Quanlin Wu

According to our database, Quanlin Wu authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection.

Jigang Fan, Quanlin Wu, Shengjie Luo, Liwei Wang

CoRR, June, 2025

A Foundational Generative Model for Breast Ultrasound Image Analysis.

Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Haotian Ye, Siyu He, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, James Zou, Qingli Zhu, Yong Wang, Liwei Wang

CoRR, January, 2025

2024

Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses.

Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, Qingli Zhu, Yong Wang, Liwei Wang

CoRR, 2024

2023

Mining Negative Temporal Contexts for False Positive Suppression in Real-Time Ultrasound Lesion Detection.

Haojun Yu, Youcheng Li, Quanlin Wu, Ziwei Zhao, Dengbo Chen, Dong Wang, Liwei Wang

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

Denoising Masked Autoencoders Help Robust Classification.

Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Denoising Masked AutoEncoders are Certifiable Robust Vision Learners.

Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He

CoRR, 2022

Guided Diffusion Model for Adversarial Purification from Random Noise.

Quanlin Wu, Hang Ye, Yuntian Gu

CoRR, 2022