Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. - Razvan-Gabriel Cirstea; Darius-Valer Micu; Gabriel-Marcel Muresan; Chenjuan Guo; Bin Yang 002 (CIKM, 2018)

Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. - Razvan-Gabriel Cirstea; Darius-Valer Micu; Gabriel-Marcel Muresan; Chenjuan Guo; Bin Yang 002 (CoRR, 2018)

A Road Segment Attribute Completion System. - Razvan-Gabriel Cirstea; Hilmar Gústafsson; Rasmus Riis Grønbæk Pedersen; Rolf Hakon Verder Sehested; Tamas Imre Winkler; Bin Yang 002 (MDM, 2020)

EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. - Razvan-Gabriel Cirstea; Tung Kieu; Chenjuan Guo; Bin Yang 002; Sinno Jialin Pan (ICDE, 2021)

Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002 (CoRR, 2021)

Towards Spatio- Temporal Aware Traffic Time Series Forecasting. - Razvan-Gabriel Cirstea; Bin Yang 002; Chenjuan Guo; Tung Kieu; Shirui Pan (ICDE, 2022)

Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Razvan-Gabriel Cirstea; Yan Zhao 008; Yale Song; Christian S. Jensen (ICDE, 2022)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (IJCAI, 2022)

Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. - Razvan-Gabriel Cirstea; Bin Yang 002; Chenjuan Guo; Tung Kieu; Shirui Pan (CoRR, 2022)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (CoRR, 2022)