Honghao Li

According to our database1, Honghao Li authored at least 14 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Structural deep clustering network for stratification of breast cancer patients through integration of somatic mutation profiles.
Comput. Methods Programs Biomed., December, 2023

Integrating somatic mutation profiles with structural deep clustering network for metabolic stratification in pancreatic cancer: a comprehensive analysis of prognostic and genomic landscapes.
Briefings Bioinform., November, 2023

mapSR: A Deep Neural Network for Super-Resolution of Raster Map.
ISPRS Int. J. Geo Inf., June, 2023

Model and Data Integrated Transfer Learning for Unstructured Map Text Detection.
ISPRS Int. J. Geo Inf., 2023

CETN: Contrast-enhanced Through Network for CTR Prediction.
CoRR, 2023

CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence.
CoRR, 2023

FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings.
CoRR, 2023

Learning interpretable causal networks from very large datasets, application to 400, 000 medical records of breast cancer patients.
CoRR, 2023

Joint Radar and Communication Receiver Processing Based on Sparse Bayesian Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
nSIL Evaluation and Sensitivity Study of Diverse Redundant Structure.
Reliab. Eng. Syst. Saf., 2021

2020
Multi-scene citrus detection based on multi-task deep learning network.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Integrating Deformable Convolution and Pyramid Network in Cascade R-CNN for Fabric Defect Detection.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Incorporating surface polarization effects into large-scale coarse-grained Molecular Dynamics simulation.
Comput. Phys. Commun., 2019

Constraint-based Causal Structure Learning with Consistent Separating Sets.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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