龙凤｜武汉大学｜学者主页

2026

High-Dimensional Tests for Elliptical Models via Radial--Directional Dependence

Haoran Zhang, Long Feng

arXiv preprint

2026

Conditional Rank-Rank Regression via Deep Conditional Transformation Models

Xiaoyi Wang, Long Feng, Zhaojun Wang

arXiv preprint

2026

Elliptical Regularized Hotelling Testing for High Dimensional Data

Long Feng, Le Zhou, Xiaoyi Wang

arXiv preprint

2026

Adaptive Ridge-Regularized Hotelling Change-Point Tests for Functional Data

Ping Zhao, Long Feng

arXiv preprint

2026

Nonparametric Change-Point Detection and Inference for High-Dimensional Distributions

Ping Zhao, Long Feng

arXiv preprint

2026

Diagonalized Attention for Individualized Regression: Latent-Row Localization and Prediction

Borui Peng, Liwei Lin, Feifei Wang, Long Feng

arXiv preprint

2026

Two-sample tests for principal eigenvalues and eigenvectors in high-dimensional elliptical factor models

Xinyue Xu, Mengtao Wen, Long Feng

arXiv preprint

2026

Semiparametric Elliptical Mixture Clustering for High-Dimensional Data

Long Feng, Dan Zhuang

arXiv preprint

2026

Cauchy Aggregation of Ridge-Regularized Hotelling Tests for High-Dimensional Change-Point Detection

Ping Zhao, Le Zhou, Long Feng

arXiv preprint

2026

Adaptive Test for Jump

Huifang Ma, Long Feng

arXiv preprint

2026

Rank-Based Sparse Regression in Principal Components Space under Measurement Error

Long Feng, Xiaoyi Wang, Le Zhou

arXiv preprint

2026

Sparse $K$-spatial-median clustering for high-dimensional data

Ping Zhao, Dan Zhuang, Long Feng

arXiv preprint

2026

Cauchy-Combined Hettmansperger-Randles Location Tests in High Dimensions

Ping Zhao, Long Feng, Xiaoyi Wang

arXiv preprint

2026

High Dimensional Bootstrap and Asymptotic Expansion for the $k$-th Largest Coordinate

Long Feng

arXiv preprint

2026

Maximum-of-Differences Test for Comparing Multivariate K-Sample Distributions

Wei Lan, Long Feng, Runze Li, Chih-Ling Tsai

arXiv preprint

2026

Elliptical Regularized Hotelling Tests for High-Dimensional Change-Point Detection

Fengyi Song, Mengtao Wen, Long Feng

arXiv preprint

2026

Note on High Dimensional Spatial-Sign Test for One Sample Problem

Ping Zhao, Long Feng

arXiv preprint

2026

Difference-Based High-Dimensional Long-Run Covariance Matrix Estimation for Mean-shift Time Series

Yanhong Liu, Fengyi Song, Long Feng

arXiv preprint

2026

High-Dimensional Two-Sample Test for Elliptical Symmetry Distribution

Long Feng, Hongfei Wang

arXiv preprint

2026

High-Dimensional Two-Sample Inference via Marginal Likelihood-Ratio Rank Statistics

Xiaoxu Zhang, Long Feng

arXiv preprint

2026

Federated LoRA Fine-Tuning for LLMs via Collaborative Alignment

Shuaida He, Liwen Chen, Long Feng

arXiv preprint

2026

CORA: Conformal Risk-Controlled Agents for Safeguarded Mobile GUI Automation

Yushi Feng, Junye Du, Qifan Wang, Zizhan Ma, Qian Niu, Yutaka Matsuo, Long Feng, Lequan Yu

arXiv preprint

2026

Semi-Supervised Generative Learning via Latent Space Distribution Matching

Kwong Yu Chong, Long Feng

arXiv preprint

2026

Spatial-sign-based multilinear principal component analysis for tensor data

Dongxu Yang, Wanfeng Liang, Le Zhou, Long Feng

arXiv preprint

2026

Learning CNN Filters via Generalized Stein's Method

Guang Yang, Wei Shi, Yuan Cao, Long Feng

arXiv preprint

2026

FedFrozen: Two-Stage Federated Optimization via Attention Kernel Freezing

Junye Du, Zhenghao Li, Yushi Feng, Long Feng

arXiv preprint

2026

What Should Federated LoRA Share? FedSAIL via Input-aware Subspace Alignment

Junye Du, Shuaida He, Long Feng

arXiv preprint

2026

Factor-Adjusted Location Tests for High-Dimensional Time Series

Jiyang Wang, Xifen Huang, Long Feng

arXiv preprint

2026

Testing Alpha in High-Dimensional Conditional Time-Varying Factor Models with Dependent Observations

Long Feng, Huifang Ma, Zhaojun Wang

arXiv preprint

2026

Rank-Based Tests for Mutual Independence of High-Dimensional Random Vectors via $L_q$ Norm

Ping Zhao, Hongfei Wang, Long Feng

arXiv preprint

2026

High-Dimensional Data Analysis for Elliptically Symmetric Distributions

Long Feng

arXiv preprint

2026

High dimensional alpha test for linear factor pricing model with $L_q$-norm

Ping Zhao, Huifang Ma, Long Feng

arXiv preprint

2026

High-Dimensional Change Point Analysis for Temporally Dependent Data

Xiaoyi Wang, Le Zhou, Jixuan Liu, Long Feng

arXiv preprint

2025

High dimensional Mean Test for Temporal Dependent Data

Yuchen Hu, Xiaoyi Wang, Long Feng

arXiv preprint

2025

Robust Sparse Precision Matrix Estimation and its Application

Zhengke Lu, Long Feng

arXiv preprint

2025

High Dimensional Sparse Canonical Correlation Analysis for Elliptical Symmetric Distributions

Chengde Qian, Yanhong Liu, Long Feng

arXiv preprint

2025

High dimensional matrix estimation through elliptical factor models

Xinyue Xu, Huifang Ma, Hongfei Wang, Long Feng

arXiv preprint

2025

A Spatial-Sign based Direct Approach for High Dimensional Sparse Quadratic Discriminant Analysis

Anqing Shen, Long Feng

arXiv preprint

2025

Tensor Elliptical Graphic Model

Jixuan Liu, Zhengke Lu, Le Zhou, Long Feng, Zhaojun Wang

arXiv preprint

2025

Spatial-Sign based High dimensional Change Point Inference

Jixuan Liu, Long Feng, Liuhua Peng, Zhaojun Wang

arXiv preprint

2025

High-Dimensional Hettmansperger-Randles Estimator and its Applications

Guowei Yan, Long Feng, Xiaoxu Zhang

arXiv preprint

2025

Adaptive Change Point Inference for High Dimensional Time Series with Temporal Dependence

Xiaoyi Wang, Jixuan Liu, Long Feng

arXiv preprint

2025

A Goodness-of-Fit Test for Sparse Networks

Yujia Wu, Wei Lan, Long Feng, Chih-Ling Tsai

arXiv preprint

2025

Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data

Sanyou Wu, Dan Yang, Yan Xu, Long Feng

arXiv preprint

2025

Data Privatization in Vertical Federated Learning with Client-wise Missing Problem

Huiyun Tang, Long Feng, Yang Li, Feifei Wang

arXiv preprint

2025

Functional Change Point Detection via Adjacent Deviation Subspace

Luoyao Yu, Long Feng, Xuehu Zhu

arXiv preprint

2025

A Nonparametric Statistics Approach to Feature Selection in Deep Neural Networks with Theoretical Guarantees

Junye Du, Zhenghao Li, Zhutong Gu, Long Feng

arXiv preprint

2025

Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow

Juexiao Zhou, Zhongyi Han, Mankun Xin, Xingwei He, Guotao Wang, Jiaoyan Song, Gongning Luo, Wenjia He, Xintong Li, Yuetan Chu, Juanwen Chen, Bo Wang, Xia Wu, Wenwen Duan, Zhixia Guo, Liyan Bai, Yilin Pan, Xuefei Bi, Lu Liu, Long Feng, Xiaonan He, Xin Gao

arXiv preprint

2025

Nonlinear Multiple Response Regression and Learning of Latent Spaces

Ye Tian, Sanyou Wu, Long Feng

arXiv preprint

2025

Enterprise Profit Prediction Using Multiple Data Sources with Missing Values through Vertical Federated Learning

Huiyun Tang, Feifei Wang, Long Feng, Yang Li

arXiv preprint

2025

Inverse Norm Weighted Maxsum Test for High Dimensional Location Parameters

Guowei Yan, Ping Zhao, Long Feng

arXiv preprint

2025

Spatial Sign based Direct Sparse Linear Discriminant Analysis for High Dimensional Data

Dan Zhuang, Long Feng

arXiv preprint

2024

Testing Alpha in High Dimensional Linear Factor Pricing Models with Dependent Observations

Huifang Ma, Long Feng, Zhaojun Wang, Jigang Bao

arXiv preprint

2024

Testing Independence Between High-Dimensional Random Vectors Using Rank-Based Max-Sum Tests

Hongfei Wang, Binghui Liu, Long Feng

arXiv preprint

2024

Adaptive Sphericity Tests for High Dimensional Data

Ping Zhao, Wenwan Yang, Long Feng, Zhaojun Wang

arXiv preprint

2024

Spatial-Sign based Maxsum Test for High Dimensional Location Parameters

Jixuan Liu, Long Feng, Ping Zhao, Zhaojun Wang

arXiv preprint

2024

Adaptive L-statistics for high dimensional test problem

Huifang Ma, Long Feng, Zhaojun Wang

arXiv preprint

2024

Double Robust high dimensional alpha test for linear factor pricing model

Ping Zhao, Long Feng, Hongfei Wang, Zhaojun Wang

arXiv preprint

2024

Spatial Sign based Principal Component Analysis for High Dimensional Data

Ping Zhao, Hongfei Wang, Long Feng

arXiv preprint

2024

A General Framework of Brain Region Detection And Genetic Variants Selection in Imaging Genetics

Siqiang Su, Zhenghao Li, Long Feng, Ting Li

arXiv preprint

2024

Time Series Generative Learning with Application to Brain Imaging Analysis

Zhenghao Li, Sanyou Wu, Long Feng

arXiv preprint

2024

Adaptive Strategy of Testing Alphas in High Dimensional Linear Factor Pricing Models

Chenxi Zhao, Ping Zhao, Long Feng, Zhaojun Wang

arXiv preprint

2023

Adaptive Rank-based Tests for High Dimensional Mean Problems

Yu Zhang, Long Feng

arXiv preprint

2023

Limit Law for the Maximum Interpoint Distance of High Dimensional Dependent Variables

Guowei Yan, Long Feng

arXiv preprint

2023

Fisher's combined probability test for cross-sectional independence in panel data models with serial correlation

Hongfei Wang, Binghui Liu, Long Feng, Yanyuan Ma

arXiv preprint

2022

Computationally efficient and data-adaptive changepoint inference in high dimension

Guanghui Wang, Long Feng

arXiv preprint

2022

Testing for high-dimensional white noise

Long Feng, Binghui Liu, Yanyuan Ma

arXiv preprint

2022

Asymptotic Independence of the Sum and Maximum of Dependent Random Variables with Applications to High-Dimensional Tests

Long Feng, Tiefeng Jiang, Xiaoyun Li, Binghui Liu

arXiv preprint

2022

Asymptotic Independence of the Quadratic form and Maximum of Independent Random Variables with Applications to High-Dimensional Tests

Dachuan Chen, Decai Liang, Long Feng

arXiv preprint

2022

Rank Based Tests for High Dimensional White Noise

Dachuan Chen, Fengyi Song, Long Feng

arXiv preprint

2022

Sparse Kronecker Product Decomposition: A General Framework of Signal Region Detection in Image Regression

Sanyou Wu, Long Feng

arXiv preprint

2022

Deep Kronecker Network

Long Feng, Guang Yang

arXiv preprint

DOI

2020

Projected Robust PCA with Application to Smooth Image Recovery

Long Feng, Junhui Wang

arXiv preprint

2020

Max-sum tests for cross-sectional dependence of high-demensional panel data

Long Feng, Tiefeng Jiang, Binghui Liu, Wei Xiong

arXiv preprint

2018

Power Comparison between High Dimensional t-Test, Sign, and Signed Rank Tests

Long Feng

arXiv preprint

2017

Sorted Concave Penalized Regression

Long Feng, Cun-Hui Zhang

arXiv preprint

2016

Approximate nonparametric maximum likelihood inference for mixture models via convex optimization

Long Feng, Lee H. Dicker

arXiv preprint

2015

Scalar-Invariant Test for High-Dimensional Regression Coefficients

Long Feng

arXiv preprint

2015

A Note on High Dimensional Two Sample Mean Test

Long Feng, Fasheng Sun

arXiv preprint

2015

Spatial-Sign based High-Dimensional Location Test

Long Feng, Fasheng Sun

arXiv preprint

2015

High Dimensional Spatial Rank Test for Two-Sample Location Problem

Long Feng

arXiv preprint

2015

Optimal Sign Test for High Dimensional Location Parameters

Long Feng

arXiv preprint

2015

High Dimensional Rank Tests for Sphericity

Long Feng

arXiv preprint

2014

Nonparametric maximum likelihood approach to multiple change-point problems

Changliang Zou, Guosheng Yin, Long Feng, Zhaojun Wang

arXiv preprint

DOI

精选作品

期刊论文

The green innovation effect of environmental regulations: a quasinatural experiment based on China’s consumption tax policy on batteries and coatings

A study on factors influencing the national carbon emission trading price in China

Environmental and economic impact analysis of levying VOCs environmental protection tax in China

Research on the Evaluation of China's Provincial Circular Economy in the New Situation

Latest Progress Review of China's Environmental Protection Tax Policy Implementation

A Pilot Study on Green Economy Policy Assessment of the United Nations—Taking the Assessment of Ecological Compensation Policy in Hainan Province of China as an Example

Waste Electrical and Electronic Fund Policy: Current Status and Evaluation of Implementation in China

Study on carbon emission reduction effect of environmental protection tax in China

Study on the relationship between provincial tax rates of EPT and selected parameters in China

Policy Design of Environmental Tax in China

China’s Total Emission Control Policy: A Critical Review

VEAs Pattern in China: Is It a Good Choice for Environmental Management?

预印本

High-Dimensional Tests for Elliptical Models via Radial--Directional Dependence

Conditional Rank-Rank Regression via Deep Conditional Transformation Models

Elliptical Regularized Hotelling Testing for High Dimensional Data

Adaptive Ridge-Regularized Hotelling Change-Point Tests for Functional Data

Nonparametric Change-Point Detection and Inference for High-Dimensional Distributions

Diagonalized Attention for Individualized Regression: Latent-Row Localization and Prediction

Two-sample tests for principal eigenvalues and eigenvectors in high-dimensional elliptical factor models

Semiparametric Elliptical Mixture Clustering for High-Dimensional Data

Cauchy Aggregation of Ridge-Regularized Hotelling Tests for High-Dimensional Change-Point Detection

Adaptive Test for Jump

Rank-Based Sparse Regression in Principal Components Space under Measurement Error

Sparse $K$-spatial-median clustering for high-dimensional data

Cauchy-Combined Hettmansperger-Randles Location Tests in High Dimensions

High Dimensional Bootstrap and Asymptotic Expansion for the $k$-th Largest Coordinate

Maximum-of-Differences Test for Comparing Multivariate K-Sample Distributions

Elliptical Regularized Hotelling Tests for High-Dimensional Change-Point Detection

Note on High Dimensional Spatial-Sign Test for One Sample Problem

Difference-Based High-Dimensional Long-Run Covariance Matrix Estimation for Mean-shift Time Series

High-Dimensional Two-Sample Test for Elliptical Symmetry Distribution

High-Dimensional Two-Sample Inference via Marginal Likelihood-Ratio Rank Statistics

Federated LoRA Fine-Tuning for LLMs via Collaborative Alignment

CORA: Conformal Risk-Controlled Agents for Safeguarded Mobile GUI Automation

Semi-Supervised Generative Learning via Latent Space Distribution Matching

Spatial-sign-based multilinear principal component analysis for tensor data

Learning CNN Filters via Generalized Stein's Method

FedFrozen: Two-Stage Federated Optimization via Attention Kernel Freezing

What Should Federated LoRA Share? FedSAIL via Input-aware Subspace Alignment

Factor-Adjusted Location Tests for High-Dimensional Time Series

Testing Alpha in High-Dimensional Conditional Time-Varying Factor Models with Dependent Observations

Rank-Based Tests for Mutual Independence of High-Dimensional Random Vectors via $L_q$ Norm

High-Dimensional Data Analysis for Elliptically Symmetric Distributions

High dimensional alpha test for linear factor pricing model with $L_q$-norm

High-Dimensional Change Point Analysis for Temporally Dependent Data

High dimensional Mean Test for Temporal Dependent Data

Robust Sparse Precision Matrix Estimation and its Application

High Dimensional Sparse Canonical Correlation Analysis for Elliptical Symmetric Distributions

High dimensional matrix estimation through elliptical factor models

A Spatial-Sign based Direct Approach for High Dimensional Sparse Quadratic Discriminant Analysis

Tensor Elliptical Graphic Model

Spatial-Sign based High dimensional Change Point Inference

High-Dimensional Hettmansperger-Randles Estimator and its Applications

Adaptive Change Point Inference for High Dimensional Time Series with Temporal Dependence

A Goodness-of-Fit Test for Sparse Networks

Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data

Data Privatization in Vertical Federated Learning with Client-wise Missing Problem

Functional Change Point Detection via Adjacent Deviation Subspace

A Nonparametric Statistics Approach to Feature Selection in Deep Neural Networks with Theoretical Guarantees

Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow

Nonlinear Multiple Response Regression and Learning of Latent Spaces

Enterprise Profit Prediction Using Multiple Data Sources with Missing Values through Vertical Federated Learning

Inverse Norm Weighted Maxsum Test for High Dimensional Location Parameters

Spatial Sign based Direct Sparse Linear Discriminant Analysis for High Dimensional Data

Testing Alpha in High Dimensional Linear Factor Pricing Models with Dependent Observations

Testing Independence Between High-Dimensional Random Vectors Using Rank-Based Max-Sum Tests

Adaptive Sphericity Tests for High Dimensional Data

Spatial-Sign based Maxsum Test for High Dimensional Location Parameters

Adaptive L-statistics for high dimensional test problem

Double Robust high dimensional alpha test for linear factor pricing model

Spatial Sign based Principal Component Analysis for High Dimensional Data

A General Framework of Brain Region Detection And Genetic Variants Selection in Imaging Genetics

Time Series Generative Learning with Application to Brain Imaging Analysis

Adaptive Strategy of Testing Alphas in High Dimensional Linear Factor Pricing Models

Adaptive Rank-based Tests for High Dimensional Mean Problems

Limit Law for the Maximum Interpoint Distance of High Dimensional Dependent Variables

Fisher's combined probability test for cross-sectional independence in panel data models with serial correlation