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From the 1 of 67 papers with an AI index.

most citedGraph Neural Networks for Graphs with Heterophily: A Survey

100 citations

67 papers

eess.IV2026

Practical Lossless Volumetric Medical Image Compression via Tri-plane Context Tree Learning

Yuanchao Bai, Yifan Zhao, Kai Wang +5

Lossless compression of volumetric medical images is of paramount importance for clinical and research applications where data fidelity is essential. Traditional compression method…

cs.CV2026

KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation

Fanding Li, Chenglin Wang, Xiangyu Li +9

Ambiguous medical image segmentation aims to provide a series of diverse but plausible segmentation hypotheses. However, existing methods introduce stochasticity in a fixed and pre…

physics.app-ph2026

Anomalous enhancement of thermal radiation transport by quasidisorder

Cheng-Long Zhou, Xin-Yu Jia, Shui-Hua Yang +4

The transition from order to disorder is conventionally regarded as detrimental to solid-state heat transfer in classical wave and quasiparticle systems. In striking contrast, we s…

physics.optics2026

Phase singularity enabled polarization switchable analog spatial differentiation in an atomic MoS planar Fabry-Pérot cavity

Zhonglin Li, Yingying Wang, Jiawei Kang +3

Reconfigurable analog optical computing requires rapid and efficient switching between core mathematical operations, such as first- and second-order spatial differentiation. Here,…

cs.SE2026

TraceDev: A Traceability-Driven Multi-agent Framework for Requirement-to-Code Development

Mingyu Chen, Yakun Zhang, Zihao Xie +5

In modern software development, the rapid advancement of Large Language Models (LLMs) has made the end-to-end transformation of Natural Language Requirements (NLRs) into executable…

cs.LG2026

Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark

Zihan Zhang, Yu Bao, Xiao Ding +2

Translating brain signals into text could restore communication for people with severe paralysis, yet practically usable systems to date rely on invasive electrocorticography (ECoG…