Hao Cheng

Orcid: 0000-0002-7253-2511

Affiliations:
  • Shanghai Jiao Tong University, Department of Automation, China


According to our database1, Hao Cheng authored at least 11 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multi-Focus Images Fusion for Fluorescence Imaging Based on Local Maximum Luminosity and Intensity Variance.
Sensors, August, 2024

An automatic progressive chromosome segmentation approach using deep learning with traditional image processing.
Medical Biol. Eng. Comput., January, 2024

2023
Improved Adaptive Variable Impedance Control for Contact Force Tracking.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

ALT: Breaking the Wall between Data Layout and Loop Optimizations for Deep Learning Compilation.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022
Colon tissue image segmentation with MWSI-NET.
Medical Biol. Eng. Comput., 2022

ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations.
CoRR, 2022

2020
Double Attention for Pathology Image Diagnosis Network with Visual Interpretability.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Exploration of Different Attention Mechanisms on Medical Image Segmentation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
A High Precision Laser-Based Autofocus Method Using Biased Image Plane for Microscopy.
J. Sensors, 2018

Cervical Nuclei Segmentation in Whole Slide Histopathology Images Using Convolution Neural Network.
Proceedings of the Soft Computing in Data Science - 4th International Conference, 2018

A Pathology Image Diagnosis Network with Visual Interpretability and Structured Diagnostic Report.
Proceedings of the Neural Information Processing - 25th International Conference, 2018


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