Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation. - Wenhui Zhu; Peijie Qiu; Natasha Leporé; Oana M. Dumitrascu; Yalin Wang 001 (CoRR, 2022)

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. - Mohammad Farazi; Zhangsihao Yang; Wenhui Zhu; Peijie Qiu; Yalin Wang 001 (IPMI, 2023)

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. - Wenhui Zhu; Peijie Qiu; Oana M. Dumitrascu; Jacob M. Sobczak; Mohammad Farazi; Zhangsihao Yang; Keshav Nandakumar; Yalin Wang 001 (IPMI, 2023)

Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images. - Wenhui Zhu; Peijie Qiu; Mohammad Farazi; Keshav Nandakumar; Oana M. Dumitrascu; Yalin Wang 001 (ISBI, 2023)

QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. - Peijie Qiu; Satrajit Chakrabarty; Phuc Nguyen; Soumyendu Sekhar Ghosh; Aristeidis Sotiras (MICCAI (4), 2023)

Beyond MobileNet: An Improved MobileNet for Retinal Diseases. - Wenhui Zhu; Peijie Qiu; Xiwen Chen; Huayu Li; Hao Wang 176; Natasha Leporé; Oana M. Dumitrascu; Yalin Wang 001 (MMAC@MICCAI, 2023)

SC-VAE: Sparse Coding-based Variational Autoencoder. - Pan Xiao; Peijie Qiu; Aristeidis Sotiras (CoRR, 2023)

NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research. - Wenhui Zhu; Peijie Qiu; Natasha Leporé; Oana M. Dumitrascu; Yalin Wang 001 (CoRR, 2023)

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers. - Wenhui Zhu; Peijie Qiu; Oana M. Dumitrascu; Yalin Wang 001 (CoRR, 2023)

NSOTree: Neural Survival Oblique Tree. - Xiaotong Sun; Peijie Qiu (CoRR, 2023)

SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. - Peijie Qiu; Pan Xiao; Wenhui Zhu; Yalin Wang 001; Aristeidis Sotiras (CoRR, 2023)

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection. - Hao Wang 176; Wenhui Zhu; Jiayou Qin; Xin Li; Oana M. Dumitrascu; Xiwen Chen; Peijie Qiu; Abolfazl Razi; Yalin Wang 001 (BHI, 2024)

SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks. - Xiaotong Sun; Peijie Qiu; Shengfan Zhang (CIKM, 2024)

Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters. - Xiwen Chen; Wenhui Zhu; Peijie Qiu; Abolfazl Razi (CVPR Workshops, 2024)

nnMobileNet: Rethinking CNN for Retinopathy Research. - Wenhui Zhu; Peijie Qiu; Xiwen Chen; Xin Li; Natasha Leporé; Oana M. Dumitrascu; Yalin Wang 001 (CVPR Workshops, 2024)

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. - Wenhui Zhu; Xiwen Chen; Peijie Qiu; Aristeidis Sotiras; Abolfazl Razi; Yalin Wang 001 (ECCV (38), 2024)

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. - Xiwen Chen; Peijie Qiu; Wenhui Zhu; Huayu Li; Hao Wang 176; Aristeidis Sotiras; Yalin Wang 001; Abolfazl Razi (ICML, 2024)

DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification. - Xuanzhao Dong; Yalin Wang 001; Yanxi Chen 002; Xin Li; Hao Wang 176; Peijie Qiu; Xiwen Chen; Abolfazl Razi; Yujian Xiong; Oana M. Dumitrascu; Wenhui Zhu (UWF4DR@MICCAI, 2024)

Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification. - Hao Wang 176; Wenhui Zhu; Xuanzhao Dong; Yanxi Chen 002; Xin Li; Peijie Qiu; Xiwen Chen; Vamsi Krishna Vasa; Yujian Xiong; Oana M. Dumitrascu; Abolfazl Razi; Yalin Wang 001 (UWF4DR@MICCAI, 2024)

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. - Wenhui Zhu; Xiwen Chen; Peijie Qiu; Mohammad Farazi; Aristeidis Sotiras; Abolfazl Razi; Yalin Wang 001 (MICCAI (8), 2024)

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation. - Jin Yang; Peijie Qiu; Yichi Zhang; Daniel S. Marcus; Aristeidis Sotiras (CoRR, 2024)

AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. - Peijie Qiu; Jin Yang; Sayantan Kumar; Soumyendu Sekhar Ghosh; Aristeidis Sotiras (CoRR, 2024)

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection. - Hao Wang 176; Wenhui Zhu; Jiayou Qin; Xin Li; Oana M. Dumitrascu; Xiwen Chen; Peijie Qiu; Abolfazl Razi (CoRR, 2024)

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation. - Jin Yang; Xiaobing Yu; Peijie Qiu (CoRR, 2024)

STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation. - Vamsi Krishna Vasa; Wenhui Zhu; Xiwen Chen; Peijie Qiu; Xuanzhao Dong; Yalin Wang 001 (CoRR, 2024)

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction. - Peijie Qiu; Satrajit Chakrabarty; Phuc Nguyen; Soumyendu Sekhar Ghosh; Aristeidis Sotiras (CoRR, 2024)

Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences. - Xiwen Chen; Peijie Qiu; Wenhui Zhu; Huayu Li; Hao Wang 176; Aristeidis Sotiras; Yalin Wang 001; Abolfazl Razi (AAAI, 2025)

Multimodal Variational Autoencoder: A Barycentric View. - Peijie Qiu; Wenhui Zhu; Sayantan Kumar; Xiwen Chen; Jin Yang; Xiaotong Sun; Abolfazl Razi; Yalin Wang 001; Aristeidis Sotiras (AAAI, 2025)

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning. - Xiaobing Yu; Jin Yang; Xiao Wu; Peijie Qiu; Xiaofeng Liu (CVPR Workshops, 2025)

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation. - Jin Yang; Jing Yang 054; Xiaobing Yu; Peijie Qiu; Sunil Prajapat (ICASSP, 2025)

RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples. - Xiwen Chen; Huayu Li; Peijie Qiu; Wenhui Zhu; Rahul Amin; Abolfazl Razi (WACV, 2025)

CUNSB-RFIE: Context-Aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement. - Xuanzhao Dong; Vamsi Krishna Vasa; Wenhui Zhu; Peijie Qiu; Xiwen Chen; Yi Su 004; Yujian Xiong; Zhangsihao Yang; Yanxi Chen 002; Yalin Wang 001 (WACV, 2025)

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement. - Vamsi Krishna Vasa; Peijie Qiu; Wenhui Zhu; Yujian Xiong; Oana M. Dumitrascu; Yalin Wang 001 (WACV, 2025)

SC-VAE: Sparse coding-based variational autoencoder with learned ISTA. - Pan Xiao; Peijie Qiu; Sung Min Ha; Abdalla Bani; Shuang Zhou; Aristeidis Sotiras (Pattern Recognit., 2025)

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement. - Wenhui Zhu; Xuanzhao Dong; Xin Li; Yujian Xiong; Xiwen Chen; Peijie Qiu; Vamsi Krishna Vasa; Zhangsihao Yang; Yi Su 004; Oana M. Dumitrascu; Yalin Wang 001 (CoRR, 2025)

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models. - Wenhui Zhu; Xin Li; Xiwen Chen; Peijie Qiu; Vamsi Krishna Vasa; Xuanzhao Dong; Yanxi Chen 002; Natasha Leporé; Oana M. Dumitrascu; Yi Su 004; Yalin Wang 001 (CoRR, 2025)

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation. - Xiwen Chen; Wenhui Zhu; Peijie Qiu; Hao Wang 176; Huayu Li; Haiyu Wu; Aristeidis Sotiras; Yalin Wang 001; Abolfazl Razi (CoRR, 2025)

How Effective Can Dropout Be in Multiple Instance Learning ? - Wenhui Zhu; Peijie Qiu; Xiwen Chen; Zhangsihao Yang; Aristeidis Sotiras; Abolfazl Razi; Yalin Wang 001 (CoRR, 2025)

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images. - Xin Li; Wenhui Zhu; Peijie Qiu; Oana M. Dumitrascu; Amal Youssef; Yalin Wang 001 (CoRR, 2025)

Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA. - Xuanzhao Dong; Wenhui Zhu; Hao Wang 176; Xiwen Chen; Peijie Qiu; Rui Yin; Yi Su 004; Yalin Wang 001 (CoRR, 2025)

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint. - Xiwen Chen; Wenhui Zhu; Peijie Qiu; Hao Wang 176; Huayu Li; Zihan Li; Yalin Wang 001; Aristeidis Sotiras; Abolfazl Razi (CoRR, 2025)

DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models. - Xiwen Chen; Wenhui Zhu; Peijie Qiu; Xuanzhao Dong; Hao Wang 176; Haiyu Wu; Huayu Li; Aristeidis Sotiras; Yalin Wang 001; Abolfazl Razi (CoRR, 2025)

Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models. - Wenhui Zhu; Xuanzhao Dong; Xin Li; Peijie Qiu; Xiwen Chen; Abolfazl Razi; Aris Sotiras; Yi Su 004; Yalin Wang 001 (CoRR, 2025)

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis. - Xiwen Chen; Peijie Qiu; Wenhui Zhu; Hao Wang 176; Huayu Li; Xuanzhao Dong; Xiaotong Sun; Xiaobing Yu; Yalin Wang 001; Abolfazl Razi; Aristeidis Sotiras (CoRR, 2025)

LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding. - Xuanzhao Dong; Wenhui Zhu; Xiwen Chen; Zhipeng Wang; Peijie Qiu; Shao Tang; Xin Li; Yalin Wang 001 (CoRR, 2025)