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

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint.
CoRR, May, 2025

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

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images.
CoRR, April, 2025

How Effective Can Dropout Be in Multiple Instance Learning ?
CoRR, April, 2025

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning.
CoRR, April, 2025

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation.
CoRR, March, 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

SC-VAE: Sparse coding-based variational autoencoder with learned ISTA.
Pattern Recognit., 2025

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multimodal Variational Autoencoder: A Barycentric View.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction.
CoRR, 2024

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

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation.
CoRR, 2024

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
CoRR, 2024

AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation.
CoRR, 2024

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation.
CoRR, 2024

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024

nnMobileNet: Rethinking CNN for Retinopathy Research.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023

NSOTree: Neural Survival Oblique Tree.
CoRR, 2023

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers.
CoRR, 2023

NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research.
CoRR, 2023

SC-VAE: Sparse Coding-based Variational Autoencoder.
CoRR, 2023

Beyond MobileNet: An Improved MobileNet for Retinal Diseases.
Proceedings of the Myopic Maculopathy Analysis, 2023

QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing.
Proceedings of the Information Processing in Medical Imaging, 2023

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation.
CoRR, 2022