Sifan Wang

According to our database, Sifan Wang authored at least 30 papers between 2019 and 2024.

Collaborative distances:

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

2024

PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks.

Sifan Wang, Bowen Li, Yuhan Chen, Paris Perdikaris

CoRR, 2024

2023

Long-time integration of parametric evolution equations with physics-informed DeepONets.

Sifan Wang, Paris Perdikaris

J. Comput. Phys., February, 2023

Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries.

Zhiwei Fang, Sifan Wang, Paris Perdikaris

CoRR, 2023

An Expert's Guide to Training Physics-informed Neural Networks.

Sifan Wang, Shyam Sankaran, Hanwen Wang, Paris Perdikaris

CoRR, 2023

PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems.

Shunyuan Mao, Ruobing Dong, Lu Lu, Kwang Moo Yi, Sifan Wang, Paris Perdikaris

CoRR, 2023

Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach.

Zhiwei Fang, Sifan Wang, Paris Perdikaris

CoRR, 2023

Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling.

Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne

Proceedings of the International Conference on Machine Learning, 2023

2022

Multi-Level Time-Frequency Bins Selection for Direction of Arrival Estimation Using a Single Acoustic Vector Sensor.

Jianhua Geng, Sifan Wang, Qinglai Liu, Xin Lou

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Dual-stream shadow detection network: biologically inspired shadow detection for remote sensing images.

Dawei Li, Sifan Wang, Shiyu Xiang, Jinsheng Li, Yanping Yang, Xue-Song Tang

Neural Comput. Appl., 2022

Fine-Grained Feature Enhancement for Object Detection in Remote Sensing Images.

Yong Zhou, Sifan Wang, Jiaqi Zhao, Hancheng Zhu, Rui Yao

IEEE Geosci. Remote. Sens. Lett., 2022

Improved Architectures and Training Algorithms for Deep Operator Networks.

Sifan Wang, Hanwen Wang, Paris Perdikaris

J. Sci. Comput., 2022

When and why PINNs fail to train: A neural tangent kernel perspective.

Sifan Wang, Xinling Yu, Paris Perdikaris

J. Comput. Phys., 2022

Random Weight Factorization Improves the Training of Continuous Neural Representations.

Sifan Wang, Hanwen Wang, Jacob H. Seidman, Paris Perdikaris

CoRR, 2022

Rethinking the Importance of Sampling in Physics-informed Neural Networks.

Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne

CoRR, 2022

Respecting causality is all you need for training physics-informed neural networks.

Sifan Wang, Shyam Sankaran, Paris Perdikaris

CoRR, 2022

A Slide-Save Based Framework for Multi-Source DOA Extraction with Closely Spaced Sources.

Jianhua Geng, Sifan Wang, Xin Lou

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks.

Sifan Wang, Yujun Teng, Paris Perdikaris

SIAM J. Sci. Comput., 2021

Deep learning of free boundary and Stefan problems.

Sifan Wang, Paris Perdikaris

J. Comput. Phys., 2021

Fast PDE-constrained optimization via self-supervised operator learning.

Sifan Wang, Mohamed Aziz Bhouri, Paris Perdikaris

CoRR, 2021

Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets.

Sifan Wang, Hanwen Wang, Paris Perdikaris

CoRR, 2021

Fully Convolutional Network-Based DOA Estimation with Acoustic Vector Sensor.

Sifan Wang, Jianhua Geng, Xin Lou

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

Reliable Intensity Vector Selection for Multi-Source Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor.

Jianhua Geng, Sifan Wang, Juan Li, Jingwei Li, Xin Lou

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Robust Multi-Source Direction of Arrival Estimation Using a Single Acoustic Vector Sensor.

Jianhua Geng, Sifan Wang, Juan Li, Jingwei Li, Xiangyu Zhang, Xin Lou

Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2021

2020

A Leaf Segmentation and Phenotypic Feature Extraction Framework for Multiview Stereo Plant Point Clouds.

Dawei Li, Guoliang Shi, Weijian Kong, Sifan Wang, Yang Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Double-stream atrous network for shadow detection.

Dawei Li, Sifan Wang, Xue-Song Tang, Weijian Kong, Guoliang Shi, Yang Chen

Neurocomputing, 2020

On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks.

Sifan Wang, Hanwen Wang, Paris Perdikaris

CoRR, 2020

Understanding and mitigating gradient pathologies in physics-informed neural networks.

Sifan Wang, Yujun Teng, Paris Perdikaris

CoRR, 2020

2019

Strong Internal-Cohesion-Polymerization-Based Integrated Fuzzy Classification on Feature Diffusion for Epileptic Electroencephalograms Signal.

Zhou Ta, Pingle Yang, Sifan Wang, Hang Hongjuan, Yanfang Zheng, Xuebao Li, Yuanpeng Zhang

J. Medical Imaging Health Informatics, 2019

An Integrated Image Filter for Enhancing Change Detection Results.

Dawei Li, Siyuan Yan, Xin Cai, Yan Cao, Sifan Wang

IEEE Access, 2019

An Overlapping-Free Leaf Segmentation Method for Plant Point Clouds.

Dawei Li, Yan Cao, Guoliang Shi, Xin Cai, Yang Chen, Sifan Wang, Siyuan Yan

IEEE Access, 2019