Rongguang Wang

Orcid: 0000-0001-8783-9252

According to our database1, Rongguang Wang authored at least 23 papers between 2020 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
PAR<sup>2</sup>-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering.
CoRR, March, 2026

GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation.
CoRR, March, 2026

LLM NL2SQL Robustness: Surface Noise vs. Linguistic Variation in Traditional and Agentic Settings.
CoRR, March, 2026

Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards.
CoRR, March, 2026

2025
Spatially Covariant Image Registration With Text Prompts.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Unsupervised Deformable Image Registration with Structural Nonparametric Smoothing.
Proceedings of the Information Processing in Medical Imaging, 2025

2024
Slicer Networks.
CoRR, 2024

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning.
CoRR, 2024

MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Applications of generative adversarial networks in neuroimaging and clinical neuroscience.
NeuroImage, April, 2023

Spatially Covariant Image Registration with Text Prompts.
CoRR, 2023

Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience.
CoRR, 2023

DAGrid: Directed Accumulator Grid.
CoRR, 2023

DeDA: Deep Directed Accumulator.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Spatially Covariant Lesion Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.
Medical Image Anal., 2022

Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies.
CoRR, 2022

2021
Embracing the Disharmony in Heterogeneous Medical Data.
CoRR, 2021

NeRD: Neural Representation of Distribution for Medical Image Segmentation.
CoRR, 2021

Harmonization with Flow-Based Causal Inference.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Efficient Folded Attention for Medical Image Reconstruction and Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation.
CoRR, 2020


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