IEEE

DEViT: Deformable Convolution-Based Vision Transformer for Bearing Fault Diagnosis

Abstract: Motor bearing faults can lead to significant industrial losses and accidents, making their accurate diagnosis essential for safe motor operation. In recent years, transformer-based models ...
IEEE

Heterogeneous Spatiotemporal Graph Convolution Network for Multi-Modal Wind-PV Power Collaborative Prediction

Abstract: Accurate and generalized collaborative prediction of multi-cluster renewable energy power generation is both an inevitable trend and urgent demand as the growth of multi-region ...
GitHub

CTRL-F: Pairing Convolution with Transformer for Image Classification via Multi-Level Feature Cross-Attention and Representation Learning Fusion

This is the official pytorch implementation of the CTRL-F paper. Abstract: Transformers have captured growing attention in computer vision, thanks to its large capacity and global processing ...
GitHub

ModernTCN (ICLR 2024 Spotlight)

Donghao Luo and Xue Wang. ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis. In International Conference on Learning Representations, 2024. [Our paper in OpenReview]. We ...