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20242026
most citedCausal Bayesian Optimization via Exogenous Distribution Learning

1 citations · 2 across the 5 of their papers we have counts for

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5 papers

cs.CL2026

CT-Bench: A Benchmark for Longitudinal 3D Medical Imaging Difference Reporting with Vision-Language Models

Kegeng Tang, Jingbo Wang, Shaogang Ren +1

In medical imaging, the clinical value of Computed Tomography (CT) lies not only in depicting current disease status, but crucially in enabling longitudinal comparison of serial sc…

physics.optics2026★ 1 cited

A Comprehensive Review of Large Language Models for Nanophotonics: From Surrogate Modeling to Autonomous Design

Huanshu Zhang, Kegeng Tang, Lei Kang +3

Metasurfaces have revolutionized the development of photonic devices by enabling unprecedented precision in light manipulation. However, their design processes are often constraine…

cs.CV2026

Adaptive Domain Shift in Diffusion Models for Cross-Modality Image Translation

Zihao Wang, Yuzhou Chen, Shaogang Ren

Cross-modal image translation remains brittle and inefficient. Standard diffusion approaches often rely on a single, global linear transfer between domains. We find that this short…

astro-ph.EP2025

POLARIS: A High-contrast Polarimetric Imaging Benchmark Dataset for Exoplanetary Disk Representation Learning

Fangyi Cao, Bin Ren, Zihao Wang +5

With over 1,000,000 images from more than 10,000 exposures using state-of-the-art high-contrast imagers (e.g., Gemini Planet Imager, VLT/SPHERE) in the search for exoplanets, can a…

cs.LG2024★ 1 cited

Causal Bayesian Optimization via Exogenous Distribution Learning

Shaogang Ren, Zihao Wang, Yuzhou Chen +1

Maximizing a target variable as an operational objective within a structural causal model is a fundamental problem. Causal Bayesian Optimization (CBO) approaches typically achieve…