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Jiang Tian
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2020 – today
- 2024
- [j11]Yixin Wang
, Zihao Lin, Zhe Xu
Trust it or not: Confidence-guided automatic radiology report generation. Neurocomputing 578: 127374 (2024) - [j10]Yang Liu
A Survey of Visual Transformers. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7478-7498 (2024) - [i20]Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong, Yulun Zhang, Xiaokang Yang:
ARB-LLM: Alternating Refined Binarizations for Large Language Models. CoRR abs/2410.03129 (2024) - 2023
- [c40]Yaohui Zhu, Linhu Liu, Jiang Tian:
Learn More for Food Recognition via Progressive Self-Distillation. AAAI 2023: 3879-3887 - [c39]Dong Xie, Linhu Liu, Shengjun Zhang, Jiang Tian:
A Unified Multi-modal Structure for Retrieving Tracked Vehicles through Natural Language Descriptions. CVPR Workshops 2023: 5419-5427 - [c38]Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CVPR 2023: 15539-15547 - [c37]Xinda Liu
Feature-Suppressed Contrast for Self-Supervised Food Pre-training. ACM Multimedia 2023: 4359-4367 - [i19]Fanglan Zheng, Menghan Wang, Kun Li, Jiang Tian, Xiaojia Xiang:
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling. CoRR abs/2302.01563 (2023) - [i18]Yaohui Zhu, Linhu Liu, Jiang Tian:
Learn More for Food Recognition via Progressive Self-Distillation. CoRR abs/2303.05073 (2023) - [i17]Xinda Liu, Yaohui Zhu, Linhu Liu, Jiang Tian, Lili Wang:
Feature-Suppressed Contrast for Self-Supervised Food Pre-training. CoRR abs/2308.03272 (2023) - [i16]Zheng Wang, Dong Xie, Hanzhi Wang, Jiang Tian:
An Effective Two-stage Training Paradigm Detector for Small Dataset. CoRR abs/2309.05652 (2023) - [i15]Kun Li, Jiang Tian, Xiaojia Xiang:
A New Transformation Approach for Uplift Modeling with Binary Outcome. CoRR abs/2310.05549 (2023) - 2022
- [c36]Yixin Wang, Zhe Xu, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He:
Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation. ICASSP 2022: 1086-1090 - [c35]Linhu Liu, Jiang Tian, Xiangqian Cheng, Zhongchao Shi, Jianping Fan, Yong Rui:
Semi-Supervised 3D Medical Image Segmentation Via Boundary-Aware Consistent Hidden Representation Learning. ICIP 2022: 836-840 - [c34]Linhu Liu, Jiang Tian, Zhongchao Shi, Jianping Fan:
Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning. PRCV (2) 2022: 323-335 - [i14]Yao Zhang, Jiawei Yang, Yang Liu, Jiang Tian, Siyun Wang, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images. CoRR abs/2205.13199 (2022) - [i13]Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CoRR abs/2211.02006 (2022) - 2021
- [j9]Yixin Wang
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation. Comput. Methods Programs Biomed. 202: 106004 (2021) - [j8]Nicholas Heller
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. 67: 101821 (2021) - [c33]Yang Lv, Shiming Sun, Qi Zhao, Jiang Tian, Chun Li:
Research on Intelligent Identification Method of Power Grid Missing Data Based on Improved Generation Countermeasure Network with Multi-dimensional Feature Analysis. ICBDS 2021: 696-706 - [c32]Yanan Wei, Jiang Tian, Cheng Zhong, Zhongchao Shi:
AKFNET: An Anatomical Knowledge Embedded Few-Shot Network For Medical Image Segmentation. ICIP 2021: 11-15 - [c31]Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He:
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities. MICCAI (7) 2021: 410-420 - [c30]Yao Zhang
Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation. MICCAI (1) 2021: 589-599 - [i12]Yixin Wang, Zihao Lin, Jiang Tian, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He:
Confidence-Guided Radiology Report Generation. CoRR abs/2106.10887 (2021) - [i11]Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He:
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities. CoRR abs/2106.14591 (2021) - [i10]Yao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation. CoRR abs/2107.09842 (2021) - [i9]Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
A Survey of Visual Transformers. CoRR abs/2111.06091 (2021) - 2020
- [j7]Zhengguang Zhu
Two-Stage Coordinated Control Strategy of AC/DC Hybrid Power System Based on Steady-State Security Region. IEEE Access 8: 139221-139243 (2020) - [c29]Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Pairing Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 230-240 - [c28]Yao Zhang
DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume. ICPR 2020: 7796-7803 - [c27]Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He:
FGB: Feature Guidance Branch for Organ Detection in Medical Images. ISBI 2020: 349-353 - [c26]Li Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Feiyu Xu:
Robust hepatic vessels segmentation model based on noisy dataset. Computer-Aided Diagnosis 2020 - [c25]Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. M&Ms and EMIDEC/STACOM@MICCAI 2020: 219-227 - [c24]Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Double-Uncertainty Weighted Method for Semi-supervised Learning. MICCAI (1) 2020: 542-551 - [i8]Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation. CoRR abs/2006.13877 (2020) - [i7]Kun Li, Fanglan Zheng, Jiang Tian, Xiaojia Xiang:
A Federated F-score Based Ensemble Model for Automatic Rule Extraction. CoRR abs/2007.03533 (2020) - [i6]Fanglan Zheng, Erihe, Kun Li, Jiang Tian, Xiaojia Xiang:
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring. CoRR abs/2009.06218 (2020) - [i5]Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Pairing Learning for Brain Tumor Segmentation. CoRR abs/2010.09277 (2020) - [i4]Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Double-Uncertainty Weighted Method for Semi-supervised Learning. CoRR abs/2010.09298 (2020) - [i3]Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. CoRR abs/2012.14785 (2020)
2010 – 2019
- 2019
- [c23]Jiang Tian, Cheng Zhong, Zhongchao Shi, Feiyu Xu:
Towards Automatic Diagnosis from Multi-modal Medical Data. iMIMIC/ML-CDS@MICCAI 2019: 67-74 - [c22]Jiang Tian, Li Liu, Zhongchao Shi, Feiyu Xu:
Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNet. MLMI@MICCAI 2019: 274-282 - [i2]Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong:
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes. CoRR abs/1910.02235 (2019) - [i1]Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR abs/1912.01054 (2019) - 2018
- [c21]Jiang Tian, Cong Li, Zhongchao Shi, Feiyu Xu:
A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention Mechanism. MICCAI (2) 2018: 702-710 - 2017
- [c20]Jin-Miao Liu, Jiang Tian, Zhu-Xi Cai, Yue Zhou, Ren-Hua Luo, Ran-Ran Wang:
A hybrid semi-supervised approach for financial fraud detection. ICMLC 2017: 217-222 - 2016
- [c19]Kangying Cai, Wenfei Jiang, Tao Luo, Jiang Tian:
Pattern-based 3D model compression. ICASSP 2016: 2872-2876 - 2014
- [c18]Wenfei Jiang, Tao Luo, Fan Zhang, Jiang Tian, Pei Luo, Kangying Cai:
Generic 2D/3D smoothing via regional variation. ICASSP 2014: 549-553 - 2012
- [j6]Jiang Tian, Wenfei Jiang, Tao Luo, Kangying Cai, Jingliang Peng, Wencheng Wang:
Adaptive coding of generic 3D triangular meshes based on octree decomposition. Vis. Comput. 28(6-8): 819-827 (2012) - [c17]Wenfei Jiang, Jiang Tian, Kangying Cai, Fan Zhang, Tao Luo:
Efficient Progressive Compression of 3D Points by Maximizing Tangent-Plane Continuity. DCC 2012: 398 - [c16]Wenfei Jiang, Jiang Tian, Kangying Cai, Fan Zhang, Tao Luo:
Tangent-plane-continuity maximization based 3D point compression. ICIP 2012: 1277-1280 - 2011
- [j5]Jiang Tian, Hong Gu, Wenqi Liu, Chiyang Gao:
Robust prediction of protein subcellular localization combining PCA and WSVMs. Comput. Biol. Medicine 41(8): 648-652 (2011) - [j4]Jiang Tian, Hong Gu, Wenqi Liu:
Imbalanced classification using support vector machine ensemble. Neural Comput. Appl. 20(2): 203-209 (2011) - [c15]Yan-Bin Jia
On two-finger grasping of deformable planar objects. ICRA 2011: 5261-5266 - [c14]Kangying Cai, Wenfei Jiang, Teng Ma, Jiang Tian, Wencheng Wang, Tao Luo:
Probability model-adaptive coding of point clouds with octree decomposition. SIGGRAPH Asia Posters 2011: 33:1 - 2010
- [j3]Yan-Bin Jia
Surface Patch Reconstruction From "One-Dimensional" Tactile Data. IEEE Trans Autom. Sci. Eng. 7(2): 400-407 (2010) - [j2]Jiang Tian, Yan-Bin Jia
Modeling Deformations of General Parametric Shells Grasped by a Robot Hand. IEEE Trans. Robotics 26(5): 837-852 (2010)
2000 – 2009
- 2009
- [c13]Jiang Tian, Hong Gu, Wenqi Liu:
A method for improving protein localization prediction from datasets with outliers. CIBCB 2009: 100-105 - [c12]Jiang Tian, Yan-Bin Jia
Modeling deformable shell-like objects grasped by a robot hand. ICRA 2009: 1297-1302 - [c11]Jiang Tian, Huaglory Tianfield
Health Delivery Systems - A Case for Multi-Agent Systems. SMC 2009: 2718-2722 - 2008
- [c10]Yan-Bin Jia
Deformations of general parametric shells: Computation and robot experiment. IROS 2008: 1796-1803 - 2007
- [c9]Jiang Tian, Huaglory Tianfield, Juming Chen, Guoqiang He:
A Study Upon the Architectures of Multi-Agent Systems for Petroleum Supply Chain. CDVE 2007: 301-303 - [c8]Jiang Tian, Huaglory Tianfield:
Multi-agent Based Dynamic Supply Chain Formation in Semi-monopolized Circumstance. ICIC (1) 2007: 179-189 - [c7]Jiangnan Qiu, Jiang Tian, Yanzhang Wang:
A Research on the Authorization Model Based on Organizational Management in E-Gov. CONFENIS (1) 2007: 415-424 - 2006
- [j1]Jiang Tian, Richard Foley, Xin Yao
An extended contract net mechanism for dynamic supply chain formation and its application in China petroleum supply chain management. Multiagent Grid Syst. 2(2): 183-207 (2006) - [c6]Jiang Tian, Huaglory Tianfield:
Multi-agent Modeling and Simulation for Petroleum Supply Chain. ICIC (2) 2006: 496-501 - [c5]Yan-Bin Jia
Surface Patch Reconstruction via Curve Sampling. ICRA 2006: 1371-1377 - 2005
- [c4]Jiang Tian, Derrick J. Parkhurst:
VSARD: a low-cost augmented reality system for desktop applications. SIGGRAPH Posters 2005: 57 - 2004
- [c3]Jiang Tian, Richard Foley, Huaglory Tianfield:
A New Agent-Oriented Development Methodology. IAT 2004: 373-376 - 2003
- [c2]Jiang Tian, Huaglory Tianfield:
Object-Oriented Design of E-Government System: A Case Study. KES 2003: 1039-1045 - [c1]Jiang Tian, Huaglory Tianfield:
A Multi-agent Approach to the Design of an E-medicine System. MATES 2003: 85-94
Coauthor Index
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last updated on 2024-11-28 20:31 CET by the dblp team
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