Zonghao Li

Orcid: 0009-0005-9081-9232

According to our database1, Zonghao Li authored at least 12 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Coordinated Optimal Control of AFS and DYC for Four-Wheel Independent Drive Electric Vehicles Based on MAS Model.
Sensors, April, 2023

MSCPDPLab: A MATLAB toolbox for transfer learning based multi-source cross-project defect prediction.
SoftwareX, February, 2023

A Lightweight Traffic Sign Recognition Model Based on Improved YOLOv5.
IEEE Access, 2023

De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit Model.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

The Influence of News Feed Advertisement on Customer Engagement.
Proceedings of the 14th International Conference on E-business, Management and Economics, 2023

Design and Optimization of Low-Dropout Voltage Regulator Using Relational Graph Neural Network and Reinforcement Learning in Open-Source SKY130 Process.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud.
CoRR, 2022

An Empirical Study on Multi-Source Cross-Project Defect Prediction Models.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Time-Domain Predictable Trajectory Planning for Autonomous Driving Based on Internet of Vehicles.
Proceedings of the Broadband Communications, Networks, and Systems, 2021

Prediction of hot spots in protein-protein interaction by Nine-Pipeline & Ensemble Learning strategy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019
A Flexible Printed Chipless RFID Tag for Concentration Measurements of Liquid Solutions.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019


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