Scholar
Zhaohu Xing
Google Scholar ID: O3x90PQAAAAJ
Hong Kong University of Science and Technology (Guangzhou)
Citations & Impact
Citations
1,568
H-index
16
i10-index
18
Publications
20
Co-authors
13
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications:
- - Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine (CVPR2025)
- - Farther Than Mirror: Explore Pattern-Compensated Depth of Mirror with Temporal Changes for Video Mirror Detection (ACM MM2025)
- - SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation (MICCAI2024 Spotlight Presentation)
- - SegMamba-V2: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation (IEEE Transactions on Medical Imaging (TMI))
- - Cross-conditioned Diffusion Model for medical image-to-image translation (MICCAI2024)
- - Diff-UNet: A Diffusion Embedded Network for Robust 3D Medical Image Segmentation (Medical Image Analysis (MedIA))
- - Hybrid Masked Image Modeling for 3D Medical Image Segmentation (IEEE Journal of Biomedical and Health Informatics (JBHI) 2024)
- - NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation (MICCAI2022)
- - Temporal Prompt Learning with Depth Memory for Video Mirror Detection (IEEE TMM)
- - Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network (ACM MM Workshop 2024)
- - Cascaded Inner-Outer Clip Retformer for Ultrasound Video Object Segmentation (IEEE Journal of Biomedical and Health Informatics (JBHI) 2024)
- - PromptHaze: Prompting Real-world Dehazing via Depth Anything Model (AAAI24)
- - AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement (AAAI24)
- - Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint (ECCV2024)
- - Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? (NIPS2024)
- - Timeline and Boundary Guided Diffusion Network for Video Shadow Detection (ACM MM 2024 Oral Presentation)
- - Learning Diffusion Texture Priors for Image Restoration (CVPR2024 Spotlight)
- - Anchored Supervised Contrastive Learning for Long-Tailed Medical Image Regression (Incomplete information)
Research Experience
- Served as a reviewer for TMI, TPAMI, MedAI, JBHI, NeurIPS, ICLR, CVPR, ECCV, MICCAI.
Education
- PhD: HKUST-GZ, Supervisors: Prof. Zhu Lei, Prof. Fugee Tsung; Master's: Tianjin University
Background
- Research Interests: Medical Image Analysis; Professional Field: PhD Student; Bio: Currently a second-year PhD student at HKUST-GZ, supervised by Prof. Zhu Lei and Prof. Fugee Tsung. Before that, received a master's degree from Tianjin University.
