Jie Liu

63 papers A* 10A 1Journal 45Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models.
CoRR
Shaonan Liu, Guo Yu, Xiaoling Luo, Shiyi Zheng, Wenting Chen, Jie Liu, Linlin Shen
2026 A* conf
DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes.
WWW
Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen
2026 J jnl
Enhancing 3D medical multi-modal large language models with integrated human body priors for computed tomography.
Pattern Recognit.
Leilei Zeng, Jie Liu, Wenting Chen, Chenyang Lyu, Wenxi Li, Shaonan Liu, Xiande Zhou, Linlin Shen
2025 — conf
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models.
ACL (1)
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
2025 J jnl
Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models.
CoRR
Zizhan Ma, Wenxuan Wang, Guo Yu, Yiu-Fai Cheung, Meidan Ding, Jie Liu, Wenting Chen, Linlin Shen
2025 J jnl
Bi-VLGM: Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation.
Int. J. Comput. Vis.
Wenting Chen, Jie Liu, Tianming Liu, Yixuan Yuan
2025 A* conf
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching.
AAAI
Xiaofei Huang, Wenting Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen
2025 J jnl
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance.
CoRR
Hui Liu, Wenya Wang, Kecheng Chen, Jie Liu, Yibing Liu, Tiexin Qin, Peisong He, Xinghao Jiang, Haoliang Li
2025 J jnl
Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications.
CoRR
Wenxuan Wang, Zizhan Ma, Meidan Ding, Shiyi Zheng, Shengyuan Liu, Jie Liu, Jiaming Ji, Wenting Chen, Xiang Li, Linlin Shen, Yixuan Yuan
2025 A* conf
Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression.
CVPR
Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li
2025 J jnl
Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression.
CoRR
Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li
2025 J jnl
RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT.
CoRR
Chuyu Zhao, Hao Huang, Jiashuo Guo, Ziyu Shen, Zhongwei Zhou, Jie Liu, Zekuan Yu
2025 J jnl
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates.
CoRR
Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho-fun Lee, Hong Yan, Haoliang Li
2025 J jnl
Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment.
IEEE Trans. Neural Networks Learn. Syst.
Kecheng Chen, Jie Liu, Renjie Wan, Victor Ho-fun Lee, Varut Vardhanabhuti, Hong Yan, Haoliang Li
2025 J jnl
pFedBCC: Personalizing Federated multi-target domain adaptive segmentation via Bi-pole Collaborative Calibration.
Comput. Methods Programs Biomed.
Huaqi Zhang, Pengyu Wang, Jie Liu, Jing Qin
2024 J jnl
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models.
CoRR
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
2024 J jnl
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching.
CoRR
Xiaofei Huang, Wenting Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen
2024 J jnl
Efficient 3D Representation Learning for Medical Image Analysis.
World Sci. Annu. Rev. Artif. Intell.
Yucheng Tang, Jie Liu, Zongwei Zhou, Xin Yu, Yuankai Huo
2024 J jnl
GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph.
CoRR
Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen
2024 J jnl
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.
CoRR
Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, Dayou Chen, Jiajun He, Jiahao Li, Wenyue Li, Chen Zhang, Rongwei Quan, Jianxiang Lu, Jiabin Huang, Xiaoyan Yuan, Xiaoxiao Zheng, Yixuan Li, Jihong Zhang, Chao Zhang, Meng Chen, Jie Liu, Zheng Fang, Weiyan Wang, Jinbao Xue, Yangyu Tao, Jianchen Zhu, Kai Liu, Sihuan Lin, Yifu Sun, Yun Li, Dongdong Wang, Mingtao Chen, Zhichao Hu, Xiao Xiao, Yan Chen, Yuhong Liu, Wei Liu, Di Wang, Yong Yang, Jie Jiang, Qinglin Lu
2024 J jnl
Infproto-Powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images.
Int. J. Comput. Vis.
Xiaoqing Guo, Jie Liu, Yixuan Yuan
2024 J jnl
Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need.
CoRR
Kecheng Chen, Pingping Zhang, Hui Liu, Jie Liu, Yibing Liu, Jiaxin Huang, Shiqi Wang, Hong Yan, Haoliang Li
2024 J jnl
MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality.
IEEE J. Biomed. Health Informatics
Huaqi Zhang, Jie Liu, Weifan Liu, Huang Chen, Zekuan Yu, Yixuan Yuan, Pengyu Wang, Jing Qin
2024 J jnl
Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking.
CoRR
Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Yihang Su, Kao-Jung Chang, Wenting Chen, Haoliang Li, Linlin Shen, Michael R. Lyu
2024 J jnl
STAR-RL: Spatial-Temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution.
IEEE Trans. Medical Imaging
Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan
2024 J jnl
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution.
CoRR
Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan
2024 J jnl
USCT: Uncertainty-regularized symmetric consistency learning for semi-supervised teeth segmentation in CBCT.
Biomed. Signal Process. Control.
Yixin Jing, Jie Liu, Weifan Liu, Zhicheng Yang, Zhongwei Zhou, Zekuan Yu
2024 J jnl
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography.
CoRR
Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
2024 J jnl
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography.
Medical Image Anal.
Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
2024 — conf
💎 GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph.
MICCAI (1)
Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen
2023 J jnl
A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis.
Cogn. Comput.
Zekuan Yu, Meijia Li, Jiacheng Yang, Zilong Chen, Huixian Zhang, Weifan Liu, Fangkai Han, Jie Liu
2023 A* conf
AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks.
NeurIPS
Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou
2023 A* conf
Adjustment and Alignment for Unbiased Open Set Domain Adaptation.
CVPR
Wuyang Li, Jie Liu, Bo Han, Yixuan Yuan
2023 A* conf
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
ICCV
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
2023 J jnl
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
CoRR
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
2023 J jnl
Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks.
CoRR
Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou
2023 J jnl
BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors.
Comput. Biol. Medicine
Xiao Liu, Hongyi Chen, Chong Yao, Rui Xiang, Kun Zhou, Peng Du, Weifan Liu, Jie Liu, Zekuan Yu
2023 J jnl
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification.
Comput. Medical Imaging Graph.
Xiao Liu, Chong Yao, Hongyi Chen, Rui Xiang, Hao Wu, Peng Du, Zekuan Yu, Weifan Liu, Jie Liu, Daoying Geng
2023 J jnl
Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation.
CoRR
Wenting Chen, Jie Liu, Yixuan Yuan
2023 A* conf
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.
ICCV
Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
2023 J jnl
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.
CoRR
Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
2023 J jnl
GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation.
IEEE Trans. Medical Imaging
Yifan Liu, Wuyang Li, Jie Liu, Hui Chen, Yixuan Yuan
2023 J jnl
Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan
2023 J jnl
TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion.
Comput. Biol. Medicine
Mengting Liu, Xiaojie Li, Jie Liu, Weifan Liu, Zekuan Yu
2022 J jnl
Cross-Boosted Multi-Target Domain Adaptation for Multi-Modality Histopathology Image Translation and Segmentation.
IEEE J. Biomed. Health Informatics
Huaqi Zhang, Jie Liu, Pengyu Wang, Zekuan Yu, Weifan Liu, Huang Chen
2022 — conf
Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm Segmentation.
MICCAI (5)
Yifan Liu, Jie Liu, Yixuan Yuan
2022 J jnl
GNAS-U
IEEE Signal Process. Lett.
Junding Sun, Chong Yao, Jie Liu, Weifan Liu, Zekuan Yu
2022 J jnl
Graph-Based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge.
IEEE Trans. Medical Imaging
Jie Liu, Xiaoqing Guo, Yixuan Yuan
2022 J jnl
Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease.
BMC Medical Imaging
Yifan Wang, Xiao Liu, Ying Hu, Zekuan Yu, Tianhao Wu, Junjie Wang, Jie Liu, Jun Liu
2022 J jnl
Instance importance-Aware graph convolutional network for 3D medical diagnosis.
Medical Image Anal.
Zhen Chen, Jie Liu, Meilu Zhu, Yat Ming Peter Woo, Yixuan Yuan
2022 A* conf
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection.
ICLR
Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng
2022 J jnl
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection.
CoRR
Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng
2022 J jnl
Semantic-Oriented Labeled-to-Unlabeled Distribution Translation for Image Segmentation.
IEEE Trans. Medical Imaging
Xiaoqing Guo, Jie Liu, Yixuan Yuan
2022 A* conf
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation.
CVPR
Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan
2022 J jnl
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation.
CoRR
Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan
2022 — conf
Unknown-Oriented Learning for Open Set Domain Adaptation.
ECCV (33)
Jie Liu, Xiaoqing Guo, Yixuan Yuan
2021 A conf
COINet: Adaptive Segmentation with Co-Interactive Network for Autonomous Driving.
IROS
Jie Liu, Xiaoqing Guo, Baopu Li, Yixuan Yuan
2021 J jnl
Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images.
Int. J. Comput. Assist. Radiol. Surg.
Junjie Wang, Yuanyuan Yu, Rongyao Yan, Jie Liu, Hao Wu, Daoying Geng, Zekuan Yu
2021 A* conf
Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection.
ICCV
Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Jingjing Li, Huchuan Lu, Zhongxuan Luo
2021 — conf
Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data.
EndoCV@ISBI
Wuyang Li, Chen Yang, Jie Liu, Xinyu Liu, Xiaoqing Guo, Yixuan Yuan
2021 J jnl
MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification.
Neurocomputing
Huaqi Zhang, Jie Liu, Zekuan Yu, Pengyu Wang
2021 — conf
Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation.
MICCAI (3)
Jie Liu, Xiaoqing Guo, Yixuan Yuan
2020 — conf
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection.
ECCV (28)
Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu