Time-series forecasting

This page was last updated on 2026-04-20 06:57:47 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 426 55 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 ArXiv, International Conference on Learning Representations 162 58 open_in_new
visibility_off Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi 2023-02-08 ArXiv, Neural Information Processing Systems 53 55 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. 31 55 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 ArXiv, Neural Information Processing Systems 680 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 164 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 DBLP, ArXiv 583 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 DBLP, ArXiv 505 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 ArXiv, International Conference on Learning Representations 887 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 ArXiv, Neural Information Processing Systems 461 58 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 117 58 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None Advances in Neural Information Processing Systems 35, Neural Information Processing Systems 9 55 open_in_new
visibility_off Graph State-Space Models and Latent Relational Inference Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 ArXiv 9 55 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 97 58 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 TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting S. Ankireddy, N. Seleznev, Nam H. Nguyen, Yulun Wu, Senthil Kumar, Furong Huang, C. B. Bruss 2026-03-11 ArXiv 2 10
visibility_off Pre-trained multi-scale RWKV-GCN for multivariate time series forecasting Jianhua Hao, Fangai Liu, Weiwei Zhang 2026-02-23 Scientific Reports 0 5
visibility_off Irregularly Sampled Time Series Classification via Fusing Language Models and Multi‐Channel Image Representations Zichen Li, Faming Lu, Zedong Lin, Qingtian Zeng, Yunxia Bao 2026-03-24 Concurrency and Computation: Practice and Experience 0 6
visibility_off TempusBench: An Evaluation Framework for Time-Series Forecasting Denizalp Goktas, G. Riaño-Briceño, Alif Abdullah, Aryan Nair, Chenkai Shen, Beatriz de Lucio, Alexandra Magnusson, Farhan Mashrur, A. Abdulla, Shawrna Sen, Mahitha Thippireddy, G. Schwartz, Amy Greenwald 2026-04-13 ArXiv 0 7
visibility_off MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs Zhide Lei, Chenxi Liu, Hao Miao, Wanghui Qiu, Bin Yang, Chenjuan Guo 2026-03-06 ArXiv 0 41
visibility_off IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting Ayman Harkati, Moncef Garouani, Olivier Teste, Julien Aligon, Mohamed Hamlich 2026-03-25 ArXiv 0 9
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 34
visibility_off Bi-level Heterogeneous Learning for Time Series Foundation Models: A Federated Learning Approach Shengchao Chen, Guodong Long, Dikai Liu, Jing Jiang 2026-04-08 ArXiv 0 36
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 Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu 2026-03-20 ArXiv 0 14
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 T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation Dong-Choon Park, Hyunwoo Ryu, S.B. Bae, Keondo Park, Hyungjoon Kim 2026-02-24 ArXiv 1 5
visibility_off Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates Linxiao Yang, Xuejia Jiang, Gezheng Xu, Tian Zhou, Min Yang, Zhaoyang Zhu, Linyuan Geng, Zhipeng Zeng, Qiming Chen, Xinyue Gu, Rong Jin, Liang Sun 2026-03-18 ArXiv 0 11
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 WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting Shunyu Wu, Jiawei Huang, Weibin Feng, Boxing Li, Xiao Zhang, Erli Meng, Dan Li, Jian Lou, 2026-04-12 ArXiv 0 7
visibility_off AI-Driven Curriculum-Learning Transformer Framework for Multivariate Time Series Forecasting Tejas Pravinbhai Patel, Chaitanya Kulkarni, Sandeep Shivam, Chandrashekhar Medicherla, Vinay R Soni, N. Seshagiri, Isan Sahoo, Gajendra Babu Thokala 2026-02-26 2026 International Seminar on Intelligent Business and Edge-Computing Research (ISIBER) 0 3
visibility_off Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting Jiacheng Wang, Liang Fan, Baihua Li, Luyang Zhang 2026-03-25 ArXiv 0 2
visibility_off Cross-RAG: Zero-Shot Retrieval-Augmented Time Series Forecasting via Cross-Attention Seunghan Lee, Jaehoon Lee, Junyoung Seo, Sungdong Yoo, Minjae Kim, Taeheon Lim, Dongwan Kang, Hwanil Choi, Soonyoung Lee, Wonbin Ahn 2026-03-16 ArXiv 0 10
visibility_off STEP: Scientific Time-Series Encoder Pretraining via Cross-Domain Distillation Chen Zhang, Liwei Liu, Jun Tao, Xiaoyu Yang, Xuenan Xu, Kai Chen, Bowen Zhou, Wen Wu, Chao Zhang 2026-03-19 ArXiv 0 7
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 5
visibility_off GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting Yuqi Yuan, Xiong Luo, Qiaojuan Peng, Wenbing Zhao 2026-03-14 DBLP 0 9
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 Automated Model Selection for Multivariate Time Series Forecasting Xiaoxuan Fan, Jiaqi Sun, Xianjun Deng, Qiankun Zhang, Wei Xiang, Shenghao Liu, Lingzhi Yi 2026-04-12 Proceedings of the ACM Web Conference 2026 0 17
visibility_off TS-MLLM: A Multi-Modal Large Language Model-based Framework for Industrial Time-Series Big Data Analysis Haiteng Wang, Yikang Li, Yunfei Zhu, Jing Yan, Lei Ren, Laurence T. Yang 2026-03-08 ArXiv 0 6
visibility_off Thoth: Mid-Training Bridges LLMs to Time Series Understanding Jia-Chun Lin, Yuxuan Wang, Jialong Wu, Huakun Luo, Zhongyi Pei, Jianmin Wang 2026-03-01 ArXiv 0 11
visibility_off Switch-Hurdle: A MoE Encoder with AR Hurdle Decoder for Intermittent Demand Forecasting Fabian Musat, S. Cabuz 2026-02-26 ArXiv 0 1
visibility_off Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression Taehyung Kwon, Y. Choi, Yeongho Kim, Kijung Shin 2026-03-11 ArXiv 0 5
visibility_off Zero-shot forecasting of streamflow using time series foundation models: are we there yet? Alexander Y. Sun, Albert A Sun 2026-03-20 Machine Learning: Earth 0 5
visibility_off Time Series Foundation Models as Strong Baselines in Transportation Forecasting: A Large-Scale Benchmark Analysis J. Pulido, Filipe Rodrigues 2026-02-27 ArXiv 0 1
visibility_off TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection Hui He, Hezhe Qiao, Yutong Chen, Kun Yi, Guansong Pang 2026-02-22 ArXiv 0 9
visibility_off Deep Learning Network-Temporal Models For Traffic Prediction Yufeng Xin, Ethan Fan 2026-03-12 ArXiv 0 3
visibility_off Temporal Patch Shuffle (TPS): Leveraging Patch-Level Shuffling to Boost Generalization and Robustness in Time Series Forecasting Jafar Bakhshaliyev, Johannes Burchert, Niels Landwehr, Lars Schmidt-Thieme 2026-04-10 ArXiv 0 5
visibility_off Multi-resolution adaptive channel fusion transformer encoder LSTM for accurate streamflow prediction Sina Apak, Huseyin Cagan Kilinc, Adem Yurtsever, Hilal Haznedar, Furkan Ozkan 2026-02-21 Scientific Reports 0 12
visibility_off ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification P. Quinlan, Qingguo Li, Xiaodan Zhu 2026-04-09 ArXiv 0 4
visibility_off Spatiotemporal System Forecasting with Irregular Time Steps via Masked Autoencoder Kewei Zhu, Yanze Xin, Jinwei Hu, Xiaoyuan Cheng, Yiming Yang, Sibo Cheng 2026-03-01 Physica D: Nonlinear Phenomena 0 6
visibility_off FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting Boya Zhang, Shuaijie Yin, Huiwen Zhu, Xingzuo He 2026-03-10 DBLP, ArXiv 0 1
visibility_off Overcoming the Modality Gap in Context-Aided Forecasting V. Zheng, 'Etienne Marcotte, Arjun Ashok, A. Williams, Lijun Sun, Alexandre Drouin, V. Zantedeschi 2026-03-12 ArXiv 0 10
visibility_off Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks Mayuka Jayawardhana, Nihal Sharma, Kazem Meidani, B. Bruss, Tom Goldstein, Doron Bergman 2026-04-09 ArXiv 0 13
visibility_off Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains Raeid Saqur, Christoph Bergmeir, Blanka Horvath, Daniel F. Schmidt, Frank Rudzicz, Terry Lyons 2026-03-16 ArXiv 0 5
visibility_off Shift-Resilient Diffusive Imputation for Variable Subset Forecasting Haihua Xu, Qi Hao, He Zhang, Jianpeng Zhao, Ziyue Qiao, Lu Jiang, Pengfei Wang, Yingjie Zhou, Pengyang Wang 2026-04-12 Proceedings of the ACM Web Conference 2026 0 7
visibility_off Bridging the High-Frequency Data Gap: A Millisecond-Resolution Network Dataset for Advancing Time Series Foundation Models Subina Khanal, Seshu Tirupathi, Merim Dzaferagic, Marco Ruffini, T. Pedersen 2026-03-17 ArXiv 0 16
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index