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ORCIDLiang Duan
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- affiliation: Yunnan University, China
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Journal Articles
- 2025
[j14]Wenbiao Yan
, Jihua Zhu, Jinqian Chen, Haozhe Cheng, Shunshun Bai, Liang Duan, Qinghai Zheng:
Partially multi-view clustering via re-alignment. Neural Networks 182: 106884 (2025)- 2024
- [j13]Xinran Wu, Kun Yue, Liang Duan, Xiaodong Fu:
Learning a Bayesian network with multiple latent variables for implicit relation representation. Data Min. Knowl. Discov. 38(4): 1634-1669 (2024) - [j12]Liang Duan, Rongfei Yang, Kun Yue, Zhengbao Sun, Guowu Yuan:
Video object detection via space-time feature aggregation and result reuse. IET Image Process. 18(12): 3356-3367 (2024) - [j11]Zhiwei Qi, Tong Lu, Kun Yue, Liang Duan:
Similarity search on social networks with incremental graph indexing based on probabilistic inference. Int. J. Web Inf. Syst. 20(4): 395-412 (2024) - 2023
- [j10]Shanna Zhong, Jiahui Wang, Kun Yue, Liang Duan, Zhengbao Sun, Yan Fang:
Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention. Data Sci. Eng. 8(4): 385-395 (2023) - 2022
- [j9]Zhiwei Qi, Kun Yue, Liang Duan, Kuang Hu, Zhihong Liang:
Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables. Inf. Sci. 590: 198-216 (2022) - [j8]Jiahui Wang, Kun Yue, Liang Duan, Zhiwei Qi, Shaojie Qiao:
An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding. Knowl. Based Syst. 239: 107996 (2022) - 2021
- [j7]Jia Hao, Kun Yue, Binbin Zhang, Liang Duan, Xiaodong Fu:
Transfer learning of Bayesian network for measuring QoS of virtual machines. Appl. Intell. 51(12): 8641-8660 (2021) - [j6]Jia Hao, Kun Yue, Liang Duan, Binbin Zhang, Xiaodong Fu:
Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes. Clust. Comput. 24(2): 1165-1184 (2021) - [j5]Zhiwei Qi, Kun Yue, Liang Duan, Jiahui Wang, Shaojie Qiao, Xiaodong Fu:
Matrix factorization based Bayesian network embedding for efficient probabilistic inferences. Expert Syst. Appl. 169: 114294 (2021) - [j4]Liang Duan, Shuai Ma, Charu Aggarwal, Saket Sathe:
Improving spectral clustering with deep embedding, cluster estimation and metric learning. Knowl. Inf. Syst. 63(3): 675-694 (2021) - 2020
- [j3]Kun Yue, Xinran Wu, Liang Duan, Shaojie Qiao, Hao Wu:
A parallel and constraint induced approach to modeling user preference from rating data. Knowl. Based Syst. 204: 106206 (2020) - 2017
- [j2]Liang Duan, Shuai Ma, Charu C. Aggarwal, Tiejun Ma, Jinpeng Huai:
An Ensemble Approach to Link Prediction. IEEE Trans. Knowl. Data Eng. 29(11): 2402-2416 (2017) - 2015
- [j1]Shuai Ma, Liang Duan, Wenfei Fan, Chunming Hu, Wenguang Chen:
Extending Conditional Dependencies with Built-in Predicates. IEEE Trans. Knowl. Data Eng. 27(12): 3274-3288 (2015)
Conference and Workshop Papers
- 2024
- [c18]Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li:
Structural Entropy Based Graph Structure Learning for Node Classification. AAAI 2024: 8372-8379 - [c17]Kun Yue, Zhiwei Qi, Liang Duan:
Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences. CIKM 2024: 3073-3082 - [c16]Fulu Kou, Lixing Yu, Kun Yue, Liang Duan, Zhongbin Li:
Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions. DASFAA (5) 2024: 459-475 - [c15]Gang Hu, Xiaoqin Zeng, Wanlong Yu, Min Peng, Mengting Yuan, Liang Duan:
Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search. ESEM 2024: 1-12 - [c14]Xu Zhu, Zhiwei Qi, Kun Yue, Yunshan Su, Liang Duan:
Directed Brain Network Transformer for Psychiatric Diagnosis. ICPR (11) 2024: 207-221 - 2023
- [c13]Tong Lu, Zhiwei Qi, Kun Yue, Liang Duan:
Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks. CollaborateCom (2) 2023: 458-473 - [c12]Zhongbin Li, Liang Duan, Kun Yue:
Efficient Inference of Markov Logic Network for Link Prediction. GCCE 2023: 352-353 - 2022
- [c11]Jiahui Wang, Kun Yue, Liang Duan:
An Approach for Domain Relation Extraction. GCCE 2022: 249-250 - [c10]Zhiwei Qi, Kun Yue, Liang Duan, Zhihong Liang:
Similarity Search with Graph Index on Directed Social Network Embedding. ICWE 2022: 82-97 - [c9]Kaiyu Song, Kun Yue, Liang Duan, Mingze Yang, Angsheng Li:
Mutual information based Bayesian graph neural network for few-shot learning. UAI 2022: 1866-1875 - [c8]Shanna Zhong, Kun Yue, Liang Duan:
Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features. WISE 2022: 259-273 - 2021
- [c7]Jianyu Li, Kun Yue, Jie Li, Liang Duan:
A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph. APWeb/WAIM (2) 2021: 75-89 - [c6]Jie Li, Kun Yue, Liang Duan, Jianyu Li:
Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns. DASFAA (1) 2021: 224-239 - 2019
- [c5]Liang Duan, Charu C. Aggarwal, Shuai Ma, Saket Sathe:
Improving Spectral Clustering with Deep Embedding and Cluster Estimation. ICDM 2019: 170-179 - 2016
- [c4]Liang Duan, Charu C. Aggarwal, Shuai Ma, Renjun Hu, Jinpeng Huai:
Scaling up Link Prediction with Ensembles. WSDM 2016: 367-376 - 2015
- [c3]Liang Duan, Kun Yue, Cheqing Jin, Wenlin Xu, Weiyi Liu:
Tracing Errors in Probabilistic Databases Based on the Bayesian Network. DASFAA (2) 2015: 104-119 - 2013
- [c2]Liang Duan, Kun Yue, Wenhua Qian, Weiyi Liu:
Cleaning Missing Data Based on the Bayesian Network. WAIM Workshops 2013: 348-359 - [c1]Wenlin Xu, Kun Yue, Jin Li, Liang Duan, Suiye Liu, Weiyi Liu:
An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory. WISE (2) 2013: 458-468
Informal and Other Publications
- 2016
- [i1]Dongsheng Luo, Chen Gong, Renjun Hu, Liang Duan, Shuai Ma:
Ensemble Enabled Weighted PageRank. CoRR abs/1604.05462 (2016)
Coauthor Index
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