M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. - Che Liu 002; Sibo Cheng; Chen Chen 042; Mengyun Qiao; Weitong Zhang; Anand Shah; Wenjia Bai; Rossella Arcucci (MICCAI (1), 2023)

Frozen Language Model Helps ECG Zero-Shot Learning. - Jun Li; Che Liu 002; Sibo Cheng; Rossella Arcucci; Shenda Hong (MIDL, 2023)

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. - Zhongwei Wan; Che Liu 002; Mi Zhang 002; Jie Fu 001; Benyou Wang; Sibo Cheng; Lei Ma 008; César Quilodrán Casas; Rossella Arcucci (NeurIPS, 2023)

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation. - Yinda Chen; Che Liu 002; Wei Huang 036; Sibo Cheng; Rossella Arcucci; Zhiwei Xiong (CoRR, 2023)

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images. - Che Liu 002; Anand Shah; Wenjia Bai; Rossella Arcucci (CoRR, 2023)

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. - Che Liu 002; Cheng Ouyang; Yinda Chen; César Quilodrán Casas; Lei Ma 008; Jie Fu 001; Yike Guo; Anand Shah; Wenjia Bai; Rossella Arcucci (CoRR, 2023)

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. - Sibo Cheng; César Quilodrán Casas; Said Ouala; Alban Farchi; Che Liu 002; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; et al. (IEEE CAA J. Autom. Sinica, 2023)

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. - Che Liu 002; Zhongwei Wan; Sibo Cheng; Mi Zhang 002; Rossella Arcucci (ICASSP, 2024)

Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training. - Jiuming Qin; Che Liu 002; Sibo Cheng; Yike Guo; Rossella Arcucci (ICASSP, 2024)

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. - Che Liu 002; Zhongwei Wan; Cheng Ouyang; Anand Shah; Wenjia Bai; Rossella Arcucci (ICML, 2024)

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. - Yinda Chen; Che Liu 002; Xiaoyu Liu 006; Rossella Arcucci; Zhiwei Xiong (MICCAI (11), 2024)

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. - Che Liu 002; Cheng Ouyang; Sibo Cheng; Anand Shah; Wenjia Bai; Rossella Arcucci (NeurIPS, 2024)

Electrocardiogram Instruction Tuning for Report Generation. - Zhongwei Wan; Che Liu 002; Xin Wang 120; Chaofan Tao; Hui Shen 008; Zhenwu Peng; Jie Fu 001; Rossella Arcucci; Huaxiu Yao; Mi Zhang 002 (CoRR, 2024)

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. - Che Liu 002; Zhongwei Wan; Yuqi Wang; Hui Shen 008; Haozhe Wang 002; Kangyu Zheng; Mi Zhang 002; Rossella Arcucci (CoRR, 2024)

How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks? - Sicheng Wang; Che Liu 002; Rossella Arcucci (CoRR, 2024)

FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks. - Peiran Wu; Che Liu 002; Canyu Chen; Jun Li; Cosmin I. Bercea; Rossella Arcucci (CoRR, 2024)

An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains. - Jun Li; Aaron Aguirre; Junior Moura; Che Liu 002; Lanhai Zhong; Chenxi Sun; Gari D. Clifford; M. Brandon Westover; Shenda Hong (CoRR, 2024)

MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning. - Ziliang Gan; Yu Lu 020; Dong Zhang; Haohan Li; Che Liu 002; Jian Liu; Ji Liu 003; Haipang Wu; Chaoyou Fu; Zenglin Xu; Rongjunchen Zhang; Yong Dai 001 (CoRR, 2024)

Efficient Large Language Models: A Survey. - Zhongwei Wan; Xin Wang 120; Che Liu 002; Samiul Alam; Yu Zheng 022; Jiachen Liu; Zhongnan Qu; Shen Yan 008; Yi Zhu; Quanlu Zhang; Mosharaf Chowdhury; Mi Zhang 002 (Trans. Mach. Learn. Res., 2024)

Efficient deep data assimilation with sparse observations and time-varying sensors. - Sibo Cheng; Che Liu 002; Yike Guo; Rossella Arcucci (J. Comput. Phys., 2024)

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? - Che Liu 002; Zhongwei Wan; Haozhe Wang 002; Yinda Chen; Talha Qaiser; Chen Jin; Nikolay Burlutskiy; Fariba Yousefi; Rossella Arcucci (ACL (Findings), 2025)

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation. - Che Liu 002; Zhongwei Wan; Yuqi Wang; Hui Shen 008; Haozhe Wang 002; Kangyu Zheng; Mi Zhang 002; Rossella Arcucci (ACL (Findings), 2025)

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. - Zhongwei Wan; Che Liu 002; Xin Wang 120; Chaofan Tao; Hui Shen 008; Jing Xiong; Rossella Arcucci; Huaxiu Yao; Mi Zhang 002 (ACL (Findings), 2025)

SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning. - Mingsheng Cai; Jiuming Jiang; Wenhao Huang; Che Liu 002; Rossella Arcucci (EMNLP (Findings), 2025)

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. - Che Liu 002; Cheng Ouyang; Zhongwei Wan; Haozhe Wang 002; Wenjia Bai; Rossella Arcucci (EMNLP (Findings), 2025)

GTGM: Generative Text-Guided 3D Vision-Language Pretraining for Medical Image Segmentation. - Yinda Chen; Che Liu 002; Wei Huang 036; Xiaoyu Liu 006; Haoyuan Shi; Sibo Cheng; Rossella Arcucci; Zhiwei Xiong (ICCVW, 2025)

T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency. - Che Liu 002; Cheng Ouyang; Yinda Chen; César Quilodrán Casas; Lei Ma 008; Jie Fu 001; Yike Guo; Anand Shah; Wenjia Bai; Rossella Arcucci (ICCVW, 2025)

MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation. - Jiawen Wang; Yinda Chen; Xiaoyu Liu 006; Che Liu 002; Dong Liu 002; Jianqing Gao; Zhiwei Xiong (ICML, 2025)

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. - Jiazhen Pan; Che Liu 002; Junde Wu; Fenglin Liu; Jiayuan Zhu; Hongwei Bran Li; Chen Chen 042; Cheng Ouyang; Daniel Rueckert (MICCAI (7), 2025)

NEXUS-O: An Omni-Perceptive and -Interactive Model for Language, Audio, and Vision. - Che Liu 002; Yingji Zhang; Dong Zhang; Weijie Zhang; Chenggong Gong; Yu Lu 020; Shilin Zhou 002; Ziliang Gan; Ziao Wang; Haipang Wu; Ji Liu 003; André Freitas; et al. (ACM Multimedia, 2025)

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference. - Zhongwei Wan; Hui Shen 008; Xin Wang 120; Che Liu 002; Zheda Mai; Mi Zhang 002 (NAACL (Long Papers), 2025)

NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI. - Cosmin Bercea; Jun Li; Philipp Raffler; Evamaria O. Riedel; Lena Schmitzer; Angela Kurz; Felix Bitzer; Paula Roßmüller; Julian Canisius; Mirjam L. Beyrle; Che Liu 002; Wenjia Bai; et al. (NeurIPS, 2025)

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning. - Zhongwei Wan; Zhihao Dou; Che Liu 002; Yu Zhang 133; Dongfei Cui; Qinjian Zhao; Hui Shen 008; Jing Xiong; Yi Xin 003; Yifan Jiang; Chaofan Tao; Yangfan He; et al. (NeurIPS, 2025)

TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. - Sibo Cheng; Jinyang Min; Che Liu 002; Rossella Arcucci (Comput. Phys. Commun., 2025)

Machine learning for modelling unstructured grid data in computational physics: A review. - Sibo Cheng; Marc Bocquet; Weiping Ding 001; Tobias Sebastian Finn; Rui Fu; Jinlong Fu; Yike Guo; Eleda Johnson; Siyi Li; Che Liu 002; Eric Newton Moro; Jie Pan 007; et al. (Inf. Fusion, 2025)

Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm. - Jake Lever; Sibo Cheng; César Quilodrán Casas; Che Liu 002; Hongwei Fan; Robert Platt 002; Andrianirina Rakotoharisoa; Eleda Johnson; Siyi Li; Zhendan Shang; Rossella Arcucci (J. Comput. Sci., 2025)

Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond. - Yundi Zhang; Paul Hager; Che Liu 002; Suprosanna Shit; Chen Chen 042; Daniel Rueckert; Jiazhen Pan (Medical Image Anal., 2025)

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. - Che Liu 002; Sibo Cheng; Miaojing Shi; Anand Shah; Wenjia Bai; Rossella Arcucci (IEEE Trans. Medical Imaging, 2025)

Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement. - Che Liu 002; Sibo Cheng; Weiping Ding 001; Rossella Arcucci (IEEE Trans. Neural Networks Learn. Syst., 2025)

Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision. - Che Liu 002; Yingji Zhang; Dong Zhang; Weijie Zhang; Chenggong Gong; Haohan Li; Yu Lu 020; Shilin Zhou 002; Yue Lu; Ziliang Gan; Ziao Wang; Junwei Liao; et al. (CoRR, 2025)

Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions. - Jun Li; Che Liu 002; Wenjia Bai; Rossella Arcucci; Cosmin I. Bercea; Julia A. Schnabel (CoRR, 2025)

NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI. - Cosmin I. Bercea; Jun Li; Philipp Raffler; Evamaria O. Riedel; Lena Schmitzer; Angela Kurz; Felix Bitzer; Paula Roßmüller; Julian Canisius; Mirjam L. Beyrle; Che Liu 002; Wenjia Bai; et al. (CoRR, 2025)

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. - Che Liu 002; Haozhe Wang 002; Jiazhen Pan; Zhongwei Wan; Yong Dai 001; Fangzhen Lin; Wenjia Bai; Daniel Rueckert; Rossella Arcucci (CoRR, 2025)

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching. - Zhihua Liu; Lei Tong; Xilin He; Che Liu 002; Rossella Arcucci; Chen Jin; Huiyu Zhou 001 (CoRR, 2025)

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study. - Che Liu 002; Jiazhen Pan; Weixiang Shen; Wenjia Bai; Daniel Rueckert; Rossella Arcucci (CoRR, 2025)

Dual form Complementary Masking for Domain-Adaptive Image Segmentation. - Jiawen Wang; Yinda Chen; Xiaoyu Liu 006; Che Liu 002; Dong Liu 002; Jianqing Gao; Zhiwei Xiong (CoRR, 2025)

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. - Jiazhen Pan; Bailiang Jian; Paul Hager; Yundi Zhang; Che Liu 002; Friederike Jungmann; Hongwei Bran Li; Chenyu You; Junde Wu; Jiayuan Zhu; Fenglin Liu; Yuyuan Liu; et al. (CoRR, 2025)

Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning. - Haozhe Wang 002; Qixin Xu; Che Liu 002; Junhong Wu; Fangzhen Lin; Wenhu Chen (CoRR, 2025)

Does DINOv3 Set a New Medical Vision Standard? - Che Liu 002; Yinda Chen; Haoyuan Shi; Jinpeng Lu; Bailiang Jian; Jiazhen Pan; Linghan Cai; Jiayi Wang; Yundi Zhang; Jun Li; Cosmin I. Bercea; Cheng Ouyang; et al. (CoRR, 2025)

Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG. - Jiarui Jin; Xiaocheng Fang; Haoyu Wang; Jun Li; Che Liu 002; Donglin Xie; Hongyan Li 002; Shenda Hong (CoRR, 2025)

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 002; Jieyi Cai; Guangkun Nie; Jun Li; Hongyan Li 002; Shenda Hong (CoRR, 2025)

Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence. - Yi Zhang; Che Liu 002; Xiancong Ren; Hanchu Ni; Shuai Zhang; Zeyuan Ding; Jiayu Hu; Hanzhe Shan; Zhenwei Niu; Zhaoyang Liu 007; Yue Zhao; Junbo Qi; et al. (CoRR, 2025)

Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization. - Yi Zhang; Che Liu 002; Xiancong Ren; Hanchu Ni; Yingji Zhang; Shuai Zhang; Zeyuan Ding; Jiayu Hu; Haozhe Shan; Junbo Qi; Yan Bai; Dengjie Li; et al. (CoRR, 2025)

CogDoc: Towards Unified thinking in Documents. - Qixin Xu; Haozhe Wang 002; Che Liu 002; Fangzhen Lin; Wenhu Chen (CoRR, 2025)

E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence. - Junbo Qi; Yi Zhang; Hanchu Ni; Che Liu 002; Zhimin Yao; Ruilin Yang; Xiancong Ren; Liangjian Wen; Wei Ge; Yuya Ieiri; Osamu Yoshie; Yong Dai 001; et al. (ACL (1), 2026)

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. - Jun Li; Che Liu 002; Wenjia Bai; Mingxuan Liu; Rossella Arcucci; Cosmin I. Bercea; Julia A. Schnabel (WACV, 2026)

MedOpenClaw: Auditable Medical Imaging Agents Reasoning over Uncurated Full Studies. - Weixiang Shen; Yanzhu Hu; Che Liu 002; Junde Wu; Jiayuan Zhu; Chengzhi Shen; Min Xu 009; Yueming Jin; Benedikt Wiestler; Daniel Rueckert; Jiazhen Pan (CoRR, 2026)

Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve. - Weixiang Shen; Bailiang Jian; Jun Li; Che Liu 002; Johannes Moll; Xiaobin Hu; Daniel Rueckert; Hongwei Bran Li; Jiazhen Pan (CoRR, 2026)

Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases. - Jun Li; Mingxuan Liu; Jiazhen Pan; Che Liu 002; Wenjia Bai; Cosmin I. Bercea; Julia A. Schnabel (CoRR, 2026)

Pelican-Unify 1.0: A Unified Embodied Intelligence Model for Understanding, Reasoning, Imagination and Action. - Yi Zhang; Yinda Chen; Che Liu 002; Zeyuan Ding; Jin Xu; Shilong Zou; Junwei Liao; Jiayu Hu; Xiancong Ren; Xiaopeng Zhang; Yechi Liu; Haoyuan Shi; et al. (CoRR, 2026)