Zhaohu Xing 邢兆虎

VIP Lab,
No.1, Duxue Road,
Guangzhou, China

Email: zxing565@connect.hkust-gz.edu.cn

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Biography

I'm a first-year PhD student from HKUST-GZ, supervised by prof. Zhu Lei. Before that, I received the master degree from Tianjin University.

My research area is Medical Image Analysis.

Publications

	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 Submited to ICLR2024

	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)

	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

	Diff-UNet: A Diffusion Embedded Network for Robust 3D Medical Image Segmentation Zhaohu Xing, Huazhu Fu, Guang Yang, and Lei Zhu Submited to MedIA

	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.

	NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation Zhaohu Xing, Lequan Yu, Liang Wan, and Lei Zhu State: Accepted by MICCAI2022.

	Temporal Prompt Learning with Depth Memory for Video Mirror Detection Zhaohu Xing, Tian Ye, Sixiang Chen, and Lei Zhu Submited to IJCV

	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).*

	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.

	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: Submit to AAAI24

	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

	Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? Zhaohu Xing, and etc State: Accepted by NIPS2024

	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)

	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).

	Anchored Supervised Contrastive Learning for Long-Tailed Medical Image Regression Zhaoying Li, Zhaohu Xing, Lei Zhu, and Liang Wan State: Accepted by PRCV2024.

	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

	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.

	Vivim: a Video Vision Mamba for Medical Video Object Segmentation Yijun Yang, Zhaohu Xing, and Lei Zhu Submited to MICCAI2024

	DiffMIC-v2: Medical Image Classification via Improved Diffusion Network Yijun Yang, Huazhu Fu, Angelica I. Aviles-Rivero, Zhaohu Xing, Lei Zhu Submited to IEEE TMI

	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.

	Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge Zhaohu Xing, Lei Zhu, and etc. State: Accepted by Medical Image Analysis

	SegRap2023 : A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma Zhaohu Xing, Lei Zhu, and etc. Submited to MIA

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Last updated: 12/19, 2023