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2020 – today
- 2024
[j67]Xinbo Ban
, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang:
IoTFuzz: Automated Discovery of Violations in Smart Homes With Real Environment. IEEE Internet Things J. 11(6): 10183-10196 (2024)- [c29]Xiaowei Zhang, Shigang Liu, Jun Zhang, Yang Xiang:
PTFix: Rule-Based and LLM Techniques for Java Path Traversal Vulnerability. DSPP (1) 2024: 276-293 - [c28]Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang:
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. USENIX Security Symposium 2024 - [i9]Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang:
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. CoRR abs/2407.19216 (2024) - 2023
- [j66]Xinlei Jia, Yali Peng, Bao Ge, Jun Li, Shigang Liu, Wenan Wang:
A Multi-scale Dilated Residual Convolution Network for Image Denoising. Neural Process. Lett. 55(2): 1231-1246 (2023) - [j65]Xiaoang Zhang, Yali Peng, Wenan Wang, Shigang Liu:
Image Super-Resolution Based on Gated Residual and Gated Convolution Networks. Neural Process. Lett. 55(9): 11807-11821 (2023) - [j64]Yijin Wang, Yali Peng, Shigang Liu, Bao Ge, Jun Li:
A two-phase projective dictionary pair learning-based classification scheme for positive and unlabeled learning. Pattern Anal. Appl. 26(3): 1253-1263 (2023) - [j63]Jiehui Nan, Haiming Zhu, Shigang Liu, Honggang Hu:
Adaptively code-correlation robustness functions and its applications to private set intersection. Theor. Comput. Sci. 945: 113685 (2023) - [i8]Zian Liu, Lei Pan, Chao Chen, Ejaz Ahmed, Shigang Liu, Jun Zhang, Dongxi Liu:
VulMatch: Binary-level Vulnerability Detection Through Signature. CoRR abs/2308.00288 (2023) - [i7]Zian Liu, Zhi Zhang, Siqi Ma, Dongxi Liu, Jun Zhang, Chao Chen, Shigang Liu, Muhammad Ejaz Ahmed, Yang Xiang:
SemDiff: Binary Similarity Detection by Diffing Key-Semantics Graphs. CoRR abs/2308.01463 (2023) - 2022
- [j62]Xinlei Jia, Yali Peng, Jun Li, Bao Ge, Yunhong Xin, Shigang Liu:
Dual-Complementary Convolution Network for Remote-Sensing Image Denoising. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j61]Kai He, Yali Peng, Shigang Liu, Jun Li:
Regularized label relaxation with negative technique for image classification. Multim. Tools Appl. 81(28): 41131-41149 (2022) - [j60]Jiangong Yang, Shigang Liu, Xili Wang:
Centered convolutional deep Boltzmann machine for 2D shape modeling. Pers. Ubiquitous Comput. 26(4): 913-923 (2022) - [j59]Shigang Liu, Guanjun Lin, Lizhen Qu, Jun Zhang, Olivier Y. de Vel, Paul Montague, Yang Xiang:
CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation. IEEE Trans. Dependable Secur. Comput. 19(1): 438-451 (2022) - [j58]Yao Deng, Shigang Liu, Alireza Jolfaei, Hongbing Cheng, Ziyuan Wang, Xi Zheng:
DeCoP: Deep Learning for COVID-19 Prediction of Survival. IEEE Trans. Mol. Biol. Multi Scale Commun. 8(4): 239-248 (2022) - [c27]Yuantian Miao, Chao Chen, Lei Pan, Shigang Liu, Seyit Camtepe, Jun Zhang, Yang Xiang:
No-Label User-Level Membership Inference for ASR Model Auditing. ESORICS (2) 2022: 610-628 - [c26]Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang:
A Survey on IoT Vulnerability Discovery. NSS 2022: 267-282 - 2021
- [j57]Yali Peng, Xuning Wang, Junwei Zhang, Shigang Liu:
Pre-training of gated convolution neural network for remote sensing image super-resolution. IET Image Process. 15(5): 1179-1188 (2021) - [j56]Yijin Wang, Yali Peng, Kai He, Shigang Liu, Jun Li:
A Two-Step Classification Method Based on Collaborative Representation for Positive and Unlabeled Learning. Neural Process. Lett. 53(6): 4239-4255 (2021) - [c25]Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang, Yang Xiang:
TAESim: A Testbed for IoT Security Analysis of Trigger-Action Environment. CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS 2021: 218-237 - [i6]Ning Xi, Chao Chen, Jun Zhang, Cong Sun, Shigang Liu, Pengbin Feng, Jianfeng Ma:
Information flow based defensive chain for data leakage detection and prevention: a survey. CoRR abs/2106.04951 (2021) - 2020
- [j55]Shigang Liu, Lingjun Li, Ming Jin, Sujuan Hou, Yali Peng:
Optimized Coefficient Vector and Sparse Representation-Based Classification Method for Face Recognition. IEEE Access 8: 8668-8674 (2020) - [j54]Xiaohong Jia, Tao Lei, Xiaogang Du, Shigang Liu, Hongying Meng, Asoke K. Nandi:
Robust Self-Sparse Fuzzy Clustering for Image Segmentation. IEEE Access 8: 146182-146195 (2020) - [j53]Mahdi Dibaei, Xi Zheng, Kun Jiang, Robert Abbas, Shigang Liu, Yuexin Zhang, Yang Xiang, Shui Yu:
Attacks and defences on intelligent connected vehicles: a survey. Digit. Commun. Networks 6(4): 399-421 (2020) - [j52]Yue Cao, Shigang Liu, Yali Peng, Jun Li:
DenseUNet: densely connected UNet for electron microscopy image segmentation. IET Image Process. 14(12): 2682-2689 (2020) - [j51]Shigang Liu, Jun Zhang, Yang Xiang, Wanlei Zhou, Dongxi Xiang:
A study of data pre-processing techniques for imbalanced biomedical data classification. Int. J. Bioinform. Res. Appl. 16(3): 290-318 (2020) - [j50]Yali Peng, Shigang Liu, Xili Wang, Xiaojun Wu:
Joint local constraint and fisher discrimination based dictionary learning for image classification. Neurocomputing 398: 505-519 (2020) - [j49]Pengju Liu, Hongzhi Zhang, Yue Cao, Shigang Liu, Dongwei Ren, Wangmeng Zuo:
Learning cascaded convolutional networks for blind single image super-resolution. Neurocomputing 417: 371-383 (2020) - [j48]Yuhong Wang, Yali Peng, Shigang Liu, Jun Li, Xili Wang:
Sparsity adaptive matching pursuit for face recognition. J. Vis. Commun. Image Represent. 67: 102764 (2020) - [j47]Shigang Liu, Yuhong Wang, Xiaosheng Wu, Jun Li, Tao Lei:
☆ - Discriminative dictionary learning algorithm based on sample diversity and locality of atoms for face recognition. J. Vis. Commun. Image Represent. 71: 102763 (2020) - [j46]Zengguo Sun, Zhihua Zhang, Yuli Chen, Shigang Liu, Yunjing Song:
Frost Filtering Algorithm of SAR Images With Adaptive Windowing and Adaptive Tuning Factor. IEEE Geosci. Remote. Sens. Lett. 17(6): 1097-1101 (2020) - [j45]Liping Li, Yali Peng, Shigang Liu:
Compound dictionary learning based classification method with a novel virtual sample generation Technology for Face Recognition. Multim. Tools Appl. 79(31-32): 23325-23346 (2020) - [j44]Shigang Liu, Yuhong Wang, Yali Peng, Sujuan Hou, Keyou Zhang, Xiaojun Wu:
Singular value decomposition-based virtual representation for face recognition. Mach. Vis. Appl. 31(3): 19 (2020) - [j43]Kai He, Yali Peng, Shigang Liu, Jun Li:
Regularized Negative Label Relaxation Least Squares Regression for Face Recognition. Neural Process. Lett. 51(3): 2629-2647 (2020) - [j42]Yali Peng, Lingjun Li, Shigang Liu, Xili Wang, Jun Li:
Weighted constraint based dictionary learning for image classification. Pattern Recognit. Lett. 130: 99-106 (2020) - [j41]Shigang Liu, Guanjun Lin, Qing-Long Han, Sheng Wen, Jun Zhang, Yang Xiang:
DeepBalance: Deep-Learning and Fuzzy Oversampling for Vulnerability Detection. IEEE Trans. Fuzzy Syst. 28(7): 1329-1343 (2020) - [j40]Shigang Liu, Mahdi Dibaei, Yonghang Tai, Chao Chen, Jun Zhang, Yang Xiang:
Cyber Vulnerability Intelligence for Internet of Things Binary. IEEE Trans. Ind. Informatics 16(3): 2154-2163 (2020) - [j39]Fuyong Zhang, Yi Wang, Shigang Liu, Hua Wang:
Decision-based evasion attacks on tree ensemble classifiers. World Wide Web 23(5): 2957-2977 (2020) - [i5]Xiaogang Zhu, Shigang Liu, Xian Li, Sheng Wen, Jun Zhang, Seyit Ahmet Çamtepe, Yang Xiang:
DeFuzz: Deep Learning Guided Directed Fuzzing. CoRR abs/2010.12149 (2020) - [i4]Yali Peng, Yue Cao, Shigang Liu, Jian Yang, Wangmeng Zuo:
Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising. CoRR abs/2010.12422 (2020)
2010 – 2019
- 2019
- [j38]Lu Zhang, Yu Zhang, Yali Peng, Shigang Liu, Xiaojun Wu, Gang Lu, Yuan Rao:
Fast Single Image Super-Resolution Via Dilated Residual Networks. IEEE Access 7: 109729-109738 (2019) - [j37]Xinbo Ban, Shigang Liu, Chao Chen, Caslon Chua:
A performance evaluation of deep-learnt features for software vulnerability detection. Concurr. Comput. Pract. Exp. 31(19) (2019) - [j36]Yali Peng, Lingjun Li, Shigang Liu, Jun Li, Han Cao:
Virtual samples and sparse representation-based classification algorithm for face recognition. IET Comput. Vis. 13(2): 172-177 (2019) - [j35]Huaiyu Zheng, Shigang Liu, Fengjie Sun:
Exponential stability of big data in networked control systems for a class of uncertain time-delay and packet dropout. Int. J. Embed. Syst. 11(6): 788-795 (2019) - [j34]Yali Peng, Lu Zhang, Shigang Liu, Xiaojun Wu, Yu Zhang, Xili Wang:
Dilated Residual Networks with Symmetric Skip Connection for image denoising. Neurocomputing 345: 67-76 (2019) - [j33]Shigang Liu, Yali Peng, Zengguo Sun, Xili Wang:
Self-calibration of projective camera based on trajectory basis. J. Comput. Sci. 31: 45-53 (2019) - [j32]Yali Peng, Shigang Liu, Yongqian Qiang, Xiaojun Wu, Ling Hong:
A local mean and variance active contour model for biomedical image segmentation. J. Comput. Sci. 33: 11-19 (2019) - [j31]Tao Lei, Yuxiao Zhang, Zhiyong Lv, Shuying Li, Shigang Liu, Asoke K. Nandi:
Landslide Inventory Mapping From Bitemporal Images Using Deep Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 16(6): 982-986 (2019) - [j30]Ling Hong, Xili Wang, Shigang Liu:
Micro-Doppler Curves Extraction Based on High-Order Particle Filter Track-Before Detect. IEEE Geosci. Remote. Sens. Lett. 16(10): 1550-1554 (2019) - [j29]Yali Peng, Jingcheng Ke, Shigang Liu, Jun Li, Tao Lei:
An improvement to linear regression classification for face recognition. Int. J. Mach. Learn. Cybern. 10(9): 2229-2243 (2019) - [j28]Jingcheng Ke, Yali Peng, Shigang Liu, Zengguo Sun, Xili Wang:
A novel grouped sparse representation for face recognition. Multim. Tools Appl. 78(6): 7667-7689 (2019) - [j27]Tao Lei, Xiaohong Jia, Yanning Zhang, Shigang Liu, Hongying Meng, Asoke K. Nandi:
Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation. IEEE Trans. Fuzzy Syst. 27(9): 1753-1766 (2019) - [j26]Tao Lei, Xiaohong Jia, Tongliang Liu, Shigang Liu, Hongying Meng, Asoke K. Nandi:
Adaptive Morphological Reconstruction for Seeded Image Segmentation. IEEE Trans. Image Process. 28(11): 5510-5523 (2019) - [c24]Ziyuan Wang, Lin Yang, Qin Wang, Donghai Liu, Zhiyu Xu, Shigang Liu:
ArtChain: Blockchain-Enabled Platform for Art Marketplace. Blockchain 2019: 447-454 - [c23]Zian Liu, Chao Chen, Shigang Liu, Dongxi Liu, Yu Wang:
Exploit in Smart Devices: A Case Study. SocialSec 2019: 152-164 - [i3]Tao Lei, Xiaohong Jia, Tongliang Liu, Shigang Liu, Hongying Meng, Asoke K. Nandi:
Adaptive Morphological Reconstruction for Seeded Image Segmentation. CoRR abs/1904.03973 (2019) - [i2]Mahdi Dibaei, Xi Zheng, Kun Jiang, Sasa Maric, Robert Abbas, Shigang Liu, Yuexin Zhang, Yao Deng, Sheng Wen, Jun Zhang, Yang Xiang, Shui Yu:
An Overview of Attacks and Defences on Intelligent Connected Vehicles. CoRR abs/1907.07455 (2019) - [i1]Shigang Liu, Jun Zhang, Yang Xiang, Wanlei Zhou, Dongxi Xiang:
A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification. CoRR abs/1911.00996 (2019) - 2018
- [j25]Yali Peng, Shigang Liu, Tao Lei, Jun Li, Min Guo:
Negative varepsilon Dragging Technique for Pattern Classification. IEEE Access 6: 488-494 (2018) - [j24]Lingjun Li, Yali Peng, Guoyong Qiu, Zengguo Sun, Shigang Liu:
A survey of virtual sample generation technology for face recognition. Artif. Intell. Rev. 50(1): 1-20 (2018) - [j23]Chaoliang Li, Shigang Liu:
A comparative study of the class imbalance problem in Twitter spam detection. Concurr. Comput. Pract. Exp. 30(5) (2018) - [j22]Shigang Liu, Honghua Dai, Min Gan:
Information-decomposition-model-based missing value estimation for not missing at random dataset. Int. J. Mach. Learn. Cybern. 9(1): 85-95 (2018) - [j21]Tao Lei, Yanning Zhang, Yi Wang, Zhe Guo, Shigang Liu:
Adaptive Unsymmetrical Trim-Based Morphological Filter for High-Density Impulse Noise Removal. Multim. Tools Appl. 77(1): 689-711 (2018) - [j20]Xuena Zhu, Xianye Ben, Shigang Liu, Rui Yan, Weixiao Meng:
Coupled source domain targetized with updating tag vectors for micro-expression recognition. Multim. Tools Appl. 77(3): 3105-3124 (2018) - [j19]Keyou Zhang, Yali Peng, Shigang Liu:
Discriminative face recognition via kernel sparse representation. Multim. Tools Appl. 77(24): 32243-32256 (2018) - [j18]Yali Peng, Lingjun Li, Shigang Liu, Jun Li, Xili Wang:
Extended sparse representation-based classification method for face recognition. Mach. Vis. Appl. 29(6): 991-1007 (2018) - [j17]Yali Peng, Lingjun Li, Shigang Liu, Tao Lei, Jie Wu:
A New Virtual Samples-Based CRC Method for Face Recognition. Neural Process. Lett. 48(1): 313-327 (2018) - [j16]Yali Peng, Paramjit S. Sehdev, Shigang Liu, Jun Li, Xili Wang:
l2, 1-norm minimization based negative label relaxation linear regression for feature selection. Pattern Recognit. Lett. 116: 170-178 (2018) - [j15]Yali Peng, Liping Li, Shigang Liu, Tao Lei:
Space-frequency domain based joint dictionary learning and collaborative representation for face recognition. Signal Process. 147: 101-109 (2018) - [c22]Shigang Liu, Jun Zhang, Yu Wang, Wanlei Zhou, Yang Xiang, Olivier Y. de Vel:
A Data-driven Attack against Support Vectors of SVM. AsiaCCS 2018: 723-734 - [c21]Tao Lei, Xiaohong Jia, Yuxiao Zhang, Yanning Zhang, Xuhui Su, Shigang Liu:
Holoscopic 3D Micro-Gesture Recognition Based on Fast Preprocessing and Deep Learning Techniques. FG 2018: 795-801 - [c20]Yuhong Wang, Shigang Liu, Yali Peng, Han Cao:
Discriminative Dictionary Learning Based on Sample Diversity for Face Recognition. PCM (2) 2018: 538-546 - [c19]Xinbo Ban, Chao Chen, Shigang Liu, Yu Wang, Jun Zhang:
Deep-learnt features for Twitter spam detection. SocialSec 2018: 22-26 - 2017
- [j14]Yali Peng, Lu Zhang, Shigang Liu, Xili Wang, Min Guo:
Kernel Negative ε Dragging Linear Regression for Pattern Classification. Complex. 2017: 2691474:1-2691474:14 (2017) - [j13]Shigang Liu, Yu Wang, Jun Zhang, Chao Chen, Yang Xiang:
Addressing the class imbalance problem in Twitter spam detection using ensemble learning. Comput. Secur. 69: 35-49 (2017) - [j12]Tingmin Wu, Sheng Wen, Shigang Liu, Jun Zhang, Yang Xiang, Majed A. AlRubaian, Mohammad Mehedi Hassan:
Detecting spamming activities in twitter based on deep-learning technique. Concurr. Comput. Pract. Exp. 29(19) (2017) - [j11]Shigang Liu, Lingjun Li, Yali Peng, Guoyong Qiu, Tao Lei:
Improved sparse representation method for image classification. IET Comput. Vis. 11(4): 319-330 (2017) - [j10]Tao Lei, Yanning Zhang, Yi Wang, Shigang Liu, Zhe Guo:
A conditionally invariant mathematical morphological framework for color images. Inf. Sci. 387: 34-52 (2017) - [j9]Zhonghua Liu, Gang Liu, Jiexin Pu, Shigang Liu:
Noisy label based discriminative least squares regression and its kernel extension for object identification. KSII Trans. Internet Inf. Syst. 11(5): 2523-2538 (2017) - [j8]Shigang Liu, Jun Zhang, Yang Xiang, Wanlei Zhou:
Fuzzy-Based Information Decomposition for Incomplete and Imbalanced Data Learning. IEEE Trans. Fuzzy Syst. 25(6): 1476-1490 (2017) - [c18]Tingmin Wu, Shigang Liu, Jun Zhang, Yang Xiang:
Twitter spam detection based on deep learning. ACSW 2017: 3:1-3:8 - 2016
- [j7]Shigang Liu, Yali Peng, Xianye Ben, Wankou Yang, Guoyong Qiu:
A novel label learning algorithm for face recognition. Signal Process. 124: 141-146 (2016) - [c17]Shigang Liu, Jun Zhang, Yu Wang, Yang Xiang:
Fuzzy-Based Feature and Instance Recovery. ACIIDS (1) 2016: 605-615 - [c16]Shigang Liu, Yu Wang, Chao Chen, Yang Xiang:
An Ensemble Learning Approach for Addressing the Class Imbalance Problem in Twitter Spam Detection. ACISP (1) 2016: 215-228 - [c15]Shigang Liu, Jun Zhang, Yang Xiang:
Statistical Detection of Online Drifting Twitter Spam: Invited Paper. AsiaCCS 2016: 1-10 - 2015
- [c14]Xiaomeng Xin, Lingfeng Wang, Chunhong Pan, Shigang Liu:
Adaptive regularization level set evolution for medical image segmentation and bias field correction. ICIP 2015: 1006-1010 - [c13]Keshav Sood, Shigang Liu, Shui Yu, Yong Xiang:
Dynamic access point association using Software Defined Networking. ITNAC 2015: 226-231 - 2014
- [j6]Yali Peng, Fang Liu, Shigang Liu:
Active contours driven by normalized local image fitting energy. Concurr. Comput. Pract. Exp. 26(5): 1200-1214 (2014) - [j5]Shigang Liu, Yali Peng, Guoyong Qiu, Xuanwen Hao:
A Local Statistical Information Active Contour Model for Image Segmentation. Int. J. Mob. Comput. Multim. Commun. 6(2): 33-49 (2014) - [c12]Shigang Liu, Honghua Dai:
Examination of Reliability of Missing Value Recovery in Data Mining. ICDM Workshops 2014: 306-313 - 2013
- [c11]Shigang Liu, Min Gan, Honghua Dai:
A hybrid approach to fuzzy risk analysis in stock market. FSKD 2013: 295-298 - [c10]Junxiu Zhou, Shigang Liu, Guoyong Qiu, Fengmin Zhang, Jiancheng Sun:
Tensor Missing Value Recovery with Tucker Thresholding Method. INCoS 2013: 716-720 - [c9]Yali Peng, Shigang Liu, Hong Fan, Jiamei Gao, Jiancheng Sun:
A Spatially Varying Mean and Variance Active Contour Model. INCoS 2013: 721-725 - 2012
- [j4]Shigang Liu, Yali Peng:
A local region-based Chan-Vese model for image segmentation. Pattern Recognit. 45(7): 2769-2779 (2012) - [c8]Shigang Liu, Dailiang Xie, Shan Tao:
Design and Simulation of Fluidic Flowmeter for the Measurement of Liquid Flow in Microchannel. ICDMA 2012: 310-313 - [c7]Yali Peng, Fang Liu, Shigang Liu:
A Normalized Local Binary Fitting Model for Image Segmentation. INCoS 2012: 77-80 - [c6]Lugang Zhao, Chengke Wu, Shigang Liu:
A Self-Calibration Method Based on Two Pairs of Orthogonal Parallel Lines. INCoS 2012: 373-376 - 2010
- [j3]Kaiqi Zou, Shigang Liu, Xiaoyue Zhou:
Complex Fuzzy Structured Element and Its Properties. Intell. Inf. Manag. 2(1): 53-57 (2010) - [c5]Kaiqi Zou, Shigang Liu:
FKG System Model Based on Second-Order Differential and Its Application in Stock Prediction. ACFIE 2010: 581-589
2000 – 2009
- 2009
- [c4]Zengguo Sun, Chongzhao Han, Ram M. Narayanan, Shigang Liu:
Calibration factor estimation based on statistical modeling of scattering coefficient. FUSION 2009: 2006-2011 - [c3]Zhiyong Zeng, Zhiqiang Yao, Shigang Liu:
An efficient and effective image representation for region-based image retrieval. ICIS 2009: 429-434 - [c2]Zhiyong Zeng, Xuemei Ding, Shigang Liu:
An efficient region-based image representation using Legendre color distribution moments. ICIS 2009: 435-439 - 2007
- [j2]Jifeng Ning, Chengke Wu, Shigang Liu, Shuqin Yang:
NGVF: An improved external force field for active contour model. Pattern Recognit. Lett. 28(1): 58-63 (2007) - 2006
- [c1]Jifeng Ning, Chengke Wu, Shigang Liu, Peizhi Wen:
A New Active Contour Model: Curvature Gradient Vector Flow. ACCV (1) 2006: 633-642 - 2005
- [j1]Shigang Liu, Chengke Wu, Li Tang, Jing Jia:
An Iterative Factorization Method Based on Rank 1 for Projective Structure and Motion. IEICE Trans. Inf. Syst. 88-D(9): 2183-2188 (2005)
Coauthor Index
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