Kavli Affiliate: Xian Chen | First 5 Authors: Alejandro Torres-Orjuela, Veronica Vazquez-Aceves, Rui Xu, Jin-Hong Chen, Andrea Derdzinski | Summary: GWnext 2024 was a meeting held in the Kavli Institute for Astronomy and Astrophysics at Peking University in March $4^text{th} – 8^text{th}$, 2024. In the meeting researchers at different career stages — with a particular […]
Kavli Affiliate: Xian Chen | First 5 Authors: Alejandro Torres-Orjuela, Veronica Vazquez-Aceves, Rui Xu, Jin-Hong Chen, Andrea Derdzinski | Summary: GWnext 2024 was a meeting held in the Kavli Institute for Astronomy and Astrophysics at Peking University in March $4^text{th} – 8^text{th}$, 2024. In the meeting researchers at different career stages — with a particular […]
Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]
Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]
Kavli Affiliate: Jing Wang | First 5 Authors: Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng, | Summary: In this paper, we introduce the Dependent Noise-based Inaccurate Label Distribution Learning (DN-ILDL) framework to tackle the challenges posed by noise in label distribution learning, which arise from dependencies on instances and labels. We start by modeling […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]
Kavli Affiliate: Jing Wang | First 5 Authors: Yuhang Liu, Boyi Sun, Guixu Zheng, Yishuo Wang, Jing Wang | Summary: LiDAR sensors play a crucial role in various applications, especially in autonomous driving. Current research primarily focuses on optimizing perceptual models with point cloud data as input, while the exploration of deeper cognitive intelligence remains […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jiang Wu, Yuanqiu Huang, Zhangdong Ouyang, | Summary: The generalized $k$-connectivity of a graph $G$, denoted by $kappa_k(G)$, is the minimum number of internally edge disjoint $S$-trees for any $Ssubseteq V(G)$ and $|S|=k$. The generalized $k$-connectivity is a natural extension of the classical connectivity and […]