Peijie Qiu

According to our database, Peijie Qiu authored at least 45 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

CoRR, August, 2025

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis.

Xiwen Chen, Peijie Qiu, Wenhui Zhu, Hao Wang, Huayu Li, Xuanzhao Dong, Xiaotong Sun, Xiaobing Yu, Yalin Wang, Abolfazl Razi, Aristeidis Sotiras

CoRR, July, 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, Yalin Wang

CoRR, May, 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, Haiyu Wu, Huayu Li, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi

CoRR, May, 2025

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint.

Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi

CoRR, May, 2025

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

Xuanzhao Dong, Wenhui Zhu, Hao Wang, Xiwen Chen, Peijie Qiu, Rui Yin, Yi Su, Yalin Wang

CoRR, April, 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

CoRR, April, 2025

How Effective Can Dropout Be in Multiple Instance Learning ?

Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang

CoRR, April, 2025

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

Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Haiyu Wu, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi

CoRR, March, 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, Natasha Leporé, Oana M. Dumitrascu, Yi Su, Yalin Wang

CoRR, March, 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, Oana M. Dumitrascu, Yalin Wang

CoRR, February, 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

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement.

Vamsi Krishna Vasa, Peijie Qiu, Wenhui Zhu, Yujian Xiong, Oana M. Dumitrascu, Yalin Wang

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.

Xuanzhao Dong, Vamsi Krishna Vasa, Wenhui Zhu, Peijie Qiu, Xiwen Chen, Yi Su, Yujian Xiong, Zhangsihao Yang, Yanxi Chen, Yalin Wang

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.

Xiwen Chen, Huayu Li, Peijie Qiu, Wenhui Zhu, Rahul Amin, Abolfazl Razi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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

Jin Yang, Jing Yang, Xiaobing Yu, Peijie Qiu, Sunil Prajapat

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning.

Xiaobing Yu, Jin Yang, Xiao Wu, Peijie Qiu, Xiaofeng Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Multimodal Variational Autoencoder: A Barycentric View.

Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Jin Yang, Xiaotong Sun, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras

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.

Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi

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.

Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras

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

CoRR, 2024

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

Jin Yang, Xiaobing Yu, Peijie Qiu

CoRR, 2024

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

Hao Wang, Wenhui Zhu, Jiayou Qin, Xin Li, Oana M. Dumitrascu, Xiwen Chen, Peijie Qiu, Abolfazl Razi

CoRR, 2024

AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation.

Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras

CoRR, 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

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation.

Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification.

Hao Wang, Wenhui Zhu, Xuanzhao Dong, Yanxi Chen, Xin Li, Peijie Qiu, Xiwen Chen, Vamsi Krishna Vasa, Yujian Xiong, Oana M. Dumitrascu, Abolfazl Razi, Yalin Wang

Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification.

Xuanzhao Dong, Yalin Wang, Yanxi Chen, Xin Li, Hao Wang, Peijie Qiu, Xiwen Chen, Abolfazl Razi, Yujian Xiong, Oana M. Dumitrascu, Wenhui Zhu

Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning.

Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi

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.

Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

nnMobileNet: Rethinking CNN for Retinopathy Research.

Wenhui Zhu, Peijie Qiu, Xiwen Chen, Xin Li, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang

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.

Xiwen Chen, Wenhui Zhu, Peijie Qiu, Abolfazl Razi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks.

Xiaotong Sun, Peijie Qiu, Shengfan Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Hao Wang, Wenhui Zhu, Jiayou Qin, Xin Li, Oana M. Dumitrascu, Xiwen Chen, Peijie Qiu, Abolfazl Razi, Yalin Wang

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.

Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras

CoRR, 2023

NSOTree: Neural Survival Oblique Tree.

Xiaotong Sun, Peijie Qiu

CoRR, 2023

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers.

Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Yalin Wang

CoRR, 2023

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

Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang

CoRR, 2023

SC-VAE: Sparse Coding-based Variational Autoencoder.

Pan Xiao, Peijie Qiu, Aristeidis Sotiras

CoRR, 2023

Beyond MobileNet: An Improved MobileNet for Retinal Diseases.

Wenhui Zhu, Peijie Qiu, Xiwen Chen, Huayu Li, Hao Wang, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang

Proceedings of the Myopic Maculopathy Analysis, 2023

QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality.

Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

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.

Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang

Proceedings of the Information Processing in Medical Imaging, 2023

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes.

Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang

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.

Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang

CoRR, 2022