Che Liu

PhD student, Imperial College London

Joined

October 2022

Names

Che Liu (Preferred)

che liu

Emails

****@imperial.ac.uk (Confirmed)

Personal Links

Google Scholar

ORCID

Career & Education History

PhD student

Imperial College London (ic.ac.uk)

2022 – 2026

Intern

DAMO Academy (alibaba-inc.com)

2024 – 2025

Intern

AstraZeneca (astrazeneca.co.uk)

2024 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Rossella Arcucci

2022 – 2026

PhD Advisor

Wenjia Bai

2022 – 2026

PhD Advisor

Shah, Anand

2022 – 2026

Expertise

Vision-Language Pre-training

2022 – 2026

Deep learning

2021 – 2026

Self-supervised Learning

2021 – 2026

Medical Imaging

2021 – 2026

Publications

Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG
Jiarui Jin, Xiaocheng Fang, Haoyu Wang, Jun Li, Donglin Xie, Che Liu, Hongyan Li, Shenda Hong
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
Haozhe Wang, Qixin Xu, Che Liu, Junhong Wu, Fangzhen Lin, Wenhu Chen
- ICLR 2026 Poster
- Readers: Everyone
PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection
Xiaocheng Fang, Jiarui Jin, Haoyu Wang, Che Liu, Jieyi Cai, Guangkun Nie, Jun Li, Hongyan Li, Shenda Hong
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Fine-grained Contrastive Learning for ECG-Report Alignment with Waveform Enhancement
Haitao Li, Che Liu, Zhengyao Ding, Ziyi Liu, Wenqi Shao, Zhengxing Huang
- Submitted to ICLR 2026
- Readers: Everyone
Ariadne: Advancing Real-world Path-finding Capabilities of VLMs via Difficulty-aware Reinforcement Learning
Minghe Shen, Zhuo Zhi, Chonghan Liu, Shuo Xing, Zhengzhong Tu, Che Liu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL
Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci
- GenAI4Health 2025 Poster
- Readers: Everyone
Towards Generalizable Multimodal ECG Representation Learning with LLM-extracted Clinical Entities
Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, Rossella Arcucci
- FMSD @ ICML 2025
- Readers: Everyone
Two-Stage Contrastive Language Electrocardiogram Pre-training for Fine-Grained Waveform Features
HaitaoLi, Che Liu, Zhengyao Ding, Ziyi Liu, Zhengxing Huang
- FMSD @ ICML 2025
- Readers: Everyone
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert
- Arxiv Preprint
- Readers: Everyone
NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI
Cosmin I. Bercea, Jun Li, Philipp Raffler, Evamaria Olga Riedel, Lena Schmitzer, Angela Kurz, Felix Bitzer, Paula Roßmüller, Julian Canisius, Mirjam L. Beyrle, Che Liu, Wenjia Bai, Bernhard Kainz, Julia A. Schnabel, Benedikt Wiestler
- NeurIPS 2025 Datasets and Benchmarks Track oral
- Readers: Everyone

View all 58 publications

Co-Authors

View all 136 co-authors