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ORCIDJie Liu 0044
Person information
- affiliation: City University of Hong Kong, Department of Electrical Engineering, Hong Kong
Other persons with the same name
- Jie Liu — disambiguation page
- Jie Liu 0001
![[0000-0001-6209-6886]](/https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6209-6886")
— Harbin Institute of Technology, AI Research Institute, Harbin, China (and 3 more) - Jie Liu 0002 — National University of Defense Technology, Changsha, China
- Jie Liu 0003 — National University of Singapore, Singapore
- Jie Liu 0004 — Fourth Military Medical University, Tangdu Hospital, Xi'an, China (and 1 more)
- Jie Liu 0005 — University of Paris-Saclay, CentraleSupélec, Chatenay-Malabry, France
- Jie Liu 0006 — University of Washington, Seattle, WA, USA (and 1 more)
- Jie Liu 0007 — Nankai University, Tianjin, China
- Jie Liu 0008 — State Key Laboratory of Computer Science, Beijing, China (and 2 more)
- Jie Liu 0009 — Xi'an University of Science and Technology, College of Science, Xi'an, China (and 1 more)
- Jie Liu 0010 — Huazhong Agriculture University, Wuhan, China
- Jie Liu 0011 — Naval Aeronautical and Astronautical University, Yantai, China
- Jie Liu 0012 — North China University of Technology, Inverter Technologies Engineering Research Center of Beijing, China
- Jie Liu 0013 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China (and 1 more)
- Jie Liu 0014 — Jilin University, College of Computer Science and Technology / MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
- Jie Liu 0015 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China (and 4 more)
- Jie Liu 0016 — China University of Petroleum, College of Computer and Communication Engineering, Qingdao, China
- Jie Liu 0017 — Huazhong University of Science and Technology, School of Hydropower and Information Engineering, Wuhan, China (and 1 more)
- Jie Liu 0018 — University of Notre Dame, Department of Electrical Engineering, Notre Dame, IN, USA
- Jie Liu 0019 — Baicheng Ordnance Test Center of China, Department of Tes, Baicheng, China
- Jie Liu 0020 — University of New South Wales, Sydney, Australia
- Jie Liu 0022 — Capital Normal University, Department of Information Engineering, Beijing, China
- Jie Liu 0023 — Railway Engineering Research Institute, China Academic of Railway Science Corporation Ltd., Beijing, China
- Jie Liu 0024 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jie Liu 0025 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
- Jie Liu 0026 — Western Oregon University, Computer Science Division, Monmouth, OR, USA (and 1 more)
- Jie Liu 0027 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jie Liu 0028 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Jie Liu 0029 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Jie Liu 0030 — National Huaqiao University, College of Computer Science and Technology, Xiamen, China
- Jie Liu 0031 — Xi'an University of Technology, School of Printing Packaging and Digital Media, Xi'an, China (and 1 more)
- Jie Liu 0032 — Chinese Academy of Sciences, Institute of Modern Physics, Lanzhou, China
- Jie Liu 0033 — Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China
- Jie Liu 0034 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Jie Liu 0035 — Peking University, National Engineering Laboratory for Video Technology, Beijing, China
- Jie Liu 0036 — Lehigh University, Department of Industrial and Systems Engineering, Bethlehem, PA, USA
- Jie Liu 0037 — Nanjing ChangFeng Aerospace Electronic Technology Co., Nanjing, China (and 1 more)
- Jie Liu 0038 — Harbin Institute of Technology, School of Computer Science and Technology, Weihai, China
- Jie Liu 0039 — Shenyang Normal University, Software College, China
- Jie Liu 0040 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Jie Liu 0041 — Dalian Medical University, Second Hospital, Department of Anesthesiology, China
- Jie Liu 0042 — Xidian University, School of Electronic Engineering, China
- Jie Liu 0043 — University of Amsterdam, The Netherlands
- Jie Liu 0045 — University of Michigan, Department of Computational Medicine and Bioinformatics, Electrical Engineering and Computer Science, MI, USA (and 1 more)
- Jie Liu 0046 — Monash University, Australia
- Jie Liu 0047 — Chinese University of Hong Kong, CUHK, MMLab, Hong Kong (and 1 more)
2020 – today
- 2025
[j22]Huaqi Zhang, Pengyu Wang, Jie Liu, Jing Qin:
pFedBCC: Personalizing Federated multi-target domain adaptive segmentation via Bi-pole Collaborative Calibration. Comput. Methods Programs Biomed. 263: 108635 (2025)- [j21]Wenting Chen, Jie Liu, Tianming Liu, Yixuan Yuan:
Bi-VLGM: Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation. Int. J. Comput. Vis. 133(3): 1375-1391 (2025) - 2024
- [j20]Yixin Jing, Jie Liu, Weifan Liu, Zhicheng Yang, Zhongwei Zhou, Zekuan Yu:
USCT: Uncertainty-regularized symmetric consistency learning for semi-supervised teeth segmentation in CBCT. Biomed. Signal Process. Control. 91: 106032 (2024) - [j19]Xiaoqing Guo, Jie Liu, Yixuan Yuan:
Infproto-Powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images. Int. J. Comput. Vis. 132(12): 5905-5928 (2024) - [j18]Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography. Medical Image Anal. 97: 103226 (2024) - [j17]Huaqi Zhang, Jie Liu, Weifan Liu, Huang Chen, Zekuan Yu, Yixuan Yuan, Pengyu Wang, Jing Qin:
MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality. IEEE J. Biomed. Health Informatics 28(5): 3003-3014 (2024) - [j16]Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan:
STAR-RL: Spatial-Temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution. IEEE Trans. Medical Imaging 43(12): 4368-4379 (2024) - [j15]Yucheng Tang, Jie Liu, Zongwei Zhou, Xin Yu, Yuankai Huo:
Efficient 3D Representation Learning for Medical Image Analysis. World Sci. Annu. Rev. Artif. Intell. 2: 2450002:1-2450002:27 (2024) - [c14]Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen:
[inline-graphic not available: see fulltext] GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. MICCAI (1) 2024: 525-535 - [i12]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:
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. CoRR abs/2402.11217 (2024) - [i11]Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography. CoRR abs/2405.18356 (2024) - [i10]Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan:
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution. CoRR abs/2406.18310 (2024) - [i9]Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen:
GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. CoRR abs/2408.05502 (2024) - [i8]Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Yihang Su, Kao-Jung Chang, Wenting Chen, Haoliang Li, Linlin Shen, Michael R. Lyu:
Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking. CoRR abs/2412.01605 (2024) - [i7]Xiaofei Huang, Wenting Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen:
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching. CoRR abs/2412.14535 (2024) - 2023
- [j14]Xiao Liu, Hongyi Chen, Chong Yao, Rui Xiang, Kun Zhou, Peng Du, Weifan Liu, Jie Liu, Zekuan Yu:
BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors. Comput. Biol. Medicine 157: 106769 (2023) - [j13]Mengting Liu, Xiaojie Li, Jie Liu, Weifan Liu, Zekuan Yu:
TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion. Comput. Biol. Medicine 166: 107519 (2023) - [j12]Xiao Liu, Chong Yao, Hongyi Chen, Rui Xiang, Hao Wu, Peng Du, Zekuan Yu, Weifan Liu, Jie Liu, Daoying Geng:
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification. Comput. Medical Imaging Graph. 110: 102307 (2023) - [j11]Zekuan Yu, Meijia Li, Jiacheng Yang, Zilong Chen, Huixian Zhang, Weifan Liu, Fang Kai Han, Jie Liu:
A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis. Cogn. Comput. 15(6): 1922-1933 (2023) - [j10]Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan:
Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9846-9861 (2023) - [j9]Yifan Liu, Wuyang Li, Jie Liu, Hui Chen, Yixuan Yuan:
GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation. IEEE Trans. Medical Imaging 42(9): 2776-2786 (2023) - [c13]Wuyang Li, Jie Liu, Bo Han, Yixuan Yuan:
Adjustment and Alignment for Unbiased Open Set Domain Adaptation. CVPR 2023: 24110-24119 - [c12]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:
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. ICCV 2023: 9065-9075 - [c11]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. ICCV 2023: 21095-21107 - [c10]Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou:
AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks. NeurIPS 2023 - [i6]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. CoRR abs/2301.00785 (2023) - [i5]Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou:
Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks. CoRR abs/2305.09666 (2023) - [i4]Wenting Chen, Jie Liu, Yixuan Yuan:
Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation. CoRR abs/2305.12231 (2023) - [i3]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:
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. CoRR abs/2308.11737 (2023) - 2022
- [j8]Yifan Wang, Xiao Liu, Ying Hu, Zekuan Yu, Tianhao Wu, Junjie Wang, Jie Liu, Jun Liu:
Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease. BMC Medical Imaging 22(1): 40 (2022) - [j7]Zhen Chen, Jie Liu, Meilu Zhu, Yat Ming Peter Woo, Yixuan Yuan:
Instance importance-Aware graph convolutional network for 3D medical diagnosis. Medical Image Anal. 78: 102421 (2022) - [j6]Junding Sun, Chong Yao, Jie Liu, Weifan Liu, Zekuan Yu:
GNAS-U2Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search. IEEE Signal Process. Lett. 29: 697-701 (2022) - [j5]Huaqi Zhang, Jie Liu, Pengyu Wang, Zekuan Yu, Weifan Liu, Huang Chen:
Cross-Boosted Multi-Target Domain Adaptation for Multi-Modality Histopathology Image Translation and Segmentation. IEEE J. Biomed. Health Informatics 26(7): 3197-3208 (2022) - [j4]Xiaoqing Guo, Jie Liu, Yixuan Yuan:
Semantic-Oriented Labeled-to-Unlabeled Distribution Translation for Image Segmentation. IEEE Trans. Medical Imaging 41(2): 434-445 (2022) - [j3]Jie Liu, Xiaoqing Guo, Yixuan Yuan:
Graph-Based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge. IEEE Trans. Medical Imaging 41(3): 715-726 (2022) - [c9]Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan:
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation. CVPR 2022: 7022-7031 - [c8]Jie Liu, Xiaoqing Guo, Yixuan Yuan:
Unknown-Oriented Learning for Open Set Domain Adaptation. ECCV (33) 2022: 334-350 - [c7]Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng:
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. ICLR 2022 - [c6]Yifan Liu, Jie Liu, Yixuan Yuan:
Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm Segmentation. MICCAI (5) 2022: 97-106 - [i2]Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan:
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation. CoRR abs/2203.15202 (2022) - [i1]Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng:
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. CoRR abs/2205.07179 (2022) - 2021
- [j2]Junjie Wang, Yuanyuan Yu, Rongyao Yan, Jie Liu, Hao Wu, Daoying Geng, Zekuan Yu:
Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images. Int. J. Comput. Assist. Radiol. Surg. 16(10): 1727-1736 (2021) - [j1]Huaqi Zhang, Jie Liu, Zekuan Yu, Pengyu Wang:
MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification. Neurocomputing 463: 275-291 (2021) - [c5]Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Jingjing Li, Huchuan Lu, Zhongxuan Luo:
Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection. ICCV 2021: 1533-1543 - [c4]Jie Liu, Xiaoqing Guo, Baopu Li, Yixuan Yuan:
COINet: Adaptive Segmentation with Co-Interactive Network for Autonomous Driving. IROS 2021: 4800-4806 - [c3]Wuyang Li, Chen Yang, Jie Liu, Xinyu Liu, Xiaoqing Guo, Yixuan Yuan:
Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data. EndoCV@ISBI 2021: 69-79 - [c2]Jie Liu, Xiaoqing Guo, Yixuan Yuan:
Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation. MICCAI (3) 2021: 272-281 - 2020
- [c1]Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu:
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection. ECCV (28) 2020: 374-390
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