Che Liu

According to our database, Che Liu authored at least 59 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Pelican-Unify 1.0: A Unified Embodied Intelligence Model for Understanding, Reasoning, Imagination and Action.

Yi Zhang, Yinda Chen, Che Liu, Zeyuan Ding, Jin Xu, Shilong Zou, Junwei Liao, Jiayu Hu, Xiancong Ren, Xiaopeng Zhang, Yechi Liu, Haoyuan Shi, Zecong Tang, Haosong Sun, Renwen Cui, Kuishu Wu, Wenhai Liu, Yang Xu, Yingji Zhang, Yidong Wang, Senkang Hu, Jinpeng Lu, Nga Teng Chan, Yechen Wu, Zeting Liu, Xianzhou Hou, Yong Dai, Jian Tang, Xiaozhu Ju

CoRR, May, 2026

Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases.

Jun Li, Mingxuan Liu, Jiazhen Pan, Che Liu, Wenjia Bai, Cosmin I. Bercea, Julia A. Schnabel

CoRR, April, 2026

Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve.

Weixiang Shen, Bailiang Jian, Jun Li, Che Liu, Johannes Moll, Xiaobin Hu, Daniel Rueckert, Hongwei Bran Li, Jiazhen Pan

CoRR, April, 2026

MedOpenClaw: Auditable Medical Imaging Agents Reasoning over Uncurated Full Studies.

Weixiang Shen, Yanzhu Hu, Che Liu, Junde Wu, Jiayuan Zhu, Chengzhi Shen, Min Xu, Yueming Jin, Benedikt Wiestler, Daniel Rueckert, Jiazhen Pan

CoRR, March, 2026

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding.

Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

CogDoc: Towards Unified thinking in Documents.

Qixin Xu, Haozhe Wang, Che Liu, Fangzhen Lin, Wenhu Chen

CoRR, December, 2025

Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization.

Yi Zhang, Che Liu, Xiancong Ren, Hanchu Ni, Yingji Zhang, Shuai Zhang, Zeyuan Ding, Jiayu Hu, Haozhe Shan, Junbo Qi, Yan Bai, Dengjie Li, Jiachen Luo, Yidong Wang, Yong Dai, Zenglin Xu, Bin Shen, Qifan Wang, Jian Tang, Xiaozhu Ju

CoRR, November, 2025

Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence.

Yi Zhang, Che Liu, Xiancong Ren, Hanchu Ni, Shuai Zhang, Zeyuan Ding, Jiayu Hu, Hanzhe Shan, Zhenwei Niu, Zhaoyang Liu, Yue Zhao, Junbo Qi, Qinfan Zhang, Dengjie Li, Yidong Wang, Jiachen Luo, Yong Dai, Jian Tang, Xiaozhu Ju

CoRR, November, 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, Jieyi Cai, Guangkun Nie, Jun Li, Hongyan Li, Shenda Hong

CoRR, September, 2025

Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG.

Jiarui Jin, Xiaocheng Fang, Haoyu Wang, Jun Li, Che Liu, Donglin Xie, Hongyan Li, Shenda Hong

CoRR, September, 2025

Does DINOv3 Set a New Medical Vision Standard?

Che Liu, Yinda Chen, Haoyuan Shi, Jinpeng Lu, Bailiang Jian, Jiazhen Pan, Linghan Cai, Jiayi Wang, Yundi Zhang, Jun Li, Cosmin I. Bercea, Cheng Ouyang, Chen Chen, Zhiwei Xiong, Benedikt Wiestler, Christian Wachinger, Daniel Rueckert, Wenjia Bai, Rossella Arcucci

CoRR, September, 2025

Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning.

Haozhe Wang, Qixin Xu, Che Liu, Junhong Wu, Fangzhen Lin, Wenhu Chen

CoRR, September, 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, Friederike Jungmann, Hongwei Bran Li, Chenyu You, Junde Wu, Jiayuan Zhu, Fenglin Liu, Yuyuan Liu, Niklas Bubeck, Christian Wachinger, Chen Chen, Zhenyu Gong, Cheng Ouyang, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert

CoRR, August, 2025

Dual form Complementary Masking for Domain-Adaptive Image Segmentation.

Jiawen Wang, Yinda Chen, Xiaoyu Liu, Che Liu, Dong Liu, Jianqing Gao, Zhiwei Xiong

CoRR, July, 2025

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study.

Che Liu, Jiazhen Pan, Weixiang Shen, Wenjia Bai, Daniel Rueckert, Rossella Arcucci

CoRR, July, 2025

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching.

Zhihua Liu, Lei Tong, Xilin He, Che Liu, Rossella Arcucci, Chen Jin, Huiyu Zhou

CoRR, May, 2025

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

CoRR, May, 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, Wenjia Bai, Bernhard Kainz, Julia A. Schnabel, Benedikt Wiestler

CoRR, May, 2025

Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions.

Jun Li, Che Liu, Wenjia Bai, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel

CoRR, March, 2025

Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision.

Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Haohan Li, Yu Lu, Shilin Zhou, Yue Lu, Ziliang Gan, Ziao Wang, Junwei Liao, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai

CoRR, March, 2025

Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement.

Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci

IEEE Trans. Neural Networks Learn. Syst., January, 2025

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training.

Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci

IEEE Trans. Medical Imaging, January, 2025

Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond.

Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen, Daniel Rueckert, Jiazhen Pan

Medical Image Anal., 2025

Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm.

Jake Lever, Sibo Cheng, César Quilodrán Casas, Che Liu, Hongwei Fan, Robert Platt, Andrianirina Rakotoharisoa, Eleda Johnson, Siyi Li, Zhendan Shang, Rossella Arcucci

J. Comput. Sci., 2025

Machine learning for modelling unstructured grid data in computational physics: A review.

Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci

Inf. Fusion, 2025

TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions.

Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci

Comput. Phys. Commun., 2025

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning.

Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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, Wenjia Bai, Bernhard Kainz, Julia A. Schnabel, Benedikt Wiestler

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference.

Zhongwei Wan, Hui Shen, Xin Wang, Che Liu, Zheda Mai, Mi Zhang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

NEXUS-O: An Omni-Perceptive and -Interactive Model for Language, Audio, and Vision.

Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Yu Lu, Shilin Zhou, Ziliang Gan, Ziao Wang, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation.

Jiawen Wang, Yinda Chen, Xiaoyu Liu, Che Liu, Dong Liu, Jianqing Gao, Zhiwei Xiong

Proceedings of the Forty-second International Conference on Machine Learning, 2025

T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency.

Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

GTGM: Generative Text-Guided 3D Vision-Language Pretraining for Medical Image Segmentation.

Yinda Chen, Che Liu, Wei Huang, Xiaoyu Liu, Haoyuan Shi, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs.

Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning.

Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation.

Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation.

Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?

Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Efficient deep data assimilation with sparse observations and time-varying sensors.

Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci

J. Comput. Phys., January, 2024

Efficient Large Language Models: A Survey.

Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

Trans. Mach. Learn. Res., 2024

MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning.

Ziliang Gan, Yu Lu, Dong Zhang, Haohan Li, Che Liu, Jian Liu, Ji Liu, Haipang Wu, Chaoyou Fu, Zenglin Xu, Rongjunchen Zhang, Yong Dai

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, Lanhai Zhong, Chenxi Sun, Gari D. Clifford, M. Brandon Westover, Shenda Hong

CoRR, 2024

FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks.

Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I. Bercea, Rossella Arcucci

CoRR, 2024

How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?

Sicheng Wang, Che Liu, Rossella Arcucci

CoRR, 2024

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images.

Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci

CoRR, 2024

Electrocardiogram Instruction Tuning for Report Generation.

Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang

CoRR, 2024

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training.

Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval.

Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement.

Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training.

Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci

Proceedings of the IEEE International Conference on Acoustics, 2024

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training.

Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci

Proceedings of the IEEE International Conference on Acoustics, 2024

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, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci

IEEE CAA J. Autom. Sinica, June, 2023

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training.

Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images.

Che Liu, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation.

Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong

CoRR, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.

Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Frozen Language Model Helps ECG Zero-Shot Learning.

Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong

Proceedings of the Medical Imaging with Deep Learning, 2023

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.

Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023