متابعة
Qinghe Gao
Qinghe Gao
Delft university of technology
بريد إلكتروني تم التحقق منه على tudelft.nl
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Flowsheet generation through hierarchical reinforcement learning and graph neural networks‏
L Stops, R Leenhouts, Q Gao, AM Schweidtmann‏
AIChE Journal 69 (1), e17938, 2023‏
36*2023
Deep reinforcement learning for process design: Review and perspective‏
Q Gao, AM Schweidtmann‏
Current Opinion in Chemical Engineering 44, 101012, 2024‏
182024
Graph Neural Networks for the Prediction of Molecular Structure–Property Relationships‏
JG Rittig, Q Gao, M Dahmen, A Mitsos, AM Schweidtmann‏
182023
Modeling category-selective cortical regions with topographic variational autoencoders‏
TA Keller, Q Gao, M Welling‏
arXiv preprint arXiv:2110.13911, 2021‏
172021
Transfer learning for process design with reinforcement learning‏
Q Gao, H Yang, SM Shanbhag, AM Schweidtmann‏
Computer Aided Chemical Engineering 52, 2005-2010, 2023‏
102023
Flowsheet recognition using deep convolutional neural networks‏
LS Balhorn, Q Gao, D Goldstein, AM Schweidtmann‏
Computer Aided Chemical Engineering 49, 1567-1572, 2022‏
72022
Self-supervised graph neural networks for polymer property prediction‏
Q Gao, T Dukker, AM Schweidtmann, JM Weber‏
Molecular Systems Design & Engineering 9 (11), 1130-1143, 2024‏
12024
Teaching machine learning to programming novices: an action-oriented didactic concept‏
M Tkáč, J Sieber, A Meyer, L Kuhlmann, M Brueggenolte, A Rinciog, ...‏
IDIMT-2024: Changes to ICT, Management, and Business Processes through AI, 2024‏
2024
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مقالات 1–8