A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout. - Xianqi Chen; Xiaoyu Zhao 002; Zhiqiang Gong; Jun Zhang 052; Weien Zhou; Xiaoqian Chen; Wen Yao 001 (CoRR, 2021)

IDRLnet: A Physics-Informed Neural Network Library. - Wei Peng 010; Jun Zhang 052; Weien Zhou; Xiaoyu Zhao 002; Wen Yao 001; Xiaoqian Chen (CoRR, 2021)

TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems. - Xiaoqian Chen; Zhiqiang Gong; Xiaoyu Zhao 002; Weien Zhou; Wen Yao 001 (CoRR, 2021)

Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision. - Yunyang Zhang; Zhiqiang Gong; Xiaoyu Zhao 002; Xiaohu Zheng; Wen Yao 001 (ACCV (7), 2022)

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. - Xiaohu Zheng; Wen Yao 001; Zhiqiang Gong; Yunyang Zhang; Xiaoyu Zhao 002; Tingsong Jiang (IJCNN, 2022)

A deep learning method based on patchwise training for reconstructing temperature field. - Xingwen Peng; Xingchen Li; Zhiqiang Gong; Xiaoyu Zhao 002; Wen Yao 001 (CoRR, 2022)

Semi-supervision semantic segmentation with uncertainty-guided self cross supervision. - Yunyang Zhang; Zhiqiang Gong; Xiaohu Zheng; Xiaoyu Zhao 002; Wen Yao 001 (CoRR, 2022)

A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction. - Xiaoyu Zhao 002; Zhiqiang Gong; Xiaoqian Chen; Wen Yao 001; Yunyang Zhang (IJCNN, 2023)

RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator. - Xiaoyu Zhao 002; Xiaoqian Chen; Zhiqiang Gong; Weien Zhou; Wen Yao 001; Yunyang Zhang (CoRR, 2023)

Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator. - Yanfang Lyu; Xiaoyu Zhao 002; Zhiqiang Gong; Xiao Kang; Wen Yao 001 (CoRR, 2023)

Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. - Yunyang Zhang; Zhiqiang Gong; Weien Zhou; Xiaoyu Zhao 002; Xiaohu Zheng; Wen Yao 001 (Eng. Appl. Artif. Intell., 2023)

Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data. - Xiaoyu Zhao 002; Zhiqiang Gong; Yunyang Zhang; Wen Yao 001; Xiaoqian Chen (Eng. Appl. Artif. Intell., 2023)

A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. - Xiaoqian Chen; Zhiqiang Gong; Xiaoyu Zhao 002; Weien Zhou; Wen Yao 001 (Sci. China Inf. Sci., 2023)

Uncertainty guided ensemble self-training for semi-supervised global field reconstruction. - Yunyang Zhang; Zhiqiang Gong; Xiaoyu Zhao 002; Wen Yao 001 (Complex Intell. Syst., 2024)

A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction. - Xiaoyu Zhao 002; Xiaoqian Chen; Zhiqiang Gong; Wen Yao 001; Yunyang Zhang (Expert Syst. Appl., 2024)

Contrastive enhancement using latent prototype for few-shot segmentation. - Xiaoyu Zhao 002; Xiaoqian Chen; Zhiqiang Gong; Wen Yao 001; Yunyang Zhang; Xiaohu Zheng (Digit. Signal Process., 2024)