RIMP: Runtime Implicit Predication. - Yuxing Tang; Kun Deng; Xiaodong Wang 002; Yong Dou; Xingming Zhou (APPT, 2005)

Trace-Based Runtime Instruction Rescheduling for Architecture Extension. - Yuxing Tang; Kun Deng; HongJia Cao; Xingming Zhou (ICESS, 2005)

The Design Space of CMP vs. SMT for High Performance Embedded Processor. - Yuxing Tang; Kun Deng; Xingming Zhou (ICESS, 2005)

Performance Optimization Strategies of High Performance Computing on GPU. - Anguo Ma; Jing Cai; Yu Cheng; Xiaoqiang Ni; Yuxing Tang; Zuocheng Xing (APPT, 2009)

Implementation of Rotation Invariant Multi-View Face Detection on FPGA. - Jinbo Xu; Yong Dou; Yuxing Tang; Xiaodong Wang 002 (APPT, 2009)

A Fine-Grained Pipelined Implementation for Large-Scale Matrix Inversion on FPGA. - Jie Zhou 007; Yong Dou; Jianxun Zhao; Fei Xia 003; Yuanwu Lei; Yuxing Tang (APPT, 2009)

Phase Characterization and Classification for Micro-architecture Soft Error. - Yu Cheng; Anguo Ma; Yuxing Tang; Minxuan Zhang (EUC, 2010)

IRIM at TRECVID 2012 : Semantic Indexing and Instance Search. - 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; et al. (TRECVID, 2012)

Fan-shaped patch local binary patterns for texture classification. - Yuxing Tang; Charles-Edmond Bichot; Chao Zhu 003 (CBMI, 2013)

IRIM at TRECVID 2013 : Semantic Indexing and Instance Search. - Nicolas Ballas; Benjamin Labbé; Hervé Le Borgne; Philippe Gosselin; David Picard; Miriam Redi; Bernard Mérialdo; Iván González-Díaz 001; Boris Mansencal; Jenny Benois-Pineau; Stéphane Ayache; Abdelkader Hamadi; et al. (TRECVID, 2013)

Fusing generic objectness and deformable part-based models for weakly supervised object detection. - Yuxing Tang; Xiaofang Wang; Emmanuel Dellandréa; Simon Masnou; Liming Chen 002 (ICIP, 2014)

IRIM at TRECVID 2014: Semantic Indexing and Instance Search. - 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; et al. (TRECVID, 2014)

A Scalable and Fast Microprocessor Design Space Exploration Methodology. - Lei Wang 011; Yuxing Tang; Yu Deng 001; Fangyan Qin; Qiang Dou; Guangda Zhang; Feipeng Zhang (MCSoC, 2015)

IRIM at TRECVID 2015: Semantic Indexing. - 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; et al. (TRECVID, 2015)

A Global/Local Affinity Graph for Image Segmentation. - Xiaofang Wang; Yuxing Tang; Simon Masnou; Liming Chen 002 (IEEE Trans. Image Process., 2015)

Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer. - Yuxing Tang; Josiah Wang; Boyang Gao; Emmanuel Dellandréa; Robert J. Gaizauskas; Liming Chen 002 (CVPR, 2016)

The Macro-DSE for HPC Processing Unit: The Physical Constraints Perspective. - Yuxing Tang; Lei Wang 011; Yu Deng 001; Xiaoqiang Ni; Qiang Dou (GPC, 2016)

FixCaffe: Training CNN with Low Precision Arithmetic Operations by Fixed Point Caffe. - Shasha Guo 001; Lei Wang 011; Baozi Chen; Qiang Dou; Yuxing Tang; Zhisheng Li (APPT, 2017)

ACCDSE: A Design Space Exploration Framework for Convolutional Neural Network Accelerator. - Zhisheng Li; Lei Wang 011; Qiang Dou; Yuxing Tang; Shasha Guo 001; Haifang Zhou; Wenyuan Lu (NCCET, 2017)

Close Yet Distinctive Domain Adaptation. - Lingkun Luo; Xiaofang Wang; Shiqiang Hu; Chao Wang; Yuxing Tang; Liming Chen 002 (CoRR, 2017)

Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals. - Yuxing Tang; Xiaofang Wang; Emmanuel Dellandréa; Liming Chen 002 (IEEE Trans. Multim., 2017)

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. - Yuxing Tang; Xiaosong Wang 001; Adam P. Harrison; Le Lu 001; Jing Xiao 006; Ronald M. Summers (MLMI@MICCAI, 2018)

Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection. - Yuxing Tang; Josiah Wang; Xiaofang Wang; Boyang Gao; Emmanuel Dellandréa; Robert J. Gaizauskas; Liming Chen 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier. - Yuxing Tang; Youbao Tang; Mei Han; Jing Xiao 006; Ronald M. Summers (ISBI, 2019)

Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining. - Youbao Tang; Ke Yan 006; Yuxing Tang; Jiamin Liu; Jin Xiao; Ronald M. Summers (ISBI, 2019)

CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation. - Youbao Tang; Sooyoun Oh; Yuxing Tang; Jing Xiao 006; Ronald M. Summers (Computer-Aided Diagnosis, 2019)

Deep adversarial one-class learning for normal and abnormal chest radiograph classification. - Yuxing Tang; Youbao Tang; Mei Han; Jing Xiao 006; Ronald M. Summers (Computer-Aided Diagnosis, 2019)

TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays. - Yuxing Tang; Youbao Tang; Veit Sandfort; Jing Xiao 006; Ronald M. Summers (MICCAI (6), 2019)

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. - Youbao Tang; Yuxing Tang; Jing Xiao 006; Ronald M. Summers (MIDL, 2019)

ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining. - Youbao Tang; Ke Yan 006; Yuxing Tang; Jiamin Liu; Jing Xiao 006; Ronald M. Summers (CoRR, 2019)

Automatic recognition of abdominal lymph nodes from clinical text. - Yifan Peng 002; Sungwon Lee 003; Daniel C. Elton; Thomas C. Shen; Yuxing Tang; Qingyu Chen 001; Shuai Wang; Yingying Zhu 003; Ronald M. Summers; Zhiyong Lu (ClinicalNLP@EMNLP, 2020)

Bone suppression on chest radiographs with adversarial learning. - Jia Liang; Yuxing Tang; Youbao Tang; Jing Xiao 006; Ronald M. Summers (Computer-Aided Diagnosis, 2020)

Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble. - Angshuman Paul; Yuxing Tang; Ronald M. Summers (Computer-Aided Diagnosis, 2020)

COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. - Angshuman Paul; Thomas C. Shen; Niranjan Balachandar; Yuxing Tang; Yifan Peng 002; Zhiyong Lu; Ronald M. Summers (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. - Youbao Tang; Yuxing Tang; Yingying Zhu 003; Jing Xiao 006; Ronald M. Summers (MICCAI (4), 2020)

Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model. - Yingying Zhu 003; Youbao Tang; Yuxing Tang; Daniel C. Elton; Sungwon Lee 003; Perry J. Pickhardt; Ronald M. Summers (MICCAI (2), 2020)

SODA: A Generic Online Detection Framework for Smart Contracts. - Ting Chen 002; Rong Cao; Ting Li; Xiapu Luo; Guofei Gu; Yufei Zhang 002; Zhou Liao; Hang Zhu; Gang Chen; Zheyuan He; Yuxing Tang; Xiaodong Lin 001; et al. (NDSS, 2020)

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT. - Ke Yan 006; Jinzheng Cai; Youjing Zheng; Adam P. Harrison; Dakai Jin; Youvao Tang; Yuxing Tang; Lingyun Huang; Jing Xiao 006; Le Lu 001 (CoRR, 2020)

Automated abnormality classification of chest radiographs using deep convolutional neural networks. - Yuxing Tang; Youbao Tang; Yifan Peng 002; Ke Yan 006; Mohammadhadi Bagheri; Bernadette A. Redd; Catherine J. Brandon; Zhiyong Lu; Mei Han; Jing Xiao 006; Ronald M. Summers (npj Digit. Medicine, 2020)

Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms. - Yuxing Tang; Zhenjie Cao; Yanbo Zhang; Zhicheng Yang; Zongcheng Ji; Yiwei Wang; Mei Han; Jie Ma; Jing Xiao 006; Peng Chang 002 (CVPR, 2021)

Rethinking of Reentrancy on the Ethereum. - Yuxing Tang; Zihao Li 001; Yanxu Bai (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Supervised Contrastive Pre-training forMammographic Triage Screening Models. - Zhenjie Cao; Zhicheng Yang; Yuxing Tang; Yanbo Zhang; Mei Han; Jing Xiao 006; Jie Ma; Peng Chang 002 (MICCAI (7), 2021)

BI-RADS Classification of Calcification on Mammograms. - Yanbo Zhang; Yuxing Tang; Zhenjie Cao; Mei Han; Jing Xiao 006; Jie Ma; Peng Chang 002 (MICCAI (7), 2021)

Discriminative ensemble learning for few-shot chest x-ray diagnosis. - Angshuman Paul; Yuxing Tang; Thomas C. Shen; Ronald M. Summers (Medical Image Anal., 2021)

A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis. - Youbao Tang; Yuxing Tang; Yingying Zhu 003; Jing Xiao 006; Ronald M. Summers (Medical Image Anal., 2021)

MommiNet-v2: Mammographic multi-view mass identification networks. - Zhicheng Yang; Zhenjie Cao; Yanbo Zhang; Yuxing Tang; Xiaohui Lin 010; Rushan Ouyang; Mingxiang Wu; Mei Han; Jing Xiao 006; Lingyun Huang; Shibin Wu; Peng Chang 002; et al. (Medical Image Anal., 2021)

COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. - Yifan Peng 002; Yuxing Tang; Sungwon Lee 003; Yingying Zhu 003; Ronald M. Summers; Zhiyong Lu (IEEE Trans. Big Data, 2021)

Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. - Ke Yan 006; Jinzheng Cai; Youjing Zheng; Adam P. Harrison; Dakai Jin; Youbao Tang; Yuxing Tang; Lingyun Huang; Jing Xiao 006; Le Lu 001 (IEEE Trans. Medical Imaging, 2021)

Asymmetry and Architectural Distortion Detection with Limited Mammography Data. - Zhenjie Cao; Xiaoyun Zhou 001; Yuxing Tang; Mei Han; Jing Xiao 006; Jie Ma; Peng Chang 002 (MILLanD@MICCAI, 2022)

Robust convolutional neural networks against adversarial attacks on medical images. - Xiaoshuang Shi; Yifan Peng 002; Qingyu Chen 001; Tiarnan D. Keenan; Alisa T. Thavikulwat; Sungwon Lee 003; Yuxing Tang; Emily Y. Chew; Ronald M. Summers; Zhiyong Lu (Pattern Recognit., 2022)

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (ICCV, 2023)

MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET. - Lin Zhao 004; Hexin Dong; Ping Wu 003; Jiaying Lu 006; Le Lu 001; Jingren Zhou 001; Tianming Liu 001; Li Zhang 047; Ling Zhang 002; Yuxing Tang; Chuantao Zuo (IPMI, 2023)

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. - Hexin Dong; Jiawen Yao; Yuxing Tang; Mingze Yuan; Yingda Xia; Jian Zhou; Hong Lu; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Zaiyi Liu; Li Zhang 047; et al. (MICCAI (5), 2023)

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. - Jianpeng Zhang; Xianghua Ye; Jianfeng Zhang; Yuxing Tang; Minfeng Xu; Jianfei Guo; Xin Chen 058; Zaiyi Liu; Jingren Zhou 001; Le Lu 001; Ling Zhang 002 (MICCAI (5), 2023)

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (CoRR, 2023)

BlockExplorer: Exploring Blockchain Big Data Via Parallel Processing. - Shipeng Li; Jingwei Li 001; Yuxing Tang; Xiapu Luo; Zheyuan He; Zihao Li 001; Xi Cheng; Yang Bai; Ting Chen 002; Yuzhe Tang; Zhe Liu 001; Xiaosong Zhang 001 (IEEE Trans. Computers, 2023)

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models. - Weiwei Cao; Jianpeng Zhang; Yingda Xia; Tony C. W. Mok; Zi Li; Xianghua Ye; Le Lu 001; Jian Zheng; Yuxing Tang; Ling Zhang 002 (CVPR, 2024)

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. - Wei Fang 005; Yuxing Tang; Heng Guo; Mingze Yuan; Tony C. W. Mok; Ke Yan 006; Jiawen Yao; Xin Chen 058; Zaiyi Liu; Le Lu 001; Ling Zhang 002; Minfeng Xu (CVPR, 2024)

A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation. - Fenqiang Zhao; Yuxing Tang; Le Lu 001; Ling Zhang 002 (MICCAI (9), 2024)

Understanding Neural Networks in Profiled Side-Channel Analysis. - Yimeng Chen; Bo Wang; Changshan Su; Ao Li; Gen Li; Yuxing Tang (ICASSP, 2025)

Striving for understanding: Deconstructing neural networks in side-channel analysis. - Yimeng Chen; Bo Wang 011; Changshan Su; Ao Li 007; Gen Li 011; Yuxing Tang (Pattern Recognit., 2025)

Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos. - Jiaheng Zhou; Yanfeng Zhou; Wei Fang 005; Yuxing Tang; Le Lu 001; Ge Yang 002 (CoRR, 2025)

Efficient Privacy-Preserving Video Analytics via Share Transforming in Distributed Clouds. - Tengfei Zheng; Bo Wang; Gen Li; Yuxing Tang; Qiang Dou (ACM Trans. Multim. Comput. Commun. Appl., 2025)