百晓学者学者目录

黄舰

教授，复旦大学

精选作品

期刊论文

2026

中国人群臭氧暴露与健康风险：基于2013—2023年MDA8 O3数据的分析

舒怡澜，汪慧娟，黄舰，樊正球

《复旦学报(自然科学版)》

DOI

2023

Money is not everything: funding investment and dual performance of key universities in China

Shunli Qiu, Qinwei Cao, Peng Xie, Jian Huang

Technology Analysis & Strategic Management，Vol. 350, No. 7

DOI

2023

HETEROGENEITY ANALYSIS VIA INTEGRATING MULTI-SOURCES HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO CANCER STUDIES

Tingyan Zhong, Qingzhao Zhang, Jian Huang, Mengyun Wu, Shuang-Ge Ma

Statistica sinica

DOI

2022

Contradiction and mechanism analysis of science and technology input-output: Evidence from key universities in China

Qinwei Cao, Shunli Qiu, Jian Huang

Socio-Economic Planning Sciences，Vol. 79

DOI

2022

Can emerging economies take advantage of their population size to gain international academic recognition? Evidence from key universities in China

Qinwei Cao, Manqing Tan, Peng Xie, Jian Huang

Scientometrics，Vol. 1270, No. 2

DOI

2022

Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors

Xiaobo Wang, Jia-Yu Huang, G. Yin, Jian Huang, Yuan-Shan Wu

Lifetime Data Analysis

DOI

2022

Response Best-subset Selector for Multivariate Regression with High-dimensional Response Variables

Jianhua Hu, Jian Huang, Xiao-Qian Liu, Xu Liu

Biometrika

DOI

2022

Inference on High-dimensional Single-index Models with Streaming Data

Dongxiao Han, Jinhan Xie, Jin Liu, Liu-Quan Sun, Jian Huang, Bei Jiang, Linglong Kong

Journal of machine learning research

2022

Linearized Maximum Rank Correlation Estimation

Guohao Shen, Ka-Ni Chen, Jian Huang, Yuan-Yuan Lin

Biometrika

DOI

2022

Bayesian Hierarchical Finite Mixture of Regression for Histopathological Imaging-based Cancer Data Analysis

Yunju Im, Yuan Huang, Jian Huang, Shuang-Ge Ma

Statistics in Medicine

DOI

2021

Online Debiased Lasso

Lan Luo, Yuan-Yuan Lin, Jian Huang

2021

Hierarchical cancer heterogeneity analysis based on histopathological imaging features

Mingyang Ren, Qingzhao Zhang, Sanguo Zhang, Tingyan Zhong, Jian Huang, Shuang-Ge Ma

Biometrics

DOI

2021

Projection‐based and cross‐validated estimation in high‐dimensional Cox model

Haixiang Zhang, Jian Huang, Liu-Quan Sun

Scandinavian Journal of Statistics

DOI

2020

Subgroup analysis in the heterogeneous Cox model

Xiangbin Hu, Jian Huang, Li Liu, De-Feng Sun, Xingqiu Zhao

Statistics in Medicine

DOI

2020

Model pursuit and variable selection in the additive accelerated failure time model

Li Liu, Hao Wang, Yan-Yan Liu, Jian Huang

Statistical Papers

DOI

2020

Histopathological imaging-based cancer heterogeneity analysis via penalized fusion with model averaging

Baihua He, Tingyan Zhong, Jian Huang, Yan-Yan Liu, Qingzhao Zhang, Shuang-Ge Ma

Biometrics

DOI

2020

A rank-based approach to estimating monotone individualized two treatment regimes

Haixiang Zhang, Jian Huang, Liu-Quan Sun

Computational Statistics & Data Analysis

DOI

2019

INFERENCE FOR LOW-DIMENSIONAL COVARIATES IN A HIGH-DIMENSIONAL ACCELERATED FAILURE TIME MODEL

Hao Chai, Qingzhao Zhang, Jian Huang, Shuang-Ge Ma

Statistica sinica

DOI

2019

CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies

Yezhou Yang, Xingjie Shi, Yu-Ling Jiao, Jian Huang, Min Chen, Xiaoping Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu

bioRxiv

DOI

2019

High-dimensional integrative analysis with homogeneity and sparsity recovery

Xinfeng Yang, Xiao-Dong Yan, Jian Huang

Journal of Multivariate Analysis

DOI

2019

A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies

Xingjie Shi, Xiaoran Chai, Yi Yang, Qing Cheng, Yu-Ling Jiao, Haoyue Chen, Jian Huang, Can Yang, Jin Liu

bioRxiv

DOI

2018

A Forward and Backward Stagewise Algorithm for Nonconvex Loss Functions with Adaptive Lasso

Xingjie Shi, Yuan Huang, Jian Huang, Shuang-Ge Ma

Computational Statistics & Data Analysis

DOI

2018

Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space

Shao-Gao Lv, Huazhen Lin, H. Lian, Jian Huang

DOI

2018

Estimating high‐dimensional additive Cox model with time‐dependent covariate processes

Shao-Gao Lv, Jia-Kun Jiang, Fanyin Zhou, Jian Huang, Huazhen Lin

DOI

2018

On the sign consistency of the Lasso for the high-dimensional Cox model

Shao-Gao Lv, Mengying You, Huazhen Lin, H. Lian, Jian Huang

Journal of Multivariate Analysis

DOI

2018

LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies

Yi Yang, Mingwei Dai, Jian Huang, Xinyi Lin, Can Yang, Min Chen, Jin Liu

BMC Genomics

DOI

2017

ORACLE INEQUALITIES AND SELECTION CONSISTENCY FOR WEIGHTED LASSO IN HIGH-DIMENSIONAL ADDITIVE HAZARDS MODEL

Haixiang Zhang, Liu-Quan Sun, Yong Zhou, Jian Huang

2017

Accommodating missingness in environmental measurements in gene-environment interaction analysis

Mengyun Wu, Yangguang Zang, Sanguo Zhang, Jian Huang, Shuang-Ge Ma

Genetic Epidemiology

DOI

2017

Penalized Integrative Analysis of High-dimensional Omics Data

Jin Liu, Xingjie Shi, Jian Huang, Shuang-Ge Ma, G. Tseng, D. Ghosh, X. Zhou

DOI

2017

Identifying gene-gene interactions using penalized tensor regression

Mengyun Wu, Jian Huang, Shuang-Ge Ma

Statistics in Medicine

DOI

2017

Statistica Sinica Preprint No : SS-2016-0449 . R 2 Title Inference for Low-Dimensional Covariates in a High-Dimensional Accelerated Failure

Hao Chai, Qingzhao Zhang, Jian Huang, Shuang-Ge Ma

2017

Statistica Sinica Preprint No : SS-2015-0075 R 1 Title Oracle inequalities and selection consistency for weighted Lasso in additive hazards mode

Haixiang Zhang, Liu-Quan Sun, Yong Zhou, Jian Huang

2016

Asymptotic properties of Lasso in high-dimensional partially linear models

Chi Ma, Jian Huang

DOI

2016

Analyzing Association Mapping in Pedigree-Based GWAS Using a Penalized Multitrait Mixed Model

Jin Liu, Can Yang, Xingjie Shi, Cong Li, Jian Huang, Hong-Yu Zhao, Shuang-Ge Ma

Genetic Epidemiology

DOI

2016

Exploration of Heterogeneous Treatment Effects via Concave Fusion

Shu-Jie Ma, Jian Huang, Zhiwei Zhang, Mingming Liu

The International Journal of Biostatistics

DOI

2016

A global partial likelihood estimation in the additive Cox proportional hazards model

Huazhen Lin, Ye He, Jian Huang

DOI

2016

Sieve estimation of Cox models with latent structures

Yong-Xiu Cao, Jian Huang, Yan-Yan Liu, Xingqiu Zhao

Biometrics

DOI

2016

Semi-Penalized Inference with False Discovery Rate Control in High-dimensional Linear Regression

Jian Huang, Jin Liu, Shuang-Ge Ma, Cun-Hui Zhang, Yong Zhou

2016

Semiparametric inference for the proportional mean residual life model with right-censored length-biased data

Fangfang Bai, Jian Huang, Yong Zhou

DOI

2016

Bayesian inference for high‐dimensional linear regression under mnet priors

Ai-Xin Tan, Jian Huang

DOI

2016

THE Mnet method for variable selection

Jian Huang, Patrick J. Breheny, Sangin Lee, Shuang-Ge Ma, Cun-Hui Zhang

DOI

2015

Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach

Xingjie Shi, Qing Zhao, Jian Huang, Yang Xie, Shuang-Ge Ma

Bioinform.

DOI

2015

Semiparametric Longitudinal Model with Irregular Time autoregressive error process

Yang Bai, Jian Huang, Rui Li, Jinhong You

DOI

2015

Promoting Similarity of Sparsity Structures in Integrative Analysis with Penalization

Yuan Huang, Qingzhao Zhang, Sanguo Zhang, Jian Huang, Shuang-Ge Ma

Journal of the American Statistical Association

DOI

2015

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA

Qing Zhao, Xingjie Shi, Yang Xie, Jian Huang, B. Shia, Shuang-Ge Ma

Briefings Bioinform.

DOI

2015

Penalized integrative analysis under the accelerated failure time model

Qingzhao Zhang, Sanguo Zhang, Jin Liu, Jian Huang, Shuang-Ge Ma

DOI

2015

Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression

Cong-Rui Yi, Jian Huang

DOI

2015

Concave 1-norm group selection.

Dingfeng Jiang, Jian Huang

Biostatistics

DOI

2015

A Concave Pairwise Fusion Approach to Subgroup Analysis

Shu-Jie Ma, Jian Huang

DOI

2014

SEMIPARAMETRIC ESTIMATION OF TREATMENT EFFECTS IN TWO SAMPLE PROBLEMS WITH CENSORED DATA

Fangfang Bai, Jian Huang, Yong Zhou

DOI

2014

Integrative Analysis of High-throughput Cancer Studies with Contrasted Penalization

Xingjie Shi, Jin Liu, Jian Huang, Yong Zhou, B. Shia, Shuang-Ge Ma

Genetic Epidemiology

DOI

2014

Integrative Analysis of “-Omics” Data Using Penalty Functions

Qing Zhao, Xingjie Shi, Jian Huang, Jin Liu, Yang Li, Shuang-Ge Ma

Wiley Interdisciplinary Reviews: Computational Statistics

DOI

2014

Similarity of markers identified from cancer gene expression studies: observations from GEO

Xingjie Shi, Shihao Shen, Jin Liu, Jian Huang, Yong Zhou, Shuang-Ge Ma

Briefings Bioinform.

DOI

2014

Group selection in the cox model with a diverging number of covariates

Jian Huang, Li Liu, Yan-Yan Liu, Xingqiu Zhao

DOI

2014

Penalized multivariate linear mixed model for longitudinal genome-wide association studies

Jin Liu, Jian Huang, Shuang-Ge Ma

BMC Proceedings

DOI

2014

Concave group methods for variable selection and estimation in high-dimensional varying coefficient models

Guang-Ren Yang, Jian Huang, Yong Zhou

Science China Mathematics

DOI

2013

ORACLE INEQUALITIES FOR THE LASSO IN THE COX MODEL

Jian Huang, Tingni Sun, Z. Ying, Yibin Yu, Cun-Hui Zhang

Annals of Statistics

DOI

2013

Identification of gene–environment interactions in cancer studies using penalization

Jin Liu, Jian Huang, Ya-Wei Zhang, Q. Lan, N. Rothman, T. Zheng, Shuang-Ge Ma

Genomics

DOI

2013

Integrative analysis of multiple cancer genomic datasets under the heterogeneity model

Jin Liu, Jian Huang, Shuang-Ge Ma

Statistics in Medicine

DOI

2013

Balancing stability and bias reduction in variable selection with the Mnet estimator

Jian Huang, Patrick J. Breheny, Sangin Lee, Shuang-Ge Ma, Cun-Hui Zhang

2013

Accounting for linkage disequilibrium in genome-wide association studies: A penalized regression method

Jin Liu, Kai Wang, Shuang-Ge Ma, Jian Huang

Statistics and its Interface

DOI

2013

Incorporating group correlations in genome-wide association studies using smoothed group Lasso.

Jin Liu, Jian Huang, Shuang-Ge Ma, Kai Wang

Biostatistics

DOI

2013

Integrative Analysis of Prognosis Data on Multiple Cancer Subtypes

Jin Liu, Jian Huang, Ya-Wei Zhang, Q. Lan, N. Rothman, T. Zheng, Shuang-Ge Ma

Biometrics

DOI

2013

The cross-validated AUC for MCP-logistic regression with high-dimensional data

Dingfeng Jiang, Jian Huang, Ying Zhang

Statistical Methods in Medical Research

DOI

2013

Majorization Minimization by Coordinate Descent for Concave Penalized Generalized Linear Models

Dingfeng Jiang, Jian Huang

Statistics and computing

DOI

2013

Integrative Analysis of Multiple Cancer Prognosis Datasets Under the Heterogeneity Model

Jin Liu, Jian Huang, Shuang-Ge Ma

DOI

2013

Sparse Group Penalized Integrative Analysis of Multiple Cancer Prognosis Datasets

Jin Liu, Jian Huang, Yang Xie, Shuang-Ge Ma

Genetics Research

DOI

2012

Identification of Breast Cancer Prognosis Markers via Integrative Analysis

Shuang-Ge Ma, Ying Dai, Jian Huang, Yang Xie

Computational Statistics & Data Analysis

DOI

2012

Incorporating Network Structure in Integrative Analysis of Cancer Prognosis Data

Jin Liu, Jian Huang, Shuang-Ge Ma

Genetic Epidemiology

DOI

2012

Gene network-based cancer prognosis analysis with sparse boosting

Shuang-Ge Ma, Yuan Huang, Jian Huang, Kuang-Nan Fang

Genetics Research

DOI

2012

Semiparametric Regression Pursuit

Jian Huang, Fengrong Wei, Shuang-Ge Ma

Statistica sinica

DOI

2012

A Selective Review of Group Selection in High-Dimensional Models

Jian Huang, Patrick J. Breheny, Shuang-Ge Ma

Statistical Science

DOI

2012

Integrative prescreening in analysis of multiple cancer genomic studies

Rui Song, Jian Huang, Shuang-Ge Ma

BMC Bioinformatics

DOI

2012

Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization

Jin Liu, Jian Huang, Shuang-Ge Ma

Scandinavian journal of statistics, theory and applications

DOI

2012

Penalized estimation of high-dimensional models under a generalized sparsity condition

J. Horowitz, Jian Huang

DOI

2012

Integrative Analysis of Cancer Prognosis Data with Multiple Subtypes Using Regularized Gradient Descent

Shuang-Ge Ma, Ya-Wei Zhang, Jian Huang, Yuan Huang, Q. Lan, N. Rothman, T. Zheng

Genetic Epidemiology

DOI

2012

Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization

Jin Liu, Jian Huang, Shuang-Ge Ma

PLoS ONE

DOI

2012

Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

Patrick J. Breheny, Jian Huang

Statistics and computing

DOI

2012

Identification of cancer genomic markers via integrative sparse boosting.

Yuan Huang, Jian Huang, B. Shia, Shuang-Ge Ma

Biostatistics

DOI

2012

Consistent Variance Estimation in Semiparametric Models with Application to Interval-Censored Data

Jian Huang, Y. Zhang, Lei Hua

DOI

2012

Identification of Breast Cancer Prognosis Markers using Integrative Sparse Boosting

Shuang-Ge Ma, Jian Huang, Yang Xie, Nengjun Yi

Methods of Information in Medicine

DOI

2011

Treating phenotype as given: a simple resampling method for genome-wide association studies

Kai Wang, Jian Huang

BMC Proceedings

DOI

2011

Regularized regression method for genome-wide association studies

Jin Liu, Kai Wang, Shuang-Ge Ma, Jian Huang

BMC Proceedings

DOI

2011

Integrative analysis of multiple cancer prognosis studies with gene expression measurements

Shuang-Ge Ma, Jian Huang, Fengrong Wei, Yang Xie, Kuang-Nan Fang

Statistics in Medicine

DOI

2011

Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications

Jian Huang, Cun-Hui Zhang

Journal of machine learning research

DOI

2011

The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression

Jian Huang, Shuang-Ge Ma, Hongzhe Li, Cun-Hui Zhang

Annals of Statistics

DOI

2011

Integrative analysis and variable selection with multiple high-dimensional data sets.

Shuang-Ge Ma, Jian Huang, Xiao Song

Biostatistics

DOI

2011

COORDINATE DESCENT ALGORITHMS FOR NONCONVEX PENALIZED REGRESSION, WITH APPLICATIONS TO BIOLOGICAL FEATURE SELECTION

Patrick J. Breheny, Jian Huang

Annals of Applied Statistics

DOI

2011

VARIABLE SELECTION AND ESTIMATION IN HIGH-DIMENSIONAL VARYING-COEFFICIENT MODELS

Fengrong Wei, Jian Huang, Hongzhe Li

Statistica sinica

DOI

2011

Penalized Methods for Multiple Outcome Data in Genome-Wide Association Studies

Jin Liu, Shuang-Ge Ma, Jian Huang

2011

Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis

Shuang-Ge Ma, M. Kosorok, Jian Huang, Ying Dai

BMC Medical Genomics

DOI

2010

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method

Shuang-Ge Ma, Ya-Wei Zhang, Jian Huang, Xue-Song Han, T. Holford, Q. Lan, N. Rothman, P. Boyle, T. Zheng

Bioinform.

DOI

2010

Consistent group selection in high-dimensional linear regression

Fengrong Wei, Jian Huang

Bernoulli

DOI

2010

A robust penalized method for the analysis of noisy DNA copy number data

Xiaoli Gao, Jian Huang

BMC Genomics

DOI

2010

A Spline‐Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval‐Censored Data

Ying Zhang, Lei Hua, Jian Huang

DOI

2010

Semiparametric prognosis models in genomic studies

Shuang-Ge Ma, Jian Huang, Mingyu Shi, Yang Li, B. Shia

Briefings Bioinform.

DOI

2010

Identification of Predictive Pathways for Non-Hodgkin Lymphoma Prognosis

Xue-Song Han, Yang Li, Jian Huang, Ya-Wei Zhang, T. Holford, Q. Lan, N. Rothman, T. Zheng, M. Kosorok, Shuang-Ge Ma

Cancer Informatics

DOI

2010

VARIABLE SELECTION IN NONPARAMETRIC ADDITIVE MODELS

Jian Huang, J. Horowitz, Fengrong Wei

Annals of Statistics

DOI

2009

SCAD-penalized regression in high-dimensional partially linear models

Hui-Liang Xie, Jian Huang

DOI

2009

A Group Bridge Approach for Variable Selection

Jian Huang, Shuang-Ge Ma, Hui-Liang Xie, Cun-Hui Zhang

Biometrika

DOI

2009

Identification of genes associated with multiple cancers via integrative analysis

Shuang-Ge Ma, Jian Huang, M. Moran

BMC Genomics

DOI

2009

Semiparametric Estimation Methods for Panel Count Data Using Monotone B-Splines

Minggen Lu, Ying Zhang, Jian Huang

DOI

2009

Penalized methods for bi-level variable selection

Patrick J. Breheny, Jian Huang

Statistics and its Interface

DOI

2009

Variable selection in the accelerated failure time model via the bridge method

Jian Huang, Shuang-Ge Ma

Lifetime Data Analysis

DOI

2009

Identification of cancer-associated gene clusters and genes via clustering penalization

Shuang-Ge Ma, Jian Huang, Shihao Shen

Statistics and its Interface

DOI

2008

The Iterated Lasso for High-Dimensional Logistic Regression By

Jian Huang

2008

Adaptive Lasso for sparse high-dimensional regression models

Jian Huang, Shuang-Ge Ma, Cun-Hui Zhang

2008

A Least-Squares Approach to Consistent Information Estimation in Semiparametric Models

Jian Huang, Ying Zhang, Lei Hua

2008

The sparsity and bias of the Lasso selection in high-dimensional linear regression

Cun-Hui Zhang, Jian Huang

DOI

2008

Asymptotic properties of bridge estimators in sparse high-dimensional regression models

Jian Huang, J. Horowitz, Shuang-Ge Ma

DOI

2008

Penalized feature selection and classification in bioinformatics

Shuang-Ge Ma, Jian Huang

Briefings Bioinform.

DOI

2007

A semiparametric approach for the nonparametric transformation survival model with multiple covariates.

Xiao Song, Shuang-Ge Ma, Jian Huang, Xiao-Hua Zhou

Biostatistics

DOI

2007

Estimation of the mean function with panel count data using monotone polynomial splines

Minggen Lu, Ying Zhang, Jian Huang

DOI

2007

Regularized biomarker selection in microarray meta-analysis

Shuang-Ge Ma, Jian Huang

2007

Least absolute deviations estimation for the accelerated failure time model

Jian Huang, Shuang-Ge Ma, Hui-Liang Xie

2007

Combining Multiple Markers for Classification Using ROC

Shuang-Ge Ma, Jian Huang

Biometrics

DOI

2007

Asymptotic oracle properties of SCAD-penalized least squares estimators

Jian Huang, Hui-Liang Xie

DOI

2007

Combining Clinical and Genomic Covariates via Cov-TGDR

Shuang-Ge Ma, Jian Huang

Cancer Informatics

DOI

2006

A Two-Way Semilinear Model for Normalization and Analysis of Microarray Data

Jian Huang, Cun-Hui Zhang

DOI

2006

Robust Semiparametric Microarray Normalization and Significance Analysis

Shuang-Ge Ma, M. Kosorok, Jian Huang, Hehuang Xie, Liliana Manzella, Marcelo Bento Soares

Biometrics

DOI

2006

Regularized Estimation in the Accelerated Failure Time Model with High‐Dimensional Covariates

Jian Huang, Shuang-Ge Ma, Hui-Liang Xie

Biometrics

DOI

2005

A Two-Way Semilinear Model for Normalization and Analysis of cDNA Microarray Data

Jian Huang, De-Li Wang, Cun-Hui Zhang

DOI

2005

Regularized ROC method for disease classification and biomarker selection with microarray data

Shuang-Ge Ma, Jian Huang

Bioinform.

DOI

2005

A robust two-way semi-linear model for normalization of cDNA microarray data

De-Li Wang, Jian Huang, Hehuang Xie, Liliana Manzella, M. Soares

BMC Bioinformatics

DOI

2005

Comment

Jian Huang, Cun-Hui Zhang

DOI

2005

Regularized ROC Estimation : With Applications to Disease Classification Using Microarray Data

Shuang-Ge Ma, Jian Huang

2005

LASSO Method for Additive Risk Models with High Dimensional Covariates

Shuang-Ge Ma, Jian Huang

2005

Threshold Gradient Descent Regularization in the Additive Risk Model with High-Dimensional Covariates

Shuang-Ge Ma, Jian Huang

2003

Asymptotic Analysis of A Two-Way Semiparametric Regression Model for Microarray Data

Jian Huang, Cun-Hui Zhang

2002

A note on estimating a partly linear model under monotonicity constraints

Jian Huang

DOI

2002

Limiting distribution for monotone median regression

Ya-Zhen Wang, Jian Huang

DOI

2000

ASYMPTOTIC PROPERTIES OF NONPARAMETRIC ESTIMATION BASED ON PARTLY INTERVAL-CENSORED DATA

Jian Huang

1999

Efficient estimation of the partly linear additive Cox model

Jian Huang

DOI

1997

Interval Censored Survival Data: A Review of Recent Progress

Jian Huang, J. Wellner

DOI

1997

Asymptotic properties of the NPMLE of a distribution function based on ranked set samples

Jian Huang

DOI

1997

Sieve Estimation for the Proportional-Odds Failure-Time Regression Model with Interval Censoring

Jian Huang, A. Rossini

DOI

1996

Efficient estimation for the proportional hazards model with interval censoring

Jian Huang

DOI

1996

ASYMPTOTIC THEORY FOR NONPARAMETRIC ESTIMATION OF SURVIVAL CURVES UNDER ORDER RESTRICTIONS

Jens Thomas Præstgaard, Jian Huang

DOI

1995

Asymptotic normality of the NPMLE of linear functionals for interval censored data, case 1

Jian Huang, J. Wellner

DOI

1995

Maximum likelihood estimation for proportional odds regression model with current status data

Jian Huang

DOI

1995

Estimation of a Monotone Density or Monotone Hazard Under Random Censoring

Jian Huang, J. Wellner

1993

MAXIMUM SCORED LIKELIHOOD ESTIMATION OF A LINEAR REGRESSION MODEL WITH INTERVAL CENSORED DATA

Jian Huang

1993

Regression Models with Interval Censoring

Jian Huang, J. Wellner

预印本

2026

Auto-Scaling Heterogeneous Neural Processing Units for Energy and Cost-Efficient LLM Serving

Yuqi Xue, Jichuan Chang, Jian Huang

arXiv preprint

2026

Benchmarking LLM Serving Systems for Agentic AI Workloads with XPerf

Michael Wang, Yikang Yue, Shaobo Li, Yirui Eric Zhou, Chen Wang, Jian Huang

arXiv preprint

2026

Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with VOXEL

Yiqi Liu, Noelle Crawford, Michael Wang, Jilong Xue, Jian Huang

arXiv preprint

2026

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving

Yuqi Xue, Jerry Wu, Corey Yu, Jian Huang

arXiv preprint

2026

Benchmarking LLMs on File System Design and Implementation

Yuqi Xue, Daixuan Li, Jian Huang

arXiv preprint

2025

ELK: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques

Yiqi Liu, Yuqi Xue, Noelle Crawford, Jilong Xue, Jian Huang

arXiv preprint

2025

ByteFS: System Support for (CXL-based) Memory-Semantic Solid-State Drives

Shaobo Li, Yirui Eric Zhou, Hao Ren, Jian Huang

arXiv preprint

2025

Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage

Ziqi Yuan, Haoyang Zhang, Yirui Eric Zhou, Apoorve Mohan, I-Hsin Chung, Seetharami Seelam, Jian Huang

arXiv preprint

2025

Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms

Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri, Celine Irvene, Daniel S. Berger, Haoran Ma, Kapil Arya, Eli Cortez, Taylor Stark, Eugene Bak, Mehmet Iyigun, Stanko Novaković, Lisa Hsu, Karel Trueba, Abhisek Pan, Chetan Bansal, Saravan Rajmohan, Jian Huang, Ricardo Bianchini

arXiv preprint

DOI

2025

ReGate: Enabling Power Gating in Neural Processing Units

Yuqi Xue, Jian Huang

arXiv preprint

DOI

2025

SkyByte: Architecting an Efficient Memory-Semantic CXL-based SSD with OS and Hardware Co-design

Haoyang Zhang, Yuqi Xue, Yirui Eric Zhou, Shaobo Li, Jian Huang

arXiv preprint

2024

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10

Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang

arXiv preprint

DOI

2024

Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale

Jinghan Sun, Zibo Gong, Anup Agarwal, Shadi Noghabi, Ranveer Chandra, Marc Snir, Jian Huang

arXiv preprint

2024

Hardware-Assisted Virtualization of Neural Processing Units for Cloud Platforms

Yuqi Xue, Yiqi Liu, Lifeng Nai, Jian Huang

arXiv preprint

2024

Transforming the Hybrid Cloud for Emerging AI Workloads

Deming Chen, Alaa Youssef, Ruchi Pendse, André Schleife, Bryan K. Clark, Hendrik Hamann, Jingrui He, Teodoro Laino, Lav Varshney, Yuxiong Wang, Avirup Sil, Reyhaneh Jabbarvand, Tianyin Xu, Volodymyr Kindratenko, Carlos Costa, Sarita Adve, Charith Mendis, Minjia Zhang, Santiago Núñez-Corrales, Raghu Ganti, Mudhakar Srivatsa, Nam Sung Kim, Josep Torrellas, Jian Huang, Seetharami Seelam, Klara Nahrstedt, Tarek Abdelzaher, Tamar Eilam, Huimin Zhao, Matteo Manica, Ravishankar Iyer, Martin Hirzel, Vikram Adve, Darko Marinov, Hubertus Franke, Hanghang Tong, Elizabeth Ainsworth, Han Zhao, Deepak Vasisht, Minh Do, Sahil Suneja, Fabio Oliveira, Giovanni Pacifici, Ruchir Puri, Priya Nagpurkar

arXiv preprint

2023

G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations

Haoyang Zhang, Yirui Eric Zhou, Yuqi Xue, Yiqi Liu, Jian Huang

arXiv preprint

DOI

2023

RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design

Benjamin Reidys, Yuqi Xue, Daixuan Li, Bharat Sukhwani, Wen-mei Hwu, Deming Chen, Sameh Asaad, Jian Huang

arXiv preprint

DOI

2022

RSSD: Defend against Ransomware with Hardware-Isolated Network-Storage Codesign and Post-Attack Analysis

Benjamin Reidys, Peng Liu, Jian Huang

arXiv preprint

2022

LeaFTL: A Learning-Based Flash Translation Layer for Solid-State Drives

Jinghan Sun, Shaobo Li, Yunxin Sun, Chao Sun, Dejan Vucinic, Jian Huang

arXiv preprint

DOI

2022

UniHeap: Managing Persistent Objects Across Managed Runtimes for Non-Volatile Memory

Daixuan Li, Benjamin Reidys, Jinghan Sun, Thomas Shull, Josep Torrellas, Jian Huang

arXiv preprint

2022

The Security War in File Systems: An Empirical Study from A Vulnerability-Centric Perspective

Jinghan Sun, Shaobo Li, Jun Xu, Jian Huang

arXiv preprint

2021

Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data

Lan Luo, Ruijian Han, Yuanyuan Lin, Jian Huang

arXiv preprint

2021

Online Debiased Lasso for Streaming Data

Ruijian Han, Lan Luo, Yuanyuan Lin, Jian Huang

arXiv preprint

2021

IceClave: A Trusted Execution Environment for In-Storage Computing

Luyi Kang, Yuqi Xue, Weiwei Jia, Xiaohao Wang, Jongryool Kim, Changhwan Youn, Myeong Joon Kang, Hyung Jin Lim, Bruce Jacob, Jian Huang

arXiv preprint

DOI

2021

A Learning-based Approach Towards Automated Tuning of SSD Configurations

Daixuan Li, Jian Huang

arXiv preprint

2016

Exploration of heterogeneous treatment effects via concave fusion

Shujie Ma, Jian Huang, Zhiwei Zhang, Mingming Liu

arXiv preprint

2013

Semi-Penalized Inference with Direct False Discovery Rate Control in High-Dimensions

Jian Huang, Shuangge Ma, Cun-Hui Zhang, Yong Zhou

arXiv preprint

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