High-quality Extragalactic Legacy-field Monitoring (HELM) with DECam

Kavli Affiliate: Claudio Ricci | First 5 Authors: Ming-Yang Zhuang, Qian Yang, Yue Shen, Monika Adamow, Douglas N. Friedel | Summary: High-quality Extragalactic Legacy-field Monitoring (HELM) is a long-term observing program that photometrically monitors several well-studied extragalactic legacy fields with the Dark Energy Camera (DECam) imager on the CTIO 4m Blanco telescope. Since Feb 2019, […]


Continue.. High-quality Extragalactic Legacy-field Monitoring (HELM) with DECam

[O IV] and [Ne V]-weak AGNs Hidden by Compton-thick Material in Late Mergers

Kavli Affiliate: Claudio Ricci | First 5 Authors: Satoshi Yamada, Yoshihiro Ueda, Taiki Kawamuro, Claudio Ricci, Yoshiki Toba | Summary: We study "buried" active galactic nuclei (AGNs) almost fully covered by circumnuclear material in ultra-/luminous infrared galaxies (U/LIRGs), which show weak ionized lines from narrow line regions. Employing an indicator of [O IV] 25.89-um or […]


Continue.. [O IV] and [Ne V]-weak AGNs Hidden by Compton-thick Material in Late Mergers

ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation

Kavli Affiliate: Jing Wang | First 5 Authors: Aimee Guo, Gace Fei, Hemanth Pasupuletic, Jing Wang, | Summary: The newly released Segment Anything Model (SAM) is a popular tool used in image processing due to its superior segmentation accuracy, variety of input prompts, training capabilities, and efficient model design. However, its current model is trained […]


Continue.. ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation

Multiscale Modelling with Physics-informed Neural Network: from Large-scale Dynamics to Small-scale Predictions in Complex Systems

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively predicting multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]


Continue.. Multiscale Modelling with Physics-informed Neural Network: from Large-scale Dynamics to Small-scale Predictions in Complex Systems

Insights into Multiscale Complexity: from Macroscopic Patterns to Microscopic Simulations via Deep Learning

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]


Continue.. Insights into Multiscale Complexity: from Macroscopic Patterns to Microscopic Simulations via Deep Learning

A Novel Paradigm in Solving Multiscale Problems

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving paradigm is proposed through modelling large-scale dynamics […]


Continue.. A Novel Paradigm in Solving Multiscale Problems

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Kavli Affiliate: Ke Wang | First 5 Authors: Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen | Summary: Semantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in […]


Continue.. FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Kavli Affiliate: Ke Wang | First 5 Authors: Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen | Summary: Semantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in […]


Continue.. FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques

Kavli Affiliate: Zhuo Li | First 5 Authors: Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun | Summary: The integration of Large Language Models (LLMs) with Graph Representation Learning (GRL) marks a significant evolution in analyzing complex data structures. This collaboration harnesses the sophisticated linguistic capabilities of LLMs to improve the contextual understanding […]


Continue.. Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques

The dynamics and gravitational-wave signal of a binary flying closely by a Kerr supermassive black hole

Kavli Affiliate: Xian Chen | First 5 Authors: Zhongfu Zhang, Xian Chen, , , | Summary: Recent astrophysical models predict that stellar-mass binary black holes (BBHs) could form and coalesce within a few gravitational radii of a supermassive black hole (SMBH). Detecting the gravitational waves (GWs) from such systems requires numerical tools which can track […]


Continue.. The dynamics and gravitational-wave signal of a binary flying closely by a Kerr supermassive black hole