Jiachen Yao

Orcid: 0000-0001-7655-7831

According to our database1, Jiachen Yao authored at least 12 papers between 2017 and 2024.

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Bibliography

2024
A Theoretical Study of Neural Network Expressive Power via Manifold Topology.
CoRR, 2024

Backdooring Vision-Language Models with Out-Of-Distribution Data.
CoRR, 2024

Preconditioning for Physics-Informed Neural Networks.
CoRR, 2024

Topological Analysis of Mouse Brain Vasculature via 3d Light-Sheet Microscopy Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
CoRR, 2023

Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images.
Proceedings of the Medical Imaging with Deep Learning, 2023

MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Learning to Segment from Noisy Annotations: A Spatial Correction Approach.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Selecting Real-World Objects via User-Perspective Phone Occlusion.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
On the Convergence of Optimizing Persistent-Homology-Based Losses.
CoRR, 2022

2021
Multi-Step-Ahead Tool State Monitoring Using Clustering Feature-Based Recurrent Fuzzy Neural Networks.
IEEE Access, 2021

2017
Image coding in compressed sensing based on noise shaping.
Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems, 2017


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