Zhaohu Xing 邢兆虎
VIP Lab, |
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I'm a second-year PhD student from HKUST-GZ, supervised by Prof. Zhu Lei and Prof. Fugee Tsung . Before that, I received the master degree from Tianjin University.
My research area is Medical Image Analysis. Serve as Reviewer for TMI, TPAMI, MedAI, JBHI, NeurIPS, ICLR, CVPR, ECCV, MICCAI.
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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, Sixiang Chen, Wenxue Li, Guang Liu, and Lei Zhu State: Accepted by CVPR2025. |
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Farther Than Mirror: Explore Pattern-Compensated Depth of Mirror with Temporal Changes for Video Mirror Detection
Zhaohu Xing, Lihao Liu, Tian Ye, Sixiang Chen, Yijun Yang, Xiaojie Xu, Guang Liu, and Lei Zhu State: Accepted by ACM MM2025 |
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SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu and Lei Zhu State: Early Accepted by MICCAI2024. (Spotlight Presentation) |
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SegMamba-V2: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu and Lei Zhu State: Accepted by IEEE Transactions on Medical Imaging (TMI) |
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Cross-conditioned Diffusion Model for medical image-to-image translation
Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Jing Qin, and Lei Zhu State: Accepted by MICCAI2024 |
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Diff-UNet: A Diffusion Embedded Network for Robust 3D Medical Image Segmentation
Zhaohu Xing, Huazhu Fu, Guang Yang, and Lei Zhu State: Accepted by Medical Image Analysis (MedIA). |
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Hybrid Masked Image Modeling for 3D Medical Image Segmentation
Zhaohu Xing, Liang Wan, Lequan Yu, and Lei Zhu State: Accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 2024. |
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NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
Zhaohu Xing, Lequan Yu, Liang Wan, and Lei Zhu State: Accepted by MICCAI2022. |
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Temporal Prompt Learning with Depth Memory for Video Mirror Detection
Zhaohu Xing, Tian Ye, Sixiang Chen, and Lei Zhu State: Accepted by IEEE TMM. |
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Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network
Hongqiu Wang, Zhaohu Xing*, Weitong Wu, Yijun Yang, Qingqing Tang, Yanwu Xu, and Lei Zhu State: Accepted by ACM MM Workshop (2024). |
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Cascaded Inner-Outer Clip Retformer for Ultrasound Video Object Segmentation
Jialu Li, Lei Zhu, Zhaohu Xing, Baoliang Zhao, Ying Hu, Faqin Lv, Qiong Wang State: Accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 2024. |
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PromptHaze: Prompting Real-world Dehazing via Depth Anything Model
Tian Ye, Sixiang Chen, Haoyu Chen, Wenhao Chai, Jingjing Ren, Zhaohu Xing, Wenxue Li, and Lei Zhu State: Accepted by AAAI24 |
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AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Lei Zhu, and Xinghao Ding State: Accepted by AAAI24 |
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Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
Sixiang Chen, Tian Ye, Kai Zhang, Zhaohu Xing, Yunlong Lin, and Lei Zhu State: Accepted by ECCV2024 |
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Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Zhaohu Xing, and etc State: Accepted by NIPS2024 |
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Timeline and Boundary Guided Diffusion Network for Video Shadow Detection
Haipeng Zhou, Hongqiu Wang, Tian Ye, Zhaohu Xing, Jun Ma, Ping Li, Qiong Wang, and Lei Zhu State: Accepted by ACM MM 2024 (Oral Presentation) |
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Learning Diffusion Texture Priors for Image Restoration
Tian Ye, Sixiang Chen, Wenhao Chai, Zhaohu Xing, Qing Qin, and Lei Zhu State: Accepted by CVPR2024 (spotlight). |
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Anchored Supervised Contrastive Learning for Long-Tailed Medical Image Regression
Zhaoying Li, Zhaohu Xing, Lei Zhu, and Liang Wan State: Accepted by PRCV2024. |
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Standing on the Giants: Informative Messenger Prompts with Self-adapter for Image
Sixiang Chen, Tian Ye, Haoyu Chen, Yijun Yang, Zhaohu Xing, Fugee Tsung, and Lei Zhu Submited to ECCV2024 |
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Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
YingLing Lu, Yijun Yang, Zhaohu Xing, and Lei Zhu State: Early Accepted by MICCAI2024. |
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Vivim: a Video Vision Mamba for Medical Video Object Segmentation
Yijun Yang, Zhaohu Xing, and Lei Zhu State: Early Accepted by IEEE TSCVT. |
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DiffMIC-v2: Medical Image Classification via Improved Diffusion Network
Yijun Yang, Huazhu Fu, Angelica I. Aviles-Rivero, Zhaohu Xing, Lei Zhu State: Accepted by IEEE TMI |
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Uncertainty-aware Multi-dimensional Mutual Learning for Brain and Brain Tumor Segmentation
Junting Zhao, Zhaohu Xing, and Lei Zhu State: Accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 2023. |
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Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
Zhaohu Xing, Lei Zhu, and etc. State: Accepted by Medical Image Analysis |
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SegRap2023 : A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Zhaohu Xing, Lei Zhu, and etc. State: Accepted by Medical Image Analysis |