| A deep reinforcement learning approach for chemical production scheduling CD Hubbs, C Li, NV Sahinidis, IE Grossmann, JM Wassick Computers & Chemical Engineering 141, 106982, 2020 | 134 | 2020 |
| Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems C Li, AJ Conejo, P Liu, BP Omell, JD Siirola, IE Grossmann European Journal of Operational Research 297 (3), 1071-1082, 2022 | 91 | 2022 |
| A Review of Stochastic Programming Methods for Optimization of Process Systems under Uncertainty C Li, IE Grossmann Frontiers in Chemical Engineering 2, 34, 2021 | 91 | 2021 |
| Engineering chimeric antigen receptor neutrophils from human pluripotent stem cells for targeted cancer immunotherapy Y Chang, R Syahirah, X Wang, G Jin, S Torregrosa-Allen, BD Elzey, ... Cell reports 40 (3), 2022 | 45 | 2022 |
| An improved L-shaped method for two-stage convex 0–1 mixed integer nonlinear stochastic programs C Li, IE Grossmann Computers & Chemical Engineering 112, 165-179, 2018 | 44 | 2018 |
| Algorithmic approaches to inventory management optimization HD Perez, CD Hubbs, C Li, IE Grossmann Processes 9 (1), 102, 2021 | 42 | 2021 |
| On representative day selection for capacity expansion planning of power systems under extreme operating conditions C Li, AJ Conejo, JD Siirola, IE Grossmann International Journal of Electrical Power & Energy Systems 137, 107697, 2022 | 39 | 2022 |
| Sequence-based prediction of cysteine reactivity using machine learning H Wang, X Chen, C Li, Y Liu, F Yang, C Wang Biochemistry 57 (4), 451-460, 2018 | 31 | 2018 |
| A generalized Benders decomposition-based branch and cut algorithm for two-stage stochastic programs with nonconvex constraints and mixed-binary first and second stage variables C Li, IE Grossmann Journal of Global Optimization, 2019 | 29 | 2019 |
| A review on the performance of linear and mixed integer two-stage stochastic programming software JJ Torres, C Li, RM Apap, IE Grossmann Algorithms 15 (4), 103, 2022 | 24* | 2022 |
| Global Optimization Algorithm for Multi-period Design and Planning of Centralized and Distributed Manufacturing Networks CL Lara, DE Bernal, C Li, IE Grossmann Computers & Chemical Engineering 127, 295--310, 2019 | 21 | 2019 |
| A finite -convergence algorithm for two-stage stochastic convex nonlinear programs with mixed-binary first and second-stage variables C Li, IE Grossmann Journal of Global Optimization, 1-27, 2019 | 16* | 2019 |
| Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization S Cho, C Li, IE Grossmann Computers & Chemical Engineering 165, 107924, 2022 | 13 | 2022 |
| Shale gas pad development planning under price uncertainty C Li, JP Eason, MG Drouven, IE Grossmann AIChE Journal 66 (6), e16933, 2020 | 12 | 2020 |
| Sample average approximation for stochastic nonconvex mixed integer nonlinear programming via outer-approximation C Li, DE Bernal, KC Furman, MA Duran, IE Grossmann Optimization and Engineering 22, 1245-1273, 2021 | 10 | 2021 |
| Multi‐period design and planning model of shale gas field development Z Peng, C Li, IE Grossmann, K Kwon, S Ko, J Shin, Y Feng AIChE Journal 67 (8), e17195, 2021 | 8 | 2021 |
| Diagnosing infeasible optimization problems using large language models H Chen, GE Constante-Flores, C Li arXiv preprint arXiv:2308.12923, 2023 | 6 | 2023 |
| Shale gas field development planning under production profile uncertainty Z Peng, C Li, IE Grossmann, K Kwon, S Ko, J Shin, Y Feng AIChE Journal 68 (1), e17439, 2022 | 3 | 2022 |
| Solution Polishing via Path Relinking for Continuous Black-Box Optimization D Papageorgiou, J Kronqvist, A Ramanujam, J Kor, Y Kim, C Li arXiv preprint arXiv:2402.12283, 2024 | | 2024 |
| Physics-Informed Neural Networks with Hard Linear Equality Constraints H Chen, GE Flores, C Li arXiv preprint arXiv:2402.07251, 2024 | | 2024 |
Ignacio E. GrossmannCarnegie Mellon UniversityVerified email at cmu.edu
