Time-series forecasting

This page was last updated on 2026-03-30 06:48:08 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 409 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 International Conference on Learning Representations, ArXiv 158 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 Neural Information Processing Systems, ArXiv 52 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. 30 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 Neural Information Processing Systems, ArXiv 662 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 161 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 561 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 491 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 854 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 452 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 115 58 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 55 open_in_new
visibility_off Graph state-space models Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 arXiv.org, 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 94 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 1 9
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 3 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 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 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 Spec2LLM: A Spectral-to-Language Reprogramming Framework for Power Transformer Temperature Forecasting Franck Junior Aboya Messou, Jinhua Chen, Tong Liu, Shilong Zhang, Weiyu Wang, Tao Yu, Keping Yu 2026-02-03 2026 IEEE International Conference on Consumer Electronics (ICCE) 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 34
visibility_off T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation Suhan Guo, Bingxu Wang, Shaodan Zhang, Shen Furao 2026-02-02 ArXiv 0 8
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 8
visibility_off EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting Rajdeep Pathak, R. Goswami, Madhurima Panja, P. Ghosh, Tanujit Chakraborty 2026-03-12 ArXiv 0 9
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 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 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 41
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 19
visibility_off Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting Fan Zhang, Shiming Fan, Hua Wang 2026-01-30 ArXiv 0 11
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 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 23
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 23
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 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 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 3
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 4
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 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 4
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 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 2 6
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 A Lightweight Multi-View Approach to Short-Term Load Forecasting Julien Guit'e-Vinet, Alexandre Blondin Mass'e, Éric Beaudry 2026-02-09 ArXiv 0 1
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 An Optimization Method for Autoregressive Time Series Forecasting Zheng Li, Jerry Q. Cheng, Huanying Gu 2026-02-02 ArXiv 0 2
visibility_off Quantum-enhanced architectures for multivariate time-series forecasting S. Ranilla-Cortina, D. A. Aranda, J. Ballesteros, J. Bonilla, N. Monrio, E. Combarro 2026-02-01 The Journal of Supercomputing 0 20
visibility_off PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting Jiaming Ma, Qihe Huang, Hao Ma, Guanjun Wang, Sheng Huang, Zhen-Qiang Zhou, Pengkun Wang, Binwu Wang, Yang Wang 2026-01-31 ArXiv 2 14
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 From Empirical Analysis to Mixture‐of‐Experts Modeling: Zero‐Shot Cross‐Frequency Forecasting in Real‐Time Photovoltaic Management Issei Suemitsu, T. Kono, Ryo Wakabayashi, J. Tsunoda, Yosuke Yamaguchi, Wenpeng Wei 2026-02-01 Advanced Energy and Sustainability Research 0 5
visibility_off PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection Jinju Park, Seokho Kang 2026-02-01 ArXiv 0 1
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index