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BlinDNO: A Distributional Neural Operator for Dynamical System Reconstruction from Time-Label-Free data
Zhijun Zeng, Junqing Chen, Zuoqiang Shi
We study an inverse problem for stochastic and quantum dynamical systems in a time-label-free setting, where only unordered density snapshots sampled at unknown times drawn from an…
An Efficient Conditional Score-based Filter for High Dimensional Nonlinear Filtering Problems
Zhijun Zeng, Weiye Gan, Junqing Chen +1
In many engineering and applied science domains, high-dimensional nonlinear filtering is still a challenging problem. Recent advances in score-based diffusion models offer a promis…
Kernel Variational Inference Flow for Nonlinear Filtering Problem
Weiye Gan, Zhijun Zeng, Junqing Chen +1
We present a novel particle flow for sampling called kernel variational inference flow (KVIF). KVIF do not require the explicit formula of the target distribution which is usually…
Ultrasound Tomography of Musculoskeletal Tissues with Generative Neural Physics
Zhijun Zeng, Youjia Zheng, Chang Su +10
Ultrasound Tomography (UT) is a radiation-free, high-resolution modality, but remains limited for musculoskeletal imaging due to the high computational cost and instability of full…
OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography
Zhijun Zeng, Youjia Zheng, Hao Hu +8
Accurate and efficient simulation of wave equations is crucial in computational wave imaging applications, such as ultrasound computed tomography (USCT), which reconstructs tissue…
Robust Frequency Domain Full-Waveform Inversion via HV-Geometry
Zhijun Zeng, Matej Neumann, Yunan Yang
Conventional frequency-domain full-waveform inversion (FWI) is typically implemented with an misfit function, which suffers from challenges such as cycle skipping and sensiti…