Sifan Wang
Orcid: 0009-0008-0842-2044
According to our database1,
Sifan Wang
authored at least 36 papers
between 2019 and 2024.
Collaborative distances:
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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
CoRR, 2024
CoRR, 2024
2023
Long-time integration of parametric evolution equations with physics-informed DeepONets.
J. Comput. Phys., February, 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
IEEE Geosci. Remote. Sens. Lett., 2022
J. Sci. Comput., 2022
J. Comput. Phys., 2022
Random Weight Factorization Improves the Training of Continuous Neural Representations.
CoRR, 2022
CoRR, 2022
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
Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets.
CoRR, 2021
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
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
IEEE Access, 2019