ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.07015
  4. Cited By
Modeling Long- and Short-Term Temporal Patterns with Deep Neural
  Networks

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

21 March 2017
Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
    BDL
    AI4TS
ArXivPDFHTML

Papers citing "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks"

50 / 594 papers shown
Title
On the Identification of Temporally Causal Representation with
  Instantaneous Dependence
On the Identification of Temporally Causal Representation with Instantaneous Dependence
Zijian Li
Yifan Shen
Kaitao Zheng
Ruichu Cai
Xiangchen Song
Biwei Huang
Zhengmao Zhu
Guan-Hong Chen
Kun Zhang
CML
29
5
0
24 May 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
60
3
0
24 May 2024
CityGPT: Towards Urban IoT Learning, Analysis and Interaction with
  Multi-Agent System
CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System
Qinghua Guan
Jinhui Ouyang
Di Wu
Weiren Yu
LLMAG
AI4CE
32
1
0
23 May 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
Shiyu Wang
Haixu Wu
X. Shi
Tengge Hu
Huakun Luo
Lintao Ma
James Y. Zhang
Jun-ping Zhou
AI4TS
76
102
0
23 May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central
  Pattern Generators
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv
Dongqi Han
Yansen Wang
Xiaoqing Zheng
Xuanjing Huang
Dongsheng Li
32
0
0
23 May 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time
  Series Forecasting
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
Qingxiang Liu
Xu Liu
Chenghao Liu
Qingsong Wen
Yuxuan Liang
AI4TS
AI4CE
48
6
0
23 May 2024
Leveraging 2D Information for Long-term Time Series Forecasting with
  Vanilla Transformers
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
Xin Cheng
Xiuying Chen
Shuqi Li
Di Luo
Xun Wang
Dongyan Zhao
Rui Yan
AI4TS
68
1
0
22 May 2024
FAITH: Frequency-domain Attention In Two Horizons for Time Series
  Forecasting
FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
Ruiqi Li
Maowei Jiang
Kai-Ming Wang
Kaiduo Feng
Quangao Liu
Yue Sun
Xiufang Zhou
AI4TS
37
1
0
22 May 2024
VCformer: Variable Correlation Transformer with Inherent Lagged
  Correlation for Multivariate Time Series Forecasting
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
Yingnan Yang
Qingling Zhu
Jianyong Chen
AI4TS
30
4
0
19 May 2024
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
Han Yu
Peikun Guo
Akane Sano
AI4TS
35
0
0
17 May 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time
  series forecasting
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting
Ziyou Guo
Yan Sun
Tieru Wu
AI4TS
38
2
0
17 May 2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time
  Series Forecasting
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
Zheng Dong
Renhe Jiang
Haotian Gao
Hangchen Liu
Jinliang Deng
Qingsong Wen
Xuan Song
AI4TS
45
11
0
17 May 2024
UniCL: A Universal Contrastive Learning Framework for Large Time Series
  Models
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models
Jiawei Li
Jingshu Peng
Haoyang Li
Lei Chen
AI4TS
48
3
0
17 May 2024
DGCformer: Deep Graph Clustering Transformer for Multivariate Time
  Series Forecasting
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
Qinshuo Liu
Yanwen Fang
Pengtao Jiang
Guodong Li
AI4TS
21
0
0
14 May 2024
Context Neural Networks: A Scalable Multivariate Model for Time Series
  Forecasting
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
Abishek Sriramulu
Christoph Bergmeir
Slawek Smyl
AI4TS
23
0
0
12 May 2024
Predictive Modeling in the Reservoir Kernel Motif Space
Predictive Modeling in the Reservoir Kernel Motif Space
Peter Tino
Robert Simon Fong
R. Leonarduzzi
AI4TS
19
2
0
11 May 2024
DTMamba : Dual Twin Mamba for Time Series Forecasting
DTMamba : Dual Twin Mamba for Time Series Forecasting
Zexue Wu
Yifeng Gong
Aoqian Zhang
26
1
0
11 May 2024
Multi-Scale Dilated Convolution Network for Long-Term Time Series
  Forecasting
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
Feifei Li
Suhan Guo
Feng Han
Jian Zhao
Shen Furao
41
1
0
09 May 2024
Concrete Dense Network for Long-Sequence Time Series Clustering
Concrete Dense Network for Long-Sequence Time Series Clustering
Redemptor Jr Laceda Taloma
Patrizio Pisani
Danilo Comminiello
AI4TS
39
0
0
08 May 2024
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
Jiewen Deng
Renhe Jiang
Jiaqi Zhang
Xuan Song
AI4TS
30
3
0
06 May 2024
TimeMIL: Advancing Multivariate Time Series Classification via a
  Time-aware Multiple Instance Learning
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
Xiwen Chen
Peijie Qiu
Wenhui Zhu
Huayu Li
Hao Wang
Aristeidis Sotiras
Yalin Wang
Abolfazl Razi
AI4TS
37
7
0
06 May 2024
Data Augmentation Policy Search for Long-Term Forecasting
Data Augmentation Policy Search for Long-Term Forecasting
Liran Nochumsohn
Omri Azencot
AI4TS
TPM
46
3
0
01 May 2024
CVTN: Cross Variable and Temporal Integration for Time Series
  Forecasting
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
Han Zhou
Yuntian Chen
AI4TS
40
0
0
29 Apr 2024
Evaluating the effectiveness of predicting covariates in LSTM Networks
  for Time Series Forecasting
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting
Gareth Davies
AI4TS
32
1
0
29 Apr 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core
  Fusion
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Lu Han
Xu-Yang Chen
Han-Jia Ye
De-Chuan Zhan
AI4TS
38
23
0
22 Apr 2024
Variational quantization for state space models
Variational quantization for state space models
Etienne David
Jean Bellot
Sylvain Le Corff
AI4TS
BDL
33
1
0
17 Apr 2024
The impact of data set similarity and diversity on transfer learning
  success in time series forecasting
The impact of data set similarity and diversity on transfer learning success in time series forecasting
Claudia Ehrig
Benedikt Sonnleitner
Ursula Neumann
Catherine Cleophas
Germain Forestier
AI4TS
43
1
0
09 Apr 2024
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time
  Series Forecasting
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
Hengyu Ye
Jiadong Chen
Shijin Gong
Fuxin Jiang
Tieying Zhang
Jianjun Chen
Xiaofeng Gao
AI4TS
37
2
0
08 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series
  Forecasting
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
Jialin Chen
J. E. Lenssen
Aosong Feng
Weihua Hu
Matthias Fey
Leandros Tassiulas
J. Leskovec
Rex Ying
AI4TS
34
10
0
31 Mar 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series
  Forecasting Methods
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Xiangfei Qiu
Jilin Hu
Lekui Zhou
Xingjian Wu
Junyang Du
...
Chenjuan Guo
Aoying Zhou
Christian S. Jensen
Zhenli Sheng
Bin Yang
AI4TS
57
63
0
29 Mar 2024
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time
  Series Forecasting
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting
Xiaobing Yuan
Ling Chen
AI4TS
31
0
0
26 Mar 2024
An Analysis of Linear Time Series Forecasting Models
An Analysis of Linear Time Series Forecasting Models
William Toner
Luke Darlow
AI4TS
45
22
0
21 Mar 2024
Is Mamba Effective for Time Series Forecasting?
Is Mamba Effective for Time Series Forecasting?
Zihan Wang
Fanheng Kong
Shi Feng
Ming Wang
Xiaocui Yang
Han Zhao
Daling Wang
Yifei Zhang
Mamba
AI4TS
32
56
0
17 Mar 2024
MCformer: Multivariate Time Series Forecasting with Mixed-Channels
  Transformer
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
Wenyong Han
Tao Zhu
L. Chen
Huansheng Ning
Yang Luo
Yaping Wan
AI4TS
35
9
0
14 Mar 2024
Caformer: Rethinking Time Series Analysis from Causal Perspective
Caformer: Rethinking Time Series Analysis from Causal Perspective
Kexuan Zhang
Xiaobei Zou
Yang Tang
AI4TS
37
1
0
13 Mar 2024
$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM
  for Time Series Forecasting
S2\textbf{S}^2S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
Zijie Pan
Yushan Jiang
Sahil Garg
Anderson Schneider
Yuriy Nevmyvaka
Dongjin Song
AI4TS
47
6
0
09 Mar 2024
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided
  Learning Process
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Xinyao Fan
Yueying Wu
Chang Xu
Yu-Hao Huang
Weiqing Liu
Jiang Bian
DiffM
31
20
0
09 Mar 2024
Towards Controllable Time Series Generation
Towards Controllable Time Series Generation
Yifan Bao
Yihao Ang
Qiang Huang
Anthony K. H. Tung
Zhiyong Huang
DiffM
46
4
0
06 Mar 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing
  Auxiliary Time Series as Exogenous Variables
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
Jiecheng Lu
Xu Han
Yan Sun
Shihao Yang
AI4TS
29
16
0
04 Mar 2024
Enhancing Multivariate Time Series Forecasting with Mutual
  Information-driven Cross-Variable and Temporal Modeling
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling
Shiyi Qi
Liangjiang Wen
Yiduo Li
Yuanhang Yang
Zhe Li
Zhongwen Rao
Lujia Pan
Zenglin Xu
AI4TS
26
1
0
01 Mar 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
38
15
0
29 Feb 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by
  Long-Short-Term Prompting
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
Haoxin Liu
Zhiyuan Zhao
Jindong Wang
Harshavardhan Kamarthi
B. A. Prakash
AI4TS
LRM
VLM
66
24
0
25 Feb 2024
Deep Coupling Network For Multivariate Time Series Forecasting
Deep Coupling Network For Multivariate Time Series Forecasting
Kun Yi
Qi Zhang
Hui He
Kaize Shi
Liang Hu
Ning An
ZhenDong Niu
AI4TS
44
5
0
23 Feb 2024
Structural Knowledge Informed Continual Multivariate Time Series
  Forecasting
Structural Knowledge Informed Continual Multivariate Time Series Forecasting
Zijie Pan
Yushan Jiang
Dongjin Song
Sahil Garg
Kashif Rasul
Anderson Schneider
Yuriy Nevmyvaka
CLL
AI4TS
40
3
0
20 Feb 2024
Revitalizing Multivariate Time Series Forecasting: Learnable
  Decomposition with Inter-Series Dependencies and Intra-Series Variations
  Modeling
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
Guoqi Yu
Jing Zou
Xiaowei Hu
Angelica I. Aviles-Rivero
Jing Qin
Shujun Wang
AI4TS
35
13
0
20 Feb 2024
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
Zijian Li
Ruichu Cai
Zhenhui Yang
Haiqin Huang
Guan-Hong Chen
Yifan Shen
Zhengming Chen
Xiangchen Song
Kun Zhang
OOD
AI4TS
32
2
0
20 Feb 2024
ContiFormer: Continuous-Time Transformer for Irregular Time Series
  Modeling
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Yuqi Chen
Kan Ren
Yansen Wang
Yuchen Fang
Weiwei Sun
Dongsheng Li
AI4TS
68
28
0
16 Feb 2024
Can Transformers Predict Vibrations?
Can Transformers Predict Vibrations?
Fusataka Kuniyoshi
Yoshihide Sawada
27
0
0
16 Feb 2024
Parametric Augmentation for Time Series Contrastive Learning
Parametric Augmentation for Time Series Contrastive Learning
Xu Zheng
Tianchun Wang
Wei Cheng
Aitian Ma
Haifeng Chen
Mo Sha
Dongsheng Luo
AI4TS
27
13
0
16 Feb 2024
SAMformer: Unlocking the Potential of Transformers in Time Series
  Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
Romain Ilbert
Ambroise Odonnat
Vasilii Feofanov
Aladin Virmaux
Giuseppe Paolo
Themis Palpanas
I. Redko
AI4TS
49
22
0
15 Feb 2024
Previous
12345...101112
Next