SUFFICIENT: A scan-specific unsupervised deep learning framework for high-resolution 3D isotropic fetal brain MRI reconstruction

Kavli Affiliate: Li Xin Li | First 5 Authors: Jiangjie Wu, Lixuan Chen, Zhenghao Li, Xin Li, Saban Ozturk | Summary: High-quality 3D fetal brain MRI reconstruction from motion-corrupted 2D slices is crucial for clinical diagnosis. Reliable slice-to-volume registration (SVR)-based motion correction and super-resolution reconstruction (SRR) methods are essential. Deep learning (DL) has demonstrated potential […]


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Towards Realistic Detection Pipelines of Taiji: New Challenges in Data Analysis and High-Fidelity Simulations of Space-Borne Gravitational Wave Antenna

Kavli Affiliate: Xian Chen | First 5 Authors: Minghui Du, Pengcheng Wang, Ziren Luo, Wen-Biao Han, Xin Zhang | Summary: Taiji, a Chinese space-based gravitational wave detection project, aims to explore the millihertz gravitational wave universe with unprecedented sensitivity, targeting astrophysical and cosmological sources including Galactic binaries, massive black hole binaries, extreme mass-ratio inspirals, and […]


Continue.. Towards Realistic Detection Pipelines of Taiji: New Challenges in Data Analysis and High-Fidelity Simulations of Space-Borne Gravitational Wave Antenna

First Identification and Precise Spectral Measurement of the Proton Component in the Cosmic-Ray `Knee’

Kavli Affiliate: Zhuo Li | First 5 Authors: The LHAASO Collaboration, Zhen Cao, , , | Summary: We report the first high-purity identification of cosmic-ray (CR) protons and a precise measurement of their energy spectrum from 0.15 to 12 PeV using the Large High Altitude Air Shower Observatory (LHAASO). Abundant event statistics, combined with the […]


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Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search

Kavli Affiliate: Ran Wang | First 5 Authors: Songhao Wu, Quan Tu, Hong Liu, Jia Xu, Zhongyi Liu | Summary: Session search involves a series of interactive queries and actions to fulfill user’s complex information need. Current strategies typically prioritize sequential modeling for deep semantic understanding, overlooking the graph structure in interactions. While some approaches […]


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ALMA observation of evolving magnetized corona in the radio-quiet changing-state AGN NGC 1566

Kavli Affiliate: Claudio Ricci | First 5 Authors: Arghajit Jana, Claudio Ricci, Sophie M. Venselaar, Chin-Shin Chang, Mai Liao | Summary: The origin of compact millimeter (mm) continuum emission from radio-quiet AGNs (RQAGNs) is still not fully understood. Changing-state AGNs (CSAGNs) display rapid and strong variability, which can allow us to investigate the origin of […]


Continue.. ALMA observation of evolving magnetized corona in the radio-quiet changing-state AGN NGC 1566

Linear analysis of I-C-Love universal relations for neutron stars

Kavli Affiliate: Lijing Shao | First 5 Authors: Zexin Hu, Yong Gao, Lijing Shao, , | Summary: Neutron stars (NSs) are excellent laboratories for testing gravity theories as they are strongly self-gravitating bodies and have rich observational phenomena. However, strong-gravity effects in NS could be degenerate with their equation of state (EOS) which is largely […]


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DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Kavli Affiliate: Jing Wang | First 5 Authors: Joel Jang, Seonghyeon Ye, Zongyu Lin, Jiannan Xiang, Johan Bjorck | Summary: We introduce DreamGen, a simple yet highly effective 4-stage pipeline for training robot policies that generalize across behaviors and environments through neural trajectories – synthetic robot data generated from video world models. DreamGen leverages state-of-the-art […]


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AGN star dynamics under the Influence of Outflow-Ambient Interactions

Kavli Affiliate: Lile Wang | First 5 Authors: Muxin Liu, Lile Wang, Peng Peng, , | Summary: Stars with outflows interacting with ambient gas experience accelerations arising from the gravitational feedback induced by the interaction structure. In this work, three-dimensional (3D) local shearing box simulations are performed to investigate the dynamical evolution of a star […]


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WeGA: Weakly-Supervised Global-Local Affinity Learning Framework for Lymph Node Metastasis Prediction in Rectal Cancer

Kavli Affiliate: Feng Yuan | First 5 Authors: Yifan Gao, Yaoxian Dong, Wenbin Wu, Chaoyang Ge, Feng Yuan | Summary: Accurate lymph node metastasis (LNM) assessment in rectal cancer is essential for treatment planning, yet current MRI-based evaluation shows unsatisfactory accuracy, leading to suboptimal clinical decisions. Developing automated systems also faces significant obstacles, primarily the […]


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Origin of the ring ellipticity in the black hole images of M87*

Kavli Affiliate: Feng Yuan | First 5 Authors: Rohan Dahale, Ilje Cho, Kotaro Moriyama, Kaj Wiik, Paul Tiede | Summary: We investigate the origin of the elliptical ring structure observed in the images of the supermassive black hole M87*, aiming to disentangle contributions from gravitational, astrophysical, and imaging effects. Leveraging the enhanced capabilities of the […]


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