Yingzhi Xia - RankMe

13 papers B 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MDDIP: Efficient single-layer pixel-based metasurface denoising via deep image prior. Knowl. Based Syst. Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu
2024	J	`jnl`	A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design. CoRR Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu
2024	J	`jnl`	A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design. Neural Networks Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu
2024	—	`conf`	Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. MICCAI (9) Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu
2024	J	`jnl`	Tailoring Generative Adversarial Networks for Smooth Airfoil Design. CoRR 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
2023	J	`jnl`	A deep domain decomposition method based on Fourier features. J. Comput. Appl. Math. Sen Li, Yingzhi Xia, Yu Liu, Qifeng Liao
2023	J	`jnl`	A domain-decomposed VAE method for Bayesian inverse problems. CoRR Zhihang Xu, Yingzhi Xia, Qifeng Liao
2023	J	`jnl`	VI-DGP: A Variational Inference Method with Deep Generative Prior for Solving High-Dimensional Inverse Problems. J. Sci. Comput. Yingzhi Xia, Qifeng Liao, Jinglai Li
2023	J	`jnl`	VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems. CoRR Yingzhi Xia, Qifeng Liao, Jinglai Li
2022	J	`jnl`	A deep domain decomposition method based on Fourier features. CoRR Sen Li, Yingzhi Xia, Yu Liu, Qifeng Liao
2022	J	`jnl`	Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems. J. Comput. Phys. Yingzhi Xia, Nicholas Zabaras
2021	J	`jnl`	Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems. CoRR Yingzhi Xia, Nicholas Zabaras
2017	B	`conf`	Risk Assessment and Online Forewarning of Oil & Gas Storage and Transportation Facilities Based on Data Mining. KES Tianteng Wang, Tong Li, Yingzhi Xia, Zexi Zhang, Shikai Jin