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Deep Reinforcement Learning for Unknown Anomaly Detection

Sep 15, 2020
Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao

* 18 pages, 5 figures, 5 tables 

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Unsupervised Heterogeneous Coupling Learning for Categorical Representation

Jul 21, 2020
Chengzhang Zhu, Longbing Cao, Jianping Yin


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Deep Learning for Anomaly Detection: A Review

Jul 08, 2020
Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel

* Survey paper, 36 pages, 180 references, 2 figures, 3 tables 

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Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting

Jul 01, 2020
Longbing Cao

* Engineering, 2: 212-224, 2016 

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Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation

May 30, 2020
Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu

* Accepted by IEEE Intelligent Systems 

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Sequential Recommender Systems: Challenges, Progress and Prospects

Dec 28, 2019
Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet Orgun

* IJCAI-2019 Survey Track Paper 

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FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control

Jul 10, 2019
Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Zheng, Gang Pan

* 9 pages 

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Multi-view Information-theoretic Co-clustering for Co-occurrence Data

May 25, 2019
Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang

* AAAI 2019 

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TBQ($σ$): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning

May 17, 2019
Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan

* 8 pages 

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Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

Jun 13, 2018
Guansong Pang, Longbing Cao, Ling Chen, Huan Liu

* 10 pages, 4 figures, 3 tables. To appear in the proceedings of KDD18, Long presentation (oral) 

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CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data

Feb 18, 2015
Fangfang Li, Guandong Xu, Longbing Cao


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Coupled Item-based Matrix Factorization

Apr 08, 2014
Fangfang Li, Guandong Xu, Longbing Cao

* 7 pages submitted to AAAI2014. arXiv admin note: substantial text overlap with arXiv:1404.7467 

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Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations

Oct 06, 2013
Xuhui Fan, Longbing Cao, Richard Yi Da Xu


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Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network

Oct 06, 2013
Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song


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Non-parametric Power-law Data Clustering

Jun 13, 2013
Xuhui Fan, Yiling Zeng, Longbing Cao


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A Convergence Theorem for the Graph Shift-type Algorithms

Jun 13, 2013
Xuhui Fan, Longbing Cao


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Dynamic Infinite Mixed-Membership Stochastic Blockmodel

Jun 13, 2013
Xuhui Fan, Longbing Cao, Richard Yi Da Xu


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Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models

May 24, 2013
Yin Song, Longbing Cao, Xuhui Fan, Wei Cao, Jian Zhang


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Novel Intrusion Detection using Probabilistic Neural Network and Adaptive Boosting

Nov 03, 2009
Tich Phuoc Tran, Longbing Cao, Dat Tran, Cuong Duc Nguyen

* International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 1, pp. 083-091, October 2009, USA 
* 9 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact Factor 0.423, http://sites.google.com/site/ijcsis/ 

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