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ORCIDChe Liu 0002
Person information
- affiliation: Imperial College London, London, UK
Other persons with the same name
- Che Liu — disambiguation page
- Che Liu 0001
![[0009-0001-6548-1365]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0001-6548-1365")
— University of Science and Technology of China, Hefei, China - Che Liu 0003 — Changchun University of Science and Technology, Jilin, Changchun, China
- Che Liu 0004 — Southeast University, Nanjing, China
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2020 – today
- 2025
[j7]Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci:
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. Comput. Phys. Commun. 306: 109359 (2025)- [j6]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:
Machine learning for modelling unstructured grid data in computational physics: A review. Inf. Fusion 123: 103255 (2025) - [j5]Jake Lever, Sibo Cheng, César Quilodrán Casas, Che Liu, Hongwei Fan, Robert Platt, Andrianirina Rakotoharisoa, Eleda Johnson, Siyi Li, Zhendan Shang, Rossella Arcucci:
Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm. J. Comput. Sci. 85: 102523 (2025) - [j4]Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci:
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. IEEE Trans. Medical Imaging 44(1): 519-529 (2025) - [j3]Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci:
Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement. IEEE Trans. Neural Networks Learn. Syst. 36(1): 692-703 (2025) - [c12]Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang:
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. ACL (Findings) 2025: 14510-14527 - [c11]Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci:
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? ACL (Findings) 2025: 16401-16421 - [c10]Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci:
Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation. ACL (Findings) 2025: 16448-16460 - [c9]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:
NEXUS-O: An Omni-Perceptive and -Interactive Model for Language, Audio, and Vision. ACM Multimedia 2025: 10787-10796 - [i35]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:
Machine learning for modelling unstructured grid data in computational physics: a review. CoRR abs/2502.09346 (2025) - [i34]Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci:
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. CoRR abs/2502.17900 (2025) - [i33]Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, Rossella Arcucci:
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning. CoRR abs/2502.19668 (2025) - [i32]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:
Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision. CoRR abs/2503.01879 (2025) - [i31]Jun Li, Che Liu, Wenjia Bai, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel:
Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions. CoRR abs/2503.03278 (2025) - [i30]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:
NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI. CoRR abs/2505.14064 (2025) - [i29]Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci:
Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. CoRR abs/2505.17952 (2025) - [i28]Zhihua Liu, Lei Tong, Xilin He, Che Liu, Rossella Arcucci, Chen Jin, Huiyu Zhou:
BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching. CoRR abs/2505.18052 (2025) - [i27]Che Liu, Jiazhen Pan, Weixiang Shen, Wenjia Bai, Daniel Rueckert, Rossella Arcucci:
How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study. CoRR abs/2507.11200 (2025) - [i26]Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel:
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. CoRR abs/2508.04572 (2025) - [i25]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:
Does DINOv3 Set a New Medical Vision Standard? CoRR abs/2509.06467 (2025) - [i24]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:
Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence. CoRR abs/2511.00108 (2025) - [i23]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:
Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization. CoRR abs/2511.16602 (2025) - 2024
- [j2]Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci:
Efficient deep data assimilation with sparse observations and time-varying sensors. J. Comput. Phys. 496: 112581 (2024) - [c8]Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci:
Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training. ICASSP 2024: 1686-1690 - [c7]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP 2024: 8230-8234 - [c6]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. ICML 2024 - [c5]Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong:
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. MICCAI (11) 2024: 124-134 - [c4]Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci:
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. NeurIPS 2024 - [i22]Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci:
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training. CoRR abs/2401.01179 (2024) - [i21]Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang:
Electrocardiogram Instruction Tuning for Report Generation. CoRR abs/2403.04945 (2024) - [i20]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. CoRR abs/2403.06659 (2024) - [i19]Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong:
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. CoRR abs/2403.15992 (2024) - [i18]Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci:
Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. CoRR abs/2406.07146 (2024) - [i17]Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci:
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. CoRR abs/2409.00244 (2024) - [i16]Sicheng Wang, Che Liu, Rossella Arcucci:
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks? CoRR abs/2409.00543 (2024) - [i15]Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I. Bercea, Rossella Arcucci:
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks. CoRR abs/2410.01089 (2024) - [i14]Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Fariba Yousefi, Nikolay Burlutskiy, Rossella Arcucci:
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? CoRR abs/2410.13523 (2024) - [i13]Ziliang Gan, Yu Lu, Dong Zhang, Haohan Li, Che Liu, Jian Liu, Ji Liu, Haipang Wu, Chaoyou Fu, Zenglin Xu, Rongjunchen Zhang, Yong Dai:
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning. CoRR abs/2411.03314 (2024) - 2023
- [j1]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:
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023) - [c3]Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci:
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. MICCAI (1) 2023: 637-647 - [c2]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. MIDL 2023: 402-415 - [c1]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS 2023 - [i12]Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci:
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. CoRR abs/2301.10171 (2023) - [i11]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:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - [i10]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. CoRR abs/2303.12311 (2023) - [i9]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR abs/2305.19894 (2023) - [i8]Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong:
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation. CoRR abs/2306.04811 (2023) - [i7]Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci:
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. CoRR abs/2307.08347 (2023) - [i6]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR abs/2309.07145 (2023) - [i5]Che Liu, Anand Shah, Wenjia Bai, Rossella Arcucci:
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images. CoRR abs/2310.07027 (2023) - [i4]Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci:
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training. CoRR abs/2310.07355 (2023) - [i3]Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci:
Efficient deep data assimilation with sparse observations and time-varying sensors. CoRR abs/2310.16187 (2023) - [i2]Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci:
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. CoRR abs/2312.01522 (2023) - [i1]Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci:
T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR abs/2312.01529 (2023)
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