Time-series forecasting

This page was last updated on 2026-03-09 06:31:08 UTC

Manually curated articles on Time-series forecasting

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations
visibility_off A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, C. Alippi, G. I. Webb, Irwin King, Shirui Pan 2023-07-07 IEEE Transactions on Pattern Analysis and Machine Intelligence 399 54 open_in_new
visibility_off Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang, M. Zeman, Theodoros Tsiligkaridis, M. Zitnik 2021-10-11 International Conference on Learning Representations, ArXiv 154 59 open_in_new
visibility_off Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi 2023-02-08 Neural Information Processing Systems, ArXiv 50 54 open_in_new
visibility_off Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini, Daniele Zambon, C. Alippi 2022-05-26 Journal of machine learning research, J. Mach. Learn. Res. 30 54 open_in_new
visibility_off Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson 2023-10-11 Neural Information Processing Systems, ArXiv 635 18 open_in_new
visibility_off Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe Wang, Oleksii Tsepa, Jun Ma, Bo Wang 2024-02-01 arXiv.org, ArXiv 158 7 open_in_new
visibility_off A decoder-only foundation model for time-series forecasting Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou 2023-10-14 ArXiv, DBLP 533 16 open_in_new
visibility_off Unified Training of Universal Time Series Forecasting Transformers Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo 2024-02-04 ArXiv, DBLP 463 35 open_in_new
visibility_off Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, X. Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen 2023-10-03 International Conference on Learning Representations, ArXiv 806 14 open_in_new
visibility_off Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, M. Zitnik 2022-06-17 Neural Information Processing Systems, ArXiv 439 59 open_in_new
visibility_off Domain Adaptation for Time Series Under Feature and Label Shifts Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, M. Zitnik 2023-02-06 DBLP, ArXiv 113 59 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None Neural Information Processing Systems, Advances in Neural Information Processing Systems 35 8 54 open_in_new
visibility_off Graph state-space models Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 arXiv.org, ArXiv 8 54 open_in_new
visibility_off UniTS: A Unified Multi-Task Time Series Model Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, M. Zitnik 2024-02-29 Advances in Neural Information Processing Systems 37, Neural Information Processing Systems 86 59 open_in_new
Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations

Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index
visibility_off MoHETS: Long-term Time Series Forecasting with Mixture-of-Heterogeneous-Experts Evandro S. Ortigossa, Guy Lutsker, Eran Segal 2026-01-29 ArXiv 0 5
visibility_off Multi-view graph representing interactive learning network for time series forecasting Guanshu Wang, Limin Liu, Bin Wu 2026-01-18 Journal of Big Data 0 1
visibility_off Seg-MoE: Multi-Resolution Segment-wise Mixture-of-Experts for Time Series Forecasting Transformers Evandro S. Ortigossa, Eran Segal 2026-01-29 ArXiv 0 5
visibility_off Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting Saurish Nagrath, Saroj Kumar Panigrahy 2026-01-18 ArXiv 0 12
visibility_off Enhancing few-shot time series forecasting with LLM-guided diffusion Haonan Shi, Dehua Shuai, Liming Wang, Xiyang Liu, Long Tian 2026-01-19 ArXiv 0 2
visibility_off Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis Zongjiang Shang, Dongliang Cui, Binqing Wu, Ling Chen 2026-02-04 ArXiv 1 7
visibility_off Deep TPC: Temporal-Prior Conditioning for Time Series Forecasting Filippos Bellos, N. Premkumar, Yannis Avrithis, Nam H. Nguyen, Jason J. Corso 2026-02-18 ArXiv 0 43
visibility_off Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Yong Liu, Xin Su, Shiyu Wang, Haoran Zhang, Haixuan Liu, Yuxuan Wang, Zhou Ye, Yang Xiang, Jianmin Wang, Mingsheng Long 2026-03-05 ArXiv 0 33
visibility_off Robust Long-Term Spatial–Temporal Forecasting for Dynamic Networks: The MDETST Model Wenjing Feng, Lanhao Li, Huichao Zhou, Bingshu Xie, Dawei Zhao, Yi Zhang, Feifei Wang 2026-02-13 Mathematics 0 5
visibility_off DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters Haoran Zhang, Haixuan Liu, Yong Liu, Yunzhong Qiu, Yuxuan Wang, Jianmin Wang, Mingsheng Long 2026-02-06 ArXiv 1 33
visibility_off PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data Structures Across Nodes Yiming Zhou, Mingyue Cheng, Hao Wang, Enhong Chen 2026-01-09 ArXiv 0 17
visibility_off T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation Suhan Guo, Bingxu Wang, Shaodan Zhang, Furao Shen 2026-02-02 ArXiv 0 5
visibility_off Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting Xing Fu, Yanhong Li, Georgios Papaioannou, Yoon Kim 2026-02-19 ArXiv 0 4
visibility_off ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting Qianyang Li, Xingjun Zhang, Shaoxun Wang, Jia Wei, Yueqi Xing 2026-02-02 ArXiv 0 7
visibility_off DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis Rui An, Haohao Qu, Wenqi Fan, Xuequn Shang, Qing Li 2026-01-09 ArXiv 0 12
visibility_off Time series forecasting with Hahn Kolmogorov-Arnold networks Md Zahidul, Hasan A. Ben, Hamza Nizar Bouguila 2026-01-25 ArXiv 0 0
visibility_off A Unified Shape-Aware Foundation Model for Time Series Classification Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma 2026-01-10 ArXiv 0 14
visibility_off MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies Vasilii Feofanov, Songkang Wen, Jianfeng Zhang, Lujia Pan, I. Redko 2026-02-19 ArXiv 0 16
visibility_off TiMi: Empower Time Series Transformers with Multimodal Mixture of Experts Jiafeng Lin, Yuxuan Wang, Huakun Luo, Zhongyi Pei, Jianmin Wang 2026-02-25 ArXiv 0 9
visibility_off CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting Jiyuan Xu, Wenyu Zhang, Xin Jing, Shuai Chen, Shuai Zhang, Jiahao Nie 2026-01-28 ArXiv 0 32
visibility_off Empowering Time Series Analysis with Large-Scale Multimodal Pretraining Peng Chen, Siyuan Wang, Shiyan Hu, Xingjian Wu, Yang Shu, Zhongwen Rao, Meng Wang, Yijie Li, Bin Yang, Chenjuan Guo 2026-02-05 ArXiv 0 39
visibility_off DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models Jinpeng Li, Zhongyi Pei, Huaze Xue, Bojian Zheng, Chen Wang, Jianmin Wang 2026-02-25 ArXiv 0 9
visibility_off Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval Fanpu Cao, Lu Dai, Jindong Han, Hui Xiong 2026-02-11 ArXiv 1 17
visibility_off CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting Yaguo Liu, Mingyue Cheng, Daoyu Wang, Xiaoyu Tao, Qi Liu 2026-02-03 ArXiv 0 17
visibility_off An Exploratory Study to Repurpose LLMs to a Unified Architecture for Time Series Classification Hansen He, Shuheng Li 2026-01-15 ArXiv 0 4
visibility_off SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement Xiangfei Qiu, Xvyuan Liu, Tian Shen, Xingjian Wu, Hanyin Cheng, Bin Yang, Jilin Hu 2026-01-31 ArXiv 0 22
visibility_off Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting Xiangfei Qiu, Kangjia Yan, Xvyuan Liu, Xingjian Wu, Jilin Hu 2026-01-31 ArXiv 0 22
visibility_off Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting Boyuan Li, Zhen Liu, Yicheng Luo, Qianli Ma 2026-02-25 ArXiv 0 7
visibility_off DMamba: Decomposition-enhanced Mamba for Time Series Forecasting Ruxuan Chen, Fang Sun 2026-02-09 ArXiv 0 2
visibility_off ACFormer: Mitigating Non-linearity with Auto Convolutional Encoder for Time Series Forecasting Gawon Lee, Hanbyeol Park, Minseop Kim, Dohee Kim, Hyerim Bae 2026-01-28 ArXiv 0 5
visibility_off One-Shot Price Forecasting with Covariate-Guided Experts under Privacy Constraints Renchu He, Yinliang Xu, Jinfeng Wang, Jeremy Watson, Jian Song 2026-01-17 ArXiv 0 6
visibility_off Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen, Hung Le 2026-02-02 ArXiv 0 2
visibility_off EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models Xinxing Zhou, Qingren Yao, Yiji Zhao, Chenghao Liu, Flora D. Salim, Xiaojie Yuan, Yan Wen, Ming Jin 2026-02-15 ArXiv 0 3
visibility_off Revisiting the Generic Transformer: Deconstructing a Strong Baseline for Time Series Foundation Models Yu-Wei Wen, Wesley M. Gifford, Chandra Reddy, Lam M. Nguyen, Jayant Kalagnanam, A. A. Julius 2026-02-06 ArXiv 1 8
visibility_off Collaborative Multivariate Time Series Forecasting via Variable-Tailored Inter-temporal Graph and Adaptive-Smooth Frequency Fusion Jierui Lei, Peng Peng, Haina Tang, Xudong Zhang, Fangzheng Chen, Wenjian Zhang 2026-03-01 Machine Learning 0 4
visibility_off Rethinking the Role of LLMs in Time Series Forecasting Xin Qiu, Junlong Tong, Yirong Sun, Yunpu Ma, Wei Zhang, Xiaoyu Shen 2026-02-16 ArXiv 1 5
visibility_off Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models Yunzhong Qiu, Zhiyao Cen, Zhongyi Pei, Chen Wang, Jianmin Wang 2026-02-28 ArXiv 0 9
visibility_off Be Wary of Your Time Series Preprocessing Sofiane Ennadir, Tianze Wang, Oleg Smirnov, Sahar Asadi, Lele Cao 2026-02-19 ArXiv 0 5
visibility_off vLinear: A Powerful Linear Model for Multivariate Time Series Forecasting Wenzhen Yue, Ruohao Guo, Ji Shi, Zihan Hao, Shiyu Hu, Xianghua Ying 2026-01-20 ArXiv 0 6
visibility_off A Lightweight Multi-View Approach to Short-Term Load Forecasting Julien Guit'e-Vinet, Alexandre Blondin Mass'e, 'Eric Beaudry 2026-02-09 ArXiv 0 0
visibility_off How Effective Is Mamba-Augmented Transformer for Stock Market Price Forecasting? Md. Shahria Sarker Shuvo, Awsaf Tausif Adib, Md. Estehaar Ahmed Emon, A. Rafi, Rashedur M. Rahman 2026-02-09 FinTech 0 9
visibility_off Multi-Modal Time Series Prediction via Mixture of Modulated Experts Lige Zhang, Ali Maatouk, Jialin Chen, L. Tassiulas, Rex Ying 2026-01-29 ArXiv 0 14
visibility_off Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting Haonan Yang, Jianchao Tang, Zhuo Li 2026-01-23 ArXiv 0 0
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index