MLSP-P62.2
DJ-NORM: A DECOMPOSITION-BASED JOINT NORMALIZATION FRAMEWORK FOR NON-STATIONARY TIME SERIES FORECASTING
Yuedi Chen, Runkai Chen, Yanze Wang, Tianyi Sun, Jun Sun, Peking University, China
Session:
MLSP-P62: Deep Learning Models for Time Series Forecasting Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 4
Presentation Time:
Thu, 7 May, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session MLSP-P62
MLSP-P62.1: SALM: STOCHASTIC ATTENTION WITH LEARNABLE MEMORY FOR MULTIVARIATE TIME SERIES ANOMALY DETECTION
Ziliang Yang, Baozeng Chang, Shanghai Ocean University, China; Dongmei Huang, Shanghai University of Electric Power, China; Qi He, Wei Song, Yanling Du, Shanghai Ocean University, China
MLSP-P62.2: DJ-NORM: A DECOMPOSITION-BASED JOINT NORMALIZATION FRAMEWORK FOR NON-STATIONARY TIME SERIES FORECASTING
Yuedi Chen, Runkai Chen, Yanze Wang, Tianyi Sun, Jun Sun, Peking University, China
MLSP-P62.3: DRMTST: Dual Retention-Enhanced Transformer with Multiscale and Multivariate Mixing for Time Series Forecasting
Siwei Qiang, Zhe Yu, Jun Chen, Bo Zheng, MYBank, Ant Group, China
MLSP-P62.4: LPCVAE: A CONDITIONAL VAE WITH LONG-TERM DEPENDENCY AND PROBABILISTIC TIME-FREQUENCY FUSION FOR TIME SERIES ANOMALY DETECTION
Hanchang Cheng, Weimin Mu, Fan Liu, Weilin Zhu, Can Ma, Institute of Information Engineering, Chinese Academy of Sciences, China
MLSP-P62.5: TOWARDS RELIABLE TIME SERIES FORECASTING UNDER FUTURE UNCERTAINTY: AMBIGUITY AND NOVELTY REJECTION MECHANISMS
Ninghui Feng, University of Nottingham Ningbo China, China; Songning Lai, Xin Zou, Jiayu Yang, Kunlong Feng, Fobao Zhou, Yutao Yue, The Hong Kong University of Science and Technology (Guangzhou), China; Zheng Chu, Xinan Chen, David Chieng, University of Nottingham Ningbo China, China; Hang Zhao, The Hong Kong University of Science and Technology (Guangzhou), China
MLSP-P62.6: TIMEDIFF: LEVERAGING DIFFERENTIAL DOMAIN REPRESENTATIONS FOR LONG TIME SERIES FORECASTING
Yongding Tao, Peking University/Ant Group, China; Xiaohang Zeng, Xi’an Jiaotong University, China; Qinxu Ding, Singapore University of Social Sciences, Singapore; Yihong Dong, Peking University, China; Da Peng, Xi’an Jiaotong University, China; Peng Di, Puzhuo Liu, Ant Group, China; Wei Ke, Xi’an Jiaotong University, China
MLSP-P62.7: APSFORMER: ENHANCING TRANSFORMER IN TIME SERIES FORECASTING WITH ADAPTIVE MULTI-SCALE PATCH AND SPARSE ATTENTION
Xuanchi Guo, Zhiwei Zhang, Weihao Wang, Wenjuan Han, Beijing Jiaotong University, China
MLSP-P62.8: Revisiting the Seasonal Trend Decomposition for Enhanced Time Series Forecasting
Sanjeev Panta, University of Louisiana at Lafayette, United States of America; Xu Yuan, University of Delaware, United States of America; Li Chen, Nian-Feng Tzeng, University of Louisiana at Lafayette, United States of America
MLSP-P62.9: Uncertainty-Aware Multi-Scale Feature Fusion with Transformer for Time Series Prediction
Jianhong Lin, Zongxia Xie, tianjin university, China; Yun Wang, northeastern university, China; Haoyu Xing, Feng Xiong, tianjin university, China
MLSP-P62.10: GTCL: Graph-Text Contrastive Learning meets Log Anomaly Detection
Xiao Tan, Jiaxiang Liu, Guangdong Institute of Intelligence Science and Technology, China; Yujie Wu, Hong Kong Polytechnic University, China; Mingkun Xu, Guangdong Institute of Intelligence Science and Technology, China
Contacts