Aye Phyu Phyu Aung

According to our database, Aye Phyu Phyu Aung authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models.

Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath

CoRR, 2024

XMOL: Explainable Multi-property Optimization of Molecules.

Aye Phyu Phyu Aung, Jay Chaudhary, Ji Wei Yoon, Senthilnath Jayavelu

CoRR, 2024

U-TELL: Unsupervised Task Expert Lifelong Learning.

Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu

CoRR, 2024

Self-evolving Autoencoder Embedded Q-Network.

J. Senthilnath, Bangjian Zhou, Zhen Wei Ng, Deeksha Aggarwal, Rajdeep Dutta, Ji Wei Yoon, Aye Phyu Phyu Aung, Keyu Wu, Min Wu, Xiaoli Li

CoRR, 2024

2022

Solving large-scale planning and deep learning problems

Aye Phyu Phyu Aung

PhD thesis, 2022

Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning.

Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An

Neurocomputing, 2022

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks.

Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions.

Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li

Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020