Honglin Li

According to our database, Honglin Li authored at least 18 papers between 2021 and 2024.

Collaborative distances:

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

2024

Masked Conditional Variational Autoencoders for Chromosome Straightening.

Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang

IEEE Trans. Medical Imaging, January, 2024

Benchmarking PathCLIP for Pathology Image Analysis.

Sunyi Zheng, Xiaonan Cui, Yuxuan Sun, Jingxiong Li, Honglin Li, Yunlong Zhang, Pingyi Chen, Xueping Jing, Zhaoxiang Ye, Lin Yang

CoRR, 2024

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection.

Zhongyi Shui, Sunyi Zheng, Chenglu Zhu, Shichuan Zhang, Xiaoxuan Yu, Honglin Li, Jingxiong Li, Pingyi Chen, Lin Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MI-Gen: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images.

Pingyi Chen, Honglin Li, Chenglu Zhu, Sunyi Zheng, Lin Yang

CoRR, 2023

Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis.

Honglin Li, Yunlong Zhang, Chenglu Zhu, Jiatong Cai, Sunyi Zheng, Lin Yang

CoRR, 2023

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification.

Yunlong Zhang, Honglin Li, Yuxuan Sun, Sunyi Zheng, Chenglu Zhu, Lin Yang

CoRR, 2023

Semi-supervised Cell Recognition under Point Supervision.

Zhongyi Shui, Yizhi Zhao, Sunyi Zheng, Yunlong Zhang, Honglin Li, Shichuan Zhang, Xiaoxuan Yu, Chenglu Zhu, Lin Yang

CoRR, 2023

PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology.

Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Zhongyi Shui, Xiaoxuan Yu, Yizhi Zhao, Honglin Li, Yunlong Zhang, Ruojia Zhao, Xinheng Lyu, Lin Yang

CoRR, 2023

Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision.

Zhongyi Shui, Sunyi Zheng, Xiaoxuan Yu, Shichuan Zhang, Honglin Li, Jingxiong Li, Lin Yang

CoRR, 2023

Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System.

Yuxuan Sun, Chenglu Zhu, Yunlong Zhang, Honglin Li, Pingyi Chen, Lin Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification.

Honglin Li, Chenglu Zhu, Yunlong Zhang, Yuxuan Sun, Zhongyi Shui, Wenwei Kuang, Sunyi Zheng, Lin Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis.

Shichuan Zhang, Sunyi Zheng, Zhongyi Shui, Honglin Li, Lin Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology.

Yunlong Zhang, Yuxuan Sun, Honglin Li, Sunyi Zheng, Chenglu Zhu, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Weakly Supervised Classification using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image.

Chenglu Zhu, Yuxuan Sun, Honglin Li, Can Cui, Shichuan Zhang, Jiatong Cai, Yang Ling

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images.

Shichuan Zhang, Chenglu Zhu, Honglin Li, Jiatong Cai, Lin Yang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Category Separation For Weakly Supervised Multi-Class Cell Counting.

Jiatong Cai, Chenglu Zhu, Pingyi Chen, Shichuan Zhang, Honglin Li, Yuxuan Sun, Lin Yang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Generalizing Nucleus Recognition Model in Multi-source Images via Pruning.

Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang

CoRR, 2021

Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning.

Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021