Junjun He
- Papers
- 26
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Authored papers
26Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
arXiv 2026
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding
arXiv 2025
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
arXiv 2025
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
arXiv 2025
MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation
arXiv 2025
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
arXiv 2025
Unimedvl: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis
arXiv 2025
UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image Generation
arXiv 2025
SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines
arXiv 2025
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
arXiv 2025
Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
arXiv 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation
arXiv 2025
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning
arXiv 2025
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
arXiv 2024
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
ICCV 2025
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
CVPR 2024 1
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
arXiv 2024
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
CVPR 2025 1
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
arXiv 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
arXiv 2024
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI
arXiv 2024
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
arXiv 2024
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks
arXiv 2023
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
arXiv 2023
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification
arXiv 2023
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
attention-driven-dynamic-graph-convolutional
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