Risk Assessment and Online Forewarning of Oil & Gas Storage and Transportation Facilities Based on Data Mining. - Tianteng Wang; Tong Li; Yingzhi Xia; Zexi Zhang; Shikai Jin (KES, 2017)

Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems. - Yingzhi Xia; Nicholas Zabaras (J. Comput. Phys., 2022)

A domain-decomposed VAE method for Bayesian inverse problems. - Zhihang Xu; Yingzhi Xia; Qifeng Liao (CoRR, 2023)

A deep domain decomposition method based on Fourier features. - Sen Li; Yingzhi Xia; Yu Liu; Qifeng Liao (J. Comput. Appl. Math., 2023)

VI-DGP: A Variational Inference Method with Deep Generative Prior for Solving High-Dimensional Inverse Problems. - Yingzhi Xia; Qifeng Liao; Jinglai Li (J. Sci. Comput., 2023)

Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. - Yanyu Xu; Yingzhi Xia; Huazhu Fu; Rick Siow Mong Goh; Yong Liu 026; Xinxing Xu (MICCAI (9), 2024)

Tailoring Generative Adversarial Networks for Smooth Airfoil Design. - Joyjit Chattoraj; Jian Cheng Wong; Zhang Zexuan; Manna Dai; Yingzhi Xia; Li Jichao; Xinxing Xu; Chin Chun Ooi; Yang Feng; My Ha Dao; Yong Liu 026 (CoRR, 2024)

A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design. - Manna Dai; Yang Jiang; Feng Yang 011; Joyjit Chattoraj; Yingzhi Xia; Xinxing Xu; Weijiang Zhao; My Ha Dao; Yong Liu 026 (Neural Networks, 2024)

MDDIP: Efficient single-layer pixel-based metasurface denoising via deep image prior. - Manna Dai; Yang Jiang; Feng Yang 011; Joyjit Chattoraj; Yingzhi Xia; Xinxing Xu; Weijiang Zhao; My Ha Dao; Yong Liu 026 (Knowl. Based Syst., 2025)