4 papers
Improving Multimodal Learning via Imbalanced Learning
Shicai Wei, Chunbo Luo, Yang Luo
Multimodal learning often encounters the under-optimized problem and may perform worse than unimodal learning. Existing approaches attribute this issue to imbalanced learning acros…
Boosting Multimodal Learning via Disentangled Gradient Learning
Shicai Wei, Chunbo Luo, Yang Luo
Multimodal learning often encounters the under-optimized problem and may have worse performance than unimodal learning. Existing methods attribute this problem to the imbalanced le…
AE-DENet: Enhancement for Deep Learning-based Channel Estimation in OFDM Systems
Ephrem Fola, Yang Luo, Chunbo Luo
Deep learning (DL)-based methods have demonstrated remarkable achievements in addressing orthogonal frequency division multiplexing (OFDM) channel estimation challenges. However, e…
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Fuxin Zhang, Chunbo Luo, Jialang Xu +1
Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes. Recently, the emerging deep learning (…