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A Multi-view Multi-task Learning Framework for Multi-variate Time Series
  Forecasting

A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting

2 September 2021
Jinliang Deng
Xiusi Chen
Renhe Jiang
Xuan Song
Ivor W. Tsang
    AI4TS
ArXiv (abs)PDFHTMLGithub

Papers citing "A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting"

16 / 16 papers shown
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
Haotian Gao
Zheng Dong
Jiawei Yong
Shintaro Fukushima
Kenjiro Taura
Renhe Jiang
AI4TS
196
3
0
06 Oct 2025
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
Chengqing Yu
Fei Wang
Chuanguang Yang
Zezhi Shao
Tao Sun
Tangwen Qian
Wei Wei
Zhulin An
Yongjun Xu
AI4TS
314
14
0
14 Jun 2025
Non-collective Calibrating Strategy for Time Series Forecasting
Non-collective Calibrating Strategy for Time Series ForecastingInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Bin Wang
Yongqi Han
Minbo Ma
Tianrui Li
Junbo Zhang
Feng Hong
Yanwei Yu
AI4TS
348
1
0
29 May 2025
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
Yuanshao Zhu
James Jianqiao Yu
Xiangyu Zhao
Xiao Han
Qidong Liu
Xuetao Wei
Yuxuan Liang
396
2
0
23 May 2025
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Accurate and Efficient Multivariate Time Series Forecasting via Offline ClusteringIEEE International Conference on Data Engineering (ICDE), 2025
Yiming Niu
Jinliang Deng
Lulu Zhang
Zimu Zhou
Yongxin Tong
AI4TS
445
2
0
09 May 2025
Mitigating Propensity Bias of Large Language Models for Recommender Systems
Mitigating Propensity Bias of Large Language Models for Recommender Systems
Guixian Zhang
Guan Yuan
Debo Cheng
Lin Liu
Jiuyong Li
Shichao Zhang
431
44
0
30 Sep 2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning:
  Lessons Learned
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
Du Yin
Jinliang Deng
Shuang Ao
Zechen Li
Hao Xue
Arian Prabowo
Renhe Jiang
Xuan Song
Flora Salim
AI4TS
291
1
0
18 Jun 2024
Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data
  Fusion and Deep Learning
Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning
Xiaocai Zhang
Xiuju Fu
Zhe Xiao
Haiyan Xu
Xiaoyang Wei
Jimmy Koh
Daichi Ogawa
Zheng Qin
173
7
0
15 Mar 2024
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal
  Forecasting
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal ForecastingInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Haotian Gao
Renhe Jiang
Zheng Dong
Jinliang Deng
Yuxin Ma
Xuan Song
AI4TS
505
67
0
01 Dec 2023
Large Language Model-Aware In-Context Learning for Code Generation
Large Language Model-Aware In-Context Learning for Code Generation
Jia Li
Ge Li
Chongyang Tao
Jia Li
Huangzhao Zhang
Fang Liu
Zhi Jin
239
82
0
15 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting:
  Comprehensive Benchmarking and Heterogeneity Analysis
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity AnalysisIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zezhi Shao
Fei Wang
Yongjun Xu
Wei Wei
Chengqing Yu
...
Guangyin Jin
Xin Cao
Gao Cong
Christian S. Jensen
Xueqi Cheng
AI4TS
311
216
0
09 Oct 2023
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer
  SOTA for Traffic Forecasting
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
Hangcheng Liu
Zheng Dong
Renhe Jiang
Jiewen Deng
Jinliang Deng
Quanjun Chen
Xuan Song
AI4TS
577
33
0
21 Aug 2023
Learning Gaussian Mixture Representations for Tensor Time Series
  Forecasting
Learning Gaussian Mixture Representations for Tensor Time Series ForecastingInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Jiewen Deng
Jinliang Deng
Renhe Jiang
Xuan Song
AI4TS
384
11
0
01 Jun 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and
  Scalable Time Series Forecasting
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series ForecastingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jinliang Deng
Xiusi Chen
Renhe Jiang
Du Yin
Yezhou Yang
Xuan Song
Ivor W. Tsang
BDLAI4TS
339
47
0
22 May 2023
Interpretable System Identification and Long-term Prediction on
  Time-Series Data
Interpretable System Identification and Long-term Prediction on Time-Series Data
Xiaoyin Liu
Duxin Chen
Wenjia Wei
Xia Zhu
Wenwu Yu
AI4TS
159
0
0
02 Mar 2023
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling
Renhe Jiang
Zhaonan Wang
Jiawei Yong
P. Jeph
Quanjun Chen
Yasumasa Kobayashi
Xuan Song
Toyotaro Suzumura
Shintaro Fukushima
GNNBDLAI4TS
392
7
0
12 Dec 2022
1
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