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Che Liu
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2020 – today
- 2025
- [j16]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) - 2024
- [j15]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) - [j14]Jianghan Bao, Wen Ming Yu, Kaiqiao Yang, Che Liu, Tie Jun Cui:
Improved Few-Shot SAR Image Generation by Enhancing Diversity. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3394-3408 (2024) - [j13]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024) - [c26]Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song, Xin Zhao, Fuzheng Zhang, Di Zhang, Kun Gai:
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models. ACL (1) 2024: 9729-9750 - [c25]Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen:
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CIKM 2024: 1909-1919 - [c24]Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu:
EvoR: Evolving Retrieval for Code Generation. EMNLP (Findings) 2024: 2538-2554 - [c23]Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan:
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. EMNLP (Findings) 2024: 4065-4078 - [c22]Jiao Ou, Jiayu Wu, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai:
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues. EMNLP 2024: 17402-17431 - [c21]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 - [c20]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP 2024: 8230-8234 - [c19]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 - [c18]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 - [c17]Pengfei Luo, Tong Xu, Che Liu, Suojuan Zhang, Linli Xu, Minglei Li, Enhong Chen:
Bridging Gaps in Content and Knowledge for Multimodal Entity Linking. ACM Multimedia 2024: 9311-9320 - [c16]Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Kun Gai:
DialogBench: Evaluating LLMs as Human-like Dialogue Systems. NAACL-HLT 2024: 6137-6170 - [i38]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) - [i37]Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu:
ARKS: Active Retrieval in Knowledge Soup for Code Generation. CoRR abs/2402.12317 (2024) - [i36]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) - [i35]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) - [i34]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) - [i33]Jiao Ou, Jiayu Wu, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai:
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues. CoRR abs/2404.11095 (2024) - [i32]Xiaoyu Chen, Changde Du, Che Liu, Yizhe Wang, Huiguang He:
Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM. CoRR abs/2405.07840 (2024) - [i31]Che Liu, Changde Du, Xiaoyu Chen, Huiguang He:
Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI. CoRR abs/2405.18726 (2024) - [i30]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) - [i29]Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan:
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. CoRR abs/2406.18139 (2024) - [i28]Kaiqiao Yang, Che Liu, Wenming Yu, Tie Jun Cui:
PointEMRay: A Novel Efficient SBR Framework on Point Based Geometry. CoRR abs/2408.15583 (2024) - [i27]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) - [i26]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) - [i25]Yihong Tang, Jiao Ou, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai:
ERABAL: Enhancing Role-Playing Agents through Boundary-Aware Learning. CoRR abs/2409.14710 (2024) - [i24]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) - [i23]Jun Li, Aaron Aguirre, Junior Moura, Che Liu, Lanhai Zhong, Chenxi Sun, Gari Clifford, M. Brandon Westover, Shenda Hong:
An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains. CoRR abs/2410.04133 (2024) - 2023
- [j12]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) - [j11]Hao Yang, Zihan Yang, Anyong Hu, Che Liu, Tie Jun Cui, Jungang Miao:
Unifying Convolution and Transformer for Efficient Concealed Object Detection in Passive Millimeter-Wave Images. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3872-3887 (2023) - [j10]Hao Yang, Zihan Yang, Anyong Hu, Che Liu, Tie Jun Cui, Jungang Miao:
Source-Free Domain Adaptive Detection of Concealed Objects in Passive Millimeter-Wave Images. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [c15]Che Liu, Changde Du, Huiguang He:
RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning. ICONIP (3) 2023: 227-238 - [c14]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 - [c13]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. MIDL 2023: 402-415 - [c12]Junming Hou, Qi Cao, Ran Ran, Che Liu, Junling Li, Liang-Jian Deng:
Bidomain Modeling Paradigm for Pansharpening. ACM Multimedia 2023: 347-357 - [c11]Jianghan Bao, Wen Ming Yu, Tie Jun Cui, Che Liu:
Programmable Metasurface-Based Beam Forming by Physics-Driven Deep Learning Network. MOCAST 2023: 1-4 - [c10]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 - [i22]Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci:
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. CoRR abs/2301.10171 (2023) - [i21]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) - [i20]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. CoRR abs/2303.12311 (2023) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]Yuchong Sun, Che Liu, Jinwen Huang, Ruihua Song, Fuzheng Zhang, Di Zhang, Zhongyuan Wang, Kun Gai:
Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions. CoRR abs/2310.07301 (2023) - [i13]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) - [i12]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:
OpenAgents: An Open Platform for Language Agents in the Wild. CoRR abs/2310.10634 (2023) - [i11]Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci:
Efficient deep data assimilation with sparse observations and time-varying sensors. CoRR abs/2310.16187 (2023) - [i10]Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Zhongyuan Wang, Kun Gai:
DialogBench: Evaluating LLMs as Human-like Dialogue Systems. CoRR abs/2311.01677 (2023) - [i9]Weiying Lin, Che Liu, Xin Zhang, Zhen Wei, Sizhe Li, Xun Ma:
Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination. CoRR abs/2311.02256 (2023) - [i8]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) - [i7]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) - [i6]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. CoRR abs/2312.03863 (2023) - 2022
- [j9]Che Liu, Yanfeng Tang, Wenjie Yan, Yafang Bai:
Optimizing the Light Source Layout of the Indoor Visible Light Communication System. IEEE Access 10: 27223-27229 (2022) - [j8]Wenjie Yan, Yanfeng Tang, Che Liu, Chen Wang:
Analysis of UV Multiple Scattering Based on Improved MCI-PIS Model. IEEE Access 10: 121784-121790 (2022) - [j7]Che Liu, Yanling Guo:
Flat-Top Line-Shaped Beam Shaping and System Design. Sensors 22(11): 4199 (2022) - [j6]Hao Yang, Dinghao Zhang, Anyong Hu, Che Liu, Tie Jun Cui, Jungang Miao:
Transformer-Based Anchor-Free Detection of Concealed Objects in Passive Millimeter Wave Images. IEEE Trans. Instrum. Meas. 71: 1-16 (2022) - [c9]Che Liu, Rui Wang, Junfeng Jiang, Yongbin Li, Fei Huang:
Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings. EMNLP 2022: 7272-7282 - [i5]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:
Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform. CoRR abs/2205.00280 (2022) - [i4]Che Liu, Rui Wang, Junfeng Jiang, Yongbin Li, Fei Huang:
Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings. CoRR abs/2210.15332 (2022) - 2021
- [j5]Qiao Ru Hong, Qian Ma, Xin Xin Gao, Che Liu, Qiang Xiao, Shahid Iqbal, Tie Jun Cui:
Programmable Amplitude-Coding Metasurface with Multifrequency Modulations. Adv. Intell. Syst. 3(8): 2000260 (2021) - [c8]Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si:
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings. EMNLP (1) 2021: 2396-2406 - [c7]Jacky Liao, Che Liu, Hugh H. T. Liu:
Model Predictive Control for Cooperative Hunting in Obstacle Rich and Dynamic Environments. ICRA 2021: 5089-5095 - [i3]Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si:
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings. CoRR abs/2109.12599 (2021) - 2020
- [j4]Hai-Peng Wang, Yunbo Li, He Li, Shu-Yue Dong, Che Liu, Shi Jin, Tie Jun Cui:
Deep Learning Designs of Anisotropic Metasurfaces in Ultrawideband Based on Generative Adversarial Networks. Adv. Intell. Syst. 2(9): 2000068 (2020) - [c6]Che Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye:
Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time. KDD 2020: 3377-3385 - [c5]Che Liu, Qian Ma, Lianlin Li, Tie Jun Cui:
Work in Progress: Intelligent Metasurface Holograms. NanoCoCoA@SenSys 2020: 45-48 - [i2]Chao Xiong, Che Liu, Zijun Xu, Junfeng Jiang, Jieping Ye:
Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR abs/2005.07923 (2020)
2010 – 2019
- 2019
- [c4]Ziwei Zhao, Yan Piao, Che Liu:
A Study of Disparity Map Based on Improved Dynamic Programming Algorithm. ICCC 2019: 567-571 - [c3]Che Liu, Hengyang Mu, Diansheng Chen, Min Wang:
New Rigid-Soft Coupling Structure and Its Stiffness Adjusting Device. ICIRA (1) 2019: 51-63 - 2018
- [i1]Lianlin Li, Long Gang Wang, Fernando L. Teixeira, Che Liu, Arye Nehorai, Tie Jun Cui:
DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering. CoRR abs/1810.03990 (2018) - 2017
- [j3]Jinwei Guo, Yamiao Cui, Che Liu:
Deadlock Control Based on Capacity Restrictions for FMS. IMA J. Math. Control. Inf. 34(4): 1395-1410 (2017) - [j2]Che Liu, Yanling Guo:
Modeling and Positioning of a PZT Precision Drive System. Sensors 17(11): 2577 (2017) - 2016
- [j1]Zhi Li, Qinke Peng, Che Liu:
Two citation-based indicators to measure latent referential value of papers. Scientometrics 108(3): 1299-1313 (2016) - [c2]Stefano Rinaldi, Franz Bittenbinder, Che Liu, Paolo Bellagente, Lavinia Chiara Tagliabue, Angelo Luigi Camillo Ciribini:
Bi-directional interactions between users and cognitive buildings by means of smartphone app. ISC2 2016: 1-6 - 2011
- [c1]Yashwanth Annpureddy, Che Liu, Georgios Fainekos, Sriram Sankaranarayanan:
S-TaLiRo: A Tool for Temporal Logic Falsification for Hybrid Systems. TACAS 2011: 254-257
Coauthor Index
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