Wenao Ma

Orcid: 0000-0002-9952-5266

According to our database1, Wenao Ma authored at least 21 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
Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards.
CoRR, February, 2026

VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training.
CoRR, November, 2025

KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage.
IEEE Trans. Medical Imaging, August, 2024

3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation.
Medical Image Anal., 2024

Segmentation of Tiny Intracranial Hemorrhage Via Learning-to-Rank Local Feature Enhancement.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation.
CoRR, 2023

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation.
Neural Comput. Appl., 2022

Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Rapid Model Transfer for Medical Image Segmentation Via Iterative Human-in-the-Loop Update: from Labelled Public to Unlabelled Clinical Datasets for Multi-Organ Segmentation in CT.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
IEEE Trans. Medical Imaging, 2021

Consistent Posterior Distributions Under Vessel-Mixing: A Regularization For Cross-Domain Retinal Artery/Vein Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI.
IEEE Trans. Medical Imaging, 2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
CoRR, 2020

2019
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images.
CoRR, 2019

Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Bindctnet: A Simple Binary Dct Network for Image Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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