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Zhongshen Li

Showing results (1-10 of 15) with videos related to

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Computers in Biology and Medicine|August 9, 2023
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language modelZhongshen Li, Junru Jin, Wentao Long, et al.
Journal of Chemical Information and Modeling|May 30, 2023
CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence OnlyXuetong Yang, Junru Jin, Ruheng Wang, et al.
Genomics, Proteomics & Bioinformatics|December 2, 2025
HGCPep: Hypergraph Deep Learning Identifies Cancer-associated Non-coding PeptidesWentao Long, Zhongshen Li, Junru Jin, et al.
International Journal of Biological Macromolecules|June 16, 2023
MVIL6: Accurate identification of IL-6-induced peptides using multi-view feature learningRuheng Wang, Yangfan Feng, Meili Sun, et al.
Sensors (Basel, Switzerland)|February 27, 2026
Semantic Segmentation and Effect Optimization of 3D Point Cloud Based on 2D Semantic Segmentation and Clustering for Construction Machinery Unstructured EnvironmentShengjie Fu, Qipeng Cai, Zhongshen Li, et al.
Bioinformatics (Oxford, England)|March 10, 2023
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptidesZhongshen Li, Junru Jin, Yu Wang, et al.
Bioinformatics (Oxford, England)|February 2, 2024
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptidesDing Wang, Junru Jin, Zhongshen Li, et al.
Briefings in Bioinformatics|December 9, 2021
Accelerating bioactive peptide discovery via mutual information-based meta-learningWenjia He, Yi Jiang, Junru Jin, et al.
Micromachines|May 28, 2022
Automatic Walking Method of Construction Machinery Based on Binocular Camera Environment PerceptionZhen Fang, Tianliang Lin, Zhongshen Li, et al.
Briefings in Bioinformatics|October 20, 2023
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptidesZhongshen Li, Junru Jin, Wenjia He, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Computers in Biology and Medicine|August 9, 2023
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language modelZhongshen Li, Junru Jin, Wentao Long, et al.
Journal of Chemical Information and Modeling|May 30, 2023
CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence OnlyXuetong Yang, Junru Jin, Ruheng Wang, et al.
Genomics, Proteomics & Bioinformatics|December 2, 2025
HGCPep: Hypergraph Deep Learning Identifies Cancer-associated Non-coding PeptidesWentao Long, Zhongshen Li, Junru Jin, et al.
International Journal of Biological Macromolecules|June 16, 2023
MVIL6: Accurate identification of IL-6-induced peptides using multi-view feature learningRuheng Wang, Yangfan Feng, Meili Sun, et al.
Sensors (Basel, Switzerland)|February 27, 2026
Semantic Segmentation and Effect Optimization of 3D Point Cloud Based on 2D Semantic Segmentation and Clustering for Construction Machinery Unstructured EnvironmentShengjie Fu, Qipeng Cai, Zhongshen Li, et al.
Bioinformatics (Oxford, England)|March 10, 2023
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptidesZhongshen Li, Junru Jin, Yu Wang, et al.
Bioinformatics (Oxford, England)|February 2, 2024
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptidesDing Wang, Junru Jin, Zhongshen Li, et al.
Briefings in Bioinformatics|December 9, 2021
Accelerating bioactive peptide discovery via mutual information-based meta-learningWenjia He, Yi Jiang, Junru Jin, et al.
Micromachines|May 28, 2022
Automatic Walking Method of Construction Machinery Based on Binocular Camera Environment PerceptionZhen Fang, Tianliang Lin, Zhongshen Li, et al.
Briefings in Bioinformatics|October 20, 2023
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptidesZhongshen Li, Junru Jin, Wenjia He, et al.
Pageof 2