Shichuan Zhang

6 papers · 2024–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10)

Venues

MICCAI (4) AAAI (1) ACL (1)

Top co-authors

Guotai Wang (4) Wenjun Liao (3) Shaoting Zhang (3) Yubo Zhou (1) Ping Ye (1) Honglin Li (1) Litingyu Wang (1) Zilong Zheng (1) Anji Liu (1) Jianghao Wu (1)

Research topics

Machine Learning (2) Learning Types · Machine Learning (2) Computer Vision (1) Deep Learning (1) Healthcare & Medicine (1) Reinforcement Learning (1) Analysis (1) Clinical (1) Core Methods (1) Domain-Specific (1) Learning Types · Deep Learning (1) Methods (1)

Keywords

reinforcement learning (1) supervised learning (1) multi-label classification (1) partial label learning (1) self-supervised pretraining (1) multi-scale feature (1) positive-unlabeled learning (1) document-level relation extraction (1) computational pathology (1) point-based cell detection (1) deformable point proposal (1) cell localization (1) deformable proposal (1)

Papers

Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model MICCAI 2025 OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models MICCAI 2025 ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation MICCAI 2025 TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation MICCAI 2025 Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels ACL 2024 DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection AAAI 2024