A Novel Approach to Reduce the Storage Amount and Load of Geolocation Database. - Xiao Jin; Qixun Zhang; Zhiyong Feng 001; Yifan Zhang 003; Yinghua Liu (VTC Fall, 2013)

Using O-D estimation in dynamic road network traffic flow simulation. - Liuqing Yang; Gang Zong; Yinghua Liu (ICIS, 2014)

Time Series Data Reconstruction Method Based on Probability Statistics and Machine Learning. - Haiying Chen; Yinghua Liu (ICMTEL (2), 2020)

CENN: Conservative energy method based on neural network with subdomains for solving heterogeneous problems involving complex geometries. - Yizheng Wang; Jia Sun; Xiang Li; Yinghua Liu (CoRR, 2021)

An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests. - Zhongjun Lin; Yinghua Liu; Hui Wang; Zhengji Liu; Sijin Cai; Zhicheng Zheng; Yongjin Zhou 002; Xinyu Zhang (Biomed. Signal Process. Control., 2022)

Corrigendum to "An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests" [Biomed. Signal Process. Control 74 (2022) 103521]. - Zhongjun Lin; Yinghua Liu; Hui Wang; Zhengji Liu; Sijin Cai; Zhicheng Zheng; Yongjin Zhou 002; Xinyu Zhang (Biomed. Signal Process. Control., 2022)

PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my". - Yizheng Wang; Yinghua Liu (CoRR, 2022)

BINN: A deep learning approach for computational mechanics problems based on boundary integral equations. - Jia Sun; Yinghua Liu; Yizheng Wang; Zhenhan Yao; Xiaoping Zheng (CoRR, 2023)

DCM: Deep complementary energy method based on the principle of minimum complementary energy. - Yizheng Wang; Jia Sun; Zaiyuan Lu; Pipi Hu; Yinghua Liu (CoRR, 2023)

AddCR: a data-driven cartoon remastering. - Yinghua Liu; Chengze Li; Xueting Liu 001; Huisi Wu; Zhenkun Wen (Vis. Comput., 2023)

HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators. - Yizheng Wang; Xiang Li; Ziming Yan; Yuqing Du; Jinshuai Bai; Bokai Liu; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks. - Yizheng Wang; Jia Sun; Jinshuai Bai; Cosmin Anitescu; Mohammad Sadegh Eshaghi; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

Artificial intelligence for partial differential equations in computational mechanics: A review. - Yizheng Wang; Jinshuai Bai; Zhongya Lin; Qimin Wang; Cosmin Anitescu; Jia Sun; Mohammad Sadegh Eshaghi; Yuantong Gu; Xi-Qiao Feng; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

Energy-based physics-informed neural network for frictionless contact problems under large deformation. - Jinshuai Bai; Zhongya Lin; Yizheng Wang; Jiancong Wen; Yinghua Liu; Timon Rabczuk; Yuantong Gu; Xi-Qiao Feng (CoRR, 2024)

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation. - Yizheng Wang; Jinshuai Bai; Mohammad Sadegh Eshaghi; Cosmin Anitescu; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2025)