ML Anthology

Qiu, Xiangfei

6 publications

ICLR 2026 ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu
ICLR 2026 GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang
ICML 2025 $K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo
ICLR 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang
NeurIPS 2025 DBLoss: Decomposition-Based Loss Function for Time Series Forecasting Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang
NeurIPS 2025 Enhancing Time Series Forecasting Through Selective Representation Spaces: A Patch Perspective Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang