S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images

no code implementations • 1 Apr 2024 • Renxiang Guan, Zihao Li, Chujia Song, Guo Yu, Xianju Li, Ruyi Feng

Specifically, we fused the spectral and spatial features extracted by the 1D- and 2D-encoder, and the 2D-encoder includes an attention model to automatically extract important information.

Classification Contrastive Learning +1

AdaMR: Adaptable Molecular Representation for Unified Pre-training Strategy

no code implementations • 28 Dec 2023 • Yan Ding, Hao Cheng, Ziliang Ye, Ruyi Feng, Wei Tian, Peng Xie, Juan Zhang, Zhongze Gu

We fine-tuned our proposed pre-trained model on six molecular property prediction tasks (MoleculeNet datasets) and two generative tasks (ZINC250K datasets), achieving state-of-the-art (SOTA) results on five out of eight tasks.

Attribute Molecular Property Prediction +2

Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks

no code implementations • 11 Dec 2023 • Renxiang Guan, Zihao Li, Xianju Li, Chang Tang, Ruyi Feng

In this study, contrastive multi-view subspace clustering of HSI was proposed based on graph convolutional networks.

Clustering Contrastive Learning +1

TrTr: A Versatile Pre-Trained Large Traffic Model based on Transformer for Capturing Trajectory Diversity in Vehicle Population

no code implementations • 22 Sep 2023 • Ruyi Feng, Zhibin Li, Bowen Liu, Yan Ding

In this study, we apply the Transformer architecture to traffic tasks, aiming to learn the diversity of trajectories within vehicle populations.

Diversity Time Series +1