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ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for
  Multivariate Time Series Analysis

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis

3 March 2024
Mingyue Cheng
Jiqian Yang
Tingyue Pan
Qi Liu
Zhi Li
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis"

11 / 11 papers shown
Title
TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling
TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling
He Panjing
Cheng Mingyue
Li Li
Zhang XiaoHan
AI4TS
147
0
0
11 Nov 2025
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
Yucong Luo
Yitong Zhou
Mingyue Cheng
Jiahao Wang
Daoyu Wang
Tingyue Pan
Jintao Zhang
AI4TSLRM
260
9
0
12 Jun 2025
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model
Jintao Zhang
Zirui Liu
Mingyue Cheng
Shilong Zhang
Tingyue Pan
Qi Liu
Qi Liu
Yanhu Xie
196
0
0
28 May 2025
On Multivariate Financial Time Series Classification
On Multivariate Financial Time Series Classification
Grégory Bournassenko
AI4TSAIFin
294
0
0
24 Apr 2025
Unveiling the Potential of Text in High-Dimensional Time Series Forecasting
Unveiling the Potential of Text in High-Dimensional Time Series Forecasting
Xin Zhou
Weiqing Wang
Shilin Qu
Zhiqiang Zhang
Christoph Bergmeir
AI4TS
260
4
0
13 Jan 2025
FSMLP: Modelling Channel Dependencies With Simplex Theory Based
  Multi-Layer Perceptions In Frequency Domain
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain
Zhengnan Li
Haoxuan Li
Hao Wang
Jun Fang
Duoyin Li Yunxiao Qin
AI4TS
891
0
0
02 Dec 2024
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate
  Time Series Forecasting
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
Zhiding Liu
Jiqian Yang
Qingyang Mao
Yuze Zhao
Mingyue Cheng
Zhi Li
Qi Liu
Tong Xu
AI4TS
137
0
0
30 Oct 2024
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
Daoyu Wang
Mingyue Cheng
Ziqiang Liu
Qiang Liu
AI4TSDiffM
425
1
0
08 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Efficient Source-Free Time-Series Adaptation via Parameter Subspace DisentanglementInternational Conference on Learning Representations (ICLR), 2024
Gaurav Patel
Christopher Sandino
Behrooz Mahasseni
Ellen L. Zippi
Erdrin Azemi
Ali Moin
Juri Minxha
TTAAI4TS
337
6
0
03 Oct 2024
FTMixer: Frequency and Time Domain Representations Fusion for Time
  Series Modeling
FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling
Zhengnan Li
Yunxiao Qin
Xilong Cheng
Yuting Tan
AI4TS
164
6
0
24 May 2024
Adaptive Convolutional Forecasting Network Based on Time Series
  Feature-Driven
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven
Dandan Zhang
Zhiqiang Zhang
Nanguang Chen
Yun Wang
AI4TS
291
1
0
20 May 2024
1