| First 5 authors: [#feed_custom_author[1]], [#feed_custom_author[2]], [#feed_custom_author[3]], [#feed_custom_author[4]], [#feed_custom_author[5]] | Summary: The relative roles of mergers and star formation in regulating galaxy growth are still a matter of intense debate. We here present our DECODE, a new Discrete statistical sEmi-empiriCal mODEl specifically designed to predict rapidly and efficiently, in a full cosmological context, galaxy assembly […]

Kavli Affiliate: Jing Wang | First 5 Authors: Yibo Shi, Yunying Ge, Jing Wang, Jue Mao, | Summary: Recently, learned video compression has drawn lots of attention and show a rapid development trend with promising results. However, the previous works still suffer from some criticial issues and have a performance gap with traditional compression standards […]

Kavli Affiliate: Lijing Shao | First 5 Authors: Dicong Liang, Rui Xu, Xuchen Lu, Lijing Shao, | Summary: Lorentz violation modifies the dispersion relation of gravitational waves (GWs), and induces birefringence and anisotropy in propagation. Our study shows that Lorentz violation can also activate multiple polarizations of GWs. We use the gauge invariants to investigate […]

Kavli Affiliate: Jing Wang | First 5 Authors: Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang | Summary: In recent years, with the development of deep neural networks, end-to-end optimized image compression has made significant progress and exceeded the classic methods in terms of rate-distortion performance. However, most learning-based image compression methods are […]