Publications

(2024). PathAsst: Generative Foundation AI Assistant for Pathology. In AAAI 2024.
(2024). PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology. arXiv preprint arXiv:2401.16355.
(2024). Gradient-aware learning for joint biases: Label noise and class imbalance. Neural Networks.
(2024). DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection. Proceedings of the AAAI Conference on Artificial Intelligence.
(2023). Unleashing the Power of Prompt-driven Nucleus Instance Segmentation. arXiv preprint arXiv:2311.15939.
(2023). Test-Time Training for Semantic Segmentation with Output Contrastive Loss. arXiv preprint arXiv:2311.07877.
(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). Semi-supervised Cell Recognition under Point Supervision. arXiv preprint arXiv:2306.08240.
(2023). MI-Gen: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images. arXiv preprint arXiv:2311.16480.
(2023). Long-MIL: scaling long contextual multiple instance learning for histopathology whole slide image analysis. arXiv preprint arXiv:2311.12885.