Xuanzhao Dong

According to our database1, Xuanzhao Dong authored at least 28 papers between 2024 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
Hierarchical Mesh Transformers with Topology-Guided Pretraining for Morphometric Analysis of Brain Structures.
CoRR, April, 2026

SODA: Semi On-Policy Black-Box Distillation for Large Language Models.
CoRR, April, 2026

Your Agent is More Brittle Than You Think: Uncovering Indirect Injection Vulnerabilities in Agentic LLMs.
CoRR, April, 2026

Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement.
CoRR, April, 2026

AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents.
CoRR, March, 2026

OTPrune: Distribution-Aligned Visual Token Pruning via Optimal Transport.
CoRR, February, 2026

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement.
CoRR, January, 2026

EZBlender: Efficient 3D Editing with Plan-and-ReAct Agent.
CoRR, January, 2026

EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives.
CoRR, December, 2025

Fast 2DGS: Efficient Image Representation with Deep Gaussian Prior.
CoRR, December, 2025

nnMobileNet++: Towards Efficient Hybrid Networks for Retinal Image Analysis.
CoRR, December, 2025

VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement.
CoRR, November, 2025

LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding.
CoRR, August, 2025

Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models.
CoRR, May, 2025

DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models.
CoRR, May, 2025

Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA.
CoRR, April, 2025

Enhancing 3T BOLD fMRI SNR using Unpaired 7T Data with Schrödinger Bridge Diffusion.
CoRR, April, 2025

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models.
CoRR, March, 2025

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement.
CoRR, February, 2025

CUNSB-RFIE: Context-Aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

EViT-UNET: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation.
CoRR, 2024

AMG: Avatar Motion Guided Video Generation.
CoRR, 2024

Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification.
Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification.
Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024


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