Fengqi You
Orcid: 0000-0001-9609-4299
According to our database1,
Fengqi You
authored at least 119 papers
between 2008 and 2025.
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Bibliography
2025
Leveraging generative models with periodicity-aware, invertible and invariant representations for crystalline materials design.
Nat. Comput. Sci., May, 2025
Physics-informed machine learning for building performance simulation-A review of a nascent field.
CoRR, April, 2025
Source Data for: Generative learning of morphological and contrast heterogeneities for self-supervised electron micrograph segmentation.
Dataset, March, 2025
Non-Iterative Coordination of Interconnected Power Grids via Dimension-Decomposition-Based Flexibility Aggregation.
CoRR, February, 2025
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon.
CoRR, February, 2025
De Novo Design of Multiple Microplastic-Binding Peptides with a Protein Language Model-Guided Generative Adversarial Network.
J. Chem. Inf. Model., 2025
3D plant phenotyping from a single image: learning fine-scale organ morphology with monocular depth estimation.
Comput. Electron. Agric., 2025
Computer-aided molecular design by aligning generative diffusion models: Perspectives and challenges.
Comput. Chem. Eng., 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
2024
Application of Robust Model Predictive Control Using Principal Component Analysis to an Industrial Thickener.
IEEE Trans. Control. Syst. Technol., May, 2024
J. Chem. Inf. Model., 2024
Comput. Chem. Eng., 2024
Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks.
Comput. Chem. Eng., 2024
Energy Scheduling and Control of Grid-Interactive Communities with Physically Consistent Deep Learning.
Proceedings of the American Control Conference, 2024
Multi-agent Deep Reinforcement Learning for Energy Management in Grid-Responsive Networked Greenhouses.
Proceedings of the American Control Conference, 2024
2023
Attention Based Multi-Agent Reinforcement Learning for Demand Response in Grid-Responsive Buildings.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
Model Predictive Control for Distributed Energy Systems Management in Electrifying Buildings: carbon emission reduction in response to dynamic electricity price and carbon intensity.
Proceedings of the American Control Conference, 2023
Thermal Comfort Control on Sustainable Building via Data-Driven Robust Model Predictive Control.
Proceedings of the American Control Conference, 2023
2022
Semiclosed Greenhouse Climate Control Under Uncertainty via Machine Learning and Data-Driven Robust Model Predictive Control.
IEEE Trans. Control. Syst. Technol., 2022
Model Predictive Control for Price-Based Demand-Responsive Building Control by Leveraging Active Latent Heat Storage.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Robust Unit Commitment Optimization under Volatile Wind Power Outputs Assisted by Clustering-based Data-Driven Techniques.
Proceedings of the American Control Conference, 2022
Hybrid Physics-based and Data-driven Model Predictive Control for Multi-Zone Building's Thermal Comfort Under Disjunctive Uncertainty.
Proceedings of the American Control Conference, 2022
Deep Reinforcement Learning based Solution Approach for Unit Commitment under Demand and Wind Power Uncertainty.
Proceedings of the American Control Conference, 2022
Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems.
Proceedings of the American Control Conference, 2022
2021
IEEE Trans. Autom. Control., 2021
Online learning based risk-averse stochastic MPC of constrained linear uncertain systems.
Autom., 2021
Data-Driven Ambiguous Joint Chance Constrained Economic Dispatch with Correlated Wind Power Uncertainty.
Proceedings of the 2021 American Control Conference, 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
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
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
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
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
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
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
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
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
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
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
Proceedings of the 2014 Winter Simulation Conference, 2014
Proceedings of the 2014 Winter Simulation Conference, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
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
Proceedings of the American Control Conference, 2014
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
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
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
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
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
Comput. Chem. Eng., 2008