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Peng Cao

20 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+6 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (26)
🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (12) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ’Ž Century Club (18)

Conferences

MICCAI (10) NIPS (2) AAAI (1) ACL (1) CVPR (1) ECCV (1) EMNLP (1) IJCAI (1) MIDL (1) MLHC (1)

Papers

Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning ACL 2026 Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation MIDL 2026 Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities MICCAI 2025 RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis MICCAI 2025 BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis MICCAI 2025 ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation MICCAI 2025 Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation MICCAI 2024 Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis MICCAI 2024 Reusing Transferable Weight Increments for Low-resource Style Generation EMNLP 2024 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective MICCAI 2024 A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement MICCAI 2024 A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images MICCAI 2024 Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation MICCAI 2024 Contactless Oxygen Monitoring with Radio Waves and Gated Transformer MLHC 2023 Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation IJCAI 2023 Rank-N-Contrast: Learning Continuous Representations for Regression NIPS 2023 Targeted Supervised Contrastive Learning for Long-Tailed Recognition CVPR 2022 UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer AAAI 2022 TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning ECCV 2020 L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise NIPS 2019