段亮｜云南大学｜学者主页

2026

基于知识图谱与指代消解的对话式问答

王笳辉，赵林超，尹兆睿，岳昆，陈兴通，段亮

《模式识别与人工智能》

2026

融合邻域信息的民间文学知识图谱补全

高方正，王笳辉，段亮，岳昆，李忠斌

《北京航空航天大学学报》

DOI

2026

基于贝叶斯网的故障根因分析

刘华帅，陶厚国，岳昆，段亮

《计算机科学》

2026

融合自适应图和多级注意力的多变量时间序列异常检测

武嘉欣，段亮，田凯琳

《云南大学学报(自然科学版)》

2026

面向网络覆盖和用户需求的5G基站选址方法

岳昆，黄文辉，王笳辉，杨培忠，杨晰，段亮

《计算机工程》

2026

Dual-Kernel Graph Community Contrastive Learning

Xiang Chen, Kun Yue, Wenjie Liu, Zhenyu Zhang, Liang Duan

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Structural Entropy Guided Meta-Learning for Few-Shot Node Classification

Xiang Chen, Kun Yue, Daliang Liu, Wenjie Liu, Liang Duan, Angsheng Li

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

User Intent Guided Query Reasoning Over Knowledge Graph

Jianyu Li, Kun Yue, Zhongbin Li, Liang Duan, Kuang Hu, Zehao Huang

IEEE Transactions on Consumer Electronics

DOI

2026

Structural Entropy Based Spatio-Temporal Sequence Forecasting

Daliang Liu, Kun Yue, Wenjie Liu, Xiang Chen, Liang Duan

Lecture notes in computer science

DOI

2025

基于知识蒸馏的民间文学文本修复

曹熊能，王笳辉，岳昆，段亮，张多

《工程科学与技术》

2025

Structural entropy guided relation extraction on adaptive graph structure

Jiahui Wang, Jiangming Liu, Kun Yue, Liang Duan, Jiande Wu

Pattern Recognition

DOI

2025

Conditional Information Bottleneck-Based Multivariate Time Series Forecasting

Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li

International Joint Conference on Artificial Intelligence

DOI

2025

Deep Variational Autoencoder-Based Parameter Learning of Bayesian Network With Multiple Latent Variables

Xinran Wu, Kun Yue, Liang Duan, Hongbo Xie, Huashuai Liu

IEEE Transactions on Artificial Intelligence

DOI

2025

Structural entropy based graph contrastive learning for node classification

Jun Zhang, Liang Duan, Xiang Chen, Xinhui Li, Jing Chai, Kun Yue

Intelligent Data Analysis

DOI

2025

Hierarchical Structure Enhanced Graph Representation for Link Prediction

Wenjie Liu, Kun Yue, Zhenyu Zhang, Liang Duan

Proceedings

DOI

2025

Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention

Jie Tu, Kun Yue, Zhenyu Zhang, Liang Duan

Proceedings

DOI

2025

Efficient Cardinality Estimation with Query-induced Probability Inference

Huashuai Liu, Xinran Wu, Kun Yue, Beiyi Xiang, Liang Duan

Proceedings

DOI

2025

GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning

Zhu Yang, Kun Yue, Zhiwei Qi, Liang Duan, Jianyu Li

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network

Xinran Wu, Kun Yue, Huashuai Liu, Liang Duan

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

Finding Associative Entities in Knowledge Graph by Incorporating User Behaviors

Jian-Yu Li, Peizhong Yang, Kun Yue, Liang Duan, Zehao Huang

Journal of Database Management

DOI

2025

Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies

Liang Duan, Xinran Wu, Xinhui Li, Li-Xing Yu, Kun Yue

Conference on Uncertainty in Artificial Intelligence

2025

Improving Graph Contrastive Learning with Community Structure

Xiang Chen, Kun Yue, Liang Duan, Li-Xing Yu

Conference on Uncertainty in Artificial Intelligence

2025

Disentangled Sparse Graph Attention Networks with Multi-Intent Fusion for Session-based Recommendation

Yifeng Wang, Ji-Hua Zhu, Liang Duan, Ansong Li, Jiarun Sun, Chaoyu Wang, Zhao-Long Li

Knowledge-Based Systems

DOI

2024

面向文本识别的小样本阴影消除方法

王笳辉，彭光灵，段亮，袁国武，岳昆

《计算机科学》

2024

基于指代消解的民间文学文本实体关系抽取

魏静，岳昆，段亮，王笳辉

《河南师范大学学报(自然科学版)》

2024

Structural Entropy Based Graph Structure Learning for Node Classification

Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

Directed Brain Network Transformer for Psychiatric Diagnosis

Xu Zhu, Zhiwei Qi, Kun Yue, Yunshan Su, Liang Duan

Lecture notes in computer science

DOI

2024

Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences

Kun Yue, Zhiwei Qi, Liang Duan

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2024

Similarity search on social networks with incremental graph indexing based on probabilistic inference

Zhiwei Qi, Tong Lu, Kun Yue, Liang Duan

International Journal of Web Information Systems

DOI

2024

Learning a Bayesian network with multiple latent variables for implicit relation representation

Xinran Wu, Kun Yue, Liang Duan, Xiaodong Fu

Data Mining and Knowledge Discovery

DOI

2024

Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions

Fulu Kou, Lixing Yu, Kun Yue, Liang Duan, Zhongbin Li

Lecture notes in computer science

DOI

2024

Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks

Tong Lu, Zhiwei Qi, Kun Yue, Liang Duan

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2023

基于概率推理的知识图谱链接预测方法

姚建军，李剑宇，岳昆，段亮，付晓东

《计算机集成制造系统》

DOI

2023

民间文学文本命名实体识别方法

黄健钰，王笳辉，段亮，冉苒

《软件导刊》

2023

基于子事件的对话长文本情感分析

杨京虎，段亮，岳昆，李忠斌

《南京大学学报(自然科学)》

2023

Efficient Inference of Markov Logic Network for Link Prediction

Zhongbin Li, Liang Duan, Kun Yue

IEEE Global Conference on Consumer Electronics (GCCE)

DOI

2023

Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention

Shanna Zhong, Jiahui Wang, Kun Yue, Liang Duan, Zhengbao Sun, Yan Fang

Data Science and Engineering

DOI

2023

Models and Techniques for Domain Relation Extraction: A Survey

Jiahui Wang, Kun Yue, Liang Duan

Journal of Data Science and Intelligent Systems

DOI

2022

时序知识图谱的增量构建

张子辰，岳昆，祁志卫，段亮

《计算机科学与探索》

2022

Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables

Zhiwei Qi, Kun Yue, Liang Duan, Kuang Hu, Zhihong Liang

Information Sciences

DOI

2022

An Approach for Domain Relation Extraction

Jiahui Wang, Kun Yue, Liang Duan

IEEE Global Conference on Consumer Electronics (GCCE)

DOI

2022

Similarity Search with Graph Index on Directed Social Network Embedding

Zhiwei Qi, Kun Yue, Liang Duan, Zhihong Liang

Lecture notes in computer science

DOI

2022

Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features

Shanna Zhong, Kun Yue, Liang Duan

Lecture notes in computer science

DOI

2022

Mutual information based Bayesian graph neural network for few-shot learning

Kai-Yu Song, Kun Yue, Liang Duan, Mingze Yang, Ang-Sheng Li

Conference on Uncertainty in Artificial Intelligence

2021

Matrix factorization based Bayesian network embedding for efficient probabilistic inferences

Zhiwei Qi, Kun Yue, Liang Duan, Jiahui Wang, Shaojie Qiao, Xiaodong Fu

Expert Systems With Applications，Vol. 169

DOI

2021

An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding

Jiahui Wang, Kun Yue, Liang Duan, Zhiwei Qi, Shaojie Qiao

Knowledge-Based Systems

DOI

2021

Transfer learning of Bayesian network for measuring QoS of virtual machines

Jia Hao, Kun Yue, Binbin Zhang, Liang Duan, Xiaodong Fu

Applied Intelligence

DOI

2021

A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph

Jianyu Li, Kun Yue, Jie Li, Liang Duan

Lecture notes in computer science

DOI

2021

Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns

Jie Li, Kun Yue, Liang Duan, Jian-Yu Li

Lecture notes in computer science

DOI

2020

Improving spectral clustering with deep embedding, cluster estimation and metric learning

Liang Duan, Shuai Ma, Charų C. Aggarwal, Saket K. Sathe

Knowledge and Information Systems

DOI

2020

Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes

Jia Hao, Kun Yue, Liang Duan, Binbin Zhang, Xiaodong Fu

Cluster Computing

DOI

2020

A parallel and constraint induced approach to modeling user preference from rating data

Kun Yue, Xinran Wu, Liang Duan, Shaojie Qiao, Hao Wu

Knowledge-Based Systems

DOI

2019

Improving Spectral Clustering with Deep Embedding and Cluster Estimation

Liang Duan, C. Aggarwal, Shuai Ma, Saket Sathe

Industrial Conference on Data Mining

DOI

2017

An Ensemble Approach to Link Prediction

Liang Duan, Shuai Ma, C. Aggarwal, Tie-Jun Ma, Jinpeng Huai

IEEE Transactions on Knowledge and Data Engineering

DOI

2016

Scaling up Link Prediction with Ensembles

Liang Duan, C. Aggarwal, Shuai Ma, Renjun Hu, Jinpeng Huai

Web Search and Data Mining

DOI

2016

Ensemble Enabled Weighted PageRank

Dongsheng Luo, Chen Gong, Renjun Hu, Liang Duan, Shuai Ma

arXiv.org

2015

Tracing Errors in Probabilistic Databases Based on the Bayesian Network

Liang Duan, Kun Yue, Cheqing Jin, Wenlin Xu, Weiyi Liu

Lecture notes in computer science

DOI

2015

Extending Conditional Dependencies with Built-in Predicates

Shuai Ma, Liang Duan, Wen-Fei Fan, Chun-Ming Hu, Wen-Guang Chen

IEEE Transactions on Knowledge and Data Engineering

DOI

2014

基于概率图模型的数据清洗

段亮

《云南大学》

2013

Cleaning Missing Data Based on the Bayesian Network

Liang Duan, Kun Yue, Wenhua Qian, Weiyi Liu

Lecture notes in computer science

DOI

2013

Approach for cleaning uncertain data based on information entropy theory: Approach for cleaning uncertain data based on information entropy theory

Yu Qin, Liang Duan, Kun Yue

DOI

精选作品

期刊论文

基于知识图谱与指代消解的对话式问答

融合邻域信息的民间文学知识图谱补全

基于贝叶斯网的故障根因分析

融合自适应图和多级注意力的多变量时间序列异常检测

面向网络覆盖和用户需求的5G基站选址方法

Dual-Kernel Graph Community Contrastive Learning

Structural Entropy Guided Meta-Learning for Few-Shot Node Classification

User Intent Guided Query Reasoning Over Knowledge Graph

Structural Entropy Based Spatio-Temporal Sequence Forecasting

基于知识蒸馏的民间文学文本修复

Structural entropy guided relation extraction on adaptive graph structure

Conditional Information Bottleneck-Based Multivariate Time Series Forecasting

Deep Variational Autoencoder-Based Parameter Learning of Bayesian Network With Multiple Latent Variables

Structural entropy based graph contrastive learning for node classification

Hierarchical Structure Enhanced Graph Representation for Link Prediction

Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention

Efficient Cardinality Estimation with Query-induced Probability Inference

GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning

Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network

Finding Associative Entities in Knowledge Graph by Incorporating User Behaviors

Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies

Improving Graph Contrastive Learning with Community Structure

Disentangled Sparse Graph Attention Networks with Multi-Intent Fusion for Session-based Recommendation

面向文本识别的小样本阴影消除方法

基于指代消解的民间文学文本实体关系抽取

Structural Entropy Based Graph Structure Learning for Node Classification

Directed Brain Network Transformer for Psychiatric Diagnosis

Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences

Similarity search on social networks with incremental graph indexing based on probabilistic inference

Learning a Bayesian network with multiple latent variables for implicit relation representation

Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions

Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks

基于概率推理的知识图谱链接预测方法

民间文学文本命名实体识别方法

基于子事件的对话长文本情感分析

Efficient Inference of Markov Logic Network for Link Prediction

Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention

Models and Techniques for Domain Relation Extraction: A Survey

时序知识图谱的增量构建

Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables

An Approach for Domain Relation Extraction

Similarity Search with Graph Index on Directed Social Network Embedding

Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features

Mutual information based Bayesian graph neural network for few-shot learning

Matrix factorization based Bayesian network embedding for efficient probabilistic inferences

An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding

Transfer learning of Bayesian network for measuring QoS of virtual machines

A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph

Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns

Improving spectral clustering with deep embedding, cluster estimation and metric learning

Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes

A parallel and constraint induced approach to modeling user preference from rating data

Improving Spectral Clustering with Deep Embedding and Cluster Estimation

An Ensemble Approach to Link Prediction

Scaling up Link Prediction with Ensembles

Ensemble Enabled Weighted PageRank

Tracing Errors in Probabilistic Databases Based on the Bayesian Network

Extending Conditional Dependencies with Built-in Predicates

基于概率图模型的数据清洗

Cleaning Missing Data Based on the Bayesian Network

Approach for cleaning uncertain data based on information entropy theory: Approach for cleaning uncertain data based on information entropy theory

研究方向