TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

5 October 2022

Yong Liu

Papers citing "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis"

50 / 344 papers shown

Title
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting Qingxiang Liu Xu Liu Chenghao Liu Qingsong Wen Yuxuan Liang AI4TS AI4CE 29 6 0 23 May 2024
Attention as an RNN Leo Feng Frederick Tung Hossein Hajimirsadeghi Mohamed Osama Ahmed Yoshua Bengio Greg Mori GNN AI4TS 35 0 0 22 May 2024
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform Noam Koren Kira Radinsky AI4TS 37 2 0 22 May 2024
Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues Zhijian Xu Yuxuan Bian Jianyuan Zhong Xiangyu Wen Qiang Xu AI4TS 23 10 0 22 May 2024
FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting Ruiqi Li Maowei Jiang Kai-Ming Wang Kaiduo Feng Quangao Liu Yue Sun Xiufang Zhou AI4TS 27 1 0 22 May 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation Shunyang Zhang Senzhang Wang Hao Miao Hao Chen Changjun Fan Jian Zhang 32 2 0 21 May 2024
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven Dandan Zhang Zhiqiang Zhang Nanguang Chen Yun Wang AI4TS 34 0 0 20 May 2024
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting Yingnan Yang Qingling Zhu Jianyong Chen AI4TS 30 4 0 19 May 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals Hui Zheng Haiteng Wang Wei-Bang Jiang Zhongtao Chen Li He Pei-Yang Lin Peng-Hu Wei Guo-Guang Zhao Yun-Zhe Liu 38 1 0 19 May 2024
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection Zhijie Zhong Zhiwen Yu Xing Xi Yue Xu Jiahui Chen Kaixiang Yang AI4TS 23 0 0 18 May 2024
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis Han Yu Peikun Guo Akane Sano AI4TS 14 0 0 17 May 2024
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM) Nicolas Drapier Aladine Chetouani A. Chateigner 19 2 0 15 May 2024
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting Qinshuo Liu Yanwen Fang Pengtao Jiang Guodong Li AI4TS 11 0 0 14 May 2024
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting Feifei Li Suhan Guo Feng Han Jian Zhao Shen Furao 23 0 0 09 May 2024
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting Nannan Bian Minhong Zhu Li Chen Weiran Cai 16 0 0 06 May 2024
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning Xiwen Chen Peijie Qiu Wenhui Zhu Huayu Li Hao Wang Aristeidis Sotiras Yalin Wang Abolfazl Razi AI4TS 29 6 0 06 May 2024
Advanced Equalization in 112 Gb/s Upstream PON Using a Novel Fourier Convolution-based Network Chen Shao Elias Giacoumidis P. Matalla Jialei Li Shi Li Sebastian Randel Andre Richter Michael Faerber Tobias Kaefer 15 2 0 04 May 2024
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey Chen Shao Elias Giacoumidis Syed Moktacim Billah Shi Li Jialei Li Prashasti Sahu Andre Richter Tobias Kaefer Michael Faerber AI4TS 14 0 0 02 May 2024
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters Shengsheng Lin Weiwei Lin Wentai Wu Haojun Chen Junjie Yang 22 35 0 02 May 2024
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting Han Zhou Yuntian Chen AI4TS 27 0 0 29 Apr 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods Wenzhen Yue Xianghua Ying Ruohao Guo DongDong Chen Ji Shi Bowei Xing Yuqing Zhu Taiyan Chen AI4TS 21 2 0 27 Apr 2024
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting Aobo Liang Xingguo Jiang Y. Sun Xiaohou Shi Ke Li AI4TS Mamba 19 4 0 24 Apr 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion Lu Han Xu-Yang Chen Han-Jia Ye De-Chuan Zhan AI4TS 24 19 0 22 Apr 2024
Variational quantization for state space models Etienne David Jean Bellot Sylvain Le Corff AI4TS BDL 20 1 0 17 Apr 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series Zahra Zamanzadeh Darban Yiyuan Yang Geoffrey I. Webb Charu C. Aggarwal Qingsong Wen Shirui Pan Mahsa Salehi 47 0 0 17 Apr 2024
TSLANet: Rethinking Transformers for Time Series Representation Learning Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu Xiaoli Li AI4TS AIFin 28 5 0 12 Apr 2024
AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations Sheng Wu Jiaxing Liu Longbiao Wang Dongxiao He Xiaobao Wang Jianwu Dang 24 0 0 12 Apr 2024
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting Hengyu Ye Jiadong Chen Shijin Gong Fuxin Jiang Tieying Zhang Jianjun Chen Xiaofeng Gao AI4TS 19 2 0 08 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen J. E. Lenssen Aosong Feng Weihua Hu Matthias Fey Leandros Tassiulas J. Leskovec Rex Ying AI4TS 29 10 0 31 Mar 2024
CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT Yi Hu Jinhang Zuo Alanis Zhao Bob Iannucci Carlee Joe-Wong 21 0 0 27 Mar 2024
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis Badri N. Patro Suhas Ranganath Vinay P. Namboodiri Vijay Srinivas Agneeswaran 43 2 0 26 Mar 2024
An End-to-End Structure with Novel Position Mechanism and Improved EMD for Stock Forecasting Chufeng Li Jianyong Chen AI4TS AIFin 13 0 0 25 Mar 2024
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series Badri N. Patro Vijay Srinivas Agneeswaran Mamba 49 50 0 22 Mar 2024
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations Xinli Hao Yile Chen Chen Yang Zhihui Du Chaohong Ma Chao Wu Xiaofeng Meng 25 3 0 15 Mar 2024
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting Md. Atik Ahamed Qiang Cheng Mamba AI4TS 53 47 0 14 Mar 2024
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer Wenyong Han Tao Zhu L. Chen Huansheng Ning Yang Luo Yaping Wan AI4TS 17 0 0 14 Mar 2024
Caformer: Rethinking Time Series Analysis from Causal Perspective Kexuan Zhang Xiaobei Zou Yang Tang AI4TS 25 1 0 13 Mar 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning Peiyuan Liu Hang Guo Tao Dai Naiqi Li Jigang Bao Xudong Ren Yong Jiang Shu-Tao Xia AI4TS 49 16 0 12 Mar 2024
$$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting$ $\textbf{S}^2$ IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting Zijie Pan Yushan Jiang Sahil Garg Anderson Schneider Yuriy Nevmyvaka Dongjin Song AI4TS 36 5 0 09 Mar 2024
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition Aosong Feng Jialin Chen Juan Garza Brooklyn Berry Francisco Salazar Yifeng Gao Rex Ying Leandros Tassiulas 28 1 0 07 Mar 2024
RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting Tianfeng Wang Gaojie Cui AI4TS 34 0 0 07 Mar 2024
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting Ce Chi Xing Wang Kexin Yang Zhiyan Song Di Jin Lin Zhu Chao Deng Junlan Feng AI4TS 19 0 0 05 Mar 2024
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize? Kseniia Kuvshinova Olga Tsymboi Alina Kostromina Dmitry Simakov Elizaveta Kovtun AI4TS 19 2 0 04 Mar 2024
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution Zhen-Qiang Zhou Qihe Huang Binwu Wang Jianpeng Hou Kuo Yang Yuxuan Liang Yang Wang AI4TS 25 2 0 04 Mar 2024
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis Mingyue Cheng Jiqian Yang Tingyue Pan Qi Liu Zhi Li AI4TS 22 12 0 03 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 34 15 0 29 Feb 2024
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations Shiyi Qi Zenglin Xu Yiduo Li Liangjiang Wen Qingsong Wen Qifan Wang Yuan Qi AI4TS AI4CE 18 0 0 25 Feb 2024
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling Guoqi Yu Jing Zou Xiaowei Hu Angelica I. Aviles-Rivero Jing Qin Shujun Wang AI4TS 27 10 0 20 Feb 2024
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation Zijian Li Ruichu Cai Zhenhui Yang Haiqin Huang Guan-Hong Chen Yifan Shen Zhengming Chen Xiangchen Song Kun Zhang OOD AI4TS 16 3 0 20 Feb 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective Jiaxi Hu Yuehong Hu Wei Chen Ming Jin Shirui Pan Qingsong Wen Yuxuan Liang AI4TS 27 8 0 18 Feb 2024