Ziyang Wang

I am a Lecturer (Assistant Professor) in AI & Robotics leading The MIRACLE Lab at Aston University. 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 30 papers as first/corresponding author and 10 papers as co-author [Link] [Link]. The code for all my first-author papers is available on GitHub [Link], with 15 repositories and over 1100 stars. I have received over 1100 citations only for my first-author papers on Google Scholar. I am an Associate Editor for Neurocomputing, Digital Health, International Journal of Advanced Robotic Systems, Area Chair for IEEE ICME and Guest Editor for Journal of Visual Communication and Image Representation, Fractal and Fractional, Frontiers in Medicine, Frontiers in Robotics and AI. I also actively review for over 400 submissions [Link] [Link] for Nature Communications, IEEE TPAMI, IEEE TIP, IEEE TMI, MedIA, ICLR, ICRA, and IROS, among others. I am a ELLIS Member, DAAD 2024 AInet Fellow, OYSS 2024 Fellow, received the MICCAI DEMI Best Paper Award, MDPI Travel Grant and IEEE SPS Travel Grant.

Beyond academia, I am the founder of Alienlab Ltd.

Opportunities

Feel free to reach out about PhD/RA opportunities, collaborations, or partnerships.

Email: ziyangwang@ieee.org

Fully-funded 3-year PhD (Oct/26) — Explainable AI for EEG processing. Apply
Fully-funded 3.5-year PhD (Oct/26) — Multimodal AI for human activity. Apply
Self-funded 3-year PhD (Jan/Apr/Jul/Oct) — Tuition £19,200/year. Apply
Fully-funded 3-year Postdoc — Aston AI Fellow. Apply

Research Interests

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

Build AI: CNN, ViT, Mamba, KAN, RWKV.
Train AI: Semi-/Self-/Weak-/Mixed-/Noise-Robust/Multi-Rater Learning, Human-AI Interaction, Large Vision Models, Large Language Models, Reinforcement Learning.
Use AI: Medical Image Segmentation, Medical Image Registration, Medical Image Inpainting, Object Detection, Depth Estimation, Human Gait Analysis, Person Re-Identification, Surgical Robot Vision, Low-Level Vision, Time Series Forecasting, Retrieval-Augmented Generation, Multi-Agent System, iOS Development.

GitHub Projects

Publications

[First Author]. “S4RoboFormer: Scribble-Supervised Surgical Robotic Segmentation Transformer via Augmented Consistency Training.” IEEE TMRB. 2025.
[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]
[Corresponding-Author]. “Triple-Residual Enhanced Convolution- and Transformer-Based Hybrid Encoder-Decoder Network for Medical Image Segmentation.” Neurocomputing. 2025.
[Co-Author]. “Unified Multimodal Learning for Stroke Triage: Joint Detection, Scoring, and Segmentation of Acute Ischemic Stroke.” npj Digital Medicine. 2025 . [Nature Portfolio]
[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]. “Climate Temporal Temperature Prediction via an Interpretable Kolmogorov-Arnold Neural Network.” IEEE TIM. 2025.
[Co-Author]. “Tem2-KAN: Data-Driven Temporal Temperature Prediction via an Improved Kolmogorov-Arnold Network.” ISA Transactions. 2025.
[Co-Author]. “Learning an Efficient Optimizer via Hybrid-Policy Sub Trajectory Balance.” ECAI. 2025.

[First Author]. “Mamba-UNet: UNet-like Pure Visual Mamba for Medical Image Segmentation.” arXiv. 2024. [GitHub 760+ Stars]
[First Author]. “VMambaMorph: a Visual Mamba-based Framework with Cross-Scan Module for Deformable 3D Image Registration.” arXiv. 2024. [GitHub 60+ Stars]
[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 120+ 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 120+ 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.
[Co-Author]. “Simultaneous Depth Estimation and Surgical Tool Segmentation in Laparoscopic Images.” IEEE TMRB. 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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