Yang Liu

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 14

Top Topics

Reinforcement Learning

Protein Structural

Policy Gradient

Top Venues

ICLR (Workshop)

Publications

Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian, Huimin Zhao, Jian Peng
Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering. RECOMB (2020)
Wei-Ye Zhao, Xiya Guan, Yang Liu, Xiaoming Zhao, Jian Peng
Stochastic Variance Reduction for Deep Q-learning. CoRR (2019)
Yufeng Su, Yunan Luo, Xiaoming Zhao, Yang Liu, Jian Peng
Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction. PLoS Comput. Biol. 15 (9) (2019)
Yunan Luo, Jianzhu Ma, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker, Jian Peng
Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning. RECOMB (2019)
Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning. CoRR (2019)
Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
Energy-efficient Amortized Inference with Cascaded Deep Classifiers. IJCAI (2018)
Keyi Yu, Yang Liu, Alexander G. Schwing, Jian Peng
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping. ICLR (Workshop) (2018)
Yunan Luo, Jianzhu Ma, Yang Liu, Qing Ye, Trey Ideker, Jian Peng
Deciphering Signaling Specificity with Deep Neural Networks. RECOMB (2018)
Yang Liu, Qing Ye, Liwei Wang, Jian Peng
Learning structural motif representations for efficient protein structure search. Bioinform. 34 (17) (2018)
Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening. ICLR (Poster) (2017)
Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng
Stein Variational Policy Gradient. CoRR (2017)
Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
Energy-efficient Amortized Inference with Cascaded Deep Classifiers. CoRR (2017)
Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng
Stein Variational Policy Gradient. UAI (2017)
Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening. CoRR (2016)