Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening. - Frank S. He; Yang Liu 097; Alexander G. Schwing; Jian Peng 001 (ICLR (Poster), 2017)

Stein Variational Policy Gradient. - Yang Liu 097; Prajit Ramachandran; Qiang Liu 001; Jian Peng 001 (UAI, 2017)

Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping. - Keyi Yu; Yang Liu 097; Alexander G. Schwing; Jian Peng 001 (ICLR (Workshop), 2018)

Energy-efficient Amortized Inference with Cascaded Deep Classifiers. - Jiaqi Guan; Yang Liu 097; Qiang Liu 001; Jian Peng 001 (IJCAI, 2018)

Deciphering Signaling Specificity with Deep Neural Networks. - Yunan Luo; Jianzhu Ma; Yang Liu 097; Qing Ye; Trey Ideker; Jian Peng 001 (RECOMB, 2018)

Learning structural motif representations for efficient protein structure search. - Yang Liu 097; Qing Ye; Liwei Wang 009; Jian Peng 001 (Bioinform., 2018)

Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning. - Yunan Luo; Jianzhu Ma; Xiaoming Zhao 001; Yufeng Su; Yang Liu 097; Trey Ideker; Jian Peng 001 (RECOMB, 2019)

Stochastic Variance Reduction for Deep Q-learning. - Wei-Ye Zhao; Xiya Guan; Yang Liu 097; Xiaoming Zhao 001; Jian Peng 001 (CoRR, 2019)

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning. - Yang Liu 097; Yunan Luo; Yuanyi Zhong; Xi Chen; Qiang Liu 001; Jian Peng 001 (CoRR, 2019)

Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction. - Yufeng Su; Yunan Luo; Xiaoming Zhao 001; Yang Liu 097; Jian Peng 001 (PLoS Comput. Biol., 2019)

Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering. - Yunan Luo; Lam Vo; Hantian Ding; Yufeng Su; Yang Liu 097; Wesley Wei Qian; Huimin Zhao 007; Jian Peng 001 (RECOMB, 2020)

Calibrated geometric deep learning improves kinase-drug binding predictions. - Yunan Luo; Yang Liu 097; Jian Peng 001 (Nat. Mac. Intell., 2023)