Data-driven robust optimization for crude oil blending under uncertainty. - Xin Dai 008; Xiaoqiang Wang; Renchu He; Wenli Du; Weimin Zhong; Liang Zhao; Feng Qian 004 (Comput. Chem. Eng., 2020)

Corrigendum to 'Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties' [Computers and Chemical Engineering 171 (2023) 108156]. - Xin Dai 008; Liang Zhao; Renchu He; Wenli Du; Weimin Zhong; Zhi Li 067; Feng Qian 004 (Comput. Chem. Eng., 2023)

Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels. - Muyi Huang; Renchu He; Xin Dai 008; Xin Peng 003; Wenli Du; Feng Qian 004 (CoRR, 2023)

Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties. - Xin Dai 008; Liang Zhao; Renchu He; Wenli Du; Weimin Zhong; Zhi Li 067; Feng Qian 004 (Comput. Chem. Eng., 2023)

Plant-wide optimal scheduling of multi-grade PET production with time window constraints: A hybrid discrete/continuous-time optimization formulation. - Chenge Du; Xin Dai 008; Zhenlei Wang; Chen Fan; Hongtao Chang (Comput. Chem. Eng., 2024)

A novel multi-operation sequencing formulation for the crude oil scheduling problem with restricted overlapping constraints. - Chuan Wang; Minglei Yang 004; Xin Dai 008; Chen Fan; Wenli Du (Comput. Chem. Eng., 2024)

Deep Reinforcement Learning-Based Energy-Conscious Scheduling Under Time-of-Use Electricity Price. - Caixia Wang; Wenxuan Fang; Xin Dai 008; Renchu He; Wei Du 003; Yang Tang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Generalized Nash Equilibrium in Two-Echelon Supply Chain Networks: Analyzing Intra-Entity Collaboration and Inter-Entity Competition. - Jiale Zhang; Xin Dai 008; Wenli Du (IEEE Trans. Netw. Sci. Eng., 2025)

A production planning benchmark for real-world refinery-petrochemical complexes. - Wenli Du; Chuan Wang; Chen Fan; Zhi Li 067; Yeke Zhong; Tianao Kang; Ziting Liang; Minglei Yang 004; Feng Qian 004; Xin Dai 008 (CoRR, 2025)