陈宁｜山东科技大学｜学者主页

2026

基于机器学习的裂缝性漏失诊断与堵漏工作液智选研究及应用

孙欢，朱明明，王金树，姚路，周芳芳，谭学斌，孙艳，屈艳平，陈宁

《煤田地质与勘探》

2026

露天煤矿端帮开采顶板-煤柱群承载特性及关键区域判别方法

宋栋，王步康，康红普，田原，魏帅，王琦，陈宁，白雪峰

《煤炭学报》

2026

Trend virtual adversarial training for semi-supervised time series classification

Qing-Yi Pan, Li-Yuan Wang, Jingyi Zhang, Jun Zhu, Ning Chen

Science China Information Sciences

DOI

2025

融合关键点与拓扑结构的矿山巷道矢量中心线智能提取

陈宁，马浩宇，张鹏鹏，张浩源，马斌杰，王双勇

《煤炭学报》

2024

软岩回采巷道围岩变形控制技术研究

陈宁

《煤》

2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

X. Yang, Chang Liu, Long-Long Xu, Yi-Kai Wang, Yin-Peng Dong, Ning Chen, Hang Su, Jun Zhu

Computer Vision and Pattern Recognition

DOI

2022

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu

International Joint Conference on Artificial Intelligence

DOI

2021

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu

Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen

International Joint Conference on Artificial Intelligence

DOI

2020

煤矿矿井通风安全的影响因素及科学管理措施研究

陈宁

《科技风》

DOI

2020

近距离煤层采空区下导硐分区域式支护技术研究

钟传义，陈宁，姚强岭

《中国矿业》

2020

Joint Medical Ontology Representation Learning for Healthcare Predictions

Ke Wang, Ning Chen, Ting Chen

IEEE International Joint Conference on Neural Network

DOI

2019

Improving Adversarial Robustness via Promoting Ensemble Diversity

Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu

International Conference on Machine Learning

2018

Ontology-based Venous Thromboembolism Risk Factors Mining and Model Developing from Medical Records

Yu-Qing Yang, Xin Wang, Yu Huang, Ning Chen, Juhong Shi, Ting Chen

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2017

Elastic restricted Boltzmann machines for cancer data analysis

Sai Zhang, Mu-Xuan Liang, Zhong-Jun Zhou, Chen Zhang, Ning Chen, Ting Chen, Jianyang Zeng

Quantitative Biology

DOI

2017

Learning Attributes from the Crowdsourced Relative Labels

Tian Tian, Ning Chen, Jun Zhu

AAAI Conference on Artificial Intelligence

DOI

2017

Message Passing Stein Variational Gradient Descent

Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang

International Conference on Machine Learning

2016

mLDM: a new hierarchical Bayesian statistical model for sparse microbioal association discovery

Yu-Qing Yang, Ning Chen, Ting Chen

bioRxiv

DOI

2016

Nonlinear Feature Extraction with Max-Margin Data Shifting

Jianqiao Wangni, Ning Chen

AAAI Conference on Artificial Intelligence

DOI

2016

DeepEnhancer: Predicting enhancers by convolutional neural networks

Xu Min, Ning Chen, Ting Chen, Rui Jiang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2015

柔性网护顶技术在综采面快速回撤中的应用

郭辉，于智卓，陈宁

《煤炭工程》

2015

Dropout training for SVMs with data augmentation

Ning Chen, Jun Zhu, Jian-Fei Chen, Ting Chen

Frontiers of Computer Science

DOI

2015

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

B. Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang

AAAI Conference on Artificial Intelligence

DOI

2014

Dropout Training for Support Vector Machines

Ning Chen, Jun Zhu, Jian-Fei Chen, Bo Zhang

AAAI Conference on Artificial Intelligence

DOI

2014

Max-margin latent feature relational models for entity-attribute networks

Fei Xia, Ning Chen, Jun Zhu, Aonan Zhang, Xiaoming Jin

IEEE International Joint Conference on Neural Network

DOI

2014

Learning Harmonium Models With Infinite Latent Features

Ning Chen, Jun Zhu, F. Sun, Bo Zhang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2013

Discriminative Relational Topic Models

Ning Chen, Jun Zhu, Fei Xia, Bo Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2013

Gibbs max-margin topic models with data augmentation

Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang

Journal of machine learning research

DOI

2013

Relational network link predicting method based on generalized relation hidden topic model

Ning Chen, Jun Zhu, Bo Zhang

2013

Gibbs Max-Margin Topic Models with Fast Sampling Algorithms

Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang

International Conference on Machine Learning

2012

基于GIS的矿井通风预警信息系统研究

陈宁，陆愈实

《中国矿业》

2012

Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis

Ning Chen, Jun Zhu, F. Sun, E. Xing

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2012

Bayesian inference with posterior regularization and applications to infinite latent SVMs

Jun Zhu, Ning Chen, E. Xing

Journal of machine learning research

DOI

2011

矿井热害气冷式个体防护服设计及研制

柳源，陈宁，王磊，徐宁

《煤炭工程》

2011

基于风险预控的矿山安全监控系统研究

陈宁，陆愈实

《中国矿业》

2011

Infinite Latent SVM for Classification and Multi-task Learning

Jun Zhu, Ning Chen, E. Xing

Neural Information Processing Systems

2011

Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines

Jun Zhu, Ning Chen, E. Xing

International Conference on Machine Learning

2011

Conditional topical coding: an efficient topic model conditioned on rich features

Jun Zhu, N. Lao, Ning Chen, E. Xing

Knowledge Discovery and Data Mining

DOI

2010

MMH : Maximum Margin Supervised Harmoniums

Ning Chen, Jun Zhu

2010

Predictive Subspace Learning for Multi-view Data: a Large Margin Approach

Ning Chen, Jun Zhu, E. Xing

Neural Information Processing Systems

2010

On Multiple Kernel Learning Methods: On Multiple Kernel Learning Methods

Hongqiao Wang, F. Sun, Yan-Ning Cai, Ning Chen, Linge Ding

DOI

2009

Model-based bridge recognition in high resolution SAR image

Deli Pei, F. Sun, Hongqiao Wang, Ning Chen

International Symposium on Multispectral Image Processing and Pattern Recognition

DOI

2009

An unbiased LSSVM model for classification and regression

Hongqiao Wang, F. Sun, Yan-Ning Cai, Linge Ding, Ning Chen

Soft Computing - A Fusion of Foundations, Methodologies and Applications

DOI

2009

An adaptive PNN-DS approach to classification using multi-sensor information fusion

Ning Chen, F. Sun, Linge Ding, Hongqiao Wang

Neural computing & applications (Print)

DOI

2008

Delay-dependent decentralized H∞ filtering for uncertain interconnected systems

Chen Ning, Gui Weihua, Zhang Xiaofeng

Journal Of Systems Engineering And Electronics，Vol. 190, No. 40

DOI

2008

A Sparse Sampling Method for Classification Based on Likelihood Factor

Linge Ding, F. Sun, Hongqiao Wang, Ning Chen

International Symposium on Neural Networks

DOI

2007

Robust decentralized H∞ control of multi-channel systems with norm-bounded parametric uncertainties

Chen Ning, Gui Weihua

Journal Of Systems Engineering And Electronics，Vol. 18, No. 4

2007

遏制煤矿事故应从源头做起

陈宁，汪睿，林汉川

《安全》

精选作品

期刊论文

基于机器学习的裂缝性漏失诊断与堵漏工作液智选研究及应用

露天煤矿端帮开采顶板-煤柱群承载特性及关键区域判别方法

Trend virtual adversarial training for semi-supervised time series classification

融合关键点与拓扑结构的矿山巷道矢量中心线智能提取

软岩回采巷道围岩变形控制技术研究

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu

煤矿矿井通风安全的影响因素及科学管理措施研究

近距离煤层采空区下导硐分区域式支护技术研究

Joint Medical Ontology Representation Learning for Healthcare Predictions

Improving Adversarial Robustness via Promoting Ensemble Diversity

Ontology-based Venous Thromboembolism Risk Factors Mining and Model Developing from Medical Records

Elastic restricted Boltzmann machines for cancer data analysis

Learning Attributes from the Crowdsourced Relative Labels

Message Passing Stein Variational Gradient Descent

mLDM: a new hierarchical Bayesian statistical model for sparse microbioal association discovery

Nonlinear Feature Extraction with Max-Margin Data Shifting

DeepEnhancer: Predicting enhancers by convolutional neural networks

柔性网护顶技术在综采面快速回撤中的应用

Dropout training for SVMs with data augmentation

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

Dropout Training for Support Vector Machines

Max-margin latent feature relational models for entity-attribute networks

Learning Harmonium Models With Infinite Latent Features

Discriminative Relational Topic Models

Gibbs max-margin topic models with data augmentation

Relational network link predicting method based on generalized relation hidden topic model

Gibbs Max-Margin Topic Models with Fast Sampling Algorithms

基于GIS的矿井通风预警信息系统研究

Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis

Bayesian inference with posterior regularization and applications to infinite latent SVMs

矿井热害气冷式个体防护服设计及研制

基于风险预控的矿山安全监控系统研究

Infinite Latent SVM for Classification and Multi-task Learning

Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines

Conditional topical coding: an efficient topic model conditioned on rich features

MMH : Maximum Margin Supervised Harmoniums

Predictive Subspace Learning for Multi-view Data: a Large Margin Approach

On Multiple Kernel Learning Methods: On Multiple Kernel Learning Methods

Model-based bridge recognition in high resolution SAR image

An unbiased LSSVM model for classification and regression

An adaptive PNN-DS approach to classification using multi-sensor information fusion

Delay-dependent decentralized H∞ filtering for uncertain interconnected systems

A Sparse Sampling Method for Classification Based on Likelihood Factor

Robust decentralized H∞ control of multi-channel systems with norm-bounded parametric uncertainties

遏制煤矿事故应从源头做起