Junjun He
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
47
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
47 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI. | Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Shixiang Tang, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He |
| 2026 | AAAI | S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision. | Huihui Xu, Jin Ye, Hongqiu Wang, Changkai Ji, Jiashi Lin, Ming Hu, Ziyan Huang, Ying Chen, Chenglong Ma, Tianbin Li, Lihao Liu, Junjun He, Lei Zhu |
| 2026 | WACV | Multimodal Medical Image Binding via Shared Text Embeddings. | Yunhao Liu, Suyang Xi, Shiqi Liu, Hong Ding, Chicheng Jin, Chong Zhong, Junjun He, Catherine C. Liu, Yiqing Shen |
| 2025 | ACL | MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. | Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao |
| 2025 | CVPR | Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline. | Junlong Cheng, Bin Fu, Jin Ye, Guoan Wang, Tianbin Li, Haoyu Wang, Ruoyu Li, He Yao, Junren Chen, Jingwen Li, Yanzhou Su, Min Zhu, Junjun He |
| 2025 | CVPR | SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding. | Ying Chen, Guoan Wang, Yuanfeng Ji, Yanjun Li, Jin Ye, Tianbin Li, Ming Hu, Rongshan Yu, Yu Qiao, Junjun He |
| 2025 | ICCV | Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data. | Qi Chen, Xinze Zhou, Chen Liu, Hao Chen, Wenxuan Li, Zekun Jiang, Ziyan Huang, Yuxuan Zhao, Dexin Yu, Junjun He, Yefeng Zheng, Ling Shao, Alan L. Yuille, Zongwei Zhou |
| 2025 | ICCV | Fontanimate: High Quality Few-Shot Font Generation Via Animating Font Transfer Process. | Bin Fu, Zixuan Wang, Kainan Yan, Shitian Zhao, Qi Qin, Jie Wen, Junjun He, Peng Gao |
| 2025 | ICCV | OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. | Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge |
| 2025 | ICLR | Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation. | Peng Gao, Le Zhuo, Dongyang Liu, Ruoyi Du, Xu Luo, Longtian Qiu, Yuhang Zhang, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xie, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, Tong He, Jingwen He, Junjun He, Yu Qiao, Hongsheng Li |
| 2025 | MICCAI | ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator. | Wenlong Hou, Guangqian Yang, Ye Du, Yeung Lau, Lihao Liu, Junjun He, Ling Long, Shujun Wang |
| 2025 | MICCAI | HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis. | Peixiang Huang, Yanyan Huang, Weiqin Zhao, Junjun He, Lequan Yu |
| 2025 | MICCAI | Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model. | Wei Li, Ming Hu, Guoan Wang, Lihao Liu, Kaijing Zhou, Junzhi Ning, Xin Guo, Zongyuan Ge, Lixu Gu, Junjun He |
| 2025 | MICCAI | Multi-modal MRI Translation via Evidential Regression and Distribution Calibration. | Jiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao, Zhaohu Xing, Junzhi Ning, Yanzhou Su, Xiao-Yong Zhang, Junjun He, Ningsheng Xu, Xiahai Zhuang |
| 2025 | MICCAI | Towards Interpretable Counterfactual Generation via Multimodal Autoregression. | Chenglong Ma, Yuanfeng Ji, Jin Ye, Lu Zhang, Ying Chen, Tianbin Li, Mingjie Li, Junjun He, Hongming Shan |
| 2025 | MICCAI | RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions. | Junzhi Ning, Cheng Tang, Kaijing Zhou, Diping Song, Lihao Liu, Ming Hu, Wei Li, Huihui Xu, Yanzhou Su, Tianbin Li, Jiyao Liu, Jin Ye, Sheng Zhang, Yuanfeng Ji, Junjun He |
| 2025 | MICCAI | Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. | Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak |
| 2025 | MICCAI | MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. | Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Kang Dang, Jionglong Su |
| 2025 | MICCAI | MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization. | Huihui Xu, Yuanpeng Nie, Hualiang Wang, Ying Chen, Wei Li, Junzhi Ning, Lihao Liu, Hongqiu Wang, Lei Zhu, Jiyao Liu, Xiaomeng Li, Junjun He |
| 2025 | MICCAI | FPN-in-FPN: A Nested Multi-scale Aggregation Network for Polyp Segmentation. | Jin Ye, Yanzhou Su, Yicheng Wu, Junjun He, Bohan Zhuang, Zhaolin Chen, Jianfei Cai |
| 2024 | AIME | Histology Image Artifact Restoration with Lightweight Transformer Based Diffusion Model. | Chong Wang, Zhenqi He, Junjun He, Jin Ye, Yiqing Shen |
| 2024 | CVPR | Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models. | Bin Fu, Fanghua Yu, Anran Liu, Zixuan Wang, Jie Wen, Junjun He, Yu Qiao |
| 2024 | CVPR | OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. | Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo |
| 2024 | ECCV | SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images. | Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao |
| 2024 | ICML | SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. | Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao |
| 2024 | MICCAI | SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. | Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang |
| 2023 | CVPR | Neural Transformation Fields for Arbitrary-Styled Font Generation. | Bin Fu, Junjun He, Jianjun Wang, Yu Qiao |
| 2023 | ICLR | Vision Transformer Adapter for Dense Predictions. | Zhe Chen, Yuchen Duan, Wenhai Wang, Junjun He, Tong Lu, Jifeng Dai, Yu Qiao |
| 2023 | MICCAI | Artifact Restoration in Histology Images with Diffusion Probabilistic Models. | Zhenqi He, Junjun He, Jin Ye, Yiqing Shen |
| 2023 | MICCAI | Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation. | Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Tianbin Li, Junjun He |
| 2023 | MICCAI | Evaluating STU-Net for Brain Tumor Segmentation. | Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Yanzhou Su, Tianbin Li, Junlong Cheng, Jianpin Chen, Sizheng Guo, Yiqing Shen, Junjun He |
| 2023 | MICCAI | Revisiting Feature Propagation and Aggregation in Polyp Segmentation. | Yanzhou Su, Yiqing Shen, Jin Ye, Junjun He, Jian Cheng |
| 2023 | MICCAI | Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation. | Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu |
| 2022 | MICCAI | Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference. | Ziyan Huang, Haoyu Wang, Jin Ye, Jingqi Niu, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Lixu Gu, Junjun He |
| 2022 | MICCAI | Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. | Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding |
| 2022 | MICCAI | A More Design-Flexible Medical Transformer for Volumetric Image Segmentation. | Xin You, Yun Gu, Junjun He, Hui Sun, Jie Yang |
| 2021 | MICCAI | A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. | Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao |
| 2021 | MICCAI | Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. | Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao |
| 2020 | AAAI | Dynamic Sampling Network for Semantic Segmentation. | Bin Fu, Junjun He, Zhengfu Zhang, Yu Qiao |
| 2020 | ECCV | Tensor Low-Rank Reconstruction for Semantic Segmentation. | Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu |
| 2020 | ECCV | Learning to Predict Context-Adaptive Convolution for Semantic Segmentation. | Jianbo Liu, Junjun He, Yu Qiao, Jimmy S. Ren, Hongsheng Li |
| 2020 | ECCV | EfficientFCN: Holistically-Guided Decoding for Semantic Segmentation. | Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li |
| 2020 | ECCV | Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition. | Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao |
| 2020 | MICCAI | MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. | Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni |
| 2019 | CVPR | Adaptive Pyramid Context Network for Semantic Segmentation. | Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao |
| 2019 | ICCV | Dynamic Multi-Scale Filters for Semantic Segmentation. | Junjun He, Zhongying Deng, Yu Qiao |
| 2019 | IJCNN | Prostate Segmentation using 2D Bridged U-net. | Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Ed X. Wu, Xiaoying Tang |