Hehuan Ma
15 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π€ Dynamic Duo (15)
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Keyword Collector
(66)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(6)
Machine Learning
(6)
Learning Types Β· Deep Learning
(6)
Healthcare & Medicine
(4)
Application Areas
(3)
Learning Types Β· Machine Learning
(3)
Architectures
(2)
Clinical
(2)
Core Methods
(2)
Learning Paradigms
(2)
Research
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Keywords
graph neural network
(3)
zero-shot learning
(2)
semantic segmentation
(1)
information bottleneck
(1)
image retrieval
(1)
graph classification
(1)
knowledge distillation
(1)
distribution shift
(1)
multimodal learning
(1)
multi-label classification
(1)
unsupervised domain adaptation
(1)
instruction tuning
(1)
hierarchical representation
(1)
graph embedding
(1)
causal structure
(1)
self-supervised learning
(1)
image clustering
(1)
gene function prediction
(1)
disentangled representation
(1)
adversarial robustness
(1)
Papers
Guideline-Informed MLLM Reasoning for Pathology-Aware Postoperative Prostate CTV Segmentation
MIDL 2026
Guidelines as Environments: A World Model Approach to Rule Following
ACL 2026
Heterogeneous Aligned Fusion for Survival Classification with Missing Modalities
MIDL 2026
Hyperbolic Gramian Volumes for Multimodal Alignment
CVPR 2026
Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks
AAAI 2026
Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent
CVPR 2026
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction
AAAI 2025
HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics
MICCAI 2025
Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
MICCAI 2025
Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation
ICCV 2025
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks
ECCV 2024
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
MICCAI 2024
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures
AAAI 2022
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
ICCV 2021
Hierarchical Graph Capsule Network
AAAI 2021