5 papers
MSDformer: Multi-scale Discrete Transformer For Time Series Generation
Shibo Feng, Zhicheng Chen, Xi Xiao +4
Discrete Token Modeling (DTM), which employs vector quantization techniques, has demonstrated remarkable success in modeling non-natural language modalities, particularly in time s…
CrystalDiT: A Diffusion Transformer for Crystal Generation
Xiaohan Yi, Guikun Xu, Xi Xiao +4
We present CrystalDiT, a diffusion transformer for crystal structure generation that achieves state-of-the-art performance by challenging the trend of architectural complexity. Ins…
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Fushuo Huo, Wenchao Xu, Zhong Zhang +3
While Large Vision-Language Models (LVLMs) have rapidly advanced in recent years, the prevalent issue known as the `hallucination' problem has emerged as a significant bottleneck,…
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series
Zhicheng Chen, Xi Xiao, Ke Xu +6
Multivariate time series prediction is widely used in daily life, which poses significant challenges due to the complex correlations that exist at multi-grained levels. Unfortunate…
Variational Bayes for Federated Continual Learning
Dezhong Yao, Sanmu Li, Yutong Dai +4
Federated continual learning (FCL) has received increasing attention due to its potential in handling real-world streaming data, characterized by evolving data distributions and va…