Tian Zhou

FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting

2024 · arXiv (Cornell University)

Accurate solar power forecasting is crucial to integrate photovoltaic plants into the electric grid, schedule and secure the power grid safety. This problem becomes more demanding for those newly installed solar plants which lack sufficient …

Contrastive learning with hybrid data augmentation and pseudo-label supervision for short text clustering

2026 · Intelligent Data Analysis

Contrastive learning has become a powerful paradigm for unsupervised representation learning. However, its effectiveness largely depends on carefully designed data augmentation strategies to generate meaningful positive and negative pairs. Additionally, unsupervised clustering algorithms are typically …