Jie Liu

According to our database, Jie Liu authored at least 53 papers between 2020 and 2025.

Collaborative distances:

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

2025

Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models.

Zizhan Ma, Wenxuan Wang, Guo Yu, Yiu-Fai Cheung, Meidan Ding, Jie Liu, Wenting Chen, Linlin Shen

CoRR, August, 2025

Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications.

Wenxuan Wang, Zizhan Ma, Meidan Ding, Shiyi Zheng, Shengyuan Liu, Jie Liu, Jiaming Ji, Wenting Chen, Xiang Li, Linlin Shen, Yixuan Yuan

CoRR, August, 2025

Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment.

Kecheng Chen, Jie Liu, Renjie Wan, Victor Ho-fun Lee, Varut Vardhanabhuti, Hong Yan, Haoliang Li

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

RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT.

Chuyu Zhao, Hao Huang, Jiashuo Guo, Ziyu Shen, Zhongwei Zhou, Jie Liu, Zekuan Yu

CoRR, May, 2025

Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates.

Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho-fun Lee, Hong Yan, Haoliang Li

CoRR, April, 2025

Bi-VLGM: Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation.

Wenting Chen, Jie Liu, Tianming Liu, Yixuan Yuan

Int. J. Comput. Vis., March, 2025

Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance.

Hui Liu, Wenya Wang, Kecheng Chen, Jie Liu, Yibing Liu, Tiexin Qin, Peisong He, Xinghao Jiang, Haoliang Li

CoRR, March, 2025

pFedBCC: Personalizing Federated multi-target domain adaptive segmentation via Bi-pole Collaborative Calibration.

Huaqi Zhang, Pengyu Wang, Jie Liu, Jing Qin

Comput. Methods Programs Biomed., 2025

Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression.

Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models.

Jie Liu, Wenxuan Wang, Yihang Su, Jingyuan Huang, Yudi Zhang, Cheng-Yi Li, Wenting Chen, Xiaohan Xing, Kao-Jung Chang, Linlin Shen, Michael R. Lyu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching.

Xiaofei Huang, Wenting Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

STAR-RL: Spatial-Temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution.

Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan

IEEE Trans. Medical Imaging, December, 2024

Infproto-Powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images.

Xiaoqing Guo, Jie Liu, Yixuan Yuan

Int. J. Comput. Vis., December, 2024

MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality.

Huaqi Zhang, Jie Liu, Weifan Liu, Huang Chen, Zekuan Yu, Yixuan Yuan, Pengyu Wang, Jing Qin

IEEE J. Biomed. Health Informatics, May, 2024

Efficient 3D Representation Learning for Medical Image Analysis.

Yucheng Tang, Jie Liu, Zongwei Zhou, Xin Yu, Yuankai Huo

World Sci. Annu. Rev. Artif. Intell., 2024

Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography.

Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou

Medical Image Anal., 2024

Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking.

Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Yihang Su, Kao-Jung Chang, Wenting Chen, Haoliang Li, Linlin Shen, Michael R. Lyu

CoRR, 2024

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need.

Kecheng Chen, Pingping Zhang, Hui Liu, Jie Liu, Yibing Liu, Jiaxin Huang, Shiqi Wang, Hong Yan, Haoliang Li

CoRR, 2024

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent.

Xingwu Sun, Yanfeng Chen, Yiqing Huang, Ruobing Xie, Jiaqi Zhu, Kai Zhang, Shuaipeng Li, Zhen Yang, Jonny Han, Xiaobo Shu, Jiahao Bu, Zhongzhi Chen, Xuemeng Huang, Fengzong Lian, Saiyong Yang, Jianfeng Yan, Yuyuan Zeng, Xiaoqin Ren, Chao Yu, Lulu Wu, Yue Mao, Jun Xia, Tao Yang, Suncong Zheng, Kan Wu, Dian Jiao, Jinbao Xue, Xipeng Zhang, Decheng Wu, Kai Liu, Dengpeng Wu, Guanghui Xu, Shaohua Chen, Shuang Chen, Xiao Feng, Yigeng Hong, Junqiang Zheng, Chengcheng Xu, Zongwei Li, Xiong Kuang, Jianglu Hu, Yiqi Chen, Yuchi Deng, Guiyang Li, Ao Liu, Chenchen Zhang, Shihui Hu, Zilong Zhao, Zifan Wu, Yao Ding, Weichao Wang, Han Liu, Roberts Wang, Hao Fei, Peijie Yu, Ze Zhao, Xun Cao, Hai Wang, Fusheng Xiang, Mengyuan Huang, Zhiyuan Xiong, Bin Hu, Xuebin Hou, Lei Jiang, Jianqiang Ma, Jiajia Wu, Yaping Deng, Yi Shen, Qian Wang, Weijie Liu, Jie Liu, Meng Chen, Liang Dong, Weiwen Jia, Hu Chen, Feifei Liu, Rui Yuan, Huilin Xu, Zhenxiang Yan, Tengfei Cao, Zhichao Hu, Xinhua Feng, Dong Du, Tinghao Yu, Yangyu Tao, Feng Zhang, Jianchen Zhu, Chengzhong Xu, Xirui Li, Chong Zha, Wen Ouyang, Yinben Xia, Xiang Li, Zekun He, Rongpeng Chen, Jiawei Song, Ruibin Chen, Fan Jiang, Chongqing Zhao, Bo Wang

CoRR, 2024

GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph.

Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen

CoRR, 2024

Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution.

Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan

CoRR, 2024

Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models.

Wenxuan Wang, Yihang Su, Jingyuan Huan, Jie Liu, Wenting Chen, Yudi Zhang, Cheng-Yi Li, Kao-Jung Chang, Xiaohan Xin, Linlin Shen, Michael R. Lyu

CoRR, 2024

USCT: Uncertainty-regularized symmetric consistency learning for semi-supervised teeth segmentation in CBCT.

Yixin Jing, Jie Liu, Weifan Liu, Zhicheng Yang, Zhongwei Zhou, Zekuan Yu

Biomed. Signal Process. Control., 2024

[inline-graphic not available: see fulltext] GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph.

Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen

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

2023

BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification.

Xiao Liu, Chong Yao, Hongyi Chen, Rui Xiang, Hao Wu, Peng Du, Zekuan Yu, Weifan Liu, Jie Liu, Daoying Geng

Comput. Medical Imaging Graph., December, 2023

A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis.

Zekuan Yu, Meijia Li, Jiacheng Yang, Zilong Chen, Huixian Zhang, Weifan Liu, Fang Kai Han, Jie Liu

Cogn. Comput., November, 2023

TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion.

Mengting Liu, Xiaojie Li, Jie Liu, Weifan Liu, Zekuan Yu

Comput. Biol. Medicine, November, 2023

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation.

Yifan Liu, Wuyang Li, Jie Liu, Hui Chen, Yixuan Yuan

IEEE Trans. Medical Imaging, September, 2023

Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation.

Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors.

Xiao Liu, Hongyi Chen, Chong Yao, Rui Xiang, Kun Zhou, Peng Du, Weifan Liu, Jie Liu, Zekuan Yu

Comput. Biol. Medicine, May, 2023

Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation.

Wenting Chen, Jie Liu, Yixuan Yuan

CoRR, 2023

Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks.

Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou

CoRR, 2023

AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks.

Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou

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

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.

Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan L. Yuille, Adam Kortylewski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.

Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adjustment and Alignment for Unbiased Open Set Domain Adaptation.

Wuyang Li, Jie Liu, Bo Han, Yixuan Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Graph-Based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge.

Jie Liu, Xiaoqing Guo, Yixuan Yuan

IEEE Trans. Medical Imaging, 2022

Semantic-Oriented Labeled-to-Unlabeled Distribution Translation for Image Segmentation.

Xiaoqing Guo, Jie Liu, Yixuan Yuan

IEEE Trans. Medical Imaging, 2022

Cross-Boosted Multi-Target Domain Adaptation for Multi-Modality Histopathology Image Translation and Segmentation.

Huaqi Zhang, Jie Liu, Pengyu Wang, Zekuan Yu, Weifan Liu, Huang Chen

IEEE J. Biomed. Health Informatics, 2022

GNAS-U²Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search.

Junding Sun, Chong Yao, Jie Liu, Weifan Liu, Zekuan Yu

IEEE Signal Process. Lett., 2022

Instance importance-Aware graph convolutional network for 3D medical diagnosis.

Zhen Chen, Jie Liu, Meilu Zhu, Yat Ming Peter Woo, Yixuan Yuan

Medical Image Anal., 2022

Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease.

Yifan Wang, Xiao Liu, Ying Hu, Zekuan Yu, Tianhao Wu, Junjie Wang, Jie Liu, Jun Liu

BMC Medical Imaging, 2022

Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm Segmentation.

Yifan Liu, Jie Liu, Yixuan Yuan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection.

Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng

Proceedings of the Tenth International Conference on Learning Representations, 2022

Unknown-Oriented Learning for Open Set Domain Adaptation.

Jie Liu, Xiaoqing Guo, Yixuan Yuan

Proceedings of the Computer Vision - ECCV 2022, 2022

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation.

Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification.

Huaqi Zhang, Jie Liu, Zekuan Yu, Pengyu Wang

Neurocomputing, 2021

Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images.

Junjie Wang, Yuanyuan Yu, Rongyao Yan, Jie Liu, Hao Wu, Daoying Geng, Zekuan Yu

Int. J. Comput. Assist. Radiol. Surg., 2021

Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation.

Jie Liu, Xiaoqing Guo, Yixuan Yuan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data.

Wuyang Li, Chen Yang, Jie Liu, Xinyu Liu, Xiaoqing Guo, Yixuan Yuan

Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021

COINet: Adaptive Segmentation with Co-Interactive Network for Autonomous Driving.

Jie Liu, Xiaoqing Guo, Baopu Li, Yixuan Yuan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection.

Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Jingjing Li, Huchuan Lu, Zhongxuan Luo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection.

Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu

Proceedings of the Computer Vision - ECCV 2020, 2020