刘强｜成都信息工程大学｜学者主页

2026

数字创新赋能产业高质量发展：基于新质生产力视角

王丽君，刘强，徐生霞

《统计与信息论坛》，Vol. 41, No. 3

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2026

数字经济集聚与区域创新能力提升——来自京津冀城市群的经验证据

李泽锦，刘强

《统计与决策》，Vol. 42, No. 3

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2026

产业协同与北京经济高质量发展:测度与作用机制

李泽锦，刘强，姜玉英

《数理统计与管理》

DOI

2026

概率论与数理统计

刘强

2025

教育水平、产业结构与区域经济发展——兼论地区经济差距的来源和缩小

徐生霞，刘强，姜玉英

《数理统计与管理》，Vol. 44, No. 2

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2024

新格局背景下产业转型升级的经济增长效应研究——以京津冀区域为例

陆小莉，刘强，姜玉英

《数理统计与管理》，Vol. 43, No. 5

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2022

跨区域城市群经济协调发展研究——基于产业转型升级与政策干预的视角

徐生霞，刘强

《数理统计与管理》，Vol. 41, No. 3

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2021

结构性减速背景下中国经济增长潜力探究

李泽锦，刘强，陆小莉

《统计与信息论坛》，Vol. 36, No. 10

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2021

京津冀产业转型升级的空间联动效应研究

陆小莉，刘强，徐生霞

《统计与信息论坛》，Vol. 36, No. 7

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2021

消费升级、产业结构与就业结构

刘强，李泽锦

《数理统计与管理》，Vol. 40, No. 6

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2021

信息流对经济高质量发展的影响及空间效应研究

李泽锦，刘强

《统计与决策》，Vol. 37, No. 24

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2021

中国区域协调发展及空间演进

刘强，徐生霞

《统计与决策》，No. 1

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2021

Stein’s Method Meets Statistics: A Review of Some Recent Developments

Andreas Anastasiou, A. Barp, François‐Xavier Briol, B. Ebner, Robert E. Gaunt, Fatemeh Ghaderinezhad, Jackson Gorham, Arthur, Gretton, Christophe Ley, Qiang Liu, L. Mackey, C. Oates, G. Reinert, Y. Swan

2021

Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent

Xing-Chao Liu, Xin Tong, Qiang Liu

Neural Information Processing Systems

2021

Centroid Approximation for Bootstrap

Mao Ye, Qiang Liu

International Conference on Machine Learning

2020

城镇化的农村减贫效应——基于动态变系数模型的实证研究

田雅娟，刘强

《统计与信息论坛》，Vol. 35, No. 2

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2020

城市群视角下产业集聚的空间异质性研究

刘强，陆小莉，徐生霞

《数理统计与管理》，Vol. 39, No. 6

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2020

Stein Self-Repulsive Dynamics: Benefits From Past Samples

Mao Ye, Tongzheng Ren, Qiang Liu

Neural Information Processing Systems

2020

Stein Variational Inference for Discrete Distributions

Jun Han, Fan Ding, Xiang-Long Liu, L. Torresani, Jian Peng, Qiang Liu

International Conference on Artificial Intelligence and Statistics

2019

基于分位数回归方法的京津冀地区经济差异统计分析

张赛茵，刘强，王金伟

《数理统计与管理》，No. 5

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2019

全要素生产率与区域产业发展质量不平衡--基于京津冀和长三角的实证分析

刘强，李泽锦

《统计与信息论坛》，Vol. 34, No. 9

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2019

中国居民家庭的主观贫困感受研究

田雅娟，刘强，冯亮

《统计研究》，Vol. 36, No. 1

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2019

北京区域发展不平衡性的时空演变与成因研究--基于教育与劳动报酬的视角

徐生霞，刘强

《数理统计与管理》，Vol. 38, No. 6

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2019

一种考虑收入排序的中等收入群体发展测度方法

田雅娟，刘强，冯亮

《数理统计与管理》，No. 2

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2019

Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations

Qiang Liu, Xin T. Tong

Statistics and computing

DOI

2019

Stein Variational Gradient Descent with Matrix-Valued Kernels

Di-Lin Wang, Ziyang Tang, C. Bajaj, Qiang Liu

Neural Information Processing Systems

2019

A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family

T. Banerjee, Qiang Liu, Gourab Mukherjee, Wen-Rui Sun

Journal of machine learning research

2019

Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization

Chengyue Gong, Jian Peng, Qiang Liu

International Conference on Machine Learning

2019

Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models

Di-Lin Wang, Qiang Liu

International Conference on Machine Learning

2018

Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy

Jia-Sen Yang, Qiang Liu, Vinayak A. Rao, Jennifer Neville

International Conference on Machine Learning

2018

Stein Variational Gradient Descent as Moment Matching

Qiang Liu, Di-Lin Wang

Neural Information Processing Systems

2018

Action-dependent Control Variates for Policy Optimization via Stein Identity

Hao Liu, Yihao Feng, Yi Mao, Deng-Yong Zhou, Jian Peng, Qiang Liu

International Conference on Learning Representations

2018

Stein Variational Gradient Descent Without Gradient

J. Han, Qiang Liu

International Conference on Machine Learning

2018

Adaptive Scan Gibbs Sampler for Large Scale Inference Problems

V. Smolyakov, Qiang Liu, John W. Fisher III

2018

大数据时代的统计学思维

刘强

《中国水利水电出版社》

2017

我国通货膨胀持久性的测度：中位数回返方法

刘强，张赛茵

《数理统计与管理》，Vol. 36, No. 1

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2017

英国价格指数体系的编制与借鉴

陈晨，刘强，姜玉英

《统计与决策》，No. 4

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2017

Learning to Draw Samples with Amortized Stein Variational Gradient Descent

Yihao Feng, Di-Lin Wang, Qiang Liu

Conference on Uncertainty in Artificial Intelligence

2017

Structured Stein Variational Inference for Continuous Graphical Models

Di-Lin Wang, Zhe Zeng, Qiang Liu

arXiv.org

2017

Stein Variational Policy Gradient

Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng

Conference on Uncertainty in Artificial Intelligence

2017

Sample-efficient Policy Optimization with Stein Control Variate

Hao Liu, Yihao Feng, Yi Mao, Deng-Yong Zhou, Jian Peng, Qiang Liu

arXiv.org

2017

Stein Variational Gradient Descent as Gradient Flow

Qiang Liu

Neural Information Processing Systems

2017

Stein Variational Adaptive Importance Sampling

J. Han, Qiang Liu

Conference on Uncertainty in Artificial Intelligence

2017

Approximate Inference with Amortised MCMC

Ying-Zhen Li, Richard E. Turner, Qiang Liu

arXiv.org

2017

Efficient Localized Inference for Large Graphical Models

Jinglin Chen, Jian Peng, Qiang Liu

International Joint Conference on Artificial Intelligence

DOI

2017

Stein Variational Message Passing for Continuous Graphical Models

Di-Lin Wang, Zhe Zeng, Qiang Liu

International Conference on Machine Learning

2016

Black-box Importance Sampling

Qiang Liu, J. Lee

International Conference on Artificial Intelligence and Statistics

2016

Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds

Di-Lin Wang, John W. Fisher III, Qiang Liu

Conference on Uncertainty in Artificial Intelligence

2016

Learning to Sample Using Stein Discrepancy

Di-Lin Wang, Yihao Feng, Qiang Liu

2016

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Qiang Liu, Di-Lin Wang

Neural Information Processing Systems

2016

Importance Weighted Consensus Monte Carlo for Distributed Bayesian Inference

Qiang Liu

Conference on Uncertainty in Artificial Intelligence

2016

A Kernelized Stein Discrepancy for Goodness-of-fit Tests

Qiang Liu, J. Lee, Michael I. Jordan

International Conference on Machine Learning

2016

Bootstrap Model Aggregation for Distributed Statistical Learning

J. Han, Qiang Liu

Neural Information Processing Systems

2016

A Short Introduction to Kernelized Stein Discrepancy

Qiang Liu

2016

Stein Variational Gradient Descent: Theory and Applications

Qiang Liu

2016

概率论与数理统计复习指导与深化训练

刘强

《电子工业出版社》

2015

Probabilistic Variational Bounds for Graphical Models

Qiang Liu, John W. Fisher III, A. Ihler

Neural Information Processing Systems

2014

基于空间异质性的区域创新技术扩散规律研究

刘强，范爱军

《统计与决策》，No. 2

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2014

Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework

Qiang Liu

2014

Distributed Estimation, Information Loss and Exponential Families

Qiang Liu, A. Ihler

Neural Information Processing Systems

2012

Distributed Parameter Estimation via Pseudo-likelihood

Qiang Liu, A. Ihler

International Conference on Machine Learning

2011

纵向数据下混合效应EV模型中参数估计的渐近性质

刘强

《数理统计与管理》，Vol. 30, No. 3

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2007

中国产业结构变动与就业水平的实证研究

刘强

《统计与信息论坛》，No. 1

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2007

高维纵向数据群点的刚体结构检验方法

朱力行，王惠文，刘强

《应用概率统计》

2007

对《统计学原理》课程教学改革的思考

刘强

《统计教育》

2003

区域失业率差异影响因素的实证分析

刘强，程红莉刘强

《统计与信息论坛》，Vol. 18, No. 3

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2003

北京市三次产业预测分析

王惠文，黄薇，刘强

《系统工程理论与实践》，Vol. 23, No. 6

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2002

中国地区间投入产出模型的编制及其问题

刘强，冈本信广

《统计研究》，No. 9

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2000

总产出结构分析中的投入产出相关应用

刘强

《统计与信息论坛》，Vol. 15, No. 5

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1997

多维数据群点主轴旋转的预测模型研究

刘强，王惠文刘强

《数理统计与管理》，Vol. 16, No. 6

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精选作品

期刊论文

数字创新赋能产业高质量发展：基于新质生产力视角

数字经济集聚与区域创新能力提升——来自京津冀城市群的经验证据

产业协同与北京经济高质量发展:测度与作用机制

概率论与数理统计

教育水平、产业结构与区域经济发展——兼论地区经济差距的来源和缩小

新格局背景下产业转型升级的经济增长效应研究——以京津冀区域为例

跨区域城市群经济协调发展研究——基于产业转型升级与政策干预的视角

结构性减速背景下中国经济增长潜力探究

京津冀产业转型升级的空间联动效应研究

消费升级、产业结构与就业结构

信息流对经济高质量发展的影响及空间效应研究

中国区域协调发展及空间演进

Stein’s Method Meets Statistics: A Review of Some Recent Developments

Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent

Centroid Approximation for Bootstrap

城镇化的农村减贫效应——基于动态变系数模型的实证研究

城市群视角下产业集聚的空间异质性研究

Stein Self-Repulsive Dynamics: Benefits From Past Samples

Stein Variational Inference for Discrete Distributions

基于分位数回归方法的京津冀地区经济差异统计分析

全要素生产率与区域产业发展质量不平衡--基于京津冀和长三角的实证分析

中国居民家庭的主观贫困感受研究

北京区域发展不平衡性的时空演变与成因研究--基于教育与劳动报酬的视角

一种考虑收入排序的中等收入群体发展测度方法

Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations

Stein Variational Gradient Descent with Matrix-Valued Kernels

A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family

Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization

Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models

Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy

Stein Variational Gradient Descent as Moment Matching

Action-dependent Control Variates for Policy Optimization via Stein Identity

Stein Variational Gradient Descent Without Gradient

Adaptive Scan Gibbs Sampler for Large Scale Inference Problems

大数据时代的统计学思维

我国通货膨胀持久性的测度：中位数回返方法

英国价格指数体系的编制与借鉴

Learning to Draw Samples with Amortized Stein Variational Gradient Descent

Structured Stein Variational Inference for Continuous Graphical Models

Stein Variational Policy Gradient

Sample-efficient Policy Optimization with Stein Control Variate

Stein Variational Gradient Descent as Gradient Flow

Stein Variational Adaptive Importance Sampling

Approximate Inference with Amortised MCMC

Efficient Localized Inference for Large Graphical Models

Stein Variational Message Passing for Continuous Graphical Models

Black-box Importance Sampling

Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds

Learning to Sample Using Stein Discrepancy

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Importance Weighted Consensus Monte Carlo for Distributed Bayesian Inference

A Kernelized Stein Discrepancy for Goodness-of-fit Tests

Bootstrap Model Aggregation for Distributed Statistical Learning

A Short Introduction to Kernelized Stein Discrepancy

Stein Variational Gradient Descent: Theory and Applications

概率论与数理统计复习指导与深化训练

Probabilistic Variational Bounds for Graphical Models

基于空间异质性的区域创新技术扩散规律研究

Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework

Distributed Estimation, Information Loss and Exponential Families

Distributed Parameter Estimation via Pseudo-likelihood

纵向数据下混合效应EV模型中参数估计的渐近性质

中国产业结构变动与就业水平的实证研究

高维纵向数据群点的刚体结构检验方法

对《统计学原理》课程教学改革的思考

区域失业率差异影响因素的实证分析

北京市三次产业预测分析

中国地区间投入产出模型的编制及其问题

总产出结构分析中的投入产出相关应用

多维数据群点主轴旋转的预测模型研究