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2020 – today
- 2024
[i4]Zhi-Qin John Xu, Junjie Yao, Yuxiao Yi, Liangkai Hang, Weinan E, Yaoyu Zhang, Tianhan Zhang:
Solving multiscale dynamical systems by deep learning. CoRR abs/2401.01220 (2024)- 2023
- [j1]Runze Mao
, Minqi Lin, Yan Zhang, Tianhan Zhang, Zhi-Qin John Xu, Zhi X. Chen:
DeepFlame: A deep learning empowered open-source platform for reacting flow simulations. Comput. Phys. Commun. 291: 108842 (2023) - [c2]Tianhan Zhang, Juan Yu, Jianmin Han, Hao Peng, Sheng Qiu:
PGAN-KD:Member Privacy Protection of GANs Based on Knowledge Distillation. IEEE Big Data 2023: 1380-1385 - 2022
- [c1]Tianhan Zhang, Xingli Zhai, Weiqiang Qiu, Ting Lv, Zhenzhi Lin, Li Yang:
Robust-Based Market Bidding Strategy and Profit Allocation Method for the Alliance of Wind Power Generators Considering Shared Energy Storage. SSCI 2022: 1356-1361 - [i3]Zhiwei Wang, Yaoyu Zhang, Yiguang Ju, Weinan E, Zhi-Qin John Xu, Tianhan Zhang:
A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics. CoRR abs/2201.02025 (2022) - [i2]Tianhan Zhang, Yuxiao Yi, Yifan Xu, Zhi X. Chen, Yaoyu Zhang, Weinan E, Zhi-Qin John Xu:
A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics. CoRR abs/2201.03549 (2022) - 2020
- [i1]Tianhan Zhang, Yaoyu Zhang, Weinan E, Yiguang Ju:
A deep learning-based ODE solver for chemical kinetics. CoRR abs/2012.12654 (2020)
Coauthor Index
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