First High-Throughput Evaluation of Dark Matter Detector Materials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Sinéad M. Griffin, Sinéad M. Griffin, , , | Summary: We perform the first high-throughput search and evaluation of materials that can serve as excellent low-mass dark matter detectors. Using properties of close to one thousand materials from the Materials Project database, we project the sensitivity […]


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Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Haiwen Dai, Haiwen Dai, , , | Summary: Data-driven methodologies hold the promise of revolutionizing inorganic materials discovery, but they often face challenges due to discrepancies between theoretical predictions and experimental validation. In this work, we present an end-to-end discovery framework that leverages synthesizability, oxidation state […]


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YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework

Kavli Affiliate: Ting Xu | First 5 Authors: Dahang Wan, Rongsheng Lu, Yang Fang, Xianli Lang, Shuangbao Shu | Summary: Multispectral object detection, which integrates information from multiple bands, can enhance detection accuracy and environmental adaptability, holding great application potential across various fields. Although existing methods have made progress in cross-modal interaction, low-light conditions, and […]


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Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong | Summary: Peptide sequencing-the process of identifying amino acid sequences from mass spectrometry data-is a fundamental task in proteomics. Non-Autoregressive Transformers (NATs) have proven highly effective for this task, outperforming traditional methods. Unlike autoregressive models, which generate […]


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Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang | Summary: Large vision-language models (LVLMs) have demonstrated outstanding performance in many downstream tasks. However, LVLMs are trained on large-scale datasets, which can pose privacy risks if training images contain sensitive information. Therefore, it is important to […]


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The Throughput Gain of Hypercycle-level Resource Reservation for Time-Triggered Ethernet

Kavli Affiliate: Feng Wang | First 5 Authors: Peng Wang, Suman Sourav, Binbin Chen, Hongyan Li, Feng Wang | Summary: Time-Triggered Communication is a key technology for many safety-critical systems, with applications spanning the areas of aerospace and industrial control. Such communication relies on time-triggered flows, with each flow consisting of periodic packets originating from […]


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Wi-CBR: Salient-aware Adaptive WiFi Sensing for Cross-domain Behavior Recognition

Kavli Affiliate: Xiang Zhang | First 5 Authors: Ruobei Zhang, Ruobei Zhang, , , | Summary: The challenge in WiFi-based cross-domain Behavior Recognition lies in the significant interference of domain-specific signals on gesture variation. However, previous methods alleviate this interference by mapping the phase from multiple domains into a common feature space. If the Doppler […]


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Electron-magnon coupling at the interface of a “twin-twisted” antiferromagnet

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Yue Sun, Fanhao Meng, Sijia Ke, Kun Xu, Hongrui Zhang | Summary: We identify a "twin-twist" angle in orthorhombic two-dimensional magnets that maximizes interlayer orbital overlap and enables strong interfacial coupling. Focusing on the van der Waals antiferromagnet CrSBr, we show that this twist angle, near […]


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S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamlessly Speech-Text Alignment and Streaming Speech Decoder

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yu Pan, Yuguang Yang, Yanni Hu, Jianhao Ye, Xiang Zhang | Summary: Multilingual speech-to-speech translation (S2ST) aims to directly convert spoken utterances from multiple source languages into fluent and intelligible speech in a target language. Despite recent progress, several critical challenges persist: 1) achieving high-quality and low-latency […]


Continue.. S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamlessly Speech-Text Alignment and Streaming Speech Decoder

S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Streaming Speech Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yu Pan, Yuguang Yang, Yanni Hu, Jianhao Ye, Xiang Zhang | Summary: Multilingual speech-to-speech translation (S2ST) aims to directly convert spoken utterances from multiple source languages into fluent and intelligible speech in a target language. Despite recent progress, several critical challenges persist: 1) achieving high-quality S2ST remains […]


Continue.. S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Streaming Speech Generation