MLSP-P55: Deep Learning for Time Series Analysis III
Poster
Thu, 7 May, 14:00 - 16:00
Location: Poster Area 6
Session Type: Poster
Session Chair: Haixia Wang, Zhejiang University of Technology
Track: Machine Learning for Signal Processing [ML]
Click the to view the manuscript on IEEE Xplore Open Preview
 

MLSP-P55.1: PhaseFormer: Capturing Cross-Channel Phase and Trend Dynamics for Time Series Forecasting

yilong zhang, yongbang peng, haohao sun, haixia wang, dongdong zhao, yuanjie dang, ronghua liang, peng chen, Zhejiang university of technology, China
 

MLSP-P55.3: FAITH: ENHANCING TIME SERIES FORECASTING WITH FREQUENCY-BASED ADAPTIVE INPUT HORIZON

Runkai Chen, Yuedi Chen, Xiaopeng Guo, Yanze Wang, Tianyi Sun, Jun Sun, Peking University, China
 

MLSP-P55.4: Frequency-Aware Dynamic Graph Learning via Pseudo-Spectral Decomposition for Metro Flow Forecasting

Yanzhe Xie, Tuohang Li, Heng Wang, Yujun Ge, Li Huang, Qiang Gao, Southwestern University of Finance and Economics, China
 

MLSP-P55.5: SDGF: Fusing Static and Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting

Shaoxun Wang, Xingjun Zhang, Qianyang Li, Jiawei Cao, Zhendong Tan, Xi'an Jiaotong University, China
 

MLSP-P55.7: A JOINT SPATIAL TIME-FREQUENCY ATTENTION FOR LEAKAGE DETECTION IN WATER DISTRIBUTION NETWORKS

Juan Luo, Hunan University, China; Yuhang Yang, Hunan Zhiyuan Information Technology Co., Ltd., China; Jielong Yang, Jiangnan University, China; Xionghu Zhong, Hunan University, China
 

MLSP-P55.8: Shapley Features for Robust Signal Prediction in Tactile Internet

Mohammad Ali Vahedifar, Qi Zhang, Aarhus University, Denmark
 

MLSP-P55.9: ANOMALY-AWARE ASSOCIATION DISCREPANCY FOR TEMPORAL ANOMALY DETECTION

Feijiang Li, Xiaojian He, Jieting Wang, Xuerong Zhao, Shanxi University, China
 

MLSP-P55.10: FCR: MULTI-VIEW COMPOSITIONAL RETRIEVAL FOR TIME SERIES FORECASTING WITH LARGE LANGUAGE MODELS

Yihang Hui, Meijun Sun, Haoyu Wang, Zheng Wang, College of Intelligence and Computing, Tianjin University, Tianjin, China, China; Ning Shi, Yunbin Ma, PipeChina Institute of Science and Technology, China, China; Qinghua Hu, College of Intelligence and Computing, Tianjin University, Tianjin, China, China