Jinghan Sun
9 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌈 Renaissance Researcher (5)
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Deep Learning
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Domain-Specific
(1)
Keywords
multimodal learning
(3)
brain tumor segmentation
(2)
contrastive learning
(1)
transfer learning
(1)
self-supervised learning
(1)
medical imaging
(1)
preference optimization
(1)
sarcasm detection
(1)
resource allocation
(1)
magnetic resonance imaging
(1)
multimodal representation learning
(1)
personalized model
(1)
vision-language model
(1)
masked autoencoder
(1)
missing modality
(1)
performance isolation
(1)
storage virtualization
(1)
intent recognition
(1)
explainable artificial intelligence
(1)
class activation map
(1)
Papers
S³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection
AAAI 2026
A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers
EMNLP 2025
Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models
MICCAI 2025
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
AAAI 2024
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
MICCAI 2024
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
MICCAI 2024
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
AAAI 2023
BlockFlex: Enabling Storage Harvesting with Software-Defined Flash in Modern Cloud Platforms
OSDI 2022
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning
AAAI 2022