5 papers
Taking a Second Look: Correcting Sea Ice Forecasts with Sparse Observations
Tianshuo Zhang, Xianglei Xing, Aowen Yang +4
Sea ice forecasts are issued several days ahead, allowing errors to accumulate while new, often sparse sea ice concentration (SIC) observations become available. We find that fixed…
History-informed Lagrangian Neural Networks
Tianshuo Zhang, Xianglei Xing, Wenzhe Zhai +2
Forecasting the long-horizon evolution of mechanical systems from position-only observations is a pivotal yet difficult task, as hidden velocities and trajectory-specific physical…
Floating-Body Hydrodynamic Neural Networks
Tianshuo Zhang, Wenzhe Zhai, Rui Yann +3
Fluid-structure interaction is common in engineering and natural systems, where floating-body motion is governed by added mass, drag, and background flows. Modeling these dissipati…
SemiOccam: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels
Rui Yann, Tianshuo Zhang, Xianglei Xing
We present SemiOccam, an image recognition network that leverages semi-supervised learning in a highly efficient manner. Existing works often rely on complex training techniques an…
Shackled Dancing: A Bit-Locked Diffusion Algorithm for Lossless and Controllable Image Steganography
Tianshuo Zhang, Gao Jia, Wenzhe Zhai +2
Data steganography aims to conceal information within visual content, yet existing spatial- and frequency-domain approaches suffer from trade-offs between security, capacity, and p…