Zongyuan Ge
45 papers · 2020–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
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Renaissance Researcher
(6)
🌍
Conference Polyglot
(12)
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(16)
👥
Mega-Team
(25)
🔬
Deep Specialist
(10)
🧬
Topic Evolution
🗃️
Keyword Collector
(158)
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Prolific Year
(11)
🚀
Conference Pioneer
🔥
Unstoppable
(6)
💎
Century Club
(43)
Conferences
MICCAI (11)
CVPR (7)
AAAI (6)
ACL (4)
ICCV (4)
NIPS (4)
ICLR (2)
MIDL (2)
COLING (1)
EACL (1)
ECCV (1)
EMNLP (1)
WACV (1)
Top co-authors
Keywords
semantic segmentation
(5)
image classification
(4)
neural architecture search
(3)
prototype learning
(3)
medical imaging
(3)
medical image segmentation
(3)
concept bottleneck model
(3)
attention mechanism
(3)
video understanding
(2)
class imbalance
(2)
weakly supervised learning
(2)
multi-label classification
(2)
zero-shot learning
(2)
data augmentation
(2)
vision transformer
(2)
contrastive learning
(2)
semi-supervised learning
(2)
graph representation learning
(2)
object detection
(2)
multimodal learning
(2)
Papers
Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses
ACL 2026
CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations
EACL 2026
MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
MICCAI 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
ICCV 2025
Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology
ICCV 2025
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
ICCV 2025
Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation
MICCAI 2025
Towards Realistic Semi-supervised Medical Image Classification
AAAI 2025
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
AAAI 2025
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
AAAI 2025
Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model
MICCAI 2025
Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models
ACL 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation
ACL 2025
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
COLING 2025
Local Masked Reconstruction for Efficient Self-Supervised Learning on High-Resolution Images
WACV 2025
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
MICCAI 2025
Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
MICCAI 2025
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
MICCAI 2025
Delving into Out-of-Distribution Detection with Medical Vision-Language Models
MICCAI 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
CVPR 2025
WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification
EMNLP 2025
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
MICCAI 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
NIPS 2024
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification
AAAI 2024
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-Tailed Multi-Label Visual Recognition
ACL 2024
Diversified and Personalized Multi-rater Medical Image Segmentation
CVPR 2024
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
CVPR 2024
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
ECCV 2024
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
ICLR 2024
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
MICCAI 2024
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
MICCAI 2024
Universal Semi-Supervised Learning for Medical Image Classification
MICCAI 2024
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
CVPR 2023
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
NIPS 2023
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment
AAAI 2023
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
MIDL 2023
MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers
MIDL 2022
Learning Network Architecture for Open-Set Recognition
AAAI 2022
Implicit Motion Handling for Video Camouflaged Object Detection
CVPR 2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
CVPR 2022
Robust early-learning: Hindering the memorization of noisy labels
ICLR 2021
Vision-Language Navigation With Random Environmental Mixup
ICCV 2021
ZSTAD: Zero-Shot Temporal Activity Detection
CVPR 2020
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement
NIPS 2020
Hierarchical Neural Architecture Search for Deep Stereo Matching
NIPS 2020