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Guangxiang Zhu
Guangxiang Zhu
Verified email at mails.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Reconstructing spatial organizations of chromosomes through manifold learning
G Zhu, W Deng, H Hu, R Ma, S Zhang, J Yang, J Peng, T Kaplan, J Zeng
Nucleic acids research 46 (8), e50-e50, 2018
582018
Integrating Hi-C and FISH data for modeling of the 3D organization of chromosomes
A Abbas, X He, J Niu, B Zhou, G Zhu, T Ma, J Song, J Gao, MQ Zhang, ...
Nature communications 10 (1), 2049, 2019
562019
Offline reinforcement learning with reverse model-based imagination
J Wang, W Li, H Jiang, G Zhu, S Li, C Zhang
Advances in Neural Information Processing Systems 34, 29420-29432, 2021
442021
Episodic Reinforcement Learning with Associative Memory
Z Guangxiang, L Zichuan, Y Guangwen, Z Chongjie
Eighth International Conference on Learning Representations (ICLR 2020), 2020
41*2020
Object-oriented dynamics predictor
G Zhu, Z Huang, C Zhang
Advances in Neural Information Processing Systems 31, 2018
392018
Generalizable episodic memory for deep reinforcement learning
H Hu, J Ye, G Zhu, Z Ren, C Zhang
arXiv preprint arXiv:2103.06469, 2021
382021
Context-aware policy reuse
S Li, F Gu, G Zhu, C Zhang
arXiv preprint arXiv:1806.03793, 2018
352018
Bridging imagination and reality for model-based deep reinforcement learning
G Zhu, M Zhang, H Lee, C Zhang
Advances in Neural Information Processing Systems 33, 8993-9006, 2020
182020
On the estimation bias in double q-learning
Z Ren, G Zhu, H Hu, B Han, J Chen, C Zhang
Advances in Neural Information Processing Systems 34, 10246-10259, 2021
122021
Object-Oriented Dynamics Learning through Multi-Level Abstraction
Z Guangxiang, W Jianhao, R Zhizhou, Z Chongjie
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020
10*2020
Model-based reinforcement learning via imagination with derived memory
Y Mu, Y Zhuang, B Wang, G Zhu, W Liu, J Chen, P Luo, S Li, C Zhang, ...
Advances in Neural Information Processing Systems 34, 9493-9505, 2021
72021
Generative adversarial mapping networks
J Guo, G Zhu, J Li
arXiv preprint arXiv:1709.09820, 2017
32017
GEM: A manifold learning based framework for reconstructing spatial organizations of chromosomes
G Zhu, W Deng, H Hu, R Ma, S Zhang, J Yang, J Peng, T Kaplan, J Zeng
bioRxiv, 161208, 2017
12017
Object-Oriented Model Learning through Multi-Level Abstraction
G Zhu, J Wang, ZZ Ren, C Zhang
2018
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