Zhongshen Li

According to our database1, Zhongshen Li authored at least 13 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides.
Bioinform., February, 2024

CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only.
J. Chem. Inf. Model., 2024

2023
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model.
Comput. Biol. Medicine, September, 2023

CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptides.
Briefings Bioinform., September, 2023

ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides.
Bioinform., March, 2023

SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning.
Briefings Bioinform., January, 2023

Intelligent Perception Solution for Construction Machinery Based on Binocular Stereo Vision.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

2022
Accelerating bioactive peptide discovery via mutual information-based meta-learning.
Briefings Bioinform., 2022

Energy Consumption Prediction of Electric Construction Machinery Based on Condition Identification.
IEEE Access, 2022

2020
SM-PI Control Strategy of Electric Motor-Pump for Pure Electric Construction Machinery.
IEEE Access, 2020

2019
Analysis of Current Predictive Control Algorithm for Permanent Magnet Synchronous Motor Based on Three-Level Inverters.
IEEE Access, 2019

2011
Research on PZT multi-channel power supply and control method.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2010
Adaptive synchronization of novel hyperchaotic Lorenz system via passive control.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010


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