Cyclops: LiDAR as a Camera That Dreams in Color

Kavli Affiliate: Wei Gao| Summary:Conventionally, robotic perception relies heavily on cameras due to the rich semantic texture they provide. However, their performance degrades significantly in low-light or high-dynamic-range environments. Conversely, while Light Detection and Ranging (LiDAR) captures illumination-invariant geometric and intensity properties, the resulting data are typically single-channel and sparse, creating a significant modality gap […]


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Monolithic high density integrated photonics on bulk lithium niobate

Kavli Affiliate: Simon Groblacher | Summary:Functional electro-optic (EO) tunable photonic integrated circuits are crucial to next-generation information processing and advanced computing, where ferroelectric materials such as lithium niobate (LiNbO3) provide outstanding optical properties and versatile tuning mechanisms. However, beyond achieving high-performance devices, practical deployment of LiNbO3 photonic integrated circuits requires rapid and cost-effective scale-up, which […]


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The Low-Mass Baryon Cycle in QUEST Dwarf Galaxies I: Sample definition and first results

Kavli Affiliate: Hsiaowen Chen |Summary:We introduce the QUEST Dwarfs program, which connects low-mass galaxies’ stellar populations, interstellar medium, and circumgalactic medium in a large and coherently analyzed sample using a combination of optical spectroscopy, broadband imaging, and FUV absorption spectra of bright background sources .We present initial results from the first-release sample, comprising 14 galaxies […]


Continue.. The Low-Mass Baryon Cycle in QUEST Dwarf Galaxies I: Sample definition and first results

ParaJSCC: A Parameterized Framework for Reusable Multimodal Joint Source-Channel Coding

Kavli Affiliate: Wei Gao| Summary:Multimodal signals, such as visual, audio, and tactile data, are increasingly maintained as persistent digital assets in immersive communication systems and digital twins. In these settings, the same multimodal content is repeatedly accessed by heterogeneous receivers with varying modality and bandwidth requirements. Existing compression and Joint Source-Channel Coding (JSCC) methods typically […]


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Enabling Quantitative Polarimetry for Keck/NIRC2: Preliminary Mueller Matrix Model Calibration

Kavli Affiliate: Dimitri Mawet| Summary:The Keck/NIRC2 infrared imager was upgraded in 2025 with dual-beam polarimetric observing modes spanning approximately 1.1–4.1 microns (JHKL’ bands). We present a preliminary JHK calibration of NIRC2 Polarimetry using a wavelength-dependent Mueller matrix model of the Keck tertiary mirror (M3), half-wave plate (HWP), image rotator (IMR), downstream optics, and Wollaston prism. […]


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Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training

Kavli Affiliate: Wei Gao| Summary:Vision-language models (VLMs) enable embodied agents to reason and act from visual observations and language instructions. Reinforcement learning (RL) post-training enhances these capabilities using task feedback, but current on-policy RL runtimes execute rollout, reference scoring, and actor training in strict serial phases. While effective for text-only RL, this phase-granular execution is […]


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CoDS: Robust Collaborative Perception via Expert-driven Detection and BEV Segmentation

Kavli Affiliate: Wei Gao| Summary:Collaborative perception breaks through single-view limitations via multi-agent information exchange. However, multi-source noise such as pose errors and communication delays degrades fusion feature quality, constraining perception performance. Joint training of detection and BEV segmentation provides a natural remedy, where segmented road regions help constrain target distributions and detection bounding boxes help […]


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Energy Partitioning in Dust-catalyzed $mathrmH_2$ and HD Formation Revealed by Molecular Simulations Considering Nuclear Quantum Effects

Kavli Affiliate: Lile Wang |Summary:Molecular hydrogen formation on interstellar dust grains is a key surface process in the interstellar medium, but the redistribution of the recombination energy between the substrate and the nascent molecule remains poorly understood. Here, we use ring-polymer molecular dynamics (RPMD) with a machine-learning force field to investigate energy partitioning during $mathrmH_2$ […]


Continue.. Energy Partitioning in Dust-catalyzed $mathrmH_2$ and HD Formation Revealed by Molecular Simulations Considering Nuclear Quantum Effects