Linhai Ma

Orcid: 0000-0001-8519-864X

According to our database1, Linhai Ma authored at least 19 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction.
CoRR, April, 2026

PVminerLLM: Structured Extraction of Patient Voice from Patient-Generated Text using Large Language Models.
CoRR, March, 2026

EPPCMinerBen: A Novel Benchmark for Evaluating Large Language Models on Electronic Patient-Provider Communication via the Patient Portal.
CoRR, March, 2026

TAB-PO: Preference Optimization with a Token-Level Adaptive Barrier for Token-Critical Structured Generation.
CoRR, March, 2026

PVminer: A Domain-Specific Tool to Detect the Patient Voice in Patient Generated Data.
CoRR, February, 2026

Intrathread method orders based adaptive testing of concurrent objects.
Sci. Comput. Program., 2026

2025
Attention-Based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine From MR Images.
IEEE Trans. Medical Imaging, December, 2025

2024
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation.
CoRR, 2024

SymTC: A symbiotic Transformer-CNN net for instance segmentation of lumbar spine MRI.
Comput. Biol. Medicine, 2024

Intrathread Method Orders Based Adaptive Testing of Concurrent Objects.
Proceedings of the Theoretical Aspects of Software Engineering, 2024

2023
Increasing-Margin Adversarial (IMA) training to improve adversarial robustness of neural networks.
Comput. Methods Programs Biomed., October, 2023

Improving adversarial robustness of deep neural networks via adaptive margin evolution.
Neurocomputing, September, 2023

Towards lifting the trade-off between accuracy and adversarial robustness of deep neural networks with application on COVID 19 CT image classification and medical image segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection.
CoRR, 2022

A regularization method to improve adversarial robustness of neural networks for ECG signal classification.
Comput. Biol. Medicine, 2022

2020
An Algorithm to Attack Neural Network Encoder-based Out-Of-Distribution Sample Detector.
CoRR, 2020

Improve robustness of DNN for ECG signal classification: a noise-to-signal ratio perspective.
CoRR, 2020

Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2018
Diversity driven adaptive test generation for concurrent data structures.
Inf. Softw. Technol., 2018


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