1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding
Boyang Li, Yulin Wu, Sizhe Xu +5
Rotary Position Embedding (RoPE) is widely adopted in Transformer models, yet its extension to high-dimensional domains lacks a unified theoretical formulation. Most existing appro…
cs.LG2025
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
Renzhao Liang, Sizhe Xu, Chenggang Xie +4
Time series forecasting plays a pivotal role in critical domains such as energy management and financial markets. Although deep learning-based approaches (e.g., MLP, RNN, Transform…
cs.LG2020★ 1 cited
A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients
Xiaojun Chen, Shu Yang, Li Shen +1
Training generative adversarial networks (GAN) in a distributed fashion is a promising technology since it is contributed to training GAN on a massive of data efficiently in real-w…