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Jing Gong

2 accepted papers

2024

Training Compute-Optimal Protein Language Models

NeurIPS 2024spotlight

We explore optimally training protein language models, an area of significant interest in biological research where guidance on best practices is limited. Most models are trained with extensive compute resources until performance gains plateau, focusing primarily on increasing model sizes rather tha…

2023

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

NeurIPS 2023poster

Advances in high-throughput sequencing technology have led to significant progress in measuring gene expressions at the single-cell level. The amount of publicly available single-cell RNA-seq (scRNA-seq) data is already surpassing 50M records for humans with each record measuring 20,000 genes. This…

Cited by 28SourcePDFScholar