| 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 | 70 | 2019 |
| 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 | 65 | 2021 |
| 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 | 62 | 2018 |
| Episodic Reinforcement Learning with Associative Memory Z Guangxiang, L Zichuan, Y Guangwen, Z Chongjie Eighth International Conference on Learning Representations (ICLR 2020), 2020 | 52* | 2020 |
| Generalizable episodic memory for deep reinforcement learning H Hu, J Ye, G Zhu, Z Ren, C Zhang arXiv preprint arXiv:2103.06469, 2021 | 44 | 2021 |
| Object-oriented dynamics predictor G Zhu, Z Huang, C Zhang Advances in Neural Information Processing Systems 31, 2018 | 43 | 2018 |
| Context-aware policy reuse S Li, F Gu, G Zhu, C Zhang arXiv preprint arXiv:1806.03793, 2018 | 40 | 2018 |
| 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 | 25 | 2021 |
| 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 | 20 | 2020 |
| 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 | 12* | 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 | 8 | 2021 |
| Generative adversarial mapping networks J Guo, G Zhu, J Li arXiv preprint arXiv:1709.09820, 2017 | 3 | 2017 |
| 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 | 1 | 2017 |
| Object-Oriented Model Learning through Multi-Level Abstraction G Zhu, J Wang, ZZ Ren, C Zhang | | |
