Longbing Cao

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 225

Top Venues

Publications

Zhangkai Wu, Longbing Cao, Qi Zhang, Junxian Zhou, Hui Chen
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection. CoRR (2024)
Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao
-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. CoRR (2024)
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 (2024)
Longbing Cao
AI in Finance: Challenges, Techniques, and Opportunities. ACM Comput. Surv. 55 (3) (2023)
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) (2023)
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)
Yang Yang, Zhilin Zhao, Longbing Cao
Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series. DSAA (2023)
Zhilin Zhao, Longbing Cao
R-divergence for Estimating Model-oriented Distribution Discrepancy. CoRR (2023)
Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar
Bayesian Federated Learning: A Survey. CoRR (2023)
Zhilin Zhao, Longbing Cao
R-divergence for Estimating Model-oriented Distribution Discrepancy. NeurIPS (2023)
Zhilin Zhao, Longbing Cao, Yixuan Zhang
Out-of-Distribution Knowledge Distillation via Confidence Amendment. CoRR (2023)
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) (2023)
Zhangkai Wu, Longbing Cao
VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior. CoRR (2023)
Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
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) (2023)
Zhangkai Wu, Longbing Cao, Lei Qi
eVAE: Evolutionary Variational Autoencoder. CoRR (2023)
Longbing Cao
AI and data science for smart emergency, crisis and disaster resilience. Int. J. Data Sci. Anal. 15 (3) (2023)
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 (2023)
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 (2023)
Jia Xu, Longbing Cao
Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling. CoRR (2023)
Yang Yang, Longbing Cao
MTSNet: Deep Probabilistic Cross-multivariate Time Series Modeling with External Factors for COVID-19. IJCNN (2023)
Yu Dong, Jie Liang, Longbing Cao, Daniel R. Catchpoole
ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty. CoRR (2023)
Longbing Cao
Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science. Int. J. Data Sci. Anal. 15 (2) (2023)
Matthew Lai, Longbing Cao, Haiyan Lu, Quang Ha, Li Li, Jahangir Hossain, Paul J. Kennedy
An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. IJCNN (2023)
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)
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 (2022)
Longbing Cao
AI in Combating the COVID-19 Pandemic. IEEE Intell. Syst. 37 (2) (2022)
Zhilin Zhao, Longbing Cao
Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection. CoRR (2022)
Jinjin Guo, Longbing Cao, Zhiguo Gong
Recurrent Coupled Topic Modeling over Sequential Documents. ACM Trans. Knowl. Discov. Data 16 (1) (2022)
Longbing Cao
Deep Learning Applications. IEEE Intell. Syst. 37 (3) (2022)
Chengzhang Zhu, Longbing Cao, Jianping Yin
Unsupervised Heterogeneous Coupling Learning for Categorical Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Mohammad Fahim Arefin, Chowdhury Farhan Ahmed, Redwan Ahmed Rizvee, Carson K. Leung, Longbing Cao
Mining Contextual Item Similarity without Concept Hierarchy. IMCOM (2022)
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)
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) (2022)
Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD (2022)
Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang
Deep Learning for Search and Recommendation. CIKM (2022)
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) (2022)
Longbing Cao
Non-IID Learning. IEEE Intell. Syst. 37 (4) (2022)
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) (2022)
Longbing Cao
Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action. IEEE Intell. Syst. 37 (5) (2022)
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) (2022)
Longbing Cao
AutoAI: Autonomous AI. IEEE Intell. Syst. 37 (5) (2022)
Longbing Cao, Philip S. Yu, Zhilin Zhao
Shallow and Deep Non-IID Learning on Complex Data. KDD (2022)
Longbing Cao
Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci. IEEE Intell. Syst. 37 (3) (2022)
Longbing Cao
Non-IID Federated Learning. IEEE Intell. Syst. 37 (2) (2022)
Longbing Cao
AI Science and Engineering: A New Field. IEEE Intell. Syst. 37 (1) (2022)
Qi Zhang, Liang Hu, Chongyang Shi, Ke Liu, Longbing Cao
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning. CoRR (2022)
Zhilin Zhao, Longbing Cao, Chang-Dong Wang
Gray Learning from Non-IID Data with Out-of-distribution Samples. CoRR (2022)
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 (2022)
Zhilin Zhao, Longbing Cao, Yuan-Yu Wan
Coupling Online-Offline Learning for Multi-distributional Data Streams. CoRR (2022)
Longbing Cao
A New Age of AI: Features and Futures. IEEE Intell. Syst. 37 (1) (2022)
Zhilin Zhao, Longbing Cao, Kun-Yu Lin
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data. CoRR (2022)
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) (2022)
Rui Yu, Yifeng Li, Wenpeng Lu, Longbing Cao
Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing. CoRR (2022)
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) (2022)
Longbing Cao
AI Science and Engineering. IEEE Intell. Syst. 37 (1) (2022)
Wei Wang, Longbing Cao
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences. CoRR (2022)
Zhilin Zhao, Longbing Cao, Kun-Yu Lin
Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection. CoRR (2022)
Longbing Cao
Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning. IEEE Intell. Syst. 37 (4) (2022)
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 (2021)
Jinjin Guo, Longbing Cao, Zhiguo Gong
Recurrent Coupled Topic Modeling over Sequential Documents. CoRR (2021)
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)
Longbing Cao
AI in Finance: Challenges, Techniques and Opportunities. CoRR (2021)
Can Wang, Fosca Giannotti, Longbing Cao
Learning Complex Couplings and Interactions. IEEE Intell. Syst. 36 (1) (2021)
Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD (2021)
Longbing Cao, Qing Liu, Wenfeng Hou
COVID-19 Modeling: A Review. CoRR (2021)
Zhilin Zhao, Longbing Cao, Kun-Yu Lin
Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators. CoRR (2021)
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) (2021)
Wei Wang, Longbing Cao
VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints. ACM Trans. Inf. Syst. 39 (2) (2021)
Longbing Cao, Qiang Yang, Philip S. Yu
Data science and AI in FinTech: an overview. Int. J. Data Sci. Anal. 12 (2) (2021)
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)
Shufeng Hao, Chongyang Shi, Longbing Cao, Zhendong Niu, Ping Guo
Learning deep relevance couplings for ad-hoc document retrieval. Expert Syst. Appl. 183 (2021)
Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD (2021)
Qing Liu, Longbing Cao
Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections. CoRR (2021)
Guansong Pang, Longbing Cao, Ling Chen
Homophily Outlier Detection in Non-IID Categorical Data. CoRR (2021)
Guansong Pang, Longbing Cao, Charu Aggarwal
Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. WSDM (2021)
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) (2021)
Longbing Cao, Chengzhang Zhu
Personalized next-best action recommendation with multi-party interaction learning for automated decision-making. CoRR (2021)
Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao
Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation. AAAI (2021)
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) (2021)
Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. CIKM (2021)
Wei Wang, Longbing Cao
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback. ACM Trans. Inf. Syst. 39 (3) (2021)
Longbing Cao, Chengzhang Zhu
Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science. CoRR (2021)
Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel
Deep Learning for Anomaly Detection: A Review. ACM Comput. Surv. 54 (2) (2021)
Guansong Pang, Longbing Cao, Ling Chen
Homophily outlier detection in non-IID categorical data. Data Min. Knowl. Discov. 35 (4) (2021)
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)
Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao
Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation. EMNLP (1) (2021)
Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction. CoRR (2021)
Longbing Cao
Data Science: Nature and Pitfalls. CoRR (2020)
Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel
Deep Learning for Anomaly Detection: A Review. CoRR (2020)
Longbing Cao, Marley M. B. R. Vellasco
IEEE DSAA-The IEEE Flagship Conference in Data Science [Society Briefs]. IEEE Comput. Intell. Mag. 15 (3) (2020)
Longbing Cao
Data Science: Challenges and Directions. CoRR (2020)
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)
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 (2020)
Longbing Cao
Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting. CoRR (2020)
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) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Longbing Cao