百晓学者学者目录

颜军

博士生导师、教授、硕士生导师,青岛科技大学

精选作品

期刊论文

2026

基于时空维度分解与异构解码的轻量化轨迹预测模型

林清华,王美芳,李辉,葛同澳,颜军

《电子学报》

2026

Editorial: Statistical Aspects of Trustworthy Machine Learning

Stephanie C. Hicks, Keegan Korthauer, Xiao-Tong Shen, Jun Yan, Hao Helen Zhang

Journal of Data Science

2026

DMDNet: Decoupled Multimodal Detection Network for Fine-Grained Ulva Prolifera Segmentation

Xuanying Lyu, Lie Sun, Hao Wang, Liang Zhao, Yishuo Fu, Jun Yan, Yongqing Li

Remote Sensing

2026

SHRS-YOLO: Small Target Detection in Hazy Remote Sensing Images

Runjie Yang, Yongde Guo, Jun Yan, Qiuji Zhou, Haonan Yang, Dunwei Gong

IEEE Transactions on Geoscience and Remote Sensing

2026

PISEM: A Physics-Informed Spatiotemporal Encoding Model for Sea Surface Temperature Prediction

Juan Wang, Ying Gao, X W Li, Yuanyuan Sun, Jun Yan, Yongqing Li

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2025

A Comprehensive Hyperspectral Image Dataset for Forest Fire Detection and Classification

A.S. Radha Mani, Xin Chen, Sergey Viktorovich Gorbachev, Jun Yan, Abhishek Dixit, Yuanyuan Sun, Zhiyu Yan, Jiaqi Wu, Jianwen Deng, Xiaohua Jiang, Yuwei Chen

Scientific Data

2025

Three-Dimensional Multiobject Tracking Based on Voxel Masking Encoder and Deep Hashing Paradigm

Saiyu Li, Zhong Chen, Hui Li, Ye Tao, Ying Gao, Jun Yan

IEEE Transactions on Neural Networks and Learning Systems

2025

OHID-1: A New Large Hyperspectral Image Dataset for Multi-Classification

A.S. Radha Mani, Sergey Viktorovich Gorbachev, Jun Yan, Abhishek Dixit, Xi Shi, Long Li, Yuanyuan Sun, Xin Chen, Jiaqi Wu, Jianwen Deng, Xiaohua Jiang, Dong Yue, Chunxia Dou, Xiangsen Wei, Jiawei Huang

Scientific Data

2024

Activated Sparsely Sub-Pixel Transformer for Remote Sensing Image Super-Resolution

Yongde Guo, Chengying Gong, Jun Yan

Remote Sensing

2023

Legendary Career and Colorful Life: A Conversation with Dr. Bob Riffenburgh

H. Bar, Jun Yan

Journal of Data Science

2021

Shape-Restricted Regression Splines with R Package splines2

Wenjie Wang, Jun Yan

Journal of Data Science

2019

Generalized Estimating Equation Package [R package geepack version 1.3-1]

Søren Højsgaard, U. Halekoh, Jun Yan

2017

Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank

Yujing Jiang, Mei-Ling-Ting Lee, Xin He, B. Rosner, Jun Yan

Journal of Statistical Software

2007

Enjoy the Joy of Copulas: With a Package copula

Jun Yan

2005

The R Package geepack for Generalized Estimating Equations

Søren Højsgaard, U. Halekoh, Jun Yan

预印本

2026

Domain-Skewed Federated Learning with Feature Decoupling and Calibration

Huan Wang, Jun Shen, Jun Yan, Guansong Pang

arXiv preprint

2026

Contextual Causality with Large Language Models: A Survey

Yiheng Zhao, Jun Yan, Chengming Hu

arXiv preprint

2026

Beyond Normal References: Discriminative Few-Shot Anomaly Detection

Huan Wang, Jun Shen, Jun Yan, Guansong Pang

arXiv preprint

2026

Gaussian Graphical Models for Functional Connectivity Analysis: A Statistical Review with Applications to Alzheimer's Disease

Panpan Zhang, Shiying Xiao, W. Hudson Robb, Dandan Liu, Angela L. Jefferson, Jun Yan

arXiv preprint

2026

Unobserved Heterogeneity in Threshold Regression Based on the Hitting Times of a Reflected Brownian Motion for Recurrent Hypoglycemia

Yingfa Xie, Haoda Fu, Yuan Huang, Jun Yan

arXiv preprint

2025

Heteroscedastic Growth Curve Modeling with Shape-Restricted Splines

Jieying Jiao, Wenling Song, Yishu Xue, Jun Yan

arXiv preprint

2025

Data Jamboree: A Party of Open-Source Software Solving Real-World Data Science Problems

Lucy D'Agostino McGowan, Shannon Tass, Sam Tyner, HaiYing Wang, Jun Yan

arXiv preprint

2025

On Devon Allen's Disqualification at the 2022 World Track and Field Championships

Owen Fiore, Elizabeth D. Schifano, Jun Yan

arXiv preprint

2025

On the Validity of Isotropic Covariance Functions for Set-indexed Random Fields

Lucas da Cunha Godoy, Marcos Oliveira Prates, Fernando Andrés Quintana, Jun Yan

arXiv preprint

2025

CALF-SBM: A Covariate-Assisted Latent Factor Stochastic Block Model

Sydney Louit, Evan Clark, Alexander Gelbard, Niketna Vivek, Jun Yan, Panpan Zhang

arXiv preprint

2025

Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test

Mathew Chandy, Elizabeth Schifano, Jun Yan, Xianyang Zhang

arXiv preprint

2023

Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation

Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Jun Yan, Boyu Wang, Xue Liu

arXiv preprint

2023

Generating General Preferential Attachment Networks with R Package wdnet

Yelie Yuan, Tiandong Wang, Jun Yan, Panpan Zhang

arXiv preprint

2023

A general model-checking procedure for semiparametric accelerated failure time models

Dongrak Choi, Woojung Bae, Jun Yan, Sangwook Kang

arXiv preprint

2022

Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network

Huan Hua, Jun Yan, Xi Fang, Weiquan Huang, Huilin Yin, Wancheng Ge

arXiv preprint

2022

Transfer Learning with Large-Scale Quantile Regression

Jun Jin, Jun Yan, Robert H. Aseltine, Kun Chen

arXiv preprint

2021

The Effects of the NBA COVID Bubble on the NBA Playoffs: A Case Study for Home-Court Advantage

Michael Price, Jun Yan

arXiv preprint

2021

Regression Modeling for Recurrent Events Using R Package reReg

Sy Han Chiou, Gongjun Xu, Jun Yan, Chiung-Yu Huang

arXiv preprint

2020

Heterogeneity Pursuit for Spatial Point Pattern with Application to Tree Locations: A Bayesian Semiparametric Recourse

Jieying Jiao, Guanyu Hu, Jun Yan

arXiv preprint

2020

Bayesian Nonparametric Estimation for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations

Fan Yin, Jieying Jiao, Guanyu Hu, Jun Yan

arXiv preprint

2020

Clustering US States by Time Series of COVID-19 New Case Counts with Non-negative Matrix Factorization

Jianmin Chen, Jun Yan, Panpan Zhang

arXiv preprint

2020

Regularized Fingerprinting in Detection and Attribution of Climate Change with Weight Matrix Optimizing the Efficiency in Scaling Factor Estimation

Yan Li, Kun Chen, Jun Yan, Xuebin Zhang

arXiv preprint

2020

Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses

Wenjie Wang, Chongliang Luo, Robert H. Aseltine, Fei Wang, Jun Yan, Kun Chen

arXiv preprint

2019

A Bayesian marked spatial point processes model for basketball shot chart

Jieying Jiao, Guanyu Hu, Jun Yan

arXiv preprint

2019

Multivariate Distributionally Robust Convex Regression under Absolute Error Loss

Jose Blanchet, Peter W. Glynn, Jun Yan, Zhengqing Zhou

arXiv preprint

2018

An Online Updating Approach for Testing the Proportional Hazards Assumption with Streams of Survival Data

Yishu Xue, HaiYing Wang, Jun Yan, Elizabeth D. Schifano

arXiv preprint

2018

Adapting to Unknown Noise Distribution in Matrix Denoising

Andrea Montanari, Feng Ruan, Jun Yan

arXiv preprint

2016

Automated Threshold Selection for Extreme Value Analysis via Goodness-of-Fit Tests with Application to Batched Return Level Mapping

Brian Bader, Jun Yan, Xuebin Zhang

arXiv preprint

2016

Automated Selection of r for the r Largest Order Statistics Approach with Adjustment for Sequential Testing

Brian Bader, Jun Yan, Xuebin Zhang

arXiv preprint

2016

Copula Modeling for Data with Ties

Yan Li, Yang Li, Yichen Qin, Jun Yan

arXiv preprint

2015

Online Updating of Statistical Inference in the Big Data Setting

Elizabeth D. Schifano, Jing Wu, Chun Wang, Jun Yan, Ming-Hui Chen

arXiv preprint

2015

Statistical Methods and Computing for Big Data

Chun Wang, Ming-Hui Chen, Elizabeth Schifano, Jing Wu, Jun Yan

arXiv preprint

2012

Fast Accelerated Failure Time Modeling for Case-Cohort Data

Steven Chiou, Sangwook Kang, Jun Yan

arXiv preprint

2012

Semiparametric Multivariate Accelerated Failure Time Model with Generalized Estimating Equations

Steven Chiou, Junghi Kim, Jun Yan

arXiv preprint

2012

A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes

Hongwei Shang, Jun Yan, Xuebin Zhang

arXiv preprint

2012

Transformed Gaussian Markov Random Fields and Spatial Modeling

Marcos O. Prates, Dipak K. Dey, Michael R. Willig, Jun Yan

arXiv preprint

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