most citedpLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protein language model and imbalanced learning

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.DC2025

High-Throughput LLM inference on Heterogeneous Clusters

Yi Xiong, Jinqi Huang, Wenjie Huang +6

Nowadays, many companies possess various types of AI accelerators, forming heterogeneous clusters. Efficiently leveraging these clusters for high-throughput large language model (L…

cs.DC2025

WindVE: Collaborative CPU-NPU Vector Embedding

Jinqi Huang, Xuebing Yu, Yi Xiong +4

Retrieval-Augmented Generation is a technology that enhances large language models by integrating information retrieval. In the industry, inference services based on LLMs are highl…

q-bio.QM2023★ 2 cited

pLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protein language model and imbalanced learning

Zebin Ma, Yonglin Zou, Xiaobin Huang +5

Functional peptides have the potential to treat a variety of diseases. Their good therapeutic efficacy and low toxicity make them ideal therapeutic agents. Artificial intelligence-…