Honglin Li

Orcid: 0009-0006-8328-7132

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, China
  • Westlake University, School of Engineering, Hangzhou, China


According to our database1, Honglin Li authored at least 27 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Masked Conditional Variational Autoencoders for Chromosome Straightening.
IEEE Trans. Medical Imaging, January, 2024

Gradient-aware learning for joint biases: Label noise and class imbalance.
Neural Networks, 2024

Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis.
CoRR, 2024

ADR: Attention Diversification Regularization for Mitigating Overfitting in Multiple Instance Learning based Whole Slide Image Classification.
CoRR, 2024

Benchmarking PathCLIP for Pathology Image Analysis.
CoRR, 2024

PathUp: Patch-wise Timestep Tracking for Multi-class Large Pathology Image Synthesising Diffusion Model.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Context-Aware Text-Assisted Multimodal Framework for Cervical Cytology Cell Diagnosis and Chatting.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Unleashing the Power of Prompt-Driven Nucleus Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering.
Proceedings of the Computer Vision - ECCV 2024, 2024

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection.
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.
CoRR, 2023

Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis.
CoRR, 2023

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023

Semi-supervised Cell Recognition under Point Supervision.
CoRR, 2023

PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology.
CoRR, 2023

Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision.
CoRR, 2023

Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System.
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.
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.
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.
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.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Category Separation For Weakly Supervised Multi-Class Cell Counting.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning.
CoRR, 2021

Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


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