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ORCIDLongbing Cao
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- affiliation: University of Technology Sydney, Australia
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2020 – today
- 2023
[j159]Qinfen Wang, Geng Chen, Xuting Jin, Siyuan Ren, Gang Wang, Longbing Cao, Yong Xia:
BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series. Comput. Biol. Medicine 155: 106586 (2023)- [j158]Longbing Cao:
AI in Finance: Challenges, Techniques, and Opportunities. ACM Comput. Surv. 55(3): 64:1-64:38 (2023) - [j157]Longbing Cao:
Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science. Int. J. Data Sci. Anal. 15(2): 119-132 (2023) - [i51]Zhangkai Wu, Longbing Cao, Lei Qi:
eVAE: Evolutionary Variational Autoencoder. CoRR abs/2301.00011 (2023) - [i50]Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao:
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective. CoRR abs/2301.11535 (2023) - 2022
- [j156]Guansong Pang, Chunhua Shen, Longbing Cao
, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. ACM Comput. Surv. 54(2): 38:1-38:38 (2022) - [j155]Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian:
A Survey on Session-based Recommender Systems. ACM Comput. Surv. 54(7): 154:1-154:38 (2022) - [j154]Longbing Cao:
AI Science and Engineering: A New Field. IEEE Intell. Syst. 37(1): 3-13 (2022) - [j153]Longbing Cao:
AI Science and Engineering. IEEE Intell. Syst. 37(1): 14-15 (2022) - [j152]Longbing Cao:
A New Age of AI: Features and Futures. IEEE Intell. Syst. 37(1): 25-37 (2022) - [j151]Longbing Cao:
AI in Combating the COVID-19 Pandemic. IEEE Intell. Syst. 37(2): 3-13 (2022) - [j150]Longbing Cao:
Non-IID Federated Learning. IEEE Intell. Syst. 37(2): 14-15 (2022) - [j149]Longbing Cao:
Deep Learning Applications. IEEE Intell. Syst. 37(3): 3-5 (2022) - [j148]Longbing Cao:
Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci. IEEE Intell. Syst. 37(3): 6-19 (2022) - [j147]Longbing Cao:
Non-IID Learning. IEEE Intell. Syst. 37(4): 3-4 (2022) - [j146]Longbing Cao:
Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning. IEEE Intell. Syst. 37(4): 5-17 (2022) - [j145]Xuan Li, Peijun Ye, Juanjuan Li, Zhongmin Liu, Longbing Cao, Fei-Yue Wang:
From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V. IEEE Intell. Syst. 37(4): 18-26 (2022) - [j144]Longbing Cao:
AutoAI: Autonomous AI. IEEE Intell. Syst. 37(5): 3-5 (2022) - [j143]Longbing Cao:
Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action. IEEE Intell. Syst. 37(5): 6-18 (2022) - [j142]Siyuan Ren, Bin Guo, Ke Li, Qianru Wang, Zhiwen Yu, Longbing Cao:
CoupledMUTS: Coupled Multivariate Utility Time-Series Representation and Prediction. IEEE Internet Things J. 9(22): 22972-22982 (2022) - [j141]Chengzhang Zhu, Longbing Cao, Jianping Yin:
Unsupervised Heterogeneous Coupling Learning for Categorical Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 533-549 (2022) - [j140]Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu:
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction. ACM Trans. Intell. Syst. Technol. 13(6): 89:1-89:22 (2022) - [j139]Jing Huang, Kun Luo, Longbing Cao, Yuanqiao Wen, Shuyuan Zhong:
Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 23(11): 20681-20695 (2022) - [j138]Jinjin Guo, Longbing Cao, Zhiguo Gong:
Recurrent Coupled Topic Modeling over Sequential Documents. ACM Trans. Knowl. Discov. Data 16(1): 8:1-8:32 (2022) - [j137]Qi Zhang, Longbing Cao, Chongyang Shi, Zhendong Niu:
Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5125-5137 (2022) - [c189]Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang:
Deep Learning for Search and Recommendation. CIKM 2022: 5171-5172 - [c188]Mohammad Fahim Arefin, Chowdhury Farhan Ahmed, Redwan Ahmed Rizvee, Carson K. Leung, Longbing Cao:
Mining Contextual Item Similarity without Concept Hierarchy. IMCOM 2022: 1-8 - [c187]Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu:
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. IJCAI 2022: 1651-1657 - [c186]Longbing Cao, Philip S. Yu, Zhilin Zhao:
Shallow and Deep Non-IID Learning on Complex Data. KDD 2022: 4774-4775 - [c185]Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD 2022: 4892-4893 - [i49]Zhilin Zhao, Longbing Cao, Yuan-Yu Wan:
Coupling Online-Offline Learning for Multi-distributional Data Streams. CoRR abs/2202.05996 (2022) - [i48]Wei Wang, Longbing Cao:
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences. CoRR abs/2204.03571 (2022) - [i47]Zhilin Zhao, Longbing Cao, Chang-Dong Wang:
Gray Learning from Non-IID Data with Out-of-distribution Samples. CoRR abs/2206.09375 (2022) - [i46]Zhilin Zhao, Longbing Cao, Kun-Yu Lin:
Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection. CoRR abs/2206.09380 (2022) - [i45]Zhilin Zhao, Longbing Cao, Kun-Yu Lin:
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data. CoRR abs/2206.09385 (2022) - [i44]Zhilin Zhao, Longbing Cao:
Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection. CoRR abs/2206.09387 (2022) - [i43]Qi Zhang, Liang Hu, Chongyang Shi, Ke Liu, Longbing Cao:
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning. CoRR abs/2206.14523 (2022) - [i42]Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao:
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. CoRR abs/2209.00654 (2022) - [i41]Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu:
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. CoRR abs/2210.03093 (2022) - [i40]Rui Yu, Yifeng Li, Wenpeng Lu, Longbing Cao:
Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing. CoRR abs/2211.02899 (2022) - 2021
- [j136]Guansong Pang, Longbing Cao, Ling Chen:
Homophily outlier detection in non-IID categorical data. Data Min. Knowl. Discov. 35(4): 1163-1224 (2021) - [j135]Shufeng Hao, Chongyang Shi, Longbing Cao, Zhendong Niu, Ping Guo:
Learning deep relevance couplings for ad-hoc document retrieval. Expert Syst. Appl. 183: 115335 (2021) - [j134]Can Wang, Fosca Giannotti, Longbing Cao:
Learning Complex Couplings and Interactions. IEEE Intell. Syst. 36(1): 3-5 (2021) - [j133]Qing Liu, Trong Dinh Thac Do, Longbing Cao:
Answer Keyword Generation for Community Question Answering by Multiaspect Gamma-Poisson Matrix Completion. IEEE Intell. Syst. 36(4): 35-47 (2021) - [j132]Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu:
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intell. Syst. 36(4): 56-64 (2021) - [j131]Longbing Cao, Qiang Yang, Philip S. Yu:
Data science and AI in FinTech: an overview. Int. J. Data Sci. Anal. 12(2): 81-99 (2021) - [j130]Jinjin Guo, Zhiguo Gong, Longbing Cao:
dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream. ACM Trans. Intell. Syst. Technol. 12(5): 57:1-57:25 (2021) - [j129]Wei Wang, Longbing Cao:
VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints. ACM Trans. Inf. Syst. 39(2): 22:1-22:27 (2021) - [j128]Wei Wang, Longbing Cao:
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback. ACM Trans. Inf. Syst. 39(3): 24:1-24:26 (2021) - [c184]Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen:
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. AAAI 2021: 4418-4426 - [c183]Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu:
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. AAAI 2021: 4671-4678 - [c182]Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao:
Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation. AAAI 2021: 14454-14462 - [c181]Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao:
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. CIKM 2021: 3493-3497 - [c180]Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao:
Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation. EMNLP (1) 2021: 3238-3248 - [c179]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu:
Graph Learning based Recommender Systems: A Review. IJCAI 2021: 4644-4652 - [c178]Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD 2021: 1298-1308 - [c177]Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD 2021: 4145-4146 - [c176]Guansong Pang, Longbing Cao, Charu Aggarwal:
Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. WSDM 2021: 1127-1130 - [i39]Guansong Pang, Longbing Cao, Ling Chen:
Homophily Outlier Detection in Non-IID Categorical Data. CoRR abs/2103.11516 (2021) - [i38]Longbing Cao, Qing Liu, Wenfeng Hou:
COVID-19 Modeling: A Review. CoRR abs/2104.12556 (2021) - [i37]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu:
Graph Learning based Recommender Systems: A Review. CoRR abs/2105.06339 (2021) - [i36]Jinjin Guo, Longbing Cao, Zhiguo Gong:
Recurrent Coupled Topic Modeling over Sequential Documents. CoRR abs/2106.13732 (2021) - [i35]Longbing Cao:
AI in Finance: Challenges, Techniques and Opportunities. CoRR abs/2107.09051 (2021) - [i34]Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu:
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction. CoRR abs/2108.08170 (2021) - [i33]Longbing Cao, Chengzhang Zhu:
Personalized next-best action recommendation with multi-party interaction learning for automated decision-making. CoRR abs/2108.08846 (2021) - [i32]Zhilin Zhao, Longbing Cao, Kun-Yu Lin:
Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators. CoRR abs/2108.09976 (2021) - [i31]Qing Liu, Longbing Cao:
Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections. CoRR abs/2108.10029 (2021) - [i30]Longbing Cao, Chengzhang Zhu:
Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science. CoRR abs/2112.01830 (2021) - 2020
- [j127]Longbing Cao, Marley M. B. R. Vellasco:
IEEE DSAA-The IEEE Flagship Conference in Data Science [Society Briefs]. IEEE Comput. Intell. Mag. 15(3): 9-11 (2020) - [j126]Longbing Cao, George Yuan, Tim Leung, Wei Zhang:
Special Issue on AI and FinTech: The Challenge Ahead. IEEE Intell. Syst. 35(2): 3-6 (2020) - [j125]Longbing Cao, George Yuan, Tim Leung, Wei Zhang:
Special Issue on AI and FinTech: The Challenge Ahead. IEEE Intell. Syst. 35(3): 3-6 (2020) - [j124]Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao:
The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. IEEE Intell. Syst. 35(5): 3-6 (2020) - [j123]Xiangjun Dong, Yongshun Gong, Longbing Cao:
e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns. IEEE Trans. Cybern. 50(5): 2084-2096 (2020) - [j122]Guansong Pang, Longbing Cao:
Heterogeneous Univariate Outlier Ensembles in Multidimensional Data. ACM Trans. Knowl. Discov. Data 14(6): 68:1-68:27 (2020) - [j121]Shoujin Wang, Longbing Cao:
Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency. IEEE Trans. Syst. Man Cybern. Syst. 50(3): 935-946 (2020) - [c175]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. AAAI 2020: 4320-4327 - [c174]Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. AAAI 2020: 6259-6266 - [c173]Chengzhang Zhu, Qi Zhang, Longbing Cao, Arman Abrahamyan:
Mix2Vec: Unsupervised Mixed Data Representation. DSAA 2020: 118-127 - [c172]Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. IJCAI 2020: 2333-2339 - [c171]Longxiang Shi, Shijian Li, Qian Zheng, Longbing Cao, Long Yang, Gang Pan:
Maximum Entropy Reinforcement Learning with Evolution Strategies. IJCNN 2020: 1-8 - [e24]Geoffrey I. Webb, Zhongfei Zhang, Vincent S. Tseng, Graham Williams, Michalis Vlachos, Longbing Cao:
7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020. IEEE 2020, ISBN 978-1-7281-8206-3 [contents] - [i29]Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun:
Sequential Recommender Systems: Challenges, Progress and Prospects. CoRR abs/2001.04830 (2020) - [i28]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu:
Graph Learning Approaches to Recommender Systems: A Review. CoRR abs/2004.11718 (2020) - [i27]Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu:
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. CoRR abs/2006.04530 (2020) - [i26]Longbing Cao:
Data Science: Nature and Pitfalls. CoRR abs/2006.16964 (2020) - [i25]Longbing Cao:
Data Science: Challenges and Directions. CoRR abs/2006.16966 (2020) - [i24]Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. CoRR abs/2007.02500 (2020) - [i23]Longbing Cao:
Data Science: A Comprehensive Overview. CoRR abs/2007.03606 (2020) - [i22]Longbing Cao:
Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting. CoRR abs/2007.07217 (2020) - [i21]Chengzhang Zhu, Longbing Cao, Jianping Yin:
Unsupervised Heterogeneous Coupling Learning for Categorical Representation. CoRR abs/2007.10720 (2020) - [i20]Longbing Cao:
AI in FinTech: A Research Agenda. CoRR abs/2007.12681 (2020) - [i19]Longbing Cao:
Coupling Learning of Complex Interactions. CoRR abs/2007.13534 (2020) - [i18]Longbing Cao:
In-Depth Behavior Understanding and Use: The Behavior Informatics Approach. CoRR abs/2007.15516 (2020) - [i17]Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao:
Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. CoRR abs/2008.04652 (2020) - [i16]Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Deep Reinforcement Learning for Unknown Anomaly Detection. CoRR abs/2009.06847 (2020)
2010 – 2019
- 2019
- [j120]Bin Guo, Yi Ouyang, Tong Guo, Longbing Cao, Zhiwen Yu:
Enhancing Mobile App User Understanding and Marketing With Heterogeneous Crowdsourced Data: A Review. IEEE Access 7: 68557-68571 (2019) - [j119]Liang Hu, Qingkui Chen, Longbing Cao, Songlei Jian, Haiyan Zhao, Jian Cao:
Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis. IEEE Access 7: 98639-98651 (2019) - [j118]Wei Wang, Longbing Cao:
Negative Sequence Analysis: A Review. ACM Comput. Surv. 52(2): 32:1-32:39 (2019) - [j117]Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao:
Modeling positive and negative feedback for improving document retrieval. Expert Syst. Appl. 120: 253-261 (2019) - [j116]Longbing Cao:
Data Science: Profession and Education. IEEE Intell. Syst. 34(5): 35-44 (2019) - [j115]Qi Zhang, Chongyang Shi, Zhendong Niu, Longbing Cao:
HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering. IEEE Trans. Knowl. Data Eng. 31(1): 152-165 (2019) - [j114]Songlei Jian, Guansong Pang, Longbing Cao, Kai Lu, Hang Gao:
CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. IEEE Trans. Knowl. Data Eng. 31(5): 853-866 (2019) - [j113]Xiangjun Dong, Ping Qiu, Jinhu Lü, Longbing Cao, Tiantian Xu:
Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2764-2778 (2019) - [c170]Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang:
Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. AAAI 2019: 379-386 - [c169]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao:
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. AAAI 2019: 598-605 - [c168]Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan:
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. AAAI 2019: 3830-3837 - [c167]Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan:
TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. AAMAS 2019: 1025-1032 - [c166]Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. IJCAI 2019: 3771-3777 - [c165]Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun:
Sequential Recommender Systems: Challenges, Progress and Prospects. IJCAI 2019: 6332-6338 - [i15]Shoujin Wang, Longbing Cao, Yan Wang:
A Survey on Session-based Recommender Systems. CoRR abs/1902.04864 (2019) - [i14]Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan:
TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. CoRR abs/1905.07237 (2019) - [i13]Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang:
Multi-view Information-theoretic Co-clustering for Co-occurrence Data. CoRR abs/1905.10594 (2019) - 2018
- [j112]Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao:
Concept coupling learning for improving concept lattice-based document retrieval. Eng. Appl. Artif. Intell. 69: 65-75 (2018) - [j111]Fanrong Meng, Xiaobin Rui, Zhixiao Wang, Yan Xing, Longbing Cao:
Coupled Node Similarity Learning for Community Detection in Attributed Networks. Entropy 20(6): 471 (2018) - [j110]Liang Hu, Qingkui Chen, Haiyan Zhao, Songlei Jian, Longbing Cao, Jian Cao:
Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context. IEEE Intell. Syst. 33(6): 57-67 (2018) - [j109]Longbing Cao, Jae-Gil Lee, Xuemin Lin:
Introduction to the special issue on Data Science in Asia (with PAKDD'2017). Int. J. Data Sci. Anal. 6(4): 271-272 (2018) - [j108]