DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer
Kavli Affiliate: Xiang Zhang | First 5 Authors: Hai Jiang, Chushan Zheng, Jiawei Pan, Yuanpin Zhou, Qiongting Liu | Summary: Background: Accurate assessment of metastatic burden in axillary lymph nodes is crucial for guiding breast cancer treatment decisions, yet conventional imaging modalities struggle to differentiate metastatic burden levels and capture comprehensive lymph node characteristics. This […]
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Flow Matching based Sequential Recommender Model
Kavli Affiliate: Dan Luo | First 5 Authors: Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong | Summary: Generative models, particularly diffusion model, have emerged as powerful tools for sequential recommendation. However, accurately modeling user preferences remains challenging due to the noise perturbations inherent in the forward and reverse processes of diffusion-based methods. […]
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Gaplessness from disorder and quantum geometry in gapped superconductors
Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Omri Lesser, Sagnik Banerjee, Xuepeng Wang, Jaewon Kim, Ehud Altman | Summary: It is well known that disorder can induce low-energy Andreev bound states in a sign-changing, but fully gapped, superconductor at $pi-$junctions. Generically, these excitations are localized. Starting from a superconductor with a sign-changing and nodeless […]
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A Novel Benchmark and Dataset for Efficient 3D Gaussian Splatting with Gaussian Point Cloud Compression
Kavli Affiliate: Wei Gao | First 5 Authors: Kangli Wang, Shihao Li, Qianxi Yi, Wei Gao, | Summary: Recently, immersive media and autonomous driving applications have significantly advanced through 3D Gaussian Splatting (3DGS), which offers high-fidelity rendering and computational efficiency. Despite these advantages, 3DGS as a display-oriented representation requires substantial storage due to its numerous […]
Continue.. A Novel Benchmark and Dataset for Efficient 3D Gaussian Splatting with Gaussian Point Cloud Compression
Superconducting vacancy-ordered rock-salt NbO films
Kavli Affiliate: Joseph Falson | First 5 Authors: Jeong Rae Kim, Sandra Glotzer, Evan Krysko, Matthew R. Barone, Jinkwon Kim | Summary: We report molecular beam epitaxy synthesis of vacancy-ordered rocksalt NbO thin films which display superconductivity. A comparative study of substrates identifies Al$_2$O$_3$ (0001) as the optimal platform for realizing high-quality, single-phase films when […]
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ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data
Kavli Affiliate: Wei Gao | First 5 Authors: Xinzhe Zheng, Sijie Ji, Jiawei Sun, Renqi Chen, Wei Gao | Summary: Mental health risk is a critical global public health challenge, necessitating innovative and reliable assessment methods. With the development of large language models (LLMs), they stand out to be a promising tool for explainable mental […]
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Josephson Junctions in the Age of Quantum Discovery
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Hyunseong Kim, Gyunghyun Jang, Seungwon Jin, Dongbin Shin, Hyeon-Jin Shin | Summary: The unique combination of energy conservation and nonlinear behavior exhibited by Josephson junctions has driven transformative advances in modern quantum technologies based on superconducting circuits. These superconducting devices underpin essential developments across quantum computing, quantum […]
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CLIP-aware Domain-Adaptive Super-Resolution
Kavli Affiliate: Feng Wang | First 5 Authors: Zhengyang Lu, Qian Xia, Weifan Wang, Feng Wang, | Summary: This work introduces CLIP-aware Domain-Adaptive Super-Resolution (CDASR), a novel framework that addresses the critical challenge of domain generalization in single image super-resolution. By leveraging the semantic capabilities of CLIP (Contrastive Language-Image Pre-training), CDASR achieves unprecedented performance across […]
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An Explicit Description of Extreme Points of the Set of Couplings with Given Marginals: with Application to Minimum-Entropy Coupling Problems
Kavli Affiliate: Feng Wang | First 5 Authors: Ya-Jing Ma, Feng Wang, Xian-Yuan Wu, Kai-Yuan Cai, | Summary: Given probability distributions ${bf p}=(p_1,p_2,ldots,p_m)$ and ${bf q}=(q_1,q_2,ldots, q_n)$ with $m,ngeq 2$, denote by ${cal C}(bf p,q)$ the set of all couplings of $bf p,q$, a convex subset of $R^{mn}$. Denote by ${cal C}_e({bf p},{bf q})$ the […]
Continue.. An Explicit Description of Extreme Points of the Set of Couplings with Given Marginals: with Application to Minimum-Entropy Coupling Problems