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

Adjustable Molecular Representation for Unified Pre-training Strategy

no code implementations • 28 Dec 2023 • Yan Ding, Hao Cheng, Zeliang Ye, Ruyi Feng, Zhongze Gu

For the pre-training process, we designed a task for molecular canonicalization, which involves transforming ltiple generic molecular representations into canonical representations.

Attribute molecular representation +1

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.

Time Series Time Series Prediction