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"

44 / 344 papers shown

Title
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST Guoqi Yu Hailun Yao Huan Zheng Ximing Xu 17 0 0 26 Sep 2023
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting Peiyuan Liu Beiliang Wu Naiqi Li Tao Dai Fengmao Lei Jigang Bao Yong Jiang Shutao Xia AI4TS 29 3 0 20 Sep 2023
MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings Yonchanok Khaokaew Hao Xue Flora D. Salim VLM AI4TS 12 1 0 15 Sep 2023
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context Haochong Xia Shuo Sun Xinrun Wang Bo An AIFin 17 2 0 14 Sep 2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation Shunyang Zhang Senzhang Wang Xianzhen Tan Ruochen Liu Jian Zhang Jianxin Wang 17 4 0 05 Sep 2023
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting Yuxiao Luo Ziyu Lyu Xin Huang AI4TS 11 3 0 25 Aug 2023
A Co-training Approach for Noisy Time Series Learning Weiqi Zhang Jianfeng Zhang Jia Li Fugee Tsung AI4TS 26 12 0 24 Aug 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting Shengsheng Lin Weiwei Lin Wentai Wu Feiyu Zhao Ruichao Mo Haotong Zhang AI4TS 18 48 0 22 Aug 2023
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection Zahra Zamanzadeh Darban Geoffrey I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 25 1 0 18 Aug 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 13 112 0 16 Aug 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer Shengsheng Lin Weiwei Lin Wentai Wu Song Wang Yongxiang Wang AI4TS 25 17 0 09 Aug 2023
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction Chengqing Yu Fei Wang Zezhi Shao Tao Sun Lin Wu Yongjun Xu AI4TS 19 74 0 07 Aug 2023
Unsupervised Representation Learning for Time Series: A Review Qianwen Meng Hangwei Qian Yong Liu Yonghui Xu Zhiqi Shen Li-zhen Cui AI4TS 25 17 0 03 Aug 2023
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach Chunwei Yang Xiaoxu Chen Lijun Sun Hongyu Yang Yuankai Wu AI4TS 17 2 0 02 Aug 2023
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG Xueming Fu Hao Zheng Luyan Liu Wenjuan Zhong Haowen Liu ... Yifeng Chen Dong Wei Mingjie Dong Yefeng Zheng Mingming Zhang 14 2 0 25 Jul 2023
Meta-Transformer: A Unified Framework for Multimodal Learning Yiyuan Zhang Kaixiong Gong Kaipeng Zhang Hongsheng Li Yu Qiao Wanli Ouyang Xiangyu Yue 11 135 0 20 Jul 2023
GBT: Two-stage transformer framework for non-stationary time series forecasting Li Shen Yuning Wei Yangzhu Wang AI4TS 11 23 0 17 Jul 2023
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting Tianlong Zhao Xiang Ma Xue-mei Li Caiming Zhang AI4TS 11 2 0 13 Jul 2023
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 14 80 0 06 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 17 12 0 04 Jul 2023
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting Patrick Emami A. Sahu Peter Graf AI4TS 20 12 0 30 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 109 97 0 16 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Yanjun Zhao Ziqing Ma Tian Zhou Liang Sun M. Ye Yi Qian AI4TS 14 19 0 14 Jun 2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting Xing Wang Zhendong Wang Kexin Yang Junlan Feng Zhi-yan Song Chao Deng Lin Zhu AI4TS 17 3 0 12 Jun 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting Donghao Luo Xue Wang BDL AI4TS 11 1 0 04 Jun 2023
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context Oussama Boussif Ghait Boukachab D. Assouline Stefano Massaroli T. Yuan L. Benabbou Yoshua Bengio 12 13 0 01 Jun 2023
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting Jiaxin Gao Wenbo Hu Yuntian Chen AI4TS 19 13 0 30 May 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 12 101 0 30 May 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 25 27 0 29 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis D. Mocanu AI4TS AI4CE 13 1 0 28 May 2023
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting Yushu Chen Shengzhuo Liu Jinzhe Yang Hao Jing Wenlai Zhao Guang-Wu Yang AI4TS 11 13 0 24 May 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Du Yin Yezhou Yang Xuan Song Ivor W. Tsang BDL AI4TS 27 15 0 22 May 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang Tian Zhou Qingsong Wen Jinyang Gao Bolin Ding Rong Jin AI4TS 10 35 0 20 May 2023
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping Zhe Li Shiyi Qi Yiduo Li Zenglin Xu AI4TS 11 100 0 18 May 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Z. Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 19 50 0 18 May 2023
CUTS+: High-dimensional Causal Discovery from Irregular Time-series Yuxiao Cheng Lianglong Li Tingxiong Xiao Zongren Li Qionghai Dai J. Suo K. He CML BDL AI4TS 10 21 0 10 May 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 14 370 0 23 Feb 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi Qi Zhang LongBing Cao Shoujin Wang Guodong Long Liang Hu Hui He ZhenDong Niu Wei Fan Hui Xiong AI4TS 55 21 0 04 Feb 2023
TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting Hyunwoo Lee Chunggi Lee H. Lim Sungahn Ko AI4TS 9 2 0 26 Oct 2022
DynaConF: Dynamic Forecasting of Non-Stationary Time Series Siqi Liu Andreas M. Lehrmann BDL AI4TS 21 2 0 17 Sep 2022
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures T. Zhang Yizhuo Zhang Wei Cao Jiang Bian Xiaohan Yi Shun Zheng Jian Li BDL AI4TS 95 145 0 04 Jul 2022
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling Liang Zeng Lei Wang Hui Niu Ruchen Zhang Ling Wang Jian Li 6 1 0 26 Jul 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 161 3,799 0 14 Dec 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016