501 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National University of Defense TechnologyCN4 papers
- Beijing Institute of TechnologyCN3 papers
- PLA Academy of Military ScienceCN3 papers
- Chinese Academy of SciencesCN2 papers
- Budapest University of Technology and EconomicsHU1 paper
- China Telecom1 paper
- China Telecom (China)CN1 paper
- Institute of Theoretical PhysicsCN1 paper
- Jiangxi Normal UniversityCN1 paper
- North China University of Water Resources and Electric PowerCN1 paper
- Peking UniversityCN1 paper
- RIKEN Center for Advanced Intelligence ProjectJP1 paper
14 papers
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?
Taiming Wang, Yuxia Zhang, Lin Jiang +3
Concise and meaningful method names are crucial for program comprehension and maintenance. However, method names may become inconsistent with their corresponding implementations, c…
Universal scaling relation and criticality in metabolism and growth of Escherichia coli
Shaohua Guan, Zhichao Zhang, Zihan Zhang +1
The metabolic network plays a crucial role in regulating bacterial metabolism and growth, but it is subject to inherent molecular stochasticity. Previous studies have utilized flux…
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator
Yanfang Lyu, Xiaoyu Zhao, Zhiqiang Gong +2
Data-driven prediction of fluid flow and temperature distribution in marine and aerospace engineering has received extensive research and demonstrated its potential in real-time pr…
RBF-MGN:Solving spatiotemporal PDEs with Physics-informed Graph Neural Network
Zixue Xiang, Wei Peng, Wen Yao
Physics-informed neural networks (PINNs) have lately received significant attention as a representative deep learning-based technique for solving partial differential equations (PD…
Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network
Xu Liu, Wen Yao, Xiaohu Zheng +1
In the complex multi-state system (MSS), reliability analysis is a significant research content, both for equipment design, manufacturing, usage and maintenance. Universal Generati…
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification
Zhiqiang Gong, Ping Zhong, Jiahao Qi +1
Deep Neural Networks have been successfully applied in hyperspectral image classification. However, most of prior works adopt general deep architectures while ignore the intrinsic…
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data
Xu Liu, Wen Yao, Wei Peng +1
Physics-informed extreme learning machine (PIELM) has recently received significant attention as a rapid version of physics-informed neural network (PINN) for solving partial diffe…
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks
Xu Liu, Wei Peng, Zhiqiang Gong +2
Temperature field inversion of heat-source systems (TFI-HSS) with limited observations is essential to monitor the system health. Although some methods such as interpolation have b…
A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source Systems
Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao +2
Temperature field reconstruction of heat source systems (TFR-HSS) with limited monitoring sensors occurred in thermal management plays an important role in real time health detecti…
Self-adaptive loss balanced Physics-informed neural networks for the incompressible Navier-Stokes equations
Zixue Xiang, Wei Peng, Xiaohu Zheng +2
There have been several efforts to Physics-informed neural networks (PINNs) in the solution of the incompressible Navier-Stokes fluid. The loss function in PINNs is a weighted sum…
Sparse Sampling Kaczmarz-Motzkin Method with Linear Convergence
Ziyang Yuan, Hui Zhang, Hongxia Wang
The randomized sparse Kaczmarz method was recently proposed to recover sparse solutions of linear systems. In this work, we introduce a greedy variant of the randomized sparse Kacz…
Channel Attention Residual U-Net for Retinal Vessel Segmentation
Changlu Guo, Márton Szemenyei, Yangtao Hu +3
Retinal vessel segmentation is a vital step for the diagnosis of many early eye-related diseases. In this work, we propose a new deep learning model, namely Channel Attention Resid…
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
Xiao Liu, Zhunchen Luo, Heyan Huang
Event extraction is of practical utility in natural language processing. In the real world, it is a common phenomenon that multiple events existing in the same sentence, where extr…
Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI
Yangsong Zhang, Erwei Yin, Fali Li +7
Canonical correlation analysis (CCA) is a state-of-the-art method for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) sys…