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ORCIDLongbing Cao
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- affiliation: University of Technology Sydney, Australia
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2020 – today
- 2024
[b3]Longbing Cao
:
Global COVID-19 Research and Modeling - A Historical Record, 1. Springer 2024, ISBN 978-981-99-9914-9, pp. 1-342- [j169]Longbing Cao:
Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI. Int. J. Data Sci. Anal. 18(3): 219-238 (2024) - [j168]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. IEEE Trans. Knowl. Data Eng. 36(6): 2504-2516 (2024) - [j167]Wei Wang, Longbing Cao:
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5183-5197 (2024) - [j166]Yawen Zheng, Xiaojie Zhao, Li Yao, Longbing Cao:
Deep Multidilation Temporal and Spatial Dependence Modeling in Stereoscopic 3-D EEG for Visual Discomfort Assessment. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2125-2136 (2024) - [c196]An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI 2024: 18426-18434 - [i69]Zhangkai Wu, Longbing Cao, Qi Zhang, Junxian Zhou, Hui Chen:
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection. CoRR abs/2401.03341 (2024) - [i68]Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao:
DE3-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. CoRR abs/2402.05948 (2024) - [i67]Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal:
Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR abs/2402.08241 (2024) - [i66]Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao:
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. CoRR abs/2404.15657 (2024) - [i65]Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao:
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks. CoRR abs/2405.15268 (2024) - [i64]Longbing Cao:
AI Robots and Humanoid AI: Review, Perspectives and Directions. CoRR abs/2405.15775 (2024) - [i63]Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao:
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. CoRR abs/2407.13194 (2024) - [i62]Jiaxing Miao, Liang Hu, Qi Zhang, Longbing Cao:
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks. CoRR abs/2407.19183 (2024) - 2023
- [j165]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) - [j164]Longbing Cao:
AI in Finance: Challenges, Techniques, and Opportunities. ACM Comput. Surv. 55(3): 64:1-64:38 (2023) - [j163]Longbing Cao:
Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science. Int. J. Data Sci. Anal. 15(2): 119-132 (2023) - [j162]Longbing Cao:
AI and data science for smart emergency, crisis and disaster resilience. Int. J. Data Sci. Anal. 15(3): 231-246 (2023) - [j161]Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin:
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8888-8901 (2023) - [j160]Zhilin Zhao, Longbing Cao, Kun-Yu Lin:
Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15743-15758 (2023) - [j159]Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian:
Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11585-11598 (2023) - [j158]Zhilin Zhao, Longbing Cao:
Dual Representation Learning for Out-of-distribution Detection. Trans. Mach. Learn. Res. 2023 (2023) - [j157]Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong:
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1864-1878 (2023) - [c195]Yang Yang, Zhilin Zhao, Longbing Cao:
Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series. DSAA 2023: 1-10 - [c194]Matthew Lai, Longbing Cao, Haiyan Lu, Quang Ha, Li Li, Md. Jahangir Hossain, Paul J. Kennedy:
An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. IJCNN 2023: 1-8 - [c193]Yang Yang, Longbing Cao:
MTSNet: Deep Probabilistic Cross-multivariate Time Series Modeling with External Factors for COVID-19. IJCNN 2023: 1-10 - [c192]Zhilin Zhao, Longbing Cao:
R-divergence for Estimating Model-oriented Distribution Discrepancy. NeurIPS 2023 - [c191]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS 2023 - [c190]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS 2023 - [i61]Zhangkai Wu, Longbing Cao, Lei Qi:
eVAE: Evolutionary Variational Autoencoder. CoRR abs/2301.00011 (2023) - [i60]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) - [i59]Yu Dong, Jie Liang, Longbing Cao, Daniel R. Catchpoole:
ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty. CoRR abs/2303.13558 (2023) - [i58]Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar:
Bayesian Federated Learning: A Survey. CoRR abs/2304.13267 (2023) - [i57]Jia Xu, Longbing Cao:
Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling. CoRR abs/2305.08778 (2023) - [i56]Zhangkai Wu, Longbing Cao:
C2VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior. CoRR abs/2309.13303 (2023) - [i55]Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang:
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations. CoRR abs/2309.15499 (2023) - [i54]Zhilin Zhao, Longbing Cao:
R-divergence for Estimating Model-oriented Distribution Discrepancy. CoRR abs/2310.01109 (2023) - [i53]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR abs/2311.06184 (2023) - [i52]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR abs/2311.06190 (2023) - [i51]Zhilin Zhao, Longbing Cao, Yixuan Zhang:
Out-of-Distribution Knowledge Distillation via Confidence Amendment. CoRR abs/2311.07975 (2023) - [i50]An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. CoRR abs/2312.11023 (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]