NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation. - Zhaohu Xing; Lequan Yu; Liang Wan; Tong Han; Lei Zhu 003 (MICCAI (5), 2022)

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. - Zhaohu Xing; Liang Wan; Huazhu Fu; Guang Yang 006; Lei Zhu 003 (CoRR, 2023)

HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation. - Zhaohu Xing; Lei Zhu 003; Lequan Yu; Zhiheng Xing; Liang Wan (CoRR, 2023)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (CoRR, 2023)

Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation. - Junting Zhao; Zhaohu Xing; Zhihao Chen 004; Liang Wan; Tong Han; Huazhu Fu; Lei Zhu 003 (IEEE J. Biomed. Health Informatics, 2023)

Learning Diffusion Texture Priors for Image Restoration. - Tian Ye 001; Sixiang Chen; Wenhao Chai; Zhaohu Xing; Jing Qin 001; Ge Lin; Lei Zhu 003 (CVPR, 2024)

NTIRE 2024 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Zongwei Wu; Cailian Chen; Radu Timofte; Wei Dong; Han Zhou; Yuqiong Tian; Jun Chen; Xueyang Fu; Xin Lu 006; et al. (CVPR Workshops, 2024)

Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint. - Sixiang Chen; Tian Ye 001; Kai Zhang 008; Zhaohu Xing; Yunlong Lin; Lei Zhu 003 (ECCV (9), 2024)

Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network. - Hongqiu Wang; Zhaohu Xing; Weitong Wu 003; Yijun Yang; Qingqing Tang; Meixia Zhang; Yanwu Xu 001; Lei Zhu 003 (MCHM@MM, 2024)

Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning. - Yingling Lu; Yijun Yang; Zhaohu Xing; Qiong Wang 001; Lei Zhu 003 (MICCAI (6), 2024)

Cross-conditioned Diffusion Model for Medical Image to Image Translation. - Zhaohu Xing; Sicheng Yang; Sixiang Chen; Tian Ye 001; Yijun Yang; Jing Qin 001; Lei Zhu 003 (MICCAI (7), 2024)

SegMamba: Long-Range Sequential Modeling Mamba for 3D Medical Image Segmentation. - Zhaohu Xing; Tian Ye 001; Yijun Yang; Guang Liu 006; Lei Zhu 003 (MICCAI (8), 2024)

Timeline and Boundary Guided Diffusion Network for Video Shadow Detection. - Haipeng Zhou; Hongqiu Wang; Tian Ye 001; Zhaohu Xing; Jun Ma 008; Ping Li 016; Qiong Wang 001; Lei Zhu 003 (ACM Multimedia, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (NeurIPS, 2024)

Anchored Supervised Contrastive Learning for Long-Tailed Medical Image Regression. - Zhaoying Li; Zhaohu Xing; Hongying Liu; Lei Zhu 003; Liang Wan (PRCV (15), 2024)

DBD-Diff: Defocus Blur Detection Using Semantic and Texture Correlation Guided Diffusion Model. - Jialu Li; Zhaohu Xing; Ruiqiang Xiao; Fugee Tsung; Lei Zhu 003 (VRCAI, 2024)

Vivim: a Video Vision Mamba for Medical Video Object Segmentation. - Yijun Yang; Zhaohu Xing; Lei Zhu 003 (CoRR, 2024)

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. - Yunlong Lin; Tian Ye 001; Sixiang Chen; Zhenqi Fu; Yingying Wang 005; Wenhao Chai; Zhaohu Xing; Lei Zhu 003; Xinghao Ding (CoRR, 2024)

Timeline and Boundary Guided Diffusion Network for Video Shadow Detection. - Haipeng Zhou; Honqiu Wang; Tian Ye 001; Zhaohu Xing; Jun Ma 008; Ping Li 016; Qiong Wang 001; Lei Zhu 003 (CoRR, 2024)

Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data. - Shuhao Gu; Jialing Zhang; Siyuan Zhou; Kevin Yu; Zhaohu Xing; Liangdong Wang; Zhou Cao; Jintao Jia; Zhuoyi Zhang; Yixuan Wang; Zhenchong Hu; Bo-Wen Zhang; et al. (CoRR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (CoRR, 2024)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (Medical Image Anal., 2024)

Hybrid Masked Image Modeling for 3D Medical Image Segmentation. - Zhaohu Xing; Lei Zhu 003; Lequan Yu; Zhiheng Xing; Liang Wan (IEEE J. Biomed. Health Informatics, 2024)

PromptHaze: Prompting Real-world Dehazing via Depth Anything Model. - Tian Ye 001; Sixiang Chen; Haoyu Chen 003; Wenhao Chai; Jingjing Ren; Zhaohu Xing; Wenxue Li; Lei Zhu 003 (AAAI, 2025)

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. - Yunlong Lin; Tian Ye 001; Sixiang Chen; Zhenqi Fu; Yingying Wang 005; Wenhao Chai; Zhaohu Xing; Wenxue Li; Lei Zhu 003; Xinghao Ding (AAAI, 2025)

SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization. - Jianyu Lai; Sixiang Chen; Yunlong Lin; Tian Ye 001; Yun Liu 002; Song Fei; Zhaohu Xing; Hongtao Wu; Weiming Wang 002; Lei Zhu 003 (CVPR, 2025)

Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine. - Zhaohu Xing; Lihao Liu; Yijun Yang; Hongqiu Wang; Tian Ye 001; Sixiang Chen; Wenxue Li; Guang Liu 006; Lei Zhu 003 (CVPR, 2025)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)

Diff-UNet: A diffusion embedded network for robust 3D medical image segmentation. - Zhaohu Xing; Liang Wan; Huazhu Fu; Guang Yang 006; Yijun Yang; Lequan Yu; Baiying Lei; Lei Zhu 003 (Medical Image Anal., 2025)

DiffMIC-v2: Medical Image Classification via Improved Diffusion Network. - Yijun Yang; Huazhu Fu; Angelica I. Avilés-Rivero; Zhaohu Xing; Lei Zhu 003 (IEEE Trans. Medical Imaging, 2025)

PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework. - Sixiang Chen; Jianyu Lai; Jialin Gao; Tian Ye 001; Haoyu Chen 003; Hengyu Shi; Shitong Shao; Yunlong Lin; Song Fei; Zhaohu Xing; Yeying Jin; Junfeng Luo; et al. (CoRR, 2025)

HADiff: hierarchy aggregated diffusion model for pathology image segmentation. - Xuefeng Zhang; Bin Yan; Zhaohu Xing; Feng Gao; Yuandong Tao; Zhenyan Han; Weiming Wang 002; Lei Zhu 003 (Vis. Comput., 2025)

Technical Report of TeleChat2, TeleChat2.5 and T1. - Zihan Wang; Xinzhang Liu; Yitong Yao; Chao Wang; Yu Zhao; Zhihao Yang; Wenmin Deng; Kaipeng Jia; Jiaxin Peng; Yuyao Huang; Sishi Xiong; Zhuo Jiang; et al. (CoRR, 2025)