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Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Conference paper
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu1. Frequency-domain MLPs are More Effective Learners in Time Series Forecasting[C], 2023.
Authors:  Kun Yi;  Qi Zhang;  Wei Fan;  Shoujin Wang;  Pengyang Wang; et al.
Favorite |  | Submit date:2023/12/13
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Conference paper
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu1. FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective[C], 2023.
Authors:  Kun Yi;  Qi Zhang;  Wei Fan;  Hui He;  Liang Hu; et al.
Favorite |  | Submit date:2023/12/13
Recurrent Coupled Topic Modeling over Sequential Documents Journal article
Jinjin Guo, Longbing Cao, Zhiguo Gong. Recurrent Coupled Topic Modeling over Sequential Documents[J]. ACM Transactions on Knowledge Discovery from Data, 2022, 16(1).
Authors:  Jinjin Guo;  Longbing Cao;  Zhiguo Gong
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:4.0/3.9 | Submit date:2021/12/08
Bayesian Network  Data Augmentation  Dropout  Gibbs Sampling  Multiple Dependency  Topic Coupling  Topic Evolution  Topic Modeling  
DhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream Journal article
Guo, Jinjin, Gong, Zhiguo, Cao, Longbing. DhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream[J]. ACM Transactions on Intelligent Systems and Technology, 2021, 12(5), 57.
Authors:  Guo, Jinjin;  Gong, Zhiguo;  Cao, Longbing
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:7.2/8.5 | Submit date:2022/05/13
Bayesian Nonparametrics  Document Stream  Event Categorization  Event Discovery  Hierarchical Categorization  Kernel Estimation  Online Inference