Kavli Affiliate: Lijing Shao | First 5 Authors: Yacheng Kang, Chang Liu, Jin-Ping Zhu, Yong Gao, Lijing Shao | Summary: Based on different neutron star-white dwarf (NS-WD) population models, we investigate the prospects of gravitational-wave (GW) detections for NS-WD mergers, with the help of early warnings from two space-borne decihertz GW observatories, DO-Optimal and DECIGO. […]

Kavli Affiliate: Lijing Shao | First 5 Authors: Yacheng Kang, Chang Liu, Jin-Ping Zhu, Yong Gao, Lijing Shao | Summary: Based on different neutron star-white dwarf (NS-WD) population models, we investigate the prospects of gravitational-wave (GW) detections for NS-WD mergers, with the help of early warnings from two space-borne decihertz GW observatories, DO-Optimal and DECIGO. […]

Kavli Affiliate: Jing Wang | First 5 Authors: Yunxiang Li, Bowen Jing, Xiang Feng, Zihan Li, Yongbo He | Summary: The recent developments of foundation models in computer vision, especially the Segment Anything Model (SAM), allow scalable and domain-agnostic image segmentation to serve as a general-purpose segmentation tool. In parallel, the field of medical image […]

Kavli Affiliate: Jing Wang | First 5 Authors: Yunxiang Li, Bowen Jing, Zihan Li, Jing Wang, You Zhang | Summary: Automatic segmentation of medical images is crucial in modern clinical workflows. The Segment Anything Model (SAM) has emerged as a versatile tool for image segmentation without specific domain training, but it requires human prompts and […]

Kavli Affiliate: Zhuo Li | First 5 Authors: Yuxiang Zhang, Zhuo Li, Jingze Lu, Wenchao Wang, Pengyuan Zhang | Summary: Current synthetic speech detection (SSD) methods perform well on certain datasets but still face issues of robustness and interpretability. A possible reason is that these methods do not analyze the deficiencies of synthetic speech. In […]

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Chao-Jun Feng, Towe Wang, , | Summary: To explore the feasibility of utilizing black hole images to test the cosmological constant, we have developed a comprehensive analytical method for simulating images of Kerr-de Sitter black holes illuminated by equatorial thin accretion disks. Our findings indicate […]

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: The application of Unbiased Learning to Rank (ULTR) is widespread in modern systems for training unbiased ranking models from biased click logs. The key is to explicitly model a generation process for user behavior and […]

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]

Kavli Affiliate: Ke Wang | First 5 Authors: Fengwei Xu, Ke Wang, Yuxin He, Jingwen Wu, Lei Zhu | Summary: Gas infall motions play a crucial role in high-mass star formation and are characterized by observable signatures in the form of blue-shifted asymmetric spectral line profiles ("blue profiles"). However, the connection between blue profiles and […]