9 citations · 10 across the 3 of their papers we have counts for
4 papers
GeneZip: Region-Aware Compression for Long Context DNA Modeling
Jianan Zhao, Xixian Liu, Zhihao Zhan +3
Long-context DNA models are limited by token-mixing cost and by how compression allocates representational budget across the genome. Existing approaches operate close to base-pair…
Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention
Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu +1
Efficient long-context modeling remains a critical challenge for natural language processing (NLP), as the time complexity of the predominant Transformer architecture scales quadra…
GENERator: A Long-Context Generative Genomic Foundation Model
Wei Wu, Qiuyi Li, Yuanyuan Zhang +15
The rapid advancement of DNA sequencing has produced vast genomic datasets, yet interpreting and engineering genomic function remain fundamental challenges. Recent large language m…
Cell-ontology guided transcriptome foundation model
Xinyu Yuan, Zhihao Zhan, Zuobai Zhang +5
Transcriptome foundation models TFMs hold great promises of deciphering the transcriptomic language that dictate diverse cell functions by self-supervised learning on large-scale s…