Yinghua Liu

According to our database, Yinghua Liu authored at least 21 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Changes Matter: Digital Transformation, Resource Constraints, and ESG Performance in China.

Zhongbo Jing, Guowen Li, Yinghua Liu, Jun Zhou, Xinge Zhou

J. Syst. Sci. Complex., June, 2026

Causation-guided mechanism identification and interpretable reduced-order modeling of damage-driving grain-boundary stress in creep.

Weichen Kong, Yanwei Dai, Yinglin Zhang, Yinghua Liu

CoRR, May, 2026

Replay-Based Continual Learning for Physics-Informed Neural Operators.

Yizheng Wang, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu

CoRR, May, 2026

Deep Energy Method with Large Language Model assistance: an open-source Streamlit-based platform for solving variational PDEs.

Yizheng Wang, Cosmin Anitescu, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu

CoRR, February, 2026

Pretrain Finite Element Method: A Pretraining and Warm-start Framework for PDEs via Physics-Informed Neural Operators.

Yizheng Wang, Zhongkai Hao, Mohammad Sadegh Eshaghi, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu

CoRR, January, 2026

2025

Physics-informed Machine Learning for Static Friction Modeling in Robotic Manipulators Based on Kolmogorov-Arnold Networks.

Yizheng Wang, Timon Rabczuk, Yinghua Liu

CoRR, November, 2025

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, February, 2025

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

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

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

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

2023

AddCR: a data-driven cartoon remastering.

Yinghua Liu, Chengze Li, Xueting Liu, Huisi Wu, Zhenkun Wen

Vis. Comput., August, 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

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

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

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, Xinyu Zhang

Biomed. Signal Process. Control., 2022

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, Xinyu Zhang

Biomed. Signal Process. Control., 2022

2021

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

2020

Time Series Data Reconstruction Method Based on Probability Statistics and Machine Learning.

Haiying Chen, Yinghua Liu

Proceedings of the Multimedia Technology and Enhanced Learning, 2020

2014

Using O-D estimation in dynamic road network traffic flow simulation.

Liuqing Yang, Gang Zong, Yinghua Liu

Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014

2013

A Novel Approach to Reduce the Storage Amount and Load of Geolocation Database.

Xiao Jin, Qixun Zhang, Zhiyong Feng, Yifan Zhang, Yinghua Liu

Proceedings of the 78th IEEE Vehicular Technology Conference, 2013