Xin-Yang Liu

According to our database, Xin-Yang Liu authored at least 8 papers between 2018 and 2025.

Collaborative distances:

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

2025

Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems.

Luning Sun, Xin-Yang Liu, Siyan Zhao, Aditya Grover, Jian-Xun Wang, Jayaraman J. Thiagarajan

CoRR, April, 2025

2024

CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields.

Xin-Yang Liu, Meet Hemant Parikh, Xiantao Fan, Pan Du, Qing Wang, Yi-Fan Chen, Jian-Xun Wang

CoRR, 2024

P²C²Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

CoRR, 2024

Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control.

Xin-Yang Liu, Dariush Bodaghi, Qian Xue, Xudong Zheng, Jian-Xun Wang

CoRR, 2024

P²C²Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Zeruizhi Cheng, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning.

Xin-Yang Liu, Hao Sun, Jian-Xun Wang

CoRR, 2022

2021

Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control.

Xin-Yang Liu, Jian-Xun Wang

CoRR, 2021

2018

Understanding Backers' Motivations and Perceptions of Information on Product-Based Crowdfunding Platforms.

Fang-Wu Tung, Xin-Yang Liu

Proceedings of the 6th International Symposium on Computational and Business Intelligence, 2018