computers & Chemical Engineering. 2018, 111, 225-240.
50. B.M.S. Arifin, Z. Li, S.L. Shah, G.A. Meyer, A. Colin. A Novel Data-Driven Leak Detection and Localization Algorithm using the Kantorovich Distance. Computers & Chemical Engineering. 2018, 108, 300-313.
51. Y. Yuan, Z. Li, B. Huang. Nonlinear Robust Optimization for Process Design. AIChE Journal. 2018, 64, 481-494.



2017

52. H. Shahandeh, Z. Li. Optimal Design of Bitumen Upgrading Facility with CO2 Reduction. Computers & Chemical Engineering. 2017, 106, 106-121.
53. H. Shahandeh, Z. Li. Design of Bitumen Upgrading and Utility Plant through Integrated Optimization. Industrial & Engineering Chemistry Research. 2017, 56, 2107-2126.
54. Y. Yuan, Z. Li, B. Huang. Robust Optimization Approximation for Joint Chance Constrained Optimization Problem. Journal of Global Optimization. 2017, 67, 805-827.



2016

55. R. Tan, B. Huang, Z. Li. Estimation of Flat-topped Gaussian distribution with application in system identification. Journal of Chemometrics. 2016, 30, 726-738.
56. Z. Wang, Z. Li, Y. Feng, G. Rong. Crude Oil Operations under Uncertainty: A Continuous-time Rescheduling Framework and a Simulation Environment for Validation. Industrial & Engineering Chemistry Research. 2016, 55, 11383-11401.
57. W. Yan, P. Guo, L. Gong, Z. Li. Nonlinear and robust statistical process monitoring based on variant autoencoders. Chemometrics and Intelligent Laboratory Systems. 2016, 158, 31-40.
58. H. Shahandeh, Z. Li. Modeling and Optimization of the Upgrading and Blending Operations of Oil Sands Bitumen. Energy & Fuels. 2016, 30, 5202-5213.
59. Zhuangzhi Li, Z. Li. Linear Programming based Scenario Reduction using Transportation Distance. Computers & Chemical Engineering. 2016, 88, 50-58.
60. Z. Wang, Z. Li, Y. Feng, G. Rong. Integrated short-term scheduling and production planning in an ethylene plant based on Lagrangean decomposition. Canadian Journal of Chemical Engineering. 2016, 94, 1723-1739.
61. H. Shahandeh, S. Rahim, Z. Li. Strategic Optimization of the Oil Sands Development with SAGD: Drainage Area Arrangement and Development Planning. Journal of Petroleum Science and Engineering. 2016, 137, 172-184.
62. Y. Yuan, Z. Li, B. Huang. Robust optimization under correlated uncertainty: Formulations and computational study. Computers & Chemical Engineering. 2016, 85, 58-71.
63. Z. Li, C.A. Floudas. Optimal Scenario Reduction Framework based on Distance of Uncertainty Distribution and Output Performance: II. Sequential Reduction. Computers & Chemical Engineering. 2016, 84, 599-610.



2015

64. R. Patel, J. Trivedi, S. Rahim, Z. Li. Initial Sampling of Ensemble for SAGD Reservoir History Matching. Journal of Canadian Petroleum Technology. 2015, 54, 424-441.
65. Y. Yuan, S. Khatibisepehr, B. Huang, Z. Li. Bayesian method for simultaneous gross error detection and data reconciliation. AIChE Journal. 2015, 61, 3232-3248.
66. S. Rahim, Z. Li, J. Trivedi. Reservoir Geological Uncertainty Reduction: an Optimization-Based Method Using Multiple Static Measures. Mathematical Geosciences. 2015, 47, 373-396.
67. Zhuangzhi Li, Z. Li. Optimal Robust Optimization Approximation for Chance Constrained Optimization Problem. Computers & Chemical Engineering. 2015, 74, 89-99.



2014

68. Z. Li, C.A. Floudas. A comparative theoretical and computational study on robust counterpart optimization: III. Improving the Quality of Robust Solutions. Industrial & Engineering Chemistry Research. 2014, 53, 13112-13124.
69. Z. Li, C.A. Floudas. Optimal scenario reduction framework based on distance of uncertainty distribution and output performance: I. Single reduction via mixed integer linear optimization. Computers & Chemical Engineering. 2014, 70, 50-66.
70. Y. Ye, J. Li, Z. Li, Q. Tang, X. Xiao, C.A. Floudas. Robust optimization and stochastic programming approaches for medium-term production scheduling of a large-scale steelmaking continuous casting process under demand uncertainty. Computers & Chemical Engineering. 2014, 66, 165-185.



Before 2013

71. R.C. Baliban, D. Sakellari, Z. Li, Y.A. Guzman, B.A. Garcia, C.A. Floudas. Discovery of biomarker combinations that predict periodontal health or disease with high accuracy from GCF samples based on high-throughput proteomic analysis and mixed-integer linear optimization. Journal of Clinical Periodontology. 2013, 40, 131-139.
72. Z. Li, Q. Tang, C.A. Floudas. A comparative theoretical and computational study on robust counterpart optimization: II. Probabilistic guarantees on constraint satisfaction. Industrial & Engineering Chemistry Research. 2012, 51, 6769-6788.
73. Z. Li, M.G. Ierapetritou. Capacity expansion planning through augmented Lagrangian optimization: A comparison study of the decomposition strategies. AIChE Journal. 2012, 58, 871-883.
74. R.C. Baliban, D. Sakellari, Z. Li, P.A. DiMaggio, B.A. Garcia, C.A. Floudas. Novel protein identification methods for biomarker discovery via a proteomic analysis of periodontally healthy and diseased gingival crevicular fluid samples. Journal of Clinical Periodontology. 2012, 39, 203-212.
75. Z. Li, R. Ding, C.A. Floudas. A comparative theoretical and computational study on robust counterpart optimization: I. Robust linear optimization and robust mixed integer linear optimization. Industrial & Engineering Chemistry Research, 2011, 50, 10567-10603.
76. Z. Li, M.G. Ierapetritou. Rolling horizon method for the integrated planning and scheduling problem with production capacity considerations. Chemical Engineering Science, 2010, 65, 5887-5900.
77. Z. Li, M.G. Ierapetritou. Production planning and scheduling integration through augmented Lagrangian optimization. Computers & Chemical Engineering, 2010, 34, 996-1006.
78. Z. Li, M.G. Ierapetritou. A method for solving the general parametric linear complementarity problem. Annals of Operations Research, 2010, 181, 485-501.
79. N. Shah, Z. Li, M.G. Ierapetritou. Petroleum refining operations: key issues, advances and opportunities. Industrial & Engineering Chemistry Research, 2010, 50, 1161-1170.
80. Z. Li, M.G. Ierapetritou. Integrated planning and scheduling in a decomposition framework. Chemical Engineering Science, 2009, 64, 3585-3597.
81. Z. Li, M.G. Ierapetritou. Reactive scheduling using parametric programming. AIChE Journal, 2008, 54, 2610-2623.
82. Z. Li, M.G. Ierapetritou. Robust optimization for process scheduling under uncertainty. Industrial & Engineering Chemistry Research, 2008, 47, 4148-4157.
83. Z. Li, M.G. Ierapetritou. Process scheduling under uncertainty: review and challenges. Computers & Chemical Engineering, 2008, 32, 715-727.
84. Z. Li, M.G. Ierapetritou. Process scheduling under uncertainty using multiparametric programming. AIChE Journal, 2007, 53, 3183-3203.
85. Z. Li, M.G. Ierapetritou. A new methodology for the general multiparametric mixed-integer linear programming (MILP) problems Industrial & Engineering Chemistry Research, 2007, 46, 5141-5151.
86. M. Xue, Z. Li, G. Wu, D. Sun. Solving the oil blend scheduling optimization problem with a multi-step strategy. Journal of University of Science and Technology of China, 2006, 36, 834-839.
87. M. Xue, Z. Li, G. Wu, D. Sun. Research of quality control for the oil in-line blending system. Control and Instruments in Chemical Industry, 2005, 32, 14.
88. M. Xue, Z. Li, G. Wu, D. Sun. A scheduling model for oil products blending and its application. Petroleum Processing and Petrochemicals, 2005, 36, 64.
89. M. Xue, Z. Li, G. Wu, D. Sun. Development of a gasoline blending optimization software. Control and Instruments in Chemical Industry, 2005, 32, 34.

Refereed book chapters

1. Z. Li. Optimization for Planning, Scheduling and Control Operations: Applications in Oil Sands Extraction. Encyclopedia of Systems and Control Engineering, Z. Ding (eds.), Elsevier, 2024.
2. Z. Li, C.A. Floudas. Application of Stochastic Optimization to Chemical Engineering. Advances and Trends in Optimization with Engineering Applicationsg, T. Terlaky, M.F. Anjos, S. Ahmed (eds.), SIAM, 2017, 393-404.
3. M.G. Ierapetritou, Z. Li. Modeling and managing uncertainty in process planning and scheduling. Optimization and Logistics Challenges in the Enterprise, W. Chaovalitwongse et al.(eds.), Springer Optimization and Its Applications 30, 2009, 97-144.

Refereed conference papers

1. Z. Yuan, L. Chen, G. Liu, Z. Li, Y. Zhang. Knowledge-Informed Semi-Supervised Robust Modeling for Mixed Oil Length Prediction in Multi-Product Pipelines Based on Student's-T Mixture Model. International Pipeline Conference (IPC2024) Calgary, Canada, September 23-27, 2024
2. Z. Zhang, Z. Li. Model Predictive Control for Renal Anemia Treatment through Physics-Informed Neural Network. 12th IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM) Toronto, Canada, July 14-17, 2024
3. D. Thosar, A. Bhakte, Z. Li, A. Rajendran, R. Srinivasan, V. Prasad. Adaptive Physics-Informed Neural Network for Prediction with Evolving Process Parameters. Proceedings of the 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24), Florence, Italy, June 2-6, 2024.
4. S. Yang, Z. Li. Recurrent Neural Network-Based Joint Chance Constrained Stochastic Model Predictive Control. The 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS), Busan, Korea, 2022.
5. S. Yang, J. Moreira, Z. Li. Joint Chance Constrained Process Optimization through Neural Network Approximation. The 14th International Symposium on Process Systems Engineering (PSE), Kyoto, Japan, 2022.
6. S. Yang, Z. Li. Distributionally Robust Chance-Constrained Optimization with Deep Kernel Ambiguity Set. The 7th International Symposium on Advanced Control of Industrial Processes, Vancouver, Canada, 2022.
7. A. Puliyanda, A. De Klerk, Z. Li, V. Prasad. Spectroscopic Data Fusion by Joint Non negative Matrix Factorization for Hypothesizing Pseudo chemistry Using Bayesian Networks. Foundations of Process Analytics and Machine Learning (FOPAM), Raleigh, NC, 2019.
8. S. Kammammettu, Z. Li. Multistage Adaptive Optimization for Steelmaking and Continuous Casting Scheduling under Processing Time Uncertainty. The 5th workshop on Mining, Mineral and Metal Processing, Shanghai, China, 2018.
9. B.M.S. Arifin, Z. Li, S. Shah. Change Point Detection using the Kantorovich Distance Algorithm. International Symposium on Advanced Control of Chemical Processes, Shengyang, China, 2018.
10. F. Motamed Nasab, H. Shahandeh, Z. Li. Strategic Planning of SAGD Reservoir Development under Exogenous and Endogenous Uncertainty. Proceedings of the 13th International PSE Meeting, San Diego, 2018.
11. J. McAllister, J. Liu, Z. Li, U. Simonsmeier. Erythropoiesis-stimulating-agent Dose Optimization for Anemia Management in Chronic Kidney Disease using Recursive Constrained Modeling and Zone Model Predictive Control. 2018 American Control Conference, Milwaukee, 2018.
12. J. Ren, J. McAllister, Z. Li, J. Liu, U. Simonsmeier. Modeling of Hemoglobin Response to Erythropoietin Therapy through Constrained Optimization. 6th International Symposium on Advanced Control of Industrial Processes, Taipei, 2017.
13. F. Xu, M. Mantri, Z. Li. A Novel Algorithm for Targeted Metabolite Profiling using NMR Spectrum. 6th International Symposium on Advanced Control of Industrial Processes, Taipei, 2017.
14. Z. Li, S. Rahal. Robust Optimization with Data Driven Asymmetric Uncertainty Set Construction. Foundations of Computer-Aided Process Operations, Tucson, Arizona, 2017.
15. Y. Yuan, Z. Li, B. Huang. Nonlinear robust optimization with uncertain equality constraints. Foundations of Computer-Aided Process Operations, Tucson, Arizona, 2017.
16. R. Patel, J. Trivedi, S. Rahim, Z. Li. Initial Sampling of Ensemble for SAGD Reservoir History Matching and Production Optimization. World Heavy Oil Congress, Edmonton, 2015.
17. S. Rahim, Z. Li. Well placement optimization with geological uncertainty reduction. International Symposium on Advanced Control of Chemical Processes, Whistler, 2015.
18. B. Arifin, Z. Li, Sirish Shah. Pipeline leak detection using particle filter. International Symposium on Advanced Control of Chemical Processes, Whistler, 2015.
19. Zhuangzhi Li, Z. Li. Chance Constrained Planning and Scheduling under Uncertainty using Robust Optimization Approximation. International Symposium on Advanced Control of Chemical Processes, Whistler, 2015.
20. Y. Ye, J. Li, Z. Li, Q. Tang, X. Xiao, C.A. Floudas. Medium-Term Production Scheduling of a Large-Scale Steelmaking Continuous Casting Process under Demand Uncertainty. 23rd European Symposium on Computer Aided Process Engineering, Finland, 2013.
21. Z. Li, C.A. Floudas. Robust counterpart optimization: Uncertainty sets, formulations and probabilistic guarantees. Proceedings of the 6th Conference on Foundations of Computer-Aided Process Operations, Savannah, Jan., 2012.
22. J. Zhuge, M. Xue, Z. Li. Stochastic MPC for supply chain management using MCMC approaches. Proceedings of the IEEE 2010 Chinese Control and Decision Conference, 167-172, 2010.
23. Z. Li, M.G. Ierapetritou. Planning and scheduling integration and uncertainty consideration in process industry. Proceedings of the 10th International PSE Meeting, Brazil, 2009, 87-94.
24. Z. Li, M.G. Ierapetritou, et al. Planning and scheduling under uncertainty in process industry. Proceedings of the 8th China PSE Annual Meeting, Shanghai, 2008, 313-320.
25. Z. Li, M.G. Ierapetritou. Robust scheduling optimization. Proceedings of the 5th Conference on Foundations of Computer-Aided Process Operations, Boston, 2008, 425-428.