Yinghua Liu - RankMe

18 papers C 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Energy Method with Large Language Model assistance: an open-source Streamlit-based platform for solving variational PDEs. CoRR Yizheng Wang, Cosmin Anitescu, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu
2026	J	`jnl`	Pretrain Finite Element Method: A Pretraining and Warm-start Framework for PDEs via Physics-Informed Neural Operators. CoRR Yizheng Wang, Zhongkai Hao, Mohammad Sadegh Eshaghi, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu
2025	J	`jnl`	Physics-informed Machine Learning for Static Friction Modeling in Robotic Manipulators Based on Kolmogorov-Arnold Networks. CoRR Yizheng Wang, Timon Rabczuk, Yinghua Liu
2025	J	`jnl`	Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation. CoRR Yizheng Wang, Jinshuai Bai, Mohammad Sadegh Eshaghi, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu
2024	J	`jnl`	Artificial intelligence for partial differential equations in computational mechanics: A review. CoRR 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
2024	J	`jnl`	Energy-based physics-informed neural network for frictionless contact problems under large deformation. CoRR Jinshuai Bai, Zhongya Lin, Yizheng Wang, Jiancong Wen, Yinghua Liu, Timon Rabczuk, Yuantong Gu, Xi-Qiao Feng
2024	J	`jnl`	HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators. CoRR Yizheng Wang, Xiang Li, Ziming Yan, Yuqing Du, Jinshuai Bai, Bokai Liu, Timon Rabczuk, Yinghua Liu
2024	J	`jnl`	Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks. CoRR Yizheng Wang, Jia Sun, Jinshuai Bai, Cosmin Anitescu, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu
2023	J	`jnl`	AddCR: a data-driven cartoon remastering. Vis. Comput. Yinghua Liu, Chengze li, Xueting Liu, Huisi Wu, Zhenkun Wen
2023	J	`jnl`	BINN: A deep learning approach for computational mechanics problems based on boundary integral equations. CoRR Jia Sun, Yinghua Liu, Yizheng Wang, Zhenhan Yao, Xiaoping Zheng
2023	J	`jnl`	DCM: Deep complementary energy method based on the principle of minimum complementary energy. CoRR Yizheng Wang, Jia Sun, Zaiyuan Lu, Pipi Hu, Yinghua Liu
2022	J	`jnl`	An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests. Biomed. Signal Process. Control. Zhongjun Lin, Yinghua Liu, Hui Wang, Zhengji Liu, Sijin Cai, Zhicheng Zheng, Yongjin Zhou, Xinyu Zhang
2022	J	`jnl`	Corrigendum to "An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests" [Biomed. Signal Process. Control 74 (2022) 103521]. Biomed. Signal Process. Control. Zhongjun Lin, Yinghua Liu, Hui Wang, Zhengji Liu, Sijin Cai, Zhicheng Zheng, Yongjin Zhou, Xinyu Zhang
2022	J	`jnl`	PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my". CoRR Yizheng Wang, Yinghua Liu
2021	J	`jnl`	CENN: Conservative energy method based on neural network with subdomains for solving heterogeneous problems involving complex geometries. CoRR Yizheng Wang, Jia Sun, Xiang Li, Yinghua Liu
2020	—	`conf`	Time Series Data Reconstruction Method Based on Probability Statistics and Machine Learning. ICMTEL (2) Haiying Chen, Yinghua Liu
2014	C	`conf`	Using O-D estimation in dynamic road network traffic flow simulation. ICIS Liuqing Yang, Gang Zong, Yinghua Liu
2013	—	`conf`	A Novel Approach to Reduce the Storage Amount and Load of Geolocation Database. VTC Fall Xiao Jin, Qixun Zhang, Zhiyong Feng, Yifan Zhang, Yinghua Liu