Yuxing Tang

81 papers A* 6B 1C 3Misc 1Journal 34Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
AutoProfile: Automated profiling in deep learning-based side-channel analysis.
Neural Networks
Yimeng Chen, Bo Wang, Changshan Su, Ao Li, Gen Li, Yuxing Tang, An Wang
2025 — conf
Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning.
MICCAI (2)
Runze Wang, Zeli Chen, Zhiyun Song, Wei Fang, Jiajin Zhang, Danyang Tu, Yuxing Tang, Minfeng Xu, Xianghua Ye, Le Lu, Dakai Jin
2025 J jnl
Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning.
CoRR
Runze Wang, Zeli Chen, Zhiyun Song, Wei Fang, Jiajin Zhang, Danyang Tu, Yuxing Tang, Minfeng Xu, Xianghua Ye, Le Lu, Dakai Jin
2025 — conf
E-ViM
BIBM
Jiaheng Zhou, Yanfeng Zhou, Wei Fang, Yuxing Tang, Le Lu, Ge Yang
2025 J jnl
Efficient Privacy-Preserving Video Analytics via Share Transforming in Distributed Clouds.
ACM Trans. Multim. Comput. Commun. Appl.
Tengfei Zheng, Bo Wang, Gen Li, Yuxing Tang, Qiang Dou
2025 J jnl
Enhancing Model Generalization for Efficient Cross-Device Side-Channel Analysis.
IEEE Trans. Inf. Forensics Secur.
Yimeng Chen, Bo Wang, Changshan Su, Ao Li, Yuxing Tang, Gen Li
2025 J jnl
Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos.
CoRR
Jiaheng Zhou, Yanfeng Zhou, Wei Fang, Yuxing Tang, Le Lu, Ge Yang
2025 J jnl
Striving for understanding: Deconstructing neural networks in side-channel analysis.
Pattern Recognit.
Yimeng Chen, Bo Wang, Changshan Su, Ao Li, Gen Li, Yuxing Tang
2025 Misc conf
Understanding Neural Networks in Profiled Side-Channel Analysis.
ICASSP
Yimeng Chen, Bo Wang, Changshan Su, Ao Li, Gen Li, Yuxing Tang
2024 — conf
A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation.
MICCAI (9)
Fenqiang Zhao, Yuxing Tang, Le Lu, Ling Zhang
2024 A* conf
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models.
CVPR
Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang
2024 J jnl
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models.
CoRR
Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang
2024 A* conf
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CVPR
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
2024 J jnl
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CoRR
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
2023 J jnl
BlockExplorer: Exploring Blockchain Big Data Via Parallel Processing.
IEEE Trans. Computers
Shipeng Li, Jingwei Li, Yuxing Tang, Xiapu Luo, Zheyuan He, Zihao Li, Xi Cheng, Yang Bai, Ting Chen, Yuzhe Tang, Zhe Liu, Xiaosong Zhang
2023 A* conf
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
ICCV
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
2023 J jnl
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer.
CoRR
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
2023 — conf
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer.
MICCAI (5)
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
2023 — conf
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with
IPMI
Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo
2023 — conf
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.
MICCAI (5)
Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang
2023 J jnl
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists.
CoRR
Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang
2023 J jnl
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR
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
2022 — conf
Asymmetry and Architectural Distortion Detection with Limited Mammography Data.
MILLanD@MICCAI
Zhenjie Cao, Xiaoyun Zhou, Yuxing Tang, Mei Han, Jing Xiao, Jie Ma, Peng Chang
2022 J jnl
Robust convolutional neural networks against adversarial attacks on medical images.
Pattern Recognit.
Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu
2021 J jnl
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis.
Medical Image Anal.
Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
2021 — conf
BI-RADS Classification of Calcification on Mammograms.
MICCAI (7)
Yanbo Zhang, Yuxing Tang, Zhenjie Cao, Mei Han, Jing Xiao, Jie Ma, Peng Chang
2021 J jnl
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
Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
2021 J jnl
Discriminative ensemble learning for few-shot chest x-ray diagnosis.
Medical Image Anal.
Angshuman Paul, Yuxing Tang, Thomas C. Shen, Ronald M. Summers
2021 J jnl
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
IEEE Trans. Medical Imaging
Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu
2021 A* conf
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms.
CVPR
Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang
2021 J jnl
MommiNet-v2: Mammographic multi-view mass identification networks.
Medical Image Anal.
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
2021 — conf
Rethinking of Reentrancy on the Ethereum.
DASC/PiCom/CBDCom/CyberSciTech
Yuxing Tang, Zihao Li, Yanxu Bai
2021 — conf
Supervised Contrastive Pre-training forMammographic Triage Screening Models.
MICCAI (7)
Zhenjie Cao, Zhicheng Yang, Yuxing Tang, Yanbo Zhang, Mei Han, Jing Xiao, Jie Ma, Peng Chang
2020 J jnl
Automated abnormality classification of chest radiographs using deep convolutional neural networks.
npj Digit. Medicine
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
2020 — conf
Automatic recognition of abdominal lymph nodes from clinical text.
ClinicalNLP@EMNLP
Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
2020 J jnl
Bone Suppression on Chest Radiographs With Adversarial Learning.
CoRR
Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers
2020 — conf
Bone suppression on chest radiographs with adversarial learning.
Computer-Aided Diagnosis
Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers
2020 — conf
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs.
iMIMIC/MIL3ID/LABELS@MICCAI
Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2020 J jnl
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature.
CoRR
Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
2020 J jnl
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model.
CoRR
Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
2020 — conf
Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model.
MICCAI (2)
Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
2020 — conf
E
MICCAI (4)
Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
2020 J jnl
E
CoRR
Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
2020 — conf
Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble.
Computer-Aided Diagnosis
Angshuman Paul, Yuxing Tang, Ronald M. Summers
2020 J jnl
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
CoRR
Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youvao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu
2020 A* conf
SODA: A Generic Online Detection Framework for Smart Contracts.
NDSS
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
2019 — conf
Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier.
ISBI
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers
2019 J jnl
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier.
CoRR
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers
2019 — conf
CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation.
Computer-Aided Diagnosis
Youbao Tang, Sooyoun Oh, Yuxing Tang, Jing Xiao, Ronald M. Summers
2019 — conf
Deep adversarial one-class learning for normal and abnormal chest radiograph classification.
Computer-Aided Diagnosis
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers
2019 — conf
TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays.
MICCAI (6)
Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers
2019 J jnl
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays.
CoRR
Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers
2019 J jnl
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining.
CoRR
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers
2019 — conf
Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining.
ISBI
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers
2019 — conf
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation.
MIDL
Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers
2019 J jnl
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation.
CoRR
Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers
2018 — conf
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.
MLMI@MICCAI
Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers
2018 J jnl
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.
CoRR
Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers
2018 J jnl
Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuxing Tang, Josiah Wang, Xiaofang Wang, Boyang Gao, Emmanuel Dellandréa, Robert J. Gaizauskas, Liming Chen
2018 J jnl
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection.
CoRR
Yuxing Tang, Josiah Wang, Xiaofang Wang, Boyang Gao, Emmanuel Dellandréa, Robert J. Gaizauskas, Liming Chen
2017 — conf
ACCDSE: A Design Space Exploration Framework for Convolutional Neural Network Accelerator.
NCCET
Zhisheng Li, Lei Wang, Qiang Dou, Yuxing Tang, Shasha Guo, Haifang Zhou, Wenyuan Lu
2017 J jnl
Close Yet Distinctive Domain Adaptation.
CoRR
Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Chao Wang, Yuxing Tang, Liming Chen
2017 — conf
FixCaffe: Training CNN with Low Precision Arithmetic Operations by Fixed Point Caffe.
APPT
Shasha Guo, Lei Wang, Baozi Chen, Qiang Dou, Yuxing Tang, Zhisheng Li
2017 J jnl
Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals.
IEEE Trans. Multim.
Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, Liming Chen
2016 A* conf
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer.
CVPR
Yuxing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandréa, Robert J. Gaizauskas, Liming Chen
2016 C conf
The Macro-DSE for HPC Processing Unit: The Physical Constraints Perspective.
GPC
Yuxing Tang, Lei Wang, Yu Deng, Xiaoqiang Ni, Qiang Dou
2015 J jnl
A Global/Local Affinity Graph for Image Segmentation.
IEEE Trans. Image Process.
Xiaofang Wang, Yuxing Tang, Simon Masnou, Liming Chen
2015 — conf
A Scalable and Fast Microprocessor Design Space Exploration Methodology.
MCSoC
Lei Wang, Yuxing Tang, Yu Deng, Fangyan Qin, Qiang Dou, Guangda Zhang, Feipeng Zhang
2015 — conf
IRIM at TRECVID 2015: Semantic Indexing.
TRECVID
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
2014 B conf
Fusing generic objectness and deformable part-based models for weakly supervised object detection.
ICIP
Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, Simon Masnou, Liming Chen
2014 — conf
IRIM at TRECVID 2014: Semantic Indexing and Instance Search.
TRECVID
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
2013 C conf
Fan-shaped patch local binary patterns for texture classification.
CBMI
Yuxing Tang, Charles-Edmond Bichot, Chao Zhu
2013 — conf
IRIM at TRECVID 2013 : Semantic Indexing and Instance Search.
TRECVID
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
2012 — conf
IRIM at TRECVID 2012 : Semantic Indexing and Instance Search.
TRECVID
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
2010 C conf
Phase Characterization and Classification for Micro-architecture Soft Error.
EUC
Yu Cheng, Anguo Ma, Yuxing Tang, Minxuan Zhang
2009 — conf
A Fine-Grained Pipelined Implementation for Large-Scale Matrix Inversion on FPGA.
APPT
Jie Zhou, Yong Dou, Jianxun Zhao, Fei Xia, Yuanwu Lei, Yuxing Tang
2009 — conf
Implementation of Rotation Invariant Multi-View Face Detection on FPGA.
APPT
Jinbo Xu, Yong Dou, Yuxing Tang, Xiaodong Wang
2009 — conf
Performance Optimization Strategies of High Performance Computing on GPU.
APPT
Anguo Ma, Jing Cai, Yu Cheng, Xiaoqiang Ni, Yuxing Tang, Zuocheng Xing
2005 — conf
RIMP: Runtime Implicit Predication.
APPT
Yuxing Tang, Kun Deng, Xiaodong Wang, Yong Dou, Xingming Zhou
2005 — conf
The Design Space of CMP vs. SMT for High Performance Embedded Processor.
ICESS
Yuxing Tang, Kun Deng, Xingming Zhou
2005 — conf
Trace-Based Runtime Instruction Rescheduling for Architecture Extension.
ICESS
Yuxing Tang, Kun Deng, Hongjia Cao, Xingming Zhou