6 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs
Zhangzhi Xiong, Minzhang Li, Haotian Yu +6
Multiple Sequence Alignments (MSAs) provide protein language models with explicit evolutionary context, but their large depth makes subsampling unavoidable under limited token budg…
Parallel Complex Diffusion for Scalable Time Series Generation
Rongyao Cai, Yuxi Wan, Kexin Zhang +4
Diffusion models learn data distributions indirectly through denoising, making the difficulty of generative modeling closely tied to the dependency structure of data. For time seri…
From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
Rongyao Cai, Ming Jin, Qingsong Wen +1
Domain shift poses a fundamental challenge in time series analysis, where models trained on source domain often fail dramatically when applied in target domain with different yet s…
Position: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin, Yifan Zhang, Wei Chen +6
Time series analysis is essential for comprehending the complexities inherent in various realworld systems and applications. Although large language models (LLMs) have recently mad…