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Journal Articles
- 2023
[j11]Shipeng Li
, Jingwei Li, Yuxing Tang, Xiapu Luo, Zheyuan He, Zihao Li, Xi Cheng, Yang Bai, Ting Chen, Yuzhe Tang, Zhe Liu, Xiaosong Zhang:
BlockExplorer: Exploring Blockchain Big Data Via Parallel Processing. IEEE Trans. Computers 72(8): 2377-2389 (2023)- 2022
- [j10]Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu:
Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. 132: 108923 (2022) - 2021
- [j9]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis. Medical Image Anal. 67: 101839 (2021) - [j8]Angshuman Paul, Yuxing Tang, Thomas C. Shen, Ronald M. Summers:
Discriminative ensemble learning for few-shot chest x-ray diagnosis. Medical Image Anal. 68: 101911 (2021) - [j7]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Yuxing Tang, Xiaohui Lin, Rushan Ouyang, Mingxiang Wu, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Peng Chang, Jie Ma:
MommiNet-v2: Mammographic multi-view mass identification networks. Medical Image Anal. 73: 102204 (2021) - [j6]Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. IEEE Trans. Big Data 7(1): 3-12 (2021) - [j5]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. IEEE Trans. Medical Imaging 40(10): 2759-2770 (2021) - 2020
- [j4]Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers:
Automated abnormality classification of chest radiographs using deep convolutional neural networks. npj Digit. Medicine 3 (2020) - 2018
- [j3]Yuxing Tang, Josiah Wang, Xiaofang Wang, Boyang Gao, Emmanuel Dellandréa, Robert J. Gaizauskas, Liming Chen:
Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 3045-3058 (2018) - 2017
- [j2]Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, Liming Chen:
Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals. IEEE Trans. Multim. 19(2): 393-407 (2017) - 2015
- [j1]Xiaofang Wang, Yuxing Tang, Simon Masnou, Liming Chen:
A Global/Local Affinity Graph for Image Segmentation. IEEE Trans. Image Process. 24(4): 1399-1411 (2015)
Conference and Workshop Papers
- 2024
- [c44]Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang:
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models. CVPR 2024: 11238-11247 - [c43]Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu:
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CVPR 2024: 11631-11641 - [c42]Fenqiang Zhao, Yuxing Tang, Le Lu, Ling Zhang:
A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation. MICCAI (9) 2024: 13-22 - 2023
- [c41]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV 2023: 21270-21281 - [c40]Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo:
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET. IPMI 2023: 132-144 - [c39]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. MICCAI (5) 2023: 199-209 - [c38]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. MICCAI (5) 2023: 241-251 - 2022
- [c37]Zhenjie Cao, Xiaoyun Zhou, Yuxing Tang, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
Asymmetry and Architectural Distortion Detection with Limited Mammography Data. MILLanD@MICCAI 2022: 163-173 - 2021
- [c36]Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang:
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms. CVPR 2021: 3855-3864 - [c35]Yuxing Tang, Zihao Li, Yanxu Bai:
Rethinking of Reentrancy on the Ethereum. DASC/PiCom/CBDCom/CyberSciTech 2021: 68-75 - [c34]Yanbo Zhang, Yuxing Tang, Zhenjie Cao, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
BI-RADS Classification of Calcification on Mammograms. MICCAI (7) 2021: 119-128 - [c33]Zhenjie Cao, Zhicheng Yang, Yuxing Tang, Yanbo Zhang, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
Supervised Contrastive Pre-training forMammographic Triage Screening Models. MICCAI (7) 2021: 129-139 - 2020
- [c32]Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
Automatic recognition of abdominal lymph nodes from clinical text. ClinicalNLP@EMNLP 2020: 101-110 - [c31]Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone suppression on chest radiographs with adversarial learning. Medical Imaging: Computer-Aided Diagnosis 2020 - [c30]Angshuman Paul, Yuxing Tang, Ronald M. Summers:
Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble. Medical Imaging: Computer-Aided Diagnosis 2020 - [c29]Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 103-111 - [c28]Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model. MICCAI (2) 2020: 379-389 - [c27]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. MICCAI (4) 2020: 512-522 - [c26]Ting Chen, Rong Cao, Ting Li, Xiapu Luo, Guofei Gu, Yufei Zhang, Zhou Liao, Hang Zhu, Gang Chen, Zheyuan He, Yuxing Tang, Xiaodong Lin, Xiaosong Zhang:
SODA: A Generic Online Detection Framework for Smart Contracts. NDSS 2020 - 2019
- [c25]Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers:
Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining. ISBI 2019: 833-836 - [c24]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier. ISBI 2019: 1358-1361 - [c23]Youbao Tang, Sooyoun Oh, Yuxing Tang, Jing Xiao, Ronald M. Summers:
CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation. Medical Imaging: Computer-Aided Diagnosis 2019: 109503V - [c22]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Deep adversarial one-class learning for normal and abnormal chest radiograph classification. Medical Imaging: Computer-Aided Diagnosis 2019: 1095018 - [c21]Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers:
TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays. MICCAI (6) 2019: 431-440 - [c20]Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers:
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. MIDL 2019: 457-467 - 2018
- [c19]Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. MLMI@MICCAI 2018: 249-258 - 2017
- [c18]Shasha Guo, Lei Wang, Baozi Chen, Qiang Dou, Yuxing Tang, Zhisheng Li:
FixCaffe: Training CNN with Low Precision Arithmetic Operations by Fixed Point Caffe. APPT 2017: 38-50 - [c17]Zhisheng Li, Lei Wang, Qiang Dou, Yuxing Tang, Shasha Guo, Haifang Zhou, Wenyuan Lu:
ACCDSE: A Design Space Exploration Framework for Convolutional Neural Network Accelerator. NCCET 2017: 22-34 - 2016
- [c16]Yuxing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandréa, Robert J. Gaizauskas, Liming Chen:
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer. CVPR 2016: 2119-2128 - [c15]Yuxing Tang, Lei Wang, Yu Deng, Xiaoqiang Ni, Qiang Dou:
The Macro-DSE for HPC Processing Unit: The Physical Constraints Perspective. GPC 2016: 99-112 - 2015
- [c14]Lei Wang, Yuxing Tang, Yu Deng, Fangyan Qin, Qiang Dou, Guangda Zhang, Feipeng Zhang:
A Scalable and Fast Microprocessor Design Space Exploration Methodology. MCSoC 2015: 33-40 - [c13]Hervé Le Borgne, Philippe Henri Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Nadia Derbas, Mateusz Budnik, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat:
IRIM at TRECVID 2015: Semantic Indexing. TRECVID 2015 - 2014
- [c12]Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, Simon Masnou, Liming Chen:
Fusing generic objectness and deformable part-based models for weakly supervised object detection. ICIP 2014: 4072-4076 - [c11]Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Philippe Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Nadia Derbas, Mateusz Budnik, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat:
IRIM at TRECVID 2014: Semantic Indexing and Instance Search. TRECVID 2014 - 2013
- [c10]Yuxing Tang, Charles-Edmond Bichot, Chao Zhu:
Fan-shaped patch local binary patterns for texture classification. CBMI 2013: 115-120 - [c9]Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Philippe Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Iván González-Díaz, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Thi-Thu-Thuy Vuong, Han Dong, Nadia Derbas, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat:
IRIM at TRECVID 2013 : Semantic Indexing and Instance Search. TRECVID 2013 - 2012
- [c8]Nicolas Ballas, Benjamin Labbé, Aymen Shabou, Hervé Le Borgne, Philippe Gosselin, Miriam Redi, Bernard Mérialdo, Hervé Jégou, Jonathan Delhumeau, Rémi Vieux, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Franck Thollard, Nadia Derbas, Georges Quénot, Hervé Bredin, Matthieu Cord, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat, Joseph Razik, Sébastion Paris, Hervé Glotin, Tran Ngoc Trung, Dijana Petrovska, Gérard Chollet, Andrei Stoian, Michel Crucianu:
IRIM at TRECVID 2012 : Semantic Indexing and Instance Search. TRECVID 2012 - 2010
- [c7]Yu Cheng, Anguo Ma, Yuxing Tang, Minxuan Zhang:
Phase Characterization and Classification for Micro-architecture Soft Error. EUC 2010: 687-694 - 2009
- [c6]Jinbo Xu, Yong Dou, Yuxing Tang, Xiaodong Wang:
Implementation of Rotation Invariant Multi-View Face Detection on FPGA. APPT 2009: 82-94 - [c5]Jie Zhou, Yong Dou, Jianxun Zhao, Fei Xia, Yuanwu Lei, Yuxing Tang:
A Fine-Grained Pipelined Implementation for Large-Scale Matrix Inversion on FPGA. APPT 2009: 110-122 - [c4]Anguo Ma, Jing Cai, Yu Cheng, Xiaoqiang Ni, Yuxing Tang, Zuocheng Xing:
Performance Optimization Strategies of High Performance Computing on GPU. APPT 2009: 150-164 - 2005
- [c3]Yuxing Tang, Kun Deng, Xiaodong Wang, Yong Dou, Xingming Zhou:
RIMP: Runtime Implicit Predication. APPT 2005: 71-80 - [c2]Yuxing Tang, Kun Deng, HongJia Cao, Xingming Zhou:
Trace-Based Runtime Instruction Rescheduling for Architecture Extension. ICESS 2005: 4-15 - [c1]Yuxing Tang, Kun Deng, Xingming Zhou:
The Design Space of CMP vs. SMT for High Performance Embedded Processor. ICESS 2005: 30-38
Informal and Other Publications
- 2024
- [i17]Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu:
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CoRR abs/2404.04878 (2024) - [i16]Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang:
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models. CoRR abs/2404.04936 (2024) - 2023
- [i15]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR abs/2301.12291 (2023) - [i14]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists. CoRR abs/2307.10824 (2023) - [i13]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer. CoRR abs/2308.00507 (2023) - 2020
- [i12]Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone Suppression on Chest Radiographs With Adversarial Learning. CoRR abs/2002.03073 (2020) - [i11]Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature. CoRR abs/2006.06177 (2020) - [i10]Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model. CoRR abs/2007.07230 (2020) - [i9]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. CoRR abs/2007.09791 (2020) - [i8]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youvao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT. CoRR abs/2009.02577 (2020) - 2019
- [i7]Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers:
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining. CoRR abs/1901.06359 (2019) - [i6]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier. CoRR abs/1903.02040 (2019) - [i5]Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers:
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. CoRR abs/1904.09229 (2019) - [i4]Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers:
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays. CoRR abs/1908.07926 (2019) - 2018
- [i3]Yuxing Tang, Josiah Wang, Xiaofang Wang, Boyang Gao, Emmanuel Dellandréa, Robert J. Gaizauskas, Liming Chen:
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection. CoRR abs/1801.03145 (2018) - [i2]Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. CoRR abs/1807.07532 (2018) - 2017
- [i1]Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Chao Wang, Yuxing Tang, Liming Chen:
Close Yet Distinctive Domain Adaptation. CoRR abs/1704.04235 (2017)
Coauthor Index
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