A Narwhal-Inspired Sensing-to-Control Framework for Small Fixed-Wing Aircraft

Kavli Affiliate: Morteza Gharib | First 5 Authors: Fengze Xie, Fengze Xie, , , | Summary: Fixed-wing unmanned aerial vehicles (UAVs) offer endurance and efficiency but lack low-speed agility due to highly coupled dynamics. We present an end-to-end sensing-to-control pipeline that combines bio-inspired hardware, physics-informed dynamics learning, and convex control allocation. Measuring airflow on a […]


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A Giant Peanut-shaped Ultra-High-Energy Gamma-Ray Emitter Off the Galactic Plane

Kavli Affiliate: Wei Gao | First 5 Authors: Zhen Cao, Zhen Cao, , , | Summary: Ultra-high-energy (UHE), exceeding 100 TeV (10^12 electronvolts), gamma-rays manifests extreme particle acceleration in astrophysical sources. Recent observations by gamma-ray telescopes, particularly by the Large High Altitude Air Shower Observatory (LHAASO), have revealed a few tens of UHE sources, indicating […]


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Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow

Kavli Affiliate: Wei Gao | First 5 Authors: Ruyang Liu, Ruyang Liu, , , | Summary: Long-form video understanding has always been a challenging problem due to the significant redundancy in both temporal and spatial contents. This challenge is further exacerbated by the limited context length of Multimodal Large Language Models (MLLMs). To address this […]


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The Cosmic Infrared Background Experiment-2: An Intensity Mapping Optimized Sounding-rocket Payload to Understand the Near-IR Extragalactic Background Light

Kavli Affiliate: James J. Bock | First 5 Authors: , , , , | Summary: The background light produced by emission from all sources over cosmic history is a powerful diagnostic of structure formation and evolution. At near-infrared wavelengths, this extragalactic background light (EBL) is comprised of emission from galaxies stretching all the way back […]


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TES Bolometer Design and Testing for the Tomographic Ionized-carbon Mapping Experiment Millimeter Array

Kavli Affiliate: James J. Bock | First 5 Authors: Victoria L. Butler, Victoria L. Butler, , , | Summary: Transition Edge Sensor (TES) bolometers are a well-established technology with a strong track record in experimental cosmology, making them ideal for current and future radio astronomy instruments. The Tomographic Ionized-carbon Mapping Experiment (TIME), in collaboration with […]


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Simulating Spectral Confusion in SPHEREx Photometry and Redshifts

Kavli Affiliate: James J. Bock | First 5 Authors: Zhaoyu Huai, Zhaoyu Huai, , , | Summary: We model the impact of source confusion on photometry and the resulting spectrophotometric redshifts for SPHEREx, a NASA Medium-Class Explorer that is carrying out an all-sky near-infrared spectral survey. Spectral confusion from untargeted background galaxies degrades sensitivity and […]


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Translation from Wearable PPG to 12-Lead ECG

Kavli Affiliate: Wei Gao | First 5 Authors: Hui Ji, Hui Ji, , , | Summary: The 12-lead electrocardiogram (ECG) is the gold standard for cardiovascular monitoring, offering superior diagnostic granularity and specificity compared to photoplethysmography (PPG). However, existing 12-lead ECG systems rely on cumbersome multi-electrode setups, limiting sustained monitoring in ambulatory settings, while current […]


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Experience Paper: Adopting Activity Recognition in On-demand Food Delivery Business

Kavli Affiliate: Wei Gao | First 5 Authors: , , , , | Summary: This paper presents the first nationwide deployment of human activity recognition (HAR) technology in the on-demand food delivery industry. We successfully adapted the state-of-the-art LIMU-BERT foundation model to the delivery platform. Spanning three phases over two years, the deployment progresses from […]


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AdaPtis: Reducing Pipeline Bubbles with Adaptive Pipeline Parallelism on Heterogeneous Models

Kavli Affiliate: Wei Gao | First 5 Authors: Jihu Guo, Jihu Guo, , , | Summary: Pipeline parallelism is widely used to train large language models (LLMs). However, increasing heterogeneity in model architectures exacerbates pipeline bubbles, thereby reducing training efficiency. Existing approaches overlook the co-optimization of model partition, model placement, and workload scheduling, resulting in […]


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RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Wei Gao, , , | Summary: Reinforcement Learning (RL) is a pivotal post-training technique for enhancing the reasoning capabilities of Large Language Models (LLMs). However, synchronous RL post-training often suffers from significant GPU underutilization, referred to as bubbles, caused by imbalanced response lengths within rollout […]


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