11 papers
Imaging-101: Benchmarking LLM Coding Agents on Scientific Computational Imaging
Siyi Chen, Jiahe Ying, Yixuan Jia +9
Computational imaging, which recovers hidden signals from indirect, noisy measurements, underpins quantitative discovery across scientific disciplines, yet building a correct recon…
Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation
Zhijun Zeng, Yixuan Jiang, Pipi Hu +1
Density estimation is a central primitive in probabilistic modeling, yet continuous, discrete, and mixed-variable domains are often treated by separate objectives, limiting the abi…
Deep-Picard Iteration for Space-time Fractional Diffusion PDEs
Zhijun Zeng, Zhitong Chen, Ling Qin +1
We propose a Deep-Picard iteration framework for high-dimensional nonlinear space-time fractional diffusion equations.The method is based on a nonlinear fractional Feynman--Kac fix…
Flow Matching Transport for Quasi-Monte Carlo Integration
Zhijun Zeng, Jianlong Chen
High-dimensional integration with respect to complex target measures remains a fundamental challenge in computational science. While Flow Matching (FM) offers a powerful paradigm f…
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…
Ultrasound Tomography of Musculoskeletal Tissues with Generative Neural Physics
Zhijun Zeng, Youjia Zheng, Chang Su +12
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…