Interpretable Geometric Deep Learning via Learnable Randomness Injection

1 code implementation • 30 Oct 2022 • Siqi Miao, Yunan Luo, Mia Liu, Pan Li

LRI-induced models, once trained, can detect the points in the point cloud data that carry information indicative of the prediction label.

Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity

no code implementations • 28 Aug 2020 • Xianggen Liu, Yunan Luo, Sen Song, Jian Peng

Modeling the effects of mutations on the binding affinity plays a crucial role in protein engineering and drug design.

Protein Design

DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network

1 code implementation • 9 Nov 2019 • Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang

The average accuracy is 93. 56%, compared with 85. 36% from CFMask.

Cloud Detection Shadow Detection

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning

1 code implementation • 31 May 2019 • Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng

Recent advances in deep reinforcement learning algorithms have shown great potential and success for solving many challenging real-world problems, including Go game and robotic applications.

reinforcement-learning Reinforcement Learning (RL)