MLSP-P33.9

EMS-Mixer: Extreme Multi-Scale Mixing for Time Series Forecasting

Jiali Deng, South China University of Technology, China; Bolun Cai, ByteDance Ltd, China; Yuqing Chen, Ying Hao, Kunkun Liu, Zhanpeng Jin, South China University of Technology, China
Session:
MLSP-P33: Machine Learning for Time Series Modeling and Forecasting Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 41
Presentation Time:
Wed, 6 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session MLSP-P33
MLSP-P33.1: TSAD-RAG: Boosting MLLM Time Series Anomaly Detection Via Retrieval-Augmented Generation
Yu Guo, Yilin Li, Hao Tang, Chaoyi Yang, Ruixuan Zhao, Ying Qiao, Institute of Software, Chinese Academy of Sciences, Beijing, China, China
MLSP-P33.2: CUE-TS: SOFT COVARIATE PROMPTS AS A UNIVERSAL ENHANCER FOR TIME SERIES FOUNDATION MODELS
Haoxuan Xu, Haiqi Zhu, Harbin Institute of Technology, China; Yifan Chen, University of Nottingham Malaysia, Malaysia; Deqin Zheng, Bo Liu, Feng Jiang, Harbin Institute of Technology, China; Wenbing Chen, China Aviation Industry Corporation of China Chengdu Aerodynamic Research and Development Center, China
MLSP-P33.3: M3NET: MULTIVARIATE TIME SERIES CLASSIFICATION VIA MULTISCALE PATCHING AND CHANNEL MIXING
Zibo Bi, Xi’an Jiaotong University, China; Qinxu Ding, Singapore University of Social Sciences, Singapore; Jingren Chen, Xiaojun Wu, Xi’an Jiaotong University, China
MLSP-P33.4: ISTER: LINEAR TRANSFORMER FOR EFFICIENT MULTIVARIATE TIME SERIES FORECASTING
Fanpu Cao, The Hong Kong University of Science and Technology (Guangzhou), China; Shu Yang, ShenZhen University, China; Zhengjian Chen, Shenzhen Energy Group Co., Ltd., China; Ye Liu, South China University of Technology, China; Laizhong Cui, ShenZhen University, China
MLSP-P33.5: Enhancing Multivariate Time Series Forecasting from a Temporal Decoupling Perspective
Zhiyuan Deng, University of Chinese Academy of Sciences, China; Zhe Wu, Institute of Perceptual Intelligence, Pengcheng Laboratory, China; Li Su, Xiao Han, Guorong Li, University of Chinese Academy of Sciences, China
MLSP-P33.6: DTST: Dual-Transformer for Multivariate Time Series Forecasting
Siwei Qiang, Zhe Yu, Jun Chen, Bo Zheng, MYBank, Ant Group, China
MLSP-P33.7: FTIN: FREQUENCY-TIME INTEGRATION NETWORK FOR INERTIAL ODOMETRY
Shanshan Zhang, Qi Zhang, Siyue Wang, Liqin Wu, Tianshui Wen, Ziheng Zhou, Ao Peng, Xuemin Hong, Lingxiang Zheng, Yu Yang, Xiamen University, China
MLSP-P33.8: FLOWGPT: A GPT-CONDITIONED VISION-MAMBA FRAMEWORK FOR FINE-GRAINED URBAN FLOW INFERENCES
Xincheng Sun, Qianqian Ren, Yuan Guo, Zhijuan Li, Heilongjiang University, China
MLSP-P33.9: EMS-Mixer: Extreme Multi-Scale Mixing for Time Series Forecasting
Jiali Deng, South China University of Technology, China; Bolun Cai, ByteDance Ltd, China; Yuqing Chen, Ying Hao, Kunkun Liu, Zhanpeng Jin, South China University of Technology, China
MLSP-P33.10: Handling Heterogeneous Features: Modeling Continuous-Discrete Feature Interaction for Time Series Anomaly Detection via Conditional Diffusion
Anyi Zhang, Peng Xu, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China; Chai Kiat Yeo, College of Computing and Data Science, Nanyang Technological University, Singapore
MLSP-P33.11: AWGFORMER: ADAPTIVE WAVELET-GUIDED TRANSFORMER FOR MULTI-RESOLUTION TIME SERIES FORECASTING
Wei Li, Shanghai University, China
MLSP-P33.12: FreqMTA: Multi-Token Attention for Stable Frequency-Domain Long-Term Time Series Forecasting
Haoyu Ma, National Supercomputing Center in Wuxi, China; Yushu Chen, Hongkun Yu, Wenlai Zhao, Wusheng Zhang, Tsinghua University; National Supercomputing Center in Wuxi, China; Zhao Liu, National Supercomputing Center in Wuxi; Zhengzhou University of Technology, China; Guangwen Yang, Tsinghua University; National Supercomputing Center in Wuxi, China
MLSP-P33.13: GaRA: Gated Low-rank Adaptation for Fine-tuning Time-series Foundation Models
Leike An, Zhen Li, Shuai Chen, Chaoqun Rao, Linlin Zhang, Tao Tao, China Mobile Information Technology Center, China; Wei Zhu, University of Hong Kong, China; Shaozhe Liu, Peking University, China
MLSP-P33.14: VP-GNN: A UNIFIED GRAPH FRAMEWORK FOR VARIABLE-WISE AND PATCH-WISE MODELING OF IRREGULAR CLINICAL TIME SERIES
Yurong He, Southern University of Science and Technology, China; Boya Zhang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Longfei Liu, Nanjing University, China; Guosheng Cui, Dan Wu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
MLSP-P33.15: TOWARD NON-PARAMETERIZED TIME SERIES EMBEDDING FOR EFFICIENT FORECASTING: A DYNAMICAL SYSTEM PERSPECTIVE
Jiaxi Hu, The Hong Kong University of Science and Technology (Guangzhou), China; Bowen Zhang, The Chinese University of Hong Kong, Hong Kong; Xiaoliang Luo, China Mobile (Jiangxi) Virtual Reality Technology Co., Ltd., China; Ziyu Zhou, The Hong Kong University of Science and Technology (Guangzhou), China; Lvchun Wang, Wei Yu, China Mobile (Jiangxi) Virtual Reality Technology Co., Ltd., China; Qingsong Wen, Squirrel Ai, United States of America; Fugee Tsung, The Hong Kong University of Science and Technology, Hong Kong; Yuxuan Liang, The Hong Kong University of Science and Technology (Guangzhou), China
MLSP-P33.16: CP LOSS: CHANNEL-WISE PERCEPTUAL LOSS FOR TIME SERIES FORECASTING
Yaohua Zha, Chunlin Fan, Peiyuan Liu, Yong Jiang, Tsinghua University, China; Tao Dai, Shenzhen University, China; Hai Wu, Pengcheng Laboratory, China; Shu-Tao Xia, Tsinghua University, China
Contacts