Ziyang Wang

I am an Assistant Professor in AI & Robotics leading The ALIEN Lab. Previously, I was a Postdoctoral Researcher at The Alan Turing Institute (2025). I earned DPhil in Computer Science at University of Oxford (2024), MRes with distinction at Imperial College London (2018), and BEng in Automation at Xi’an Jiaotong University (2017).

Since 2021, I have published over 35 papers as first/corresponding author and 5 papers as co-author [Link] [Link]. The code for all my first-author papers is available on GitHub [Link], with 15 repositories and over 900 stars. I have received over 1100 citations only for my first-author papers on Google Scholar. I also actively review for over 300 submissions [Link] [Link] for Nature Communications, IEEE TPAMI, IEEE TIP, IEEE TMI, MedIA, ICLR, ICRA, and IROS, among others. I am a DAAD 2024 AInet Fellow, OYSS 2024 Fellow, received the MICCAI DEMI Best Paper Award, and IEEE SPS Travel Grant.

Feel free to reach out for PhD/RA opportunities, collaboration, or connection.

Email: ziyangwang@ieee.org

Research Interests

Artificial Intelligence, Robotics, Computer Vision, Healthcare AI, Space AI.

Build AI: CNN, ViT, Mamba, KAN, RWKV.
Train AI: Supervised/Weakly-Supervised/Self-Supervised/Semi-Supervised/Mixed-Supervised/Noise-Robust Learning, Domain Adaptation.
Use AI: Medical Image Segmentation, Medical Image Registration, Medical Image Inpainting, Object Detection, Depth Estimation, Human Gait Analysis, Person Re-Identification, Surgical Robot Vision, Image Enhancement.

GitHub Projects

Call for Papers

Multimodal Learning for Visual Intelligence: From Emerging Techniques to Real-World Applications
Journal: Journal of Visual Communication and Image Representation
Submission Deadline: 30 November 2025

Fostering Trustworthy Artificial Intelligence in Medical Imaging
Journal: Frontiers in Medicine
Submission Deadline: 20 December 2025

Fractional and Fractal Methods in Biomedical Imaging and Time Series Learning
Journal: Fractal and Fractional
Submission Deadline: 31 August 2026

Publications

[First Author]. “DiffKAN-Inpainting: KAN-based Diffusion Model for Brain Tumor Inpainting.” IEEE ISBI. 2025.
[Corresponding-Author]. “Spectral Enhancement and Pseudo-anchor Guidance for Infrared-Visible Person Re-identification.” IEEE ICASSP. 2025.
[Corresponding-Author]. “Uncertainty-Aware Self-attention Model for Time Series Predictive Tasks with Missing Values.” Fractal and Fractional. 2025. [100% APC Discount]
[Co-Author]. “HFE-RWKV: High-Frequency Enhanced RWKV Model for Efficient Left Ventricle Segmentation in Pediatric Echocardiograms.” IEEE ICASSP. 2025.
[Co-Author]. “Zig-RiR: Zigzag RWKV-in-RWKV for Efficient Medical Image Segmentation.” IEEE TMI. 2025.
[Co-Author]. “Tem2-KAN: Data-Driven Temporal Temperature Prediction via an Improved Kolmogorov-Arnold Network.” ISA Transactions. 2025.

[First Author]. “Mamba-UNet: UNet-like Pure Visual Mamba for Medical Image Segmentation.” arXiv. 2024. [GitHub 650+ Stars]
[First Author]. “VMambaMorph: a Visual Mamba-based Framework with Cross-Scan Module for Deformable 3D Image Registration.” arXiv. 2024.
[First Author]. “MixSegNet: Fusing Multiple Mixed-Supervisory Signals with Multiple Views of Networks for Mixed-Supervised Medical Image Segmentation.” EAAI. 2024.
[Corresponding-Author]. “GaitFormer: Leveraging Dual-Stream Spatial-Temporal Vision Transformer via a Single Low-Cost RGB Camera for Clinical Gait Analysis.” KBS. 2024.
[Corresponding-Author]. “Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation.” KBS. 2024.
[Corresponding-Author]. “TriConvUNeXt: A Pure CNN-based Lightweight Symmetrical Network for Biomedical Image Segmentation.” Journal of Imaging Informatics in Medicine. 2024.
[Corresponding-Author]. “Quadruple-Consistency Vision Transformer for Medical Image Segmentation with Limited Number of Sparse Annotations.” IEEE ICIP. 2024.
[Co-Author]. “A Survey on Visual Mamba. “ Applied Sciences. 2024.

[First Author]. “Dual-Contrastive Dual-Consistency Dual-Transformer: A Semi-Supervised Approach to Medical Image Segmentation.” ICCV. 2023. [GitHub 110+ Stars]
[First Author]. “Dealing with Unreliable Annotations: A Noise-Robust Network for Semantic Segmentation through A Transformer-Improved Encoder and Convolution Decoder.” Applied Sciences. 2023. [100% APC Discount]
[First Author]. “Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework.” MICCAI-MILLanD. 2023.
[First Author]. “Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels.” MICCAI-DEMI. 2023. [Best Paper Award]
[First Author]. “Densely Connected Swin-UNet for Multiscale Information Aggregation in Medical Image Segmentation.” IEEE ICIP. 2023.
[Co-Author]. “Residual Aligner-based Network (RAN): Motion-Separable Structure for Coarse-to-fine Discontinuous Deformable Registration.” MedIA, 2023.

[First Author]. “When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation.” ECCV. 2022. [GitHub 110+ Stars]
[First Author]. “Adversarial Vision Transformer for Medical Image Semantic Segmentation with Limited Annotations.” BMVC. 2022.
[First Author]. “Computationally Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo-Label Supervision.” IEEE ICIP. 2022. [IEEE Travel Grant]
[First Author]. “Triple-View Feature Learning for Medical Image Segmentation.” MICCAI-REMIA. 2022.
[First Author]. “An Uncertainty-Aware Transformer for MRI Cardiac Semantic Segmentation via Mean Teachers.” MIUA. 2022.

[First Author]. “RAR-U-Net: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels.” IEEE ICIP. 2021.
[First Author]. “Quadruple Augmented Pyramid Network for Multi-Class COVID-19 Segmentation via CT.” IEEE EMBC. 2021.
[First Author]. “A Single RGB Camera-Based Gait Analysis with a Mobile Tele-Robot for Healthcare.” IEEE EMBC. 2021.

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