Qinghe Gao

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Artur M. SchweidtmannDelft University of Technology, Department of Chemical EngineeringVerified email at tudelft.nl
Laura StopsTechnische Universität München (TUM)Verified email at tum.de
Roel LeenhoutsPhD student, KU LeuvenVerified email at kuleuven.be
Jan G. RittigRWTH Aachen University, Aachener Verfahrenstechnik, Lehrstuhl für SystemverfahrenstechnikVerified email at rwth-aachen.de
Lukas Schulze BalhornDelft University of Technology, Department of Chemical EngineeringVerified email at tudelft.nl
Maximilian F. TheisenDelft University of Technology, Department of Chemical EngineeringVerified email at tudelft.nl
T. Anderson KellerResearch Fellow, Kempner Institute at Harvard University

Qinghe Gao

Verified email at tudelft.nl


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Flowsheet generation through hierarchical reinforcement learning and graph neural networks L Stops, R Leenhouts, Q Gao, AM Schweidtmann AIChE Journal 69 (1), e17938, 2023	17*	2023
Graph Neural Networks for the Prediction of Molecular Structure–Property Relationships JG Rittig, Q Gao, M Dahmen, A Mitsos, AM Schweidtmann	11	2023
Modeling category-selective cortical regions with topographic variational autoencoders TA Keller, Q Gao, M Welling arXiv preprint arXiv:2110.13911, 2021	11	2021
Flowsheet recognition using deep convolutional neural networks LS Balhorn, Q Gao, D Goldstein, AM Schweidtmann Computer Aided Chemical Engineering 49, 1567-1572, 2022	7	2022
Transfer learning for process design with reinforcement learning Q Gao, H Yang, SM Shanbhag, AM Schweidtmann Computer Aided Chemical Engineering 52, 2005-2010, 2023	4	2023
Deep reinforcement learning for process design: Review and perspective Q Gao, AM Schweidtmann Current Opinion in Chemical Engineering 44, 101012, 2024	2	2024
MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept M Tkáč, J Sieber, L Kuhlmann, M Brueggenolte, A Rinciog, M Henke, ... arXiv preprint arXiv:2401.16291, 2024		2024
Flowsheet Synthesis through Graph-Based Reinforcement Learning R Leenhouts, L Stops, SM Shanbhag, Q Gao, A Schweidtmann AIChE Annual Meeting, Location: Phoenix, 2022		2022

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