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ORCIDLongbing Cao
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- affiliation: University of Technology Sydney, Australia
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2020 – today
- 2022
[j145]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)- [j144]Longbing Cao:
AI Science and Engineering: A New Field. IEEE Intell. Syst. 37(1): 3-13 (2022) - [j143]Longbing Cao:
AI Science and Engineering. IEEE Intell. Syst. 37(1): 14-15 (2022) - [j142]Longbing Cao:
A New Age of AI: Features and Futures. IEEE Intell. Syst. 37(1): 25-37 (2022) - [j141]Longbing Cao:
AI in Combating the COVID-19 Pandemic. IEEE Intell. Syst. 37(2): 3-13 (2022) - [j140]Longbing Cao:
Non-IID Federated Learning. IEEE Intell. Syst. 37(2): 14-15 (2022) - [j139]Chengzhang Zhu, Longbing Cao, Jianping Yin:
Unsupervised Heterogeneous Coupling Learning for Categorical Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 533-549 (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) - [c185]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 - [i45]Zhilin Zhao, Longbing Cao, Yuan-Yu Wan:
Coupling Online-Offline Learning for Multi-distributional Data Streams. CoRR abs/2202.05996 (2022) - [i44]Wei Wang, Longbing Cao:
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences. CoRR abs/2204.03571 (2022) - [i43]Zhilin Zhao, Longbing Cao, Chang-Dong Wang:
Gray Learning from Non-IID Data with Out-of-distribution Samples. CoRR abs/2206.09375 (2022) - [i42]Zhilin Zhao, Longbing Cao, Kun-Yu Lin:
Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection. CoRR abs/2206.09380 (2022) - [i41]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) - [i40]Zhilin Zhao, Longbing Cao:
Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection. CoRR abs/2206.09387 (2022) - 2021
- [j137]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 (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]Yi Ouyang, Bin Guo, Tong Guo, Longbing Cao, Zhiwen Yu:
Modeling and Forecasting the Popularity Evolution of Mobile Apps: A Multivariate Hawkes Process Approach. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 182:1-182:23 (2018) - [j107]Lizhen Wang, Xuguang Bao, Hongmei Chen, Longbing Cao:
Effective lossless condensed representation and discovery of spatial co-location patterns. Inf. Sci. 436-437: 197-213 (2018) - [j106]Zhaohong Deng, Junyong Chen, Te Zhang, Longbing Cao, Shitong Wang:
Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models. Inf. Sci. 436-437: 302-319 (2018) - [j105]Xiangjun Dong, Yongshun Gong, Longbing Cao:
F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. Pattern Recognit. 84: 13-27 (2018) - [j104]Yonggang Huang, Longbing Cao, Jun Zhang, Lei Pan, Yuying Liu:
Exploring Feature Coupling and Model Coupling for Image Source Identification. IEEE Trans. Inf. Forensics Secur. 13(12): 3108-3121 (2018) - [j103]Can Wang, Chi-Hung Chi, Zhong She, Longbing Cao, Bela Stantic:
Coupled Clustering Ensemble by Exploring Data Interdependence. ACM Trans. Knowl. Discov. Data 12(6): 63:1-63:38 (2018) - [j102]Chengzhang Zhu, Longbing Cao, Qiang Liu, Jianping Yin, Vipin Kumar:
Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings. IEEE Trans. Knowl. Data Eng. 30(7): 1254-1267 (2018) - [j101]Songlei Jian, Longbing Cao, Kai Lu, Hang Gao:
Unsupervised Coupled Metric Similarity for Non-IID Categorical Data. IEEE Trans. Knowl. Data Eng. 30(9): 1810-1823 (2018) - [j100]Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie:
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. 36(3): 33:1-33:29 (2018) - [c164]Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu:
Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI 2018: 2532-2539 - [c163]Trong Dinh Thac Do, Longbing Cao:
Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation. AAAI 2018: 2918-2925 - [c162]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Metric-Based Auto-Instructor for Learning Mixed Data Representation. AAAI 2018: 3318-3325 - [c161]Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu:
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI 2018: 3892-3899 - [c160]Lizhen Wang, Xuguang Bao, Longbing Cao:
Interactive Probabilistic Post-Mining of User-Preferred Spatial Co-Location Patterns. ICDE 2018: 1256-1259 - [c159]Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao, Jie Yang:
Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. ICONIP (1) 2018: 12-20 - [c158]Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen:
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. IJCAI 2018: 3400-3406 - [c157]Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun:
CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering. IJCAI 2018: 3662-3668 - [c156]Trong Dinh Thac Do, Longbing Cao:
Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation. IJCAI 2018: 5010-5016 - [c155]Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie:
High-order Proximity Preserving Information Network Hashing. KDD 2018: 1744-1753 - [c154]Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. KDD 2018: 2041-2050 - [c153]Trong Dinh Thac Do, Longbing Cao:
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence. NeurIPS 2018: 5829-5840 - [c152]Jia Xu, Longbing Cao:
Vine Copula-Based Asymmetry and Tail Dependence Modeling. PAKDD (1) 2018: 285-297 - [c151]Liying Zhang, Longbing Cao, Sheng Luo, Lei Gu, Yijin Chen, Yuanfeng Lian:
Coupled Collective Matrix Factorization. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1023-1030 - [i12]Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. CoRR abs/1806.04808 (2018) - 2017
- [j99]Yunzhi Jiang, Pohsiang Tsai, Wei-Chang Yeh, Longbing Cao:
A honey-bee-mating based algorithm for multilevel image segmentation using Bayesian theorem. Appl. Soft Comput. 52: 1181-1190 (2017) - [j98]Longbing Cao:
Data science: challenges and directions. Commun. ACM 60(8): 59-68 (2017) - [j97]Longbing Cao:
Data Science: A Comprehensive Overview. ACM Comput. Surv. 50(3): 43:1-43:42 (2017) - [j96]Tingting Zhai, Yang Gao, Hao Wang, Longbing Cao:
Classification of high-dimensional evolving data streams via a resource-efficient online ensemble. Data Min. Knowl. Discov. 31(5): 1242-1265 (2017) - [j95]Shameek Ghosh, Jinyan Li, Longbing Cao, Kotagiri Ramamohanarao:
Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns. J. Biomed. Informatics 66: 19-31 (2017) - [j94]Xiangfu Meng, Longbing Cao, Xiaoyan Zhang, Jingyu Shao:
Top-k coupled keyword recommendation for relational keyword queries. Knowl. Inf. Syst. 50(3): 883-916 (2017) - [j93]Bo Liu, Yanshan Xiao, Longbing Cao:
SVM-based multi-state-mapping approach for multi-class classification. Knowl. Based Syst. 129: 79-96 (2017) - [j92]