Fengqi You

According to our database1, Fengqi You authored at least 92 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Process systems engineering - <i>The generation next?</i>.
Comput. Chem. Eng., 2021

Online learning based risk-averse stochastic MPC of constrained linear uncertain systems.
Autom., 2021

2020
Robust Model Predictive Control of Irrigation Systems With Active Uncertainty Learning and Data Analytics.
IEEE Trans. Control. Syst. Technol., 2020

Distributionally Robust Chance Constrained Programming with Generative Adversarial Networks (GANs).
CoRR, 2020

Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS.
Comput. Chem. Eng., 2020

Deep learning and knowledge-based methods for computer-aided molecular design - toward a unified approach: State-of-the-art and future directions.
Comput. Chem. Eng., 2020

Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems.
Comput. Chem. Eng., 2020

Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems.
Comput. Chem. Eng., 2020

A transformation-proximal bundle algorithm for multistage adaptive robust optimization and application to constrained robust optimal control.
Autom., 2020

A Deep Learning Approach for Fault Detection and Diagnosis of Industrial Processes using Quantum Computing.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Economically-Optimal Control of Electric Taxicab for Urban Driving Cycle.
Proceedings of the 2020 American Control Conference, 2020

Multistage Model Predictive Control based on Data-Driven Distributionally Robust Optimization.
Proceedings of the 2020 American Control Conference, 2020

Efficient Greenhouse Temperature Control with Data-Driven Robust Model Predictive.
Proceedings of the 2020 American Control Conference, 2020

Theoretical Exploration of Irrigation Control for Stem Water Potential through Model Predictive Control.
Proceedings of the 2020 American Control Conference, 2020

2019
A projection-based reformulation and decomposition algorithm for global optimization of a class of mixed integer bilevel linear programs.
J. Glob. Optim., 2019

Posteriori Probabilistic Bounds of Convex Scenario Programs with Validation Tests.
CoRR, 2019

Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming.
Comput. Chem. Eng., 2019

A stochastic game theoretic framework for decentralized optimization of multi-stakeholder supply chains under uncertainty.
Comput. Chem. Eng., 2019

Industrial Steam Systems Optimization under Uncertainty Using Data-Driven Adaptive Robust Optimization.
Proceedings of the 2019 American Control Conference, 2019

Robust Constrained Model Predictive Control of Irrigation Systems Based on Data-Driven Uncertainty Set Constructions.
Proceedings of the 2019 American Control Conference, 2019

Data-Driven Adaptive Robust Optimization Framework for Unit Commitment under Renewable Energy Generation Uncertainty.
Proceedings of the 2019 American Control Conference, 2019

Chemical Process Scheduling under Disjunctive Uncertainty Using Data-Driven Multistage Adaptive Robust Optimization.
Proceedings of the 2019 American Control Conference, 2019

Distributionally Robust Optimization of Shale Gas Supply Chains under Uncertainty.
Proceedings of the 2019 American Control Conference, 2019

2018
A Transformation-Proximal Bundle Algorithm for Solving Large-Scale Multistage Adaptive Robust Optimization Problems.
CoRR, 2018

A data-driven robust optimization approach to scenario-based stochastic model predictive control.
CoRR, 2018

Distributionally robust optimization for planning and scheduling under uncertainty.
Comput. Chem. Eng., 2018

Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods.
Comput. Chem. Eng., 2018

Data-Driven Stochastic Robust Optimization: General Computational Framework and Algorithm Leveraging Machine Learning for Optimization under Uncertainty in the Big Data Era.
Comput. Chem. Eng., 2018

Adaptive robust optimization with minimax regret criterion: Multiobjective optimization framework and computational algorithm for planning and scheduling under uncertainty.
Comput. Chem. Eng., 2018

Resilient design and operations of process systems: Nonlinear adaptive robust optimization model and algorithm for resilience analysis and enhancement.
Comput. Chem. Eng., 2018

Chance Constrained Model Predictive Control via Active Uncertainty Set Learning and Calibration.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Transformation-Proximal Bundle Algorithm for Solving Multistage Adaptive Robust Optimization Problems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Data-Driven Real-Time Irrigation Control Method Based on Model Predictive Control.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Distributionally Robust Process Scheduling under Ambiguous Uncertainty.
Proceedings of the 2018 Annual American Control Conference, 2018

Data-Driven Adaptive Robust Optimization Framework Based on Principal Component Analysis.
Proceedings of the 2018 Annual American Control Conference, 2018

Operational Optimization of Shale Gas Processing under Feedstock Uncertainties with Updated Back-off Strategy.
Proceedings of the 2018 Annual American Control Conference, 2018

Nonlinear Adaptive Robust Optimization Model and Algorithm for Resilience Analysis and Enhancement.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Data-Driven Nested Stochastic Robust Optimization: A General Computational Framework and Algorithm for Optimization under Uncertainty in the Big Data Era.
CoRR, 2017

Stackelberg-game-based modeling and optimization for supply chain design and operations: A mixed integer bilevel programming framework.
Comput. Chem. Eng., 2017

Data-driven robust optimization based on kernel learning.
Comput. Chem. Eng., 2017

A systematic simulation-based process intensification method for shale gas processing and NGLs recovery process systems under uncertain feedstock compositions.
Comput. Chem. Eng., 2017

Modeling framework and computational algorithm for hedging against uncertainty in sustainable supply chain design using functional-unit-based life cycle optimization.
Comput. Chem. Eng., 2017

Design and optimization of shale gas energy systems: Overview, research challenges, and future directions.
Comput. Chem. Eng., 2017

Leveraging big data for adaptive robust optimization of scheduling under uncertainty.
Proceedings of the 2017 American Control Conference, 2017

2016
A computationally efficient simulation-based optimization method with region-wise surrogate modeling for stochastic inventory management of supply chains with general network structures.
Comput. Chem. Eng., 2016

The water-energy-food nexus and process systems engineering: A new focus.
Comput. Chem. Eng., 2016

Data-driven robust MILP model for scheduling of multipurpose batch processes under uncertainty.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Supply chain design and optimization: Challenges and opportunities.
Comput. Chem. Eng., 2015

Simulation-based optimization framework for multi-echelon inventory systems under uncertainty.
Comput. Chem. Eng., 2015

Integrated planning and scheduling under production uncertainties: Bi-level model formulation and hybrid solution method.
Comput. Chem. Eng., 2015

Model-based integration of control and operations: Overview, challenges, advances, and opportunities.
Comput. Chem. Eng., 2015

Adaptive surrogate-based algorithm for integrated scheduling and dynamic optimization of sequential batch processes.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Stochastic programming approach to optimal design and operations of shale gas supply chain under uncertainty.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Bilevel programming approach for manufacturing facility investment optimization with non-cooperative suppliers and customers.
Proceedings of the American Control Conference, 2015

A fast simulation-based optimization method for inventory control of general supply chain networks under uncertainty.
Proceedings of the American Control Conference, 2015

Robust optimization for integrated scheduling of sequential batch processes with dynamics.
Proceedings of the American Control Conference, 2015

An efficient global optimization algorithm for mixed-integer nonlinear fractional programs with separable concave terms.
Proceedings of the American Control Conference, 2015

Fast optimization algorithms for large-scale mixed-integer linear fractional programming problems.
Proceedings of the American Control Conference, 2015

Integrated planning, scheduling, and dynamic optimization for sequential batch processes.
Proceedings of the American Control Conference, 2015

2014
Globally convergent exact and inexact parametric algorithms for solving large-scale mixed-integer fractional programs and applications in process systems engineering.
Comput. Chem. Eng., 2014

Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges.
Comput. Chem. Eng., 2014

Game-theoretic modeling and optimization of multi-echelon supply chain design and operation under Stackelberg game and market equilibrium.
Comput. Chem. Eng., 2014

Robust design and operations of hydrocarbon biofuel supply chain integrating with existing petroleum refineries considering unit cost objective.
Comput. Chem. Eng., 2014

Hybrid method integrating agent-based modeling and heuristic tree search for scheduling of complex batch processes.
Comput. Chem. Eng., 2014

Agent-based method for solving competitive biorefinery network design problem.
Proceedings of the 2014 Winter Simulation Conference, 2014

Simulation-based optimization for multi-echelon inventory systems under uncertainty.
Proceedings of the 2014 Winter Simulation Conference, 2014

Integrated planning, scheduling, and dynamic optimization for continuous processes.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Optimization of water management in shale gas production process.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Integrated planning and scheduling by hybrid solution method.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Simulation-based method for optimizing multi-echelon inventory systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Parametric algorithms for global optimization of mixed-integer fractional programming problems in process engineering.
Proceedings of the American Control Conference, 2014

Hybrid agent-based method for scheduling of complex batch processes.
Proceedings of the American Control Conference, 2014

Integrated scheduling and dynamic optimization of network batch processes.
Proceedings of the American Control Conference, 2014

Integration of scheduling and dynamic optimization of batch processes under uncertainty.
Proceedings of the American Control Conference, 2014

Moving-horizon method for integrating scheduling and control.
Proceedings of the American Control Conference, 2014

2013
Sustainable scheduling of batch processes under economic and environmental criteria with MINLP models and algorithms.
Comput. Chem. Eng., 2013

Sustainable design and synthesis of hydrocarbon biorefinery via gasification pathway: Integrated life cycle assessment and technoeconomic analysis with multiobjective superstructure optimization.
Comput. Chem. Eng., 2013

Life cycle optimization for sustainable design and operations of hydrocarbon biorefinery via fast pyrolysis, hydrotreating and hydrocracking.
Comput. Chem. Eng., 2013

Integration of production scheduling and dynamic optimization for multi-product CSTRs: Generalized Benders decomposition coupled with global mixed-integer fractional programming.
Comput. Chem. Eng., 2013

Multicut Benders decomposition algorithm for process supply chain planning under uncertainty.
Ann. Oper. Res., 2013

A reformulation-linearization method for the global optimization of large-scale mixed-integer linear fractional programming problems and cyclic scheduling application.
Proceedings of the American Control Conference, 2013

Integration of planning, scheduling and stochastic inventory under uncertainty for flexible process networks.
Proceedings of the American Control Conference, 2013

Integration of scheduling and dynamic optimization for sequential batch processes.
Proceedings of the American Control Conference, 2013

Decomposition method for solving integrated problem of cyclic scheduling and PI controller design.
Proceedings of the American Control Conference, 2013

2012
Addressing the operational challenges in the development, manufacture, and supply of advanced materials and performance products.
Comput. Chem. Eng., 2012

Integration of scheduling and control with online closed-loop implementation: Fast computational strategy and large-scale global optimization algorithm.
Comput. Chem. Eng., 2012

Multiobjective optimization of hydrocarbon biorefinery supply chain designs under uncertainty.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Online integration of scheduling and control for cyclic production in CSTR.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Real-time scheduling of batch processes via agent-based modeling.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Oil spill response planning with consideration of physicochemical evolution of the oil slick: A multiobjective optimization approach.
Comput. Chem. Eng., 2011

2009
Dinkelbach's algorithm as an efficient method to solve a class of MINLP models for large-scale cyclic scheduling problems.
Comput. Chem. Eng., 2009

2008
Design of responsive supply chains under demand uncertainty.
Comput. Chem. Eng., 2008


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