ST-MLP: A Cascaded Spatio-Temporal Linear Framework with
Channel-Independence Strategy for Traffic Forecasting

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting

14 August 2023

H. Vincent Poor

Papers citing "ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting"

17 / 17 papers shown

Title
Efficient Traffic Prediction Through Spatio-Temporal Distillation Qianru Zhang Xinyi Gao Haixin Wang Siu-Ming Yiu Hongzhi Yin AI4TS 37 2 0 15 Jan 2025
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Tongtong Zhang Zhiyong Cui Bingzhang Wang Yilong Ren Haiyang Yu Pan Deng Yinhai Wang AI4TS 70 0 0 18 Dec 2024
Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs Zhaobin Mo Qingyuan Liu Baohua Yan Longxiang Zhang Xuan Di 69 1 0 25 Nov 2024
Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract) Yuchen Li Haoyi Xiong Linghe Kong Jiang Bian Shuaiqiang Wang Guihai Chen Dawei Yin 30 0 0 25 Sep 2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong Zepu Wang Yuqi Nie Tian Zhou Stefan Zohren Yuxuan Liang Peng Sun Qingsong Wen AI4TS 27 12 0 19 Aug 2024
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges Yuqi Nie Yaxuan Kong Xiaowen Dong John M. Mulvey H. Vincent Poor Qingsong Wen Stefan Zohren AIFin 45 42 0 15 Jun 2024
Daily Physical Activity Monitoring -- Adaptive Learning from Multi-source Motion Sensor Data Haoting Zhang Donglin Zhan Yunduan Lin Jinghai He Qing Zhu Z. Shen Zeyu Zheng 40 0 0 26 May 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion Lu Han Xu-Yang Chen Han-Jia Ye De-Chuan Zhan AI4TS 38 24 0 22 Apr 2024
Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline Shuhao Li Yue Cui Jingyi Xu Libin Li Lingkai Meng Weidong Yang Fan Zhang Xiaofang Zhou AI4TS 27 1 0 22 Mar 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey Keli Zhang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen AI4TS AI4CE 91 116 0 21 Mar 2024
Mixture-of-Linear-Experts for Long-term Time Series Forecasting Ronghao Ni Zinan Lin Shuaiqi Wang Giulia Fanti AI4TS 26 15 0 11 Dec 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer Shengsheng Lin Weiwei Lin Wentai Wu Song Wang Yongxiang Wang AI4TS 40 19 0 09 Aug 2023
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale Tong Nie Guoyang Qin Lijun Sun Wei Ma Yuewen Mei Jiangming Sun AI4TS 25 2 0 04 Jul 2023
CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks Zhi-Ling Dong Pawel Polak PINN 21 1 0 18 Aug 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 277 2,606 0 04 May 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 108 228 0 18 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,900 0 14 Dec 2020