Ziyan Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
13 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 | WWW | Knowledge-Enhanced Multimodal Fake News Detection: Semantic Visual and Priority Fusion. | Qin Zhang, Jiaying Liu, Qian Tao, Zhiwei Guo, Qiyue Zhong, Yifan Zhang, Ziyan Huang |
| 2025 | EMNLP | PathoHR: Hierarchical Reasoning for Vision-Language Models in Pathology. | Yating Huang, Ziyan Huang, Lintao Xiang, Qijun Yang, Hujun Yin |
| 2025 | EMNLP | ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding. | Jianjiang Yang, Yanshu Li, Ziyan Huang |
| 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 | MICCAI | Prior-Guided Prototype Aggregation Learning for Alzheimer's Disease Diagnosis. | Yueqin Diao, Huihui Fang, Hanyi Yu, Yuning Wang, Yaling Tao, Ziyan Huang, Si Yong Yeo, Yanwu Xu |
| 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 | MICCAI | Efficient Whole-Body Tumor Segmentation with a 5.6M Parameter 3D U-Net. | Ziyan Huang |
| 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 |
| 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 |