2 citations · 3 across the 4 of their papers we have counts for
8 papers
Out-of-Distribution Generalization in Time Series: A Survey
Xin Wu, Fei Teng, Xingwang Li +3
Time series frequently manifest distribution shifts, diverse latent features, and non-stationary learning dynamics, particularly in open and evolving environments. These characteri…
Variational Bayesian Personalized Ranking
Bin Liu, Xiaohong Liu, Qin Luo +7
Pairwise learning underpins implicit collaborative filtering, yet its effectiveness is often hindered by sparse supervision, noisy interactions, and popularity-driven exposure bias…
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Minbo Ma, Kai Tang, Huan Li +3
Multivariate Time Series Forecasting (MTSF) has long been a key research focus. Traditionally, these studies assume a fixed number of variables, but in real-world applications, Cyb…
A Survey of Route Recommendations: Methods, Applications, and Opportunities
Shiming Zhang, Zhipeng Luo, Li Yang +2
Nowadays, with advanced information technologies deployed citywide, large data volumes and powerful computational resources are intelligentizing modern city development. As an impo…
Continual Learning for Smart City: A Survey
Li Yang, Zhipeng Luo, Shiming Zhang +2
With the digitization of modern cities, large data volumes and powerful computational resources facilitate the rapid update of intelligent models deployed in smart cities. Continua…
Self-supervised Contrastive Learning for Implicit Collaborative Filtering
Shipeng Song, Bin Liu, Fei Teng +1
Contrastive learning-based recommendation algorithms have significantly advanced the field of self-supervised recommendation, particularly with BPR as a representative ranking pred…