8 citations · 13 across the 12 of their papers we have counts for
12 papers
Analysis of the Causes of Car Accidents in the United States of America in 2023: Gauge People Understanding of Data Visualisation
Hamoud Alhazmi, Marcelo Morales, Jiachen Jiang +2
This paper presents a comprehensive examination of interactive data visualization tools and their efficacy in the context of United States car accident data for the year 2023. We d…
The classification of two-distance transitive dihedrants
Jun-Jie Huang, Yan-Quan Feng, Jin-Xin Zhou +1
A vertex transitive graph is said to be -distance transitive if for each vertex , the group of automorphisms of fixing the vertex acts transitively on the set of…
Quasiprimitive groups with a biregular dihedral subgroup,and arc-transitive bidihedrants
Jiangmin Pan, Fu-Gang Yin, Jin-Xin Zhou
A semiregular permutation group on a set $\Ome$ is called {\em bi-regular} if it has two orbits. A classification is given of quasiprimitive permutation groups with a biregular dih…
Using mixed dihedral groups to construct normal Cayley graphs, and a new bipartite -arc-transitive graph which is not a Cayley graph
Daniel R. Hawtin, Cheryl E. Praeger, Jin-Xin Zhou
A \emph{mixed dihedral group} is a group with two disjoint subgroups and , each elementary abelian of order , such that is generated by , and $H/H'\con…
A family of -groups and an associated family of semisymmetric, locally -arc-transitive graphs
Daniel R. Hawtin, Jin-Xin Zhou, Cheryl E. Praeger
A mixed dihedral group is a group with two disjoint subgroups and , each elementary abelian of order , such that is generated by , and $H/H'\cong X\tim…
Are All Losses Created Equal: A Neural Collapse Perspective
Jinxin Zhou, Chong You, Xiao Li +4
While cross entropy (CE) is the most commonly used loss to train deep neural networks for classification tasks, many alternative losses have been developed to obtain better empiric…