Jinhu Li

According to our database1, Jinhu Li authored at least 11 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
An efficient cloud-based elastic RDMA protocol for HPC applications.
CCF Trans. High Perform. Comput., February, 2024

2023
Improving Automatic Singing Skill Evaluation with Timbral Features, Attention, and Singing Voice Separation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Research on the Model of Complex Network Based Key Information Extracting in Power Engineering Technical Transformation and Overhaul Project.
Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

Explainable Knowledge Reasoning on Power Grid Knowledge Graph.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Hybrid CNN-LSTM Model for Multi-industry Electricity Demand Prediction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

A Novel Approach to Analyzing Defects: Enhancing Knowledge Graph Embedding Models for Main Electrical Equipment.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Knowledge Graph-Based Approach for Main Transformer Defect Grade Analysis.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2021
Study on the Relationship Between the Imaging Characteristics of Inflammatory Infection and the Expression of Serum Cytokines in Patients with Blood Tumor.
J. Medical Imaging Health Informatics, 2021

Training Explainable Singing Quality Assessment Network with Augmented Data.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Towards Reference-Independent Rhythm Assessment of Solo Singing.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2019
Dimension Reduction Algorithm of Big Data Based on Deep Neural Network.
Proceedings of the Data Processing Techniques and Applications for Cyber-Physical Systems, 2019


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