Sifan Wang

Orcid: 0009-0008-0842-2044

According to our database1, Sifan Wang authored at least 36 papers between 2019 and 2024.

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Bibliography

2024
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries.
Neural Comput., March, 2024

A 0.73 mW low power 9.6 GHz LC voltage-controlled oscillator achieves constant KVCO and -189.2 FOM.
Microelectron. J., 2024

Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials.
CoRR, 2024

Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems.
CoRR, 2024

The Key of Parameter Skew in Federated Learning.
CoRR, 2024

Bridging Operator Learning and Conditioned Neural Fields: A Unifying Perspective.
CoRR, 2024

PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks.
CoRR, 2024

2023
Long-time integration of parametric evolution equations with physics-informed DeepONets.
J. Comput. Phys., February, 2023

An Expert's Guide to Training Physics-informed Neural Networks.
CoRR, 2023

PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems.
CoRR, 2023

Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach.
CoRR, 2023

An infectious disease model based on material science management during the COVID-19 pandemic.
Proceedings of the International Conference on Mathematics and Machine Learning, 2023

Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling.
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.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Dual-stream shadow detection network: biologically inspired shadow detection for remote sensing images.
Neural Comput. Appl., 2022

Fine-Grained Feature Enhancement for Object Detection in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Improved Architectures and Training Algorithms for Deep Operator Networks.
J. Sci. Comput., 2022

When and why PINNs fail to train: A neural tangent kernel perspective.
J. Comput. Phys., 2022

Random Weight Factorization Improves the Training of Continuous Neural Representations.
CoRR, 2022

Rethinking the Importance of Sampling in Physics-informed Neural Networks.
CoRR, 2022

Respecting causality is all you need for training physics-informed neural networks.
CoRR, 2022

A Slide-Save Based Framework for Multi-Source DOA Extraction with Closely Spaced Sources.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks.
SIAM J. Sci. Comput., 2021

Deep learning of free boundary and Stefan problems.
J. Comput. Phys., 2021

Fast PDE-constrained optimization via self-supervised operator learning.
CoRR, 2021

Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets.
CoRR, 2021

Fully Convolutional Network-Based DOA Estimation with Acoustic Vector Sensor.
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.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Robust Multi-Source Direction of Arrival Estimation Using a Single Acoustic Vector Sensor.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Double-stream atrous network for shadow detection.
Neurocomputing, 2020

On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks.
CoRR, 2020

Understanding and mitigating gradient pathologies in physics-informed neural networks.
CoRR, 2020

2019
Strong Internal-Cohesion-Polymerization-Based Integrated Fuzzy Classification on Feature Diffusion for Epileptic Electroencephalograms Signal.
J. Medical Imaging Health Informatics, 2019

An Integrated Image Filter for Enhancing Change Detection Results.
IEEE Access, 2019

An Overlapping-Free Leaf Segmentation Method for Plant Point Clouds.
IEEE Access, 2019


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