Understanding Backers' Motivations and Perceptions of Information on Product-Based Crowdfunding Platforms. - Fang-Wu Tung; Xin-Yang Liu (ISCBI, 2018)

Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control. - Xin-Yang Liu; Jian-Xun Wang 001 (CoRR, 2021)

Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning. - Xin-Yang Liu; Hao Sun 002; Jian-Xun Wang 001 (CoRR, 2022)

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 002; Zidong Wang 010; Jian-Xun Wang 001; Ji-Rong Wen; Hao Sun 002; et al. (NeurIPS, 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 001 (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 002; Zidong Wang 010; Jian-Xun Wang 001; Ji-Rong Wen; Hao Sun 002; et al. (CoRR, 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 001 (CoRR, 2024)

Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems. - Luning Sun; Xin-Yang Liu; Siyan Zhao; Aditya Grover; Jian-Xun Wang 001; Jayaraman J. Thiagarajan (CoRR, 2025)