Che Liu

According to our database, Che Liu authored at least 66 papers between 2011 and 2025.

Collaborative distances:

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

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

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

Improved Few-Shot SAR Image Generation by Enhancing Diversity.

Jianghan Bao, Wen Ming Yu, Kaiqiao Yang, Che Liu, Tie Jun Cui

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

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

Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Fariba Yousefi, Nikolay Burlutskiy, 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, Lanhai Zhong, Chenxi Sun, Gari 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

ERABAL: Enhancing Role-Playing Agents through Boundary-Aware Learning.

Yihong Tang, Jiao Ou, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai

CoRR, 2024

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

Sicheng Wang, Che Liu, Rossella Arcucci

CoRR, 2024

PointEMRay: A Novel Efficient SBR Framework on Point Based Geometry.

Kaiqiao Yang, Che Liu, Wenming Yu, Tie Jun Cui

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

Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI.

Che Liu, Changde Du, Xiaoyu Chen, Huiguang He

CoRR, 2024

Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM.

Xiaoyu Chen, Changde Du, Che Liu, Yizhe Wang, Huiguang He

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

ARKS: Active Retrieval in Knowledge Soup for Code Generation.

Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu

CoRR, 2024

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.

Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Kun Gai

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Bridging Gaps in Content and Knowledge for Multimodal Entity Linking.

Pengfei Luo, Tong Xu, Che Liu, Suojuan Zhang, Linli Xu, Minglei Li, Enhong Chen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 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

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference.

Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

EvoR: Evolving Retrieval for Code Generation.

Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues.

Jiao Ou, Jiayu Wu, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.

Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models.

Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song, Xin Zhao, Fuzheng Zhang, Di Zhang, Kun Gai

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Unifying Convolution and Transformer for Efficient Concealed Object Detection in Passive Millimeter-Wave Images.

Hao Yang, Zihan Yang, Anyong Hu, Che Liu, Tie Jun Cui, Jungang Miao

IEEE Trans. Circuits Syst. Video Technol., August, 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

Source-Free Domain Adaptive Detection of Concealed Objects in Passive Millimeter-Wave Images.

Hao Yang, Zihan Yang, Anyong Hu, Che Liu, Tie Jun Cui, Jungang Miao

IEEE Trans. Instrum. Meas., 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

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

CoRR, 2023

Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination.

Weiying Lin, Che Liu, Xin Zhang, Zhen Wei, Sizhe Li, Xun Ma

CoRR, 2023

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.

Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Zhongyuan Wang, Kun Gai

CoRR, 2023

OpenAgents: An Open Platform for Language Agents in the Wild.

Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu

CoRR, 2023

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

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

CoRR, 2023

Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions.

Yuchong Sun, Che Liu, Jinwen Huang, Ruihua Song, Fuzheng Zhang, Di Zhang, Zhongyuan Wang, Kun Gai

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

Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement.

Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci

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

Programmable Metasurface-Based Beam Forming by Physics-Driven Deep Learning Network.

Jianghan Bao, Wen Ming Yu, Tie Jun Cui, Che Liu

Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

Bidomain Modeling Paradigm for Pansharpening.

Junming Hou, Qi Cao, Ran Ran, Che Liu, Junling Li, Liang-Jian Deng

Proceedings of the 31st ACM International Conference on Multimedia, 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

RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning.

Che Liu, Changde Du, Huiguang He

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Transformer-Based Anchor-Free Detection of Concealed Objects in Passive Millimeter Wave Images.

Hao Yang, Dinghao Zhang, Anyong Hu, Che Liu, Tie Jun Cui, Jungang Miao

IEEE Trans. Instrum. Meas., 2022

Flat-Top Line-Shaped Beam Shaping and System Design.

Che Liu, Yanling Guo

Sensors, 2022

Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform.

Qian Ma, Wei Gao, Qiang Xiao, Lingsong Ding, Tianyi Gao, Yajun Zhou, Xinxin Gao, Tao Yan, Che Liu, Ze Gu, Xianghong Kong, Qammer H. Abbasi, Lianlin Li, Cheng-Wei Qiu, Yuanqing Li, Tie Jun Cui

CoRR, 2022

Analysis of UV Multiple Scattering Based on Improved MCI-PIS Model.

Wenjie Yan, Yanfeng Tang, Che Liu, Chen Wang

IEEE Access, 2022

Optimizing the Light Source Layout of the Indoor Visible Light Communication System.

Che Liu, Yanfeng Tang, Wenjie Yan, Yafang Bai

IEEE Access, 2022

Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings.

Che Liu, Rui Wang, Junfeng Jiang, Yongbin Li, Fei Huang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Programmable Amplitude-Coding Metasurface with Multifrequency Modulations.

Qiao Ru Hong, Qian Ma, Xin Xin Gao, Che Liu, Qiang Xiao, Shahid Iqbal, Tie Jun Cui

Adv. Intell. Syst., 2021

Model Predictive Control for Cooperative Hunting in Obstacle Rich and Dynamic Environments.

Jacky Liao, Che Liu, Hugh H. T. Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings.

Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots.

Chao Xiong, Che Liu, Zijun Xu, Junfeng Jiang, Jieping Ye

CoRR, 2020

Deep Learning Designs of Anisotropic Metasurfaces in Ultrawideband Based on Generative Adversarial Networks.

Hai-Peng Wang, Yunbo Li, He Li, Shu-Yue Dong, Che Liu, Shi Jin, Tie Jun Cui

Adv. Intell. Syst., 2020

Work in Progress: Intelligent Metasurface Holograms.

Che Liu, Qian Ma, Lianlin Li, Tie Jun Cui

Proceedings of the NanoCoCoA@SenSys '20: Proceedings of the 1st ACM International Workshop on Nanoscale Computing, 2020

Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time.

Che Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

New Rigid-Soft Coupling Structure and Its Stiffness Adjusting Device.

Che Liu, Hengyang Mu, Diansheng Chen, Min Wang

Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

A Study of Disparity Map Based on Improved Dynamic Programming Algorithm.

Ziwei Zhao, Yan Piao, Che Liu

Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

2018

DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering.

Lianlin Li, Long Gang Wang, Fernando L. Teixeira, Che Liu, Arye Nehorai, Tie Jun Cui

CoRR, 2018

2017

Modeling and Positioning of a PZT Precision Drive System.

Che Liu, Yanling Guo

Sensors, 2017

Deadlock Control Based on Capacity Restrictions for FMS.

Jinwei Guo, Yamiao Cui, Che Liu

IMA J. Math. Control. Inf., 2017

2016

Two citation-based indicators to measure latent referential value of papers.

Zhi Li, Qinke Peng, Che Liu

Scientometrics, 2016

Bi-directional interactions between users and cognitive buildings by means of smartphone app.

Stefano Rinaldi, Franz Bittenbinder, Che Liu, Paolo Bellagente, Lavinia Chiara Tagliabue, Angelo Luigi Camillo Ciribini

Proceedings of the IEEE International Smart Cities Conference, 2016

2011

S-TaLiRo: A Tool for Temporal Logic Falsification for Hybrid Systems.

Yashwanth Annpureddy, Che Liu, Georgios Fainekos, Sriram Sankaranarayanan

Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2011