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[943fansi]

1. TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting code https://github.com/OrigamiSL/TCCT2021-Neurocomputing-
2. Area2Area Forecasting: Looser Constraints, Better Predictions [Manuscript submitted to journal Neurocomputing] code https://github.com/OrigamiSL/A2A
3. FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting[Manuscript submitted to KBS] code https://github.com/OrigamiSL/FDNet
4. Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect code https://github.com/OrigamiSL/RTNet2022
5. GBT: Two-stage Transformer Framework for Non-stationary Time Series Forecasting[Manuscript submitted to Information Sciences] code https://github.com/OrigamiSL/GBT

[DaoSword]

5 papers added. I also found a link of FDNet from OpenReview and added it. @943fansi