activity
20102023
most citedThe Link between Magnetic-field Orientations and Star Formation Rates

24 citations · 49 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2023★ 1 cited

Monotone Cubic B-Splines with a Neural-Network Generator

Lijun Wang, Xiaodan Fan, Huabai Li +1

We present a method for fitting monotone curves using cubic B-splines, which is equivalent to putting a monotonicity constraint on the coefficients. We explore different ways of en…

stat.ME2023

A Geometric Statistic for Quantifying Correlation Between Tree-Shaped Datasets

Shanjun Mao, Xiaodan Fan, Jie Hu

The magnitude of Pearson correlation between two scalar random variables can be visually judged from the two-dimensional scatter plot of an independent and identically distributed…

cs.CV2020

Appearance-free Tripartite Matching for Multiple Object Tracking

Lijun Wang, Yanting Zhu, Jue Shi +1

Multiple Object Tracking (MOT) detects the trajectories of multiple objects given an input video. It has become more and more important for various research and industry areas, suc…

stat.ME2017

Nonparametric Statistical Inference and Imputation for Incomplete Categorical Data

Chaojie Wang, Linghao Shen, Han Li +1

Missingness in categorical data is a common problem in various real applications. Traditional approaches either utilize only the complete observations or impute the missing data by…

stat.ML2017

A Bayesian Method for Joint Clustering of Vectorial Data and Network Data

Yunchuan Kong, Xiaodan Fan

We present a new model-based integrative method for clustering objects given both vectorial data, which describes the feature of each object, and network data, which indicates the…

astro-ph.GA2017★ 24 cited

The Link between Magnetic-field Orientations and Star Formation Rates

Hua-bai Li, Hangjin Jiang, Xiaodan Fan +2

Understanding star formation rates (SFR) is a central goal of modern star-formation models, which mainly involve gravity, turbulence and, in some cases, magnetic fields (B-fields).…