class YangLiu(Researcher):
education = ["PhD, King's College London — School of Biomedical Engineering & Imaging Sciences (2021–2026)",
"MSc, Huazhong University of Science and Technology (2019–2021), advised by Prof. Xiang Bai"]
experience = ["Proximie — Data Scientist, part-time (Jan–Jul 2025)",
"ByteDance — Computer Vision Algorithm Engineer, intern (2021)"]
advisors = {"primary": "Prof. Sébastien Ourselin", "co-supervisors": ["Prof. Prokar Dasgupta", "Dr. Alejandro Granados"]}
research = {
"surgical video": ["online phase recognition", "long-video transformers", "streaming VLMs"],
"segmentation": ["weakly-supervised referring segmentation", "unsupervised instrument segmentation"],
"medical imaging": ["echocardiography phase detection", "stroke lesion segmentation", "AD diagnosis from sMRI"],
"vision-language": ["language-driven visual tasks", "noise-injected cross-modal alignment"],
}
def mission(self):
return "Build AI that watches surgery in real time and makes the operating room safer."|
Online, causal recognition of what is happening in the OR — from a single frame to a multi-hour procedure.
|
Learning with fewer labels, across modalities.
|
🏆 1st place — MICCAI 2022 ATLAS Ischemic Stroke Lesion Segmentation Challenge (Team CTRL)
| Year | Venue | Paper | Links |
|---|---|---|---|
| 2026 | Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition — Yang Liu*, Ning Zhu*, J. Peng, X. Chen, A. Granados, G. Wang, S. Ourselin | arXiv · code | |
| 2026 | SLIM: High-Throughput Watermarking with Stationary Latent Manifolds — Q. Yan, Z. Chen, Yang Liu†, Z. Cai† | — | |
| 2025 | Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow — Yang Liu, P. Wu, J. Huo, G. Zhang, Z. Yuan, C. Bergeles, R. Sparks, P. Dasgupta, A. Granados, S. Ourselin | arXiv | |
| 2025 | WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation — Yang Liu*, Silin Cheng*, X. He, S. Ourselin, L. Tan, G. Luo | arXiv · code | |
| 2025 | A Domain Generalization Framework Based on Wavelet-Driven Structural Enhancement and Contrastive Alignment — Y. Xu, T. Zhang, Yang Liu | — | |
| 2024 | LoViT: Long Video Transformer for Surgical Phase Recognition — Yang Liu, M. Boels, L. C. Garcia-Peraza-Herrera, T. Vercauteren, P. Dasgupta, A. Granados, S. Ourselin | paper · code | |
| 2024 | Gray Matter-Guided Attention Network for AD Diagnosis Using Structural MRI — Y. Zhang, H. Cai, Y. Du, B. Xu, Yang Liu† | paper | |
| 2024 | DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography — Z. Bu*, Yang Liu*†, et al. | arXiv · code | |
| 2024 | ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks — Yang Liu, X. Yu, G. Zhang, Z. Zhu, C. Bergeles, P. Dasgupta, A. Granados, S. Ourselin | arXiv | |
| 2023 | SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition — Yang Liu, J. Huo, J. Peng, R. Sparks, P. Dasgupta, A. Granados, S. Ourselin | paper · repo | |
| 2021 | WDNet: Watermark-Decomposition Network for Visible Watermark Removal — Yang Liu, Z. Zhu, X. Bai | paper · code | |
| 2020 | Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation — J. Wan, Yang Liu, D. Wei, X. Bai, Y. Xu | paper · code |
* equal contribution · † corresponding author
2026.05 ◆ MICCAI 2026 early accept (top 9%) — StableSPR ◆ IEEE TCSVT — SLIM
2026.01 ◆ PhD awarded, King's College London
2025 ◆ CVPR 2025 — WeakMCN ◆ MICCAI 2025 ◆ ICME 2025 ◆ Data Scientist @ Proximie (Jan–Jul)
2024 ◆ Medical Image Analysis — LoViT ◆ ISBI 2024 ◆ DDSB / ArcSin preprints
2023 ◆ ICCV 2023 — SKiT
2022 ◆ 1st place, MICCAI ATLAS Stroke Lesion Segmentation Challenge
2021 ◆ MSc, HUST ◆ CV Algorithm Engineer intern @ ByteDance ◆ PhD begins @ KCL, London
2020–21 ◆ CVPR 2020 — Super-BPD ◆ WACV 2021 — WDNet
Open to collaboration on surgical AI, medical video understanding and vision-language models.
yang.9.liu@kcl.ac.uk


