Peng Gang

Orcid: 0009-0007-4774-1681

According to our database1, Peng Gang authored at least 13 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Structured Intent as a Protocol-Like Communication Layer: Cross-Model Robustness, Framework Comparison, and the Weak-Model Compensation Effect.
CoRR, March, 2026

Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting.
CoRR, March, 2026

Evaluating 5W3H Structured Prompting for Intent Alignment in Human-AI Interaction.
CoRR, March, 2026

2019
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting.
CoRR, 2018

Parallel Statistical and Machine Learning Methods for Estimation of Physical Load.
CoRR, 2018

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation.
CoRR, 2018

Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer.
CoRR, 2018

Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Dimensionality reduction in deep learning for chest X-ray analysis of lung cancer.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Parallel Statistical and Machine Learning Methods for Estimation of Physical Load.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017
Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer.
CoRR, 2017


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