About Me

I am a second-year Ph.D. student at Imperial College London, supervised by Prof. Guang Yang and Prof. Peter J. Lally, funded by the China Scholarship Council. My research develops agentic AI for medical imaging along three threads: motion-robust MRI reconstruction with implicit neural representations (IEEE TIP 2026), ultra-low-field to high-field MRI synthesis via self-supervised diffusion (IEEE TMI 2026, ISBI 2026 Oral), and verifiable radiology report generation with large language models (AAAI 2026, MedIA 2025). My prior M.S. work at Sun Yat-sen University focused on echocardiography analysis (IEEE TMI 2024, MedIA 2025). I build methods that are label-efficient, uncertainty-aware, and clinically deployable, with the long-term goal of translating foundation-model-driven AI into trustworthy tools for real-world radiology workflows.

Education

Imperial College London
Ph.D. in Bioengineering
Department of Bioengineering, Imperial College London · 2024 — 2028 · Supervisors: Prof. Guang Yang and Prof. Peter J. Lally
Sun Yat-sen University
Master of Biological and Pharmaceutical Engineering
School of Biomedical Engineering, Sun Yat-sen University · 2021 — 2024 · Supervisors: Prof. Heye Zhang and Prof. Zhifan Gao
Sun Yat-sen University
Bachelor of Biomedical Engineering
School of Biomedical Engineering, Sun Yat-sen University · 2017 — 2021

Research Experience

Motion-Robust MRI Reconstruction via Implicit Neural Representations
Imperial College London · 2024 — present
Designed Progressive Refinement Implicit Neural Representation (PR-INR), which couples motion-aware diffusion for global structure recovery with implicit detail restoration for local fidelity, reconstructing 3D brain volumes from motion-corrupted 2D slices and outperforming state-of-the-art baselines across five public MRI datasets.
Outcome: IEEE Transactions on Image Processing, 2026.
Ultra-Low-Field to High-Field MRI Synthesis for Point-of-Care Imaging
Imperial College London · 2024 — present
Developed unpaired LF↔HF MRI translation methods for portable 0.05T scanners, including (i) a cyclic self-supervised diffusion model, (ii) a pretext-task adversarial learning framework, and (iii) reliability-guided selective generation that abstains on unreliable regions to reduce hallucination risk.
Outcome: IEEE TMI 2026; two ISBI 2026 Oral presentations; MICCAI submission under review.
Verifiable Radiology Report Generation with Large Language Models
Imperial College London · 2024 — present
Built agentic LLM pipelines for interpretable report generation with practicing radiologists: GEMA-Score, a multi-agent framework that decomposes report quality into clinically meaningful sub-criteria, and "Reason Like a Radiologist," a chain-of-thought and reinforcement-learning pipeline producing checkable reasoning traces.
Outcome: AAAI 2026; Medical Image Analysis 2025 (co-first author).
Multi-Dimensional Echocardiography Analysis
Sun Yat-sen University · 2021 — 2024
Proposed a cross-space consistency framework embedding pixel-, image-, and sequence-level tasks into a unified latent space for cardiac function assessment (validated on 10,908 patients across five datasets), and a text-guided bidirectional reciprocal cycle framework for label-efficient cardiac segmentation.
Outcome: IEEE TMI 2024; Medical Image Analysis 2025.

Publications

Cross-Space Consistency
Embedding Tasks into the Latent Space: Cross-Space Consistency for Multi-Dimensional Analysis in Echocardiography.
Z. Zhang, C. Yu, H. Zhang, Z. Gao · IEEE Transactions on Medical Imaging, 43(6):2215–2228, 2024. SCI 1区 Top · IF 9.8 · doi:10.1109/TMI.2024.3362964
BRC
Bridging Multi-Level Gaps: Bidirectional Reciprocal Cycle Framework for Text-Guided Label-Efficient Segmentation in Echocardiography.
Z. Zhang, H. Zhang, T. Zeng, G. Yang, Z. Shi, Z. Gao · Medical Image Analysis, 102:103536, May 2025. SCI 1区 Top · IF 11.8 · doi:10.1016/j.media.2024.103536
PR-INR
From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction.
Z. Zhang, L. Zhang, Y. Cheng, Z. Wang, F. Wang, H. Zhang, Y. Yang, Y. Wu, J. Huang, A. Aviles-Rivero, Z. Gao, G. Yang, P. J. Lally · IEEE Transactions on Image Processing, 35:3550–3565, 2026. SCI 1区 Top · IF 13.7
Cyclic Diffusion
Cyclic Self-Supervised Diffusion for Ultra Low-field to High-field MRI Synthesis.
Z. Zhang*, P. Jing*, Z. Wang, U. Briski, C. Beitone, Y. Yang, Y. Wu, F. Wang, L. Yang, J. Huang, Z. Gao, Z. Chen, K. T. Islam, G. Yang, P. J. Lally · IEEE Transactions on Medical Imaging, 2026. (*co-first authors) SCI 1区 Top · IF 9.8
GEMA-Score
GEMA-Score: Granular Explainable Multi-Agent Scoring Framework for Radiology Report Evaluation.
Z. Zhang, K. Lee, P. Jing, W. Deng, H. Zhou, Z. Jin, J. Huang, Z. Gao, D. C. Marshall, Y. Fang, G. Yang · Proceedings of the AAAI Conference on Artificial Intelligence, 40(15):13025–13033, 2026. CCF-A
Reason Like a Radiologist
Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation.
P. Jing*, K. Lee*, Z. Zhang*, H. Zhou, Z. Yuan, Z. Gao, L. Zhu, G. Papanastasiou, Y. Fang, G. Yang · Medical Image Analysis, 109:103910, 2025. (*co-first authors) SCI 1区 Top · IF 11.8
MTRT-Net
Multiple Token Rearrangement Transformer Network with Explicit Superpixel Constraint for Segmentation of Echocardiography.
W. Ding, H. Zhang, X. Liu, Z. Zhang, S. Zhuang, Z. Gao, L. Xu · Medical Image Analysis, 101:103470, 2025. SCI 1区 Top · IF 11.8 · doi:10.1016/j.media.2024.103470
FCVM
Artificial Intelligence-assisted Echocardiographic Monitoring in Pediatric Patients on Extracorporeal Membrane Oxygenation.
W. Chen, J. Wu, Z. Zhang, et al. · Frontiers in Cardiovascular Medicine, 11:1418741, Dec 2024. SCI 3区 · IF 2.9 · doi:10.3389/fcvm.2024.1418741
TUCL
Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation.
Z. Zhang, H. Wu, J. Huang, B. Xie, Z. Gao, J. Du, P. Lally, G. Yang · IEEE International Symposium on Biomedical Imaging (ISBI 2026). Oral
PTA
Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI Synthesis.
Z. Zhang, P. Jing, C. Beitone, J. Huang, Z. Gao, G. Yang, P. Lally · IEEE International Symposium on Biomedical Imaging (ISBI 2026). Oral
Musical Score
Musical Score Understanding Benchmark: Evaluating Large Language Models' Comprehension of Complete Musical Scores.
C. Dai, Y. Yang, K. Li, H. Zhou, S. Liang, Z. Bo, E. Liu, G. Jin, H. An, H. Zhang, Z. Zhang, et al. · Annual Meeting of the Association for Computational Linguistics (ACL). CCF-A
Hypercomplex MRI
Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach.
H. Zhang, J. Huang, Y. Wu, C. Dai, F. Wang, Z. Zhang, G. Yang · International Workshop on Machine Learning in Medical Imaging (MLMI), pp. 95–105, 2025.
Wavelet PET
3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising.
P. Jing, Y. Yang, C.-W. Cheng, Z. Zhang, L. Yang, T. V. Lima, K. Strobel, A. Leimgruber, A. Aviles-Rivero, G. Yang, et al. · 28th International Conference on Pattern Recognition (ICPR 2026). CCF-C
HRMC
Mining Implicit Expertise: Hierarchical Reversal Mutual Consistency for Learning Generalized Medical Visual Representations.
Z. Zhang, H. Zhang, L. Gu, Z. Gao, G. Yang · Under Review · IEEE TPAMI
GSD-Net
From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation.
Z. Zhang*, T. Wang*, Y. Zhou, X. Zhang, Y. Chen, T. Tan, G. Yang, T. Tong · Under Review · Medical Image Analysis (*co-first authors)
ScribbleVS
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection.
T. Wang*, X. Zhang*, Z. Zhang, Y. Zhou, Y. Chen, L. Zhao, C. Xu, S. Chen, G. Yang, T. Tong · Under Review · Medical Image Analysis (*co-first authors)
Trustworthy
Towards Trustworthy Selective Generation: Reliability-Guided Diffusion for Ultra-Low-Field to High-Field MRI Synthesis.
Z. Zhang, P. Jing, R. Yuan, L. Hu, A. Wang, F. Wang, Y. Wu, K. T. Islam, Z. Chen, Z. Wang, et al. · arXiv:2603.11325, 2026
Experts Eyes
Seeing Through Experts' Eyes: A Foundational Vision Language Model Trained on Radiologists' Gaze and Reasoning.
K. Lee, P. Jing, Z. Zhang†, Y. Yang, T. Wang, D. C. Marshall, Y. Fang, G. Yang · arXiv:2604.14316, 2026 (†co-corresponding author)
Dual Buffer
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning.
C. Dai, H. Zhou, J. Huang, Z. Zhang, F. Wang, Y. Gao, G. Yang, F. Ye · arXiv:2505.18101, 2025
Multi-Contrast SR
Decoupling Multi-Contrast Super-Resolution: Self-Supervised Implicit Re-Representation for Unpaired Cross-Modal Synthesis.
Y. Wu, H. Rui, F. Wang, J. Huang, Z. Zhang, H. Zhang, Z. Wang, G. Yang · arXiv:2505.05855, 2025
MAP-Diff
MAP-Diff: Multi-Anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising.
P. Jing, C.-W. Cheng, L. Yang, Z. Zhang, T. V. Lima, K. Strobel, A. Leimgruber, A. Aviles-Rivero, G. Yang, J. A. Montoya-Zegarra · arXiv:2603.02012, 2026
HRCT
Unleashing Video Language Models for Fine-grained HRCT Report Generation.
Y. Fang, H. Zhou, K. Lee, Y. Wang, Z. Zhang, J. Huang, G. Yang · arXiv:2603.12469, 2026
HiPath
HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction.
R. Yuan, Z. Zhang, A. Wang, L. Hu, X. Hua, Y. Peng, J. Luo, G. Yang · arXiv:2603.19957, 2026

Teaching Experience

Graduate Teaching Assistant — Image Processing
Imperial College London · Jan 2025 — Apr 2025

Responsible for tutorial preparation, Q&A sessions, and exam paper marking.

Graduate Teaching Assistant — Trustworthy AI in Medical Analysis
Imperial College London · Mar 2025 — May 2025

Assisted in-class discussions and graded project reports.

MSc Final Project Co-Supervisor
Imperial College London · Jun 2025 — Sep 2025

Co-supervised a group of 4 MSc students on their final research project.

MSc Final Project Co-Supervisor
Imperial College London · Mar 2026 — Sep 2026

Co-supervised a group of 5 MSc students on their final research project.

Awards & Grants

Isambard-AI Compute Grant · UK AI Research Resource (AIRR)
2025 · DSIT / UKRI

Awarded 800,000 GPU hours on Isambard-AI via the DSIT/UKRI AIRR open call for the project "AI-Enhanced MRI Reconstruction and Diagnostic Modeling Across Magnetic Field Strengths" (PI: Prof. Guang Yang; co-PI of the winning proposal). Selected among the strongest proposals in a highly competitive open call.

National CSC Scholarship
2024 — 2028 · China Scholarship Council (CSC) Ph.D. Scholarship for Overseas Study, full funding for Ph.D. studies at Imperial College London.
Sun Yat-sen University Scholarship
Sep 2022 — Jun 2023 · Second Prize
Sun Yat-sen University Scholarship
Sep 2021 — Jun 2022 · First Prize
The 5th National Undergraduate Biomedical Engineering Innovation Design Competition
Jan — May 2019 · Third Prize · Automatic segmentation algorithm for spine MRI images

Technical Skills & Interests

Languages: English, Chinese, Cantonese, Hakka

Programming Languages: Python, C/C++, MATLAB

Deep Learning Frameworks: PyTorch, TensorFlow

Areas of Interest: MRI Reconstruction, Modality Synthesis, Vision-Language Modeling, Agentic AI

Methods: Implicit Neural Representations, Diffusion Models, Large Language Models, Uncertainty-Aware Learning