Topical word embeddings Y Liu, Z Liu, TS Chua, M Sun Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 569 | 2015 |
Stein variational policy gradient Y Liu, P Ramachandran, Q Liu, J Peng arXiv preprint arXiv:1704.02399, 2017 | 158 | 2017 |
Enhancing evolutionary couplings with deep convolutional neural networks Y Liu, P Palmedo, Q Ye, B Berger, J Peng Cell systems 6 (1), 65-74. e3, 2018 | 142 | 2018 |
ECNet is an evolutionary context-integrated deep learning framework for protein engineering Y Luo, G Jiang, T Yu, Y Liu, L Vo, H Ding, Y Su, WW Qian, H Zhao, J Peng Nature communications 12 (1), 5743, 2021 | 134 | 2021 |
Learning to play in a day: Faster deep reinforcement learning by optimality tightening FS He, Y Liu, AG Schwing, J Peng arXiv preprint arXiv:1611.01606, 2016 | 99 | 2016 |
Sequence modeling of temporal credit assignment for episodic reinforcement learning Y Liu, Y Luo, Y Zhong, X Chen, Q Liu, J Peng arXiv preprint arXiv:1905.13420, 2019 | 43 | 2019 |
Learning structural motif representations for efficient protein structure search Y Liu, Q Ye, L Wang, J Peng Bioinformatics 34 (17), i773-i780, 2018 | 38 | 2018 |
Energy-efficient amortized inference with cascaded deep classifiers J Guan, Y Liu, Q Liu, J Peng arXiv preprint arXiv:1710.03368, 2017 | 31 | 2017 |
Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction Y Su, Y Luo, X Zhao, Y Liu, J Peng PLoS computational biology 15 (9), e1007283, 2019 | 25 | 2019 |
Fast and accurate text classification: Skimming, rereading and early stopping K Yu, Y Liu, AG Schwing, J Peng | 22 | 2018 |
Evolutionary context-integrated deep sequence modeling for protein engineering Y Luo, L Vo, H Ding, Y Su, Y Liu, WW Qian, H Zhao, J Peng Research in Computational Molecular Biology: 24th Annual International …, 2020 | 19 | 2020 |
Stochastic variance reduction for deep Q-learning WY Zhao, XY Guan, Y Liu, X Zhao, J Peng arXiv preprint arXiv:1905.08152, 2019 | 15 | 2019 |
Calibrated geometric deep learning improves kinase–drug binding predictions Y Luo, Y Liu, J Peng Nature Machine Intelligence 5 (12), 1390-1401, 2023 | 13 | 2023 |
Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning. Y Luo, J Ma, X Zhao, Y Su, Y Liu, T Ideker, J Peng RECOMB, 305-307, 2019 | 10 | 2019 |
Deciphering Signaling Specificity with Deep Neural Networks. Y Luo, J Ma, Y Liu, Q Ye, T Ideker, J Peng RECOMB, 266-268, 2018 | 2 | 2018 |