Liang Duan

51 papers A* 7A 8B 2Journal 23Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Variational Autoencoder-Based Parameter Learning of Bayesian Network With Multiple Latent Variables.
IEEE Trans. Artif. Intell.
Xinran Wu, Kun Yue, Liang Duan, Hong-Bo Xie, Huashuai Liu
2026 J jnl
Dual contrastive learning with behavior pattern modeling for session-based recommendation.
Knowl. Based Syst.
Jiarun Sun, Ling Dai, Ren Guan, Liang Duan
2026 A* conf
Dual-Kernel Graph Community Contrastive Learning.
AAAI
Xiang Chen, Kun Yue, Wenjie Liu, Zhenyu Zhang, Liang Duan
2026 J jnl
Structural Entropy Guided Meta-Learning for Few-Shot Node Classification.
IEEE Trans. Knowl. Data Eng.
Xiang Chen, Kun Yue, Daliang Liu, Wenjie Liu, Liang Duan, Angsheng Li
2026 J jnl
Structural entropy guided relation extraction on adaptive graph structure.
Pattern Recognit.
Jiahui Wang, Jiangming Liu, Kun Yue, Liang Duan, Jiande Wu
2025 A* conf
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting.
IJCAI
Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li
2025 J jnl
Disentangled Sparse Graph Attention Networks with Multi-Intent Fusion for Session-based Recommendation.
Knowl. Based Syst.
Yifeng Wang, Jihua Zhu, Liang Duan, Ansong Li, Jiarun Sun, Chaoyu Wang, Zhaolong Li
2025 J jnl
Dual-Kernel Graph Community Contrastive Learning.
CoRR
Xiang Chen, Kun Yue, Wenjie Liu, Zhenyu Zhang, Liang Duan
2025 A* conf
Efficient Cardinality Estimation with Query-induced Probability Inference.
ICDM
Huashuai Liu, Xinran Wu, Kun Yue, Bingbing Xiang, Liang Duan
2025 J jnl
Finding Associative Entities in Knowledge Graph by Incorporating User Behaviors.
J. Database Manag.
Jianyu Li, Peizhong Yang, Kun Yue, Liang Duan, Zehao Huang
2025 A conf
GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning.
CIKM
Zhu Yang, Kun Yue, Zhiwei Qi, Liang Duan, Jianyu Li
2025 A* conf
Hierarchical Structure Enhanced Graph Representation for Link Prediction.
ICDM
Wenjie Liu, Kun Yue, Zhenyu Zhang, Liang Duan
2025 A conf
Improving Graph Contrastive Learning with Community Structure.
UAI
Xiang Chen, Kun Yue, Liang Duan, Lixing Yu
2025 A conf
Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network.
CIKM
Xinran Wu, Kun Yue, Huashuai Liu, Liang Duan
2025 J jnl
Partially multi-view clustering via re-alignment.
Neural Networks
Wenbiao Yan, Jihua Zhu, Jinqian Chen, Haozhe Cheng, Shunshun Bai, Liang Duan, Qinghai Zheng
2025 A conf
Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies.
UAI
Liang Duan, Xinran Wu, Xinhui Li, Lixing Yu, Kun Yue
2025 — conf
Structural Entropy Based Spatio-Temporal Sequence Forecasting.
DASFAA (2)
Daliang Liu, Kun Yue, Wenjie Liu, Xiang Chen, Liang Duan
2025 A* conf
Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention.
ICDM
Jie Tu, Kun Yue, Zhenyu Zhang, Liang Duan
2024 — conf
Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions.
DASFAA (5)
Fulu Kou, Lixing Yu, Kun Yue, Liang Duan, Zhongbin Li
2024 — conf
Directed Brain Network Transformer for Psychiatric Diagnosis.
ICPR (11)
Xu Zhu, Zhiwei Qi, Kun Yue, Yunshan Su, Liang Duan
2024 J jnl
Landslide Hazard Prediction Based on UAV Remote Sensing and Discrete Element Model Simulation - Case from the Zhuangguoyu Landslide in Northern China.
Remote. Sens.
Guangming Li, Yu Zhang, Yuhua Zhang, Zizheng Guo, Yuanbo Liu, Xinyong Zhou, Zhanxu Guo, Wei Guo, Lihang Wan, Liang Duan, Hao Luo, Jun He
2024 J jnl
Learning a Bayesian network with multiple latent variables for implicit relation representation.
Data Min. Knowl. Discov.
Xinran Wu, Kun Yue, Liang Duan, Xiaodong Fu
2024 J jnl
Similarity search on social networks with incremental graph indexing based on probabilistic inference.
Int. J. Web Inf. Syst.
Zhiwei Qi, Tong Lu, Kun Yue, Liang Duan
2024 A* conf
Structural Entropy Based Graph Structure Learning for Node Classification.
AAAI
Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li
2024 A conf
Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences.
CIKM
Kun Yue, Zhiwei Qi, Liang Duan
2024 A conf
Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search.
ESEM
Gang Hu, Xiaoqin Zeng, Wanlong Yu, Min Peng, Mengting Yuan, Liang Duan
2024 J jnl
Video object detection via space-time feature aggregation and result reuse.
IET Image Process.
Liang Duan, Rongfei Yang, Kun Yue, Zhengbao Sun, Guowu Yuan
2023 — conf
Efficient Inference of Markov Logic Network for Link Prediction.
GCCE
Zhongbin Li, Liang Duan, Kun Yue
2023 J jnl
Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention.
Data Sci. Eng.
Shanna Zhong, Jiahui Wang, Kun Yue, Liang Duan, Zhengbao Sun, Yan Fang
2023 — conf
Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks.
CollaborateCom (2)
Tong Lu, Zhiwei Qi, Kun Yue, Liang Duan
2022 — conf
An Approach for Domain Relation Extraction.
GCCE
Jiahui Wang, Kun Yue, Liang Duan
2022 J jnl
An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding.
Knowl. Based Syst.
Jiahui Wang, Kun Yue, Liang Duan, Zhiwei Qi, Shaojie Qiao
2022 B conf
Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features.
WISE
Shanna Zhong, Kun Yue, Liang Duan
2022 J jnl
Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables.
Inf. Sci.
Zhiwei Qi, Kun Yue, Liang Duan, Kuang Hu, Zhihong Liang
2022 A conf
Mutual information based Bayesian graph neural network for few-shot learning.
UAI
Kaiyu Song, Kun Yue, Liang Duan, Mingze Yang, Angsheng Li
2022 B conf
Similarity Search with Graph Index on Directed Social Network Embedding.
ICWE
Zhiwei Qi, Kun Yue, Liang Duan, Zhihong Liang
2021 — conf
A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph.
APWeb/WAIM (2)
Jianyu Li, Kun Yue, Jie Li, Liang Duan
2021 J jnl
Improving spectral clustering with deep embedding, cluster estimation and metric learning.
Knowl. Inf. Syst.
Liang Duan, Shuai Ma, Charu Aggarwal, Saket Sathe
2021 J jnl
Matrix factorization based Bayesian network embedding for efficient probabilistic inferences.
Expert Syst. Appl.
Zhiwei Qi, Kun Yue, Liang Duan, Jiahui Wang, Shaojie Qiao, Xiaodong Fu
2021 J jnl
Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes.
Clust. Comput.
Jia Hao, Kun Yue, Liang Duan, Binbin Zhang, Xiaodong Fu
2021 — conf
Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns.
DASFAA (1)
Jie Li, Kun Yue, Liang Duan, Jianyu Li
2021 J jnl
Transfer learning of Bayesian network for measuring QoS of virtual machines.
Appl. Intell.
Jia Hao, Kun Yue, Binbin Zhang, Liang Duan, Xiaodong Fu
2020 J jnl
A parallel and constraint induced approach to modeling user preference from rating data.
Knowl. Based Syst.
Kun Yue, Xinran Wu, Liang Duan, Shaojie Qiao, Hao Wu
2019 A* conf
Improving Spectral Clustering with Deep Embedding and Cluster Estimation.
ICDM
Liang Duan, Charu C. Aggarwal, Shuai Ma, Saket Sathe
2017 J jnl
An Ensemble Approach to Link Prediction.
IEEE Trans. Knowl. Data Eng.
Liang Duan, Shuai Ma, Charu C. Aggarwal, Tiejun Ma, Jinpeng Huai
2016 J jnl
Ensemble Enabled Weighted PageRank.
CoRR
Dongsheng Luo, Chen Gong, Renjun Hu, Liang Duan, Shuai Ma
2016 A conf
Scaling up Link Prediction with Ensembles.
WSDM
Liang Duan, Charu C. Aggarwal, Shuai Ma, Renjun Hu, Jinpeng Huai
2015 J jnl
Extending Conditional Dependencies with Built-in Predicates.
IEEE Trans. Knowl. Data Eng.
Shuai Ma, Liang Duan, Wenfei Fan, Chunming Hu, Wenguang Chen
2015 — conf
Tracing Errors in Probabilistic Databases Based on the Bayesian Network.
DASFAA (2)
Liang Duan, Kun Yue, Cheqing Jin, Wenlin Xu, Weiyi Liu
2013 — conf
An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory.
WISE (2)
Wenlin Xu, Kun Yue, Jin Li, Liang Duan, Suiye Liu, Weiyi Liu
2013 — conf
Cleaning Missing Data Based on the Bayesian Network.
WAIM Workshops
Liang Duan, Kun Yue, Wenhua Qian, Weiyi Liu