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2020 – today
- 2025
[j45]Ying Pang
, Lizhi Peng, Haibo Zhang, Zhenxiang Chen, Bo Yang:
Imbalanced ensemble learning leveraging a novel data-level diversity metric. Pattern Recognit. 157: 110886 (2025)- 2024
- [j44]Xinyu Liu, Kun Ma, Ke Ji, Zhenxiang Chen, Bo Yang:
Graph-based multi-information integration network with external news environment perception for Propaganda detection. Int. J. Web Inf. Syst. 20(2): 195-212 (2024) - [j43]Jiaqi Fang, Kun Ma, Yanfang Qiu, Ke Ji, Zhenxiang Chen, Bo Yang:
SEN-CTD: semantic enhancement network with content-title discrepancy for fake news detection. Int. J. Web Inf. Syst. 20(6): 603-620 (2024) - [j42]Lei Zhang, Yazhou Ma, Xiaojie Fan, Xiaochen Fan, Yonggang Zhang, Zhenxiang Chen, Xianyi Chen, Daqing Zhang:
Wi-Diag: Robust Multisubject Abnormal Gait Diagnosis With Commodity Wi-Fi. IEEE Internet Things J. 11(3): 4362-4376 (2024) - [j41]Peiran Peng, Zhenxiang Chen, Jianan Li, Shuaihao Han, Tongtong Gao, Lang Hong, Tingfa Xu:
Feature-Enhanced Convolutional Attention for Unstable Rock Detection in Aerial Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j40]Mohammed Shujaa Aldeen, Chuan Zhao, Zhenxiang Chen, Liming Fang, Zhe Liu:
Privacy-Preserving Collaborative Learning for Genome Analysis via Secure XGBoost. IEEE Trans. Dependable Secur. Comput. 21(6): 5755-5765 (2024) - [j39]Zhenxiang Chen, Tingfa Xu, Yongzhuo Pan, Ning Shen, Huan Chen, Jianan Li:
Edge Feature Enhancement for Fine-Grained Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [c100]Hui Liu, Ke Ji, Zhenxiang Chen, Kun Ma, Xiaofan Zhao:
Malicious Attack Detection Method for Recommendation Systems Based on Meta-pseudo Labels and Dynamic Features. APWeb/WAIM (4) 2024: 379-393 - [c99]Yuchen Liu, Shanshan Wang, Jin Au-Yeung, Zhenxiang Chen:
Encrypted Malicious Traffic Detection Based on Graph Convolutional Network and Temporal Dissection. CSCWD 2024: 187-192 - [c98]Aihua Yang, Tianke Fang, Elcid A. Serrano, Yusen Chi, Fucai Liu, Zhenxiang Chen:
Inspection Robot Fault Detection Based on Electric Power Big Data and Target Detection Algorithm. FAIML 2024: 153-156 - [c97]Changlin Liu, Shanshan Wang, Zhenxiang Chen, Limei Huang, Yan Li, Hanwen Li:
KGhish: A Phishing Website Detection Method Based on Knowledge Graph. ICIC (13) 2024: 300-311 - [c96]Hanwen Li, Shanshan Wang, Yadi Han, Changlin Liu, Zhenxiang Chen:
Constructing Adversarial Network Attacks in Realistic Network Environments. ICIC (9) 2024: 422-435 - [c95]Amina El Garne, Yunan Wei, Yucheng Lin, Shengnan Zhao, Chuan Zhao, Zhenxiang Chen:
Secure and Robust Privacy-Preserving Federated Learning For Heterogeneous Resource. ICICS (1) 2024: 251-270 - [c94]Huan Chen, Tingfa Xu, Zhenxiang Chen, Peifu Liu, Huiyan Bai, Jianan Li:
Multi-scale Change-Aware Transformer for Remote Sensing Image Change Detection. ACM Multimedia 2024: 2992-3000 - [c93]Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu:
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection. PAKDD (5) 2024: 28-39 - 2023
- [j38]Kun Ma, Changhao Tang, Weijuan Zhang, Benkuan Cui, Ke Ji, Zhenxiang Chen, Ajith Abraham:
DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection. Appl. Intell. 53(7): 8354-8369 (2023) - [j37]Benkuan Cui, Kun Ma, Leping Li, Weijuan Zhang, Ke Ji, Zhenxiang Chen, Ajith Abraham:
Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection. Appl. Intell. 53(16): 18971-18988 (2023) - [j36]Jing Chen, Kun Ma, Ke Ji, Zhenxiang Chen:
TM-HOL: Topic memory model for detection of hate speech and offensive language. Concurr. Comput. Pract. Exp. 35(14) (2023) - [j35]Abbas Arghavani, Haibo Zhang, Zhiyi Huang, Yawen Chen, Zhenxiang Chen:
Tuatara: Location-Driven Power-Adaptive Communication for Wireless Body Area Networks. IEEE Trans. Mob. Comput. 22(1): 574-588 (2023) - [c92]Shuhao Yan, Shanshan Wang, Zhenxiang Chen, Xiaoqing Jiang, Xueyang Cao:
CSLog: Anomaly Detection for Syslog Based on Contrastive Self-Supervised Representation Learning. APNOMS 2023: 165-170 - [c91]Chenghan Wang, Shanshan Wang, Chuan Zhao, Xueyang Cao, Shuhao Yan, Yadi Han, Limei Huang, Zhenxiang Chen:
The Secondary Isolated Data Island: Isolated Data Island Caused by Blockchain in Federated Learning. BIBM 2023: 4159-4166 - [c90]Hucheng Wang, Zhenxiang Chen, Xiaoqing Jiang, Bo Yang:
Estimate Heart Rate from Recovered Facial Signal. BIC 2023: 50-54 - [c89]Zhengli Wang, Zhenxiang Chen, Xiaoqing Jiang, Peicheng Wang, Hucheng Wang:
Prediction method for college student's mental health state based on association rules. BIC 2023: 367-371 - [c88]Daokuan Bai, Shanshan Wang, Wenyue Wang, Hua Wang, Chuan Zhao, Peng Yuan, Zhenxiang Chen:
Overcoming Noisy Labels in Federated Learning Through Local Self-Guiding. CCGrid 2023: 367-376 - [c87]Weiliang Zheng, Zhenxiang Chen, Yang Li, Xiaoqing Jiang, Xueyang Cao:
Speaker recognition system of flexible throat microphone using contrastive learning. CCGrid 2023: 640-650 - [c86]Chenghan Wang, Shanshan Wang, Chuan Zhao, Wenyue Wang, Bin Hu, Youmian Wang, Lin Wang, Zhenxiang Chen:
Decentralized Reinforced Anonymous FLchain: a Secure Federated Learning Architecture for the Medical Industry. COMPSAC 2023: 396-405 - [c85]Yadi Han, Shanshan Wang, Yiwen Li, Xueyang Cao, Limei Huang, Zhenxiang Chen:
Measurement of Illegal Android Gambling App Ecosystem From Joint Promotion Perspective. DSAA 2023: 1-11 - [c84]Peicheng Wang, Zhenxiang Chen, Xiaoqing Jiang, Yanqi Song:
Psychological Stress Assessment Method Based on Learning Using Privileged Information Framework. ICBIP 2023: 91-97 - [c83]Peng Yuan, Shanshan Wang, Chuan Zhao, Wenyue Wang, Daokuan Bai, Lizhi Peng, Zhenxiang Chen:
Adversarial Attack with Genetic Algorithm against IoT Malware Detectors. ICC 2023: 1413-1418 - [c82]Yuhui Zhu, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Alberto Giaretta, Enlong Li, Lizhi Peng, Chuan Zhao, Mauro Conti:
Devils in the Clouds: An Evolutionary Study of Telnet Bot Loaders. ICC 2023: 2338-2344 - [c81]Yiwen Li, Shanshan Wang, Zhenxiang Chen, Xueyang Cao, Yadi Han:
Exploring Wi-Fi Privacy Disclosure: A Novel Approach to User Identity Prediction Based on Traffic Multi-level Information. ICPADS 2023: 2049-2056 - [c80]Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu:
Multimodal Fake News Detection Based on Multi-source Heterogeneous Data Fusion. PAAP 2023: 1-6 - [c79]Limei Huang, Shanshan Wang, Changlin Liu, Xueyang Cao, Yadi Han, Shaolei Liu, Zhenxiang Chen:
Low-Frequency Aware Unsupervised Detection of Dark Jargon Phrases on Social Platforms. PRICAI (2) 2023: 198-209 - [c78]Jun Xu, Shengnan Zhao, Chuan Zhao, Zhenxiang Chen, Zhe Liu, Liming Fang:
Practical Single-Round Secure Wildcard Pattern Matching. SEC 2023: 87-101 - [c77]Jin Au-Yeung, Shanshan Wang, Yuchen Liu, Zhenxiang Chen:
Safety or Not? A Comparative Study for Deep Learning Apps on Smartphones. TrustCom 2023: 109-116 - 2022
- [j34]Haixin Jia, Mohammed Shujaa Aldeen, Chuan Zhao, Shan Jing, Zhenxiang Chen:
Flexible privacy-preserving machine learning: When searchable encryption meets homomorphic encryption. Int. J. Intell. Syst. 37(11): 9173-9191 (2022) - [j33]Shuangrong Liu, Lin Wang, Bo Yang, Jin Zhou, Zhenxiang Chen, Huifen Dong:
Improvement of Neural-Network Classifiers Using Fuzzy Floating Centroids. IEEE Trans. Cybern. 52(3): 1392-1404 (2022) - [j32]Yuxi Xie, Min Qiu, Haibo Zhang, Lizhi Peng, Zhenxiang Chen:
Gaussian Distribution Based Oversampling for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. 34(2): 667-679 (2022) - [c76]Yanqiang Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jin Zhou, Jun Wu:
Fake News Detection Based on the Correlation Extension of Multimodal Information. APWeb/WAIM (1) 2022: 443-450 - [c75]Xueyang Cao, Shanshan Wang, Zhenxiang Chen, Xiaoqing Jiang, Weiliang Zheng, Yadi Han:
Decision-based adversarial attack for speaker recognition models. CSAI 2022: 278-283 - [c74]Nasimul Hasan, Zhenxiang Chen, Chuan Zhao, Yuhui Zhu, Cong Liu:
IoT Botnet Detection framework from Network Behavior based on Extreme Learning Machine. INFOCOM Workshops 2022: 1-6 - [c73]Wenyue Wang, Shanshan Wang, Daokuan Bai, Chuan Zhao, Lizhi Peng, Zhenxiang Chen:
SFMD: A Semi-Supervised Federated Malicious Traffic Detection Approach in IoT. ISPA/BDCloud/SocialCom/SustainCom 2022: 774-781 - [c72]Tianqi Ren, Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Jin Zhou:
Fake news detection method based on multi-feature fusion of entity and structured text. PAAP 2022: 1-6 - [c71]Youmian Wang, Bin Hu, Zhenxiang Chen, Xiaoqing Jiang, Wenjuan Liu, Peicheng Wang:
INSIDER: A framework for assessing confidence in psychological scales based on multi-modal physiological signal fusion. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1298-1303 - [i5]Yuhui Zhu, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Enlong Li, Lizhi Peng, Chuan Zhao:
Mining Function Homology of Bot Loaders from Honeypot Logs. CoRR abs/2206.00385 (2022) - [i4]Yuhui Zhu, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Alberto Giaretta, Enlong Li, Lizhi Peng, Chuan Zhao, Mauro Conti:
Devils in the Clouds: An Evolutionary Study of Telnet Bot Loaders. CoRR abs/2211.14790 (2022) - 2021
- [j31]Yong-Feng Ge, Jinli Cao, Hua Wang, Zhenxiang Chen, Yanchun Zhang:
Set-Based Adaptive Distributed Differential Evolution for Anonymity-Driven Database Fragmentation. Data Sci. Eng. 6(4): 380-391 (2021) - [j30]Zhihao Hou, Kun Ma, Yufeng Wang, Jia Yu, Ke Ji, Zhenxiang Chen, Ajith Abraham:
Attention-based learning of self-media data for marketing intention detection. Eng. Appl. Artif. Intell. 98: 104118 (2021) - [j29]Anli Yan, Zhenxiang Chen, Haibo Zhang, Lizhi Peng, Qiben Yan, Muhammad Umair Hassan, Chuan Zhao, Bo Yang:
Effective detection of mobile malware behavior based on explainable deep neural network. Neurocomputing 453: 482-492 (2021) - [j28]Lijun Sun, Qian Yang, Xiao Chen, Zhenxiang Chen:
RC-chain: Reputation-based crowdsourcing blockchain for vehicular networks. J. Netw. Comput. Appl. 176: 102956 (2021) - [c70]Qian Zhang, Shan Jing, Chuan Zhao, Bo Zhang, Zhenxiang Chen:
Efficient Federated Learning Framework Based on Multi-Key Homomorphic Encryption. 3PGCIC 2021: 88-105 - [c69]Hanchen Xu, Zhenxiang Chen, Shanshan Wang, Xiaoqing Jiang:
Chinese NER Using ALBERT and Multi-word Information. ACM TUR-C 2021: 141-145 - [c68]Nobukazu Yoshioka, Jati H. Husen, Hnin Thandar Tun, Zhenxiang Chen, Hironori Washizaki, Yoshiaki Fukazawa:
Landscape of Requirements Engineering for Machine Learning-based AI Systems. APSEC Workshops 2021: 5-8 - [c67]Zhenxiang Chen, Wangwang Yu, Haohan Bai, Yong Li:
An Arcloss-Based and Openset-Test-Oriented Finger Vein Recognition System. CCBR 2021: 287-294 - [c66]Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li:
Enhancing Fake News Classification by Generating Neural Fake Samples. DTPI 2021: 152-155 - [c65]Hao Li, Shanqing Guo, Peng Tang, Chengyu Hu, Zhenxiang Chen:
TranFuzz: An Ensemble Black-Box Attack Framework Based on Domain Adaptation and Fuzzing. ICICS (1) 2021: 260-275 - [c64]Cong Liu, Anli Yan, Zhenxiang Chen, Haibo Zhang, Qiben Yan, Lizhi Peng, Chuan Zhao:
IEdroid: Detecting Malicious Android Network Behavior Using Incremental Ensemble of Ensembles. ICPADS 2021: 788-795 - [c63]Gang Zhang, Hao Li, Zhenxiang Chen, Lizhi Peng, Yuhui Zhu, Chuan Zhao:
AndroCreme: Unseen Android Malware Detection Based on Inductive Conformal Learning. TrustCom 2021: 651-658 - [c62]Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu:
HACK: A Hierarchical Model for Fake News Detection. WISE (1) 2021: 565-572 - [c61]Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu:
Expert Recommendations with Temporal Dynamics of User Interest in CQA. WISE (1) 2021: 645-652 - 2020
- [j27]Ravinder Singh, Sudha Subramani, Jiahua Du, Yanchun Zhang, Hua Wang, Khandakar Ahmed, Zhenxiang Chen:
Deep Learning for Multi-Class Antisocial Behavior Identification From Twitter. IEEE Access 8: 194027-194044 (2020) - [j26]Jifeng Guo, Meihui Li, Lin Wang, Bo Yang, Liangliang Zhang, Zhenxiang Chen, Shi-Yuan Han, Laura García-Hernandez, Ajith Abraham:
Estimating cement compressive strength using three-dimensional microstructure images and deep belief network. Eng. Appl. Artif. Intell. 88 (2020) - [j25]Yufeng Wang, Kun Ma, Laura García-Hernández, Jing Chen, Zhihao Hou, Ke Ji, Zhenxiang Chen, Ajith Abraham:
A CLSTM-TMN for marketing intention detection. Eng. Appl. Artif. Intell. 91: 103595 (2020) - [j24]Qi Zhao, Chuan Zhao, Shujie Cui, Shan Jing, Zhenxiang Chen:
PrivateDL PrivateDL : Privacy-preserving collaborative deep learning against leakage from gradient sharing. Int. J. Intell. Syst. 35(8): 1262-1279 (2020) - [j23]Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lizhi Peng, Bo Yang, Mauro Conti:
Deep and broad URL feature mining for android malware detection. Inf. Sci. 513: 600-613 (2020) - [j22]Chuan Zhao, Shengnan Zhao, Bo Zhang, Shan Jing, Zhenxiang Chen, Minghao Zhao:
Oblivious DFA evaluation on joint input and its applications. Inf. Sci. 528: 168-180 (2020) - [j21]Anqi Teng, Lizhi Peng, Yuxi Xie, Haibo Zhang, Zhenxiang Chen:
Gradient descent evolved imbalanced data gravitation classification with an application on Internet video traffic identification. Inf. Sci. 539: 447-460 (2020) - [c60]Bing Han, Zhenxiang Chen, Cong Liu, Mingyue Shang:
Design and Implementation of Big Data Management Platform for Android Applications. ICBDT 2020: 36-40 - [c59]Zhenxiang Chen, Hironori Washizaki, Yoshiaki Fukazawa:
Automated Tool for Revising Masking MC/DC Test Suite. ISSRE Workshops 2020: 157-158 - [c58]Anli Yan, Zhenxiang Chen, Riccardo Spolaor, Shuaishuai Tan, Chuan Zhao, Lizhi Peng, Bo Yang:
Network-based Malware Detection with a Two-tier Architecture for Online Incremental Update. IWQoS 2020: 1-10 - [c57]Yong-Feng Ge, Jinli Cao, Hua Wang, Yanchun Zhang, Zhenxiang Chen:
Distributed Differential Evolution for Anonymity-Driven Vertical Fragmentation in Outsourced Data Storage. WISE (2) 2020: 213-226 - [i3]Lijun Sun, Qian Yang, Xiao Chen, Zhenxiang Chen:
RC-chain: Reputation-based Crowdsourcing Blockchain for Vehicular Networks. CoRR abs/2012.11120 (2020)
2010 – 2019
- 2019
- [j20]Yuxi Xie, Lizhi Peng, Zhenxiang Chen, Bo Yang, Hongli Zhang, Haibo Zhang:
Generative learning for imbalanced data using the Gaussian mixed model. Appl. Soft Comput. 79: 439-451 (2019) - [j19]Chuan Zhao, Shengnan Zhao, Minghao Zhao, Zhenxiang Chen, Chong-Zhi Gao, Hongwei Li, Yu-an Tan:
Secure Multi-Party Computation: Theory, practice and applications. Inf. Sci. 476: 357-372 (2019) - [j18]Ying Pang, Lizhi Peng, Zhenxiang Chen, Bo Yang, Hongli Zhang:
Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection. Inf. Sci. 484: 95-112 (2019) - [j17]Hanbo Deng, Lizhi Peng, Haibo Zhang, Bo Yang, Zhenxiang Chen:
Ranking-based biased learning swarm optimizer for large-scale optimization. Inf. Sci. 493: 120-137 (2019) - [j16]Shanshan Wang, Zhenxiang Chen, Qiben Yan, Bo Yang, Lizhi Peng, Zhongtian Jia:
A mobile malware detection method using behavior features in network traffic. J. Netw. Comput. Appl. 133: 15-25 (2019) - [c56]Ke Ji, Yahan Yuan, Kun Ma, Runyuan Sun, Zhenxiang Chen, Jun Wu:
Context-aware recommendations via a tree-based ensemble framework. ACM TUR-C 2019: 50:1-50:5 - [c55]Ke Ji, Yahan Yuan, Ruanyuan Sun, Lin Wang, Kun Ma, Zhenxiang Chen:
Abnormal telephone identification via an ensemble-based classification framework. ACM TUR-C 2019: 63:1-63:6 - [c54]Yahan Yuan, Ke Ji, Runyuan Sun, Kun Ma, Zhenxiang Chen, Lin Wang:
An Integration Method Of Classifiers For Abnormal Phone Detection. BESC 2019: 1-6 - [c53]Anqi Teng, Lizhi Peng, Yuxi Xie, Haibo Zhang, Zhenxiang Chen:
Imbalanced Data Gravitation Classification Model Using For Internet Video Traffic Identification. BigDataSecurity/HPSC/IDS 2019: 172-177 - [c52]Chuan Zhao, Shengnan Zhao, Bo Zhang, Shan Jing, Zhenxiang Chen, Minghao Zhao:
Towards Secure Computation of Similar Patient Query on Genomic Data Under Multiple Keys. CSS (2) 2019: 275-284 - [c51]Songqian Li, Kun Ma, Xuewei Niu, Yufeng Wang, Ke Ji, Ziqiang Yu, Zhenxiang Chen:
Stacking-Based Ensemble Learning on Low Dimensional Features for Fake News Detection. HPCC/SmartCity/DSS 2019: 2730-2735 - [c50]Cong Liu, Zhenxiang Chen, Dong Cao, Mingyue Shang:
Application of Recommender System in Intelligent Community under Big Data Scenario. ICBDT 2019: 92-96 - [c49]Hao Li, Zhenxiang Chen, Riccardo Spolaor, Qiben Yan, Chuan Zhao, Bo Yang:
DART: Detecting Unseen Malware Variants using Adaptation Regularization Transfer Learning. ICC 2019: 1-6 - [c48]Jian Liu, Ke Ji, Runyuan Sun, Kun Ma, Zhenxiang Chen, Lin Wang:
Abnormal Phone Analysis Based on Learning to Rank and Ensemble Learning in Environment of Telecom Big Data. ICMLC 2019: 301-305 - [c47]Yahan Yuan, Ke Ji, Runyuan Sun, Kun Ma, Zhenxiang Chen, Lin Wang:
An Abnormal Phone Identification Model with Meta-learning Two-layer Framework Based on PCA Dimension Reduction. ICMLC 2019: 511-515 - [c46]Ying Pang, Zhenxiang Chen, Lizhi Peng, Kun Ma, Chuan Zhao, Ke Ji:
A Signature-Based Assistant Random Oversampling Method for Malware Detection. TrustCom/BigDataSE 2019: 256-263 - 2018
- [j15]Chuan Zhao, Shengnan Zhao, Bo Zhang, Zhongtian Jia, Zhenxiang Chen, Mauro Conti:
Secure Comparison Under Ideal/Real Simulation Paradigm. IEEE Access 6: 31236-31248 (2018) - [j14]Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Zhongjie Yuan, Guandong Xu:
GIST: A generative model with individual and subgroup-based topics for group recommendation. Expert Syst. Appl. 94: 81-93 (2018) - [j13]Zhenxiang Chen, Qiben Yan, Hongbo Han, Shanshan Wang, Lizhi Peng, Lin Wang, Bo Yang:
Machine learning based mobile malware detection using highly imbalanced network traffic. Inf. Sci. 433-434: 346-364 (2018) - [j12]Zhiquan Feng, Bo Yang, Tao Xu, Xiaohui Yang, We Xie, Changsheng Ai, Zhenxiang Chen:
FM: Flexible mapping from one gesture to multiple semantics. Inf. Sci. 467: 654-669 (2018) - [j11]Shanshan Wang, Qiben Yan, Zhenxiang Chen, Bo Yang, Chuan Zhao, Mauro Conti:
Detecting Android Malware Leveraging Text Semantics of Network Flows. IEEE Trans. Inf. Forensics Secur. 13(5): 1096-1109 (2018) - [c45]Mohannad Alhanahnah, Qicheng Lin, Qiben Yan, Ning Zhang, Zhenxiang Chen:
Efficient Signature Generation for Classifying Cross-Architecture IoT Malware. CNS 2018: 1-9 - [c44]Changwei Cai, Shuangrong Liu, Lin Wang, Bo Yang, Zhenxiang Chen, Jin Zhou:
Optimizing floating centroids method neural network classifier using dynamic multilayer particle swarm optimization. GECCO 2018: 394-401 - [c43]Xuehui Zhu, He Zhang, Lin Wang, Bo Yang, Jin Zhou, Zhenxiang Chen, Ajith Abraham:
Improving Nearest Neighbor Partitioning Neural Network Classifier Using Multi-layer Particle Swarm Optimization. HIS 2018: 360-369 - [c42]Yuxi Xie, Hanbo Deng, Lizhi Peng, Zhenxiang Chen:
Accurate Identification of Internet Video Traffic Using Byte Code Distribution Features. ICA3PP (1) 2018: 46-58 - [c41]Anran Liu, Zhenxiang Chen, Shanshan Wang, Lizhi Peng, Chuan Zhao, Yuliang Shi:
A Fast and Effective Detection of Mobile Malware Behavior Using Network Traffic. ICA3PP (4) 2018: 109-120 - [c40]Qun Li, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Kun Ma, Yuliang Shi, Lizhen Cui:
MulAV: Multilevel and Explainable Detection of Android Malware with Data Fusion. ICA3PP (4) 2018: 166-177 - [c39]Yongzheng Lin, Hong Liu, Zhenxiang Chen, Kun Zhang, Kun Ma:
Adaptive Data Sampling Mechanism for Process Object. ICA3PP (1) 2018: 257-266 - [c38]Qi He, Zhenxiang Chen, Ke Ji, Lin Wang, Kun Ma, Chuan Zhao, Yuliang Shi:
Cluster Center Initialization and Outlier Detection Based on Distance and Density for the K-Means Algorithm. ISDA (1) 2018: 530-539 - [c37]Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lin Wang, Bo Yang, Mauro Conti:
Deep and Broad Learning Based Detection of Android Malware via Network Traffic. IWQoS 2018: 1-6 - [c36]Shanshan Wang, Qiben Yan, Zhenxiang Chen, Lin Wang, Riccardo Spolaor, Bo Yang, Mauro Conti:
Lexical Mining of Malicious URLs for Classifying Android Malware. SecureComm (1) 2018: 248-263 - [c35]Qi He, Zhenxiang Chen, Anli Yan, Lizhi Peng, Chuan Zhao, Yuliang Shi:
TrafficPSSF: A Fast and An Effective Malware Detection Under Online and Offline. SPAC 2018: 14-19 - [c34]Anli Yan, Zhenxiang Chen, Lin Wang, Lizhi Peng, Muhammad Umair Hassan, Chuan Zhao:
Neural Network Rule Extraction for Real Time Traffic Behavior Identification. SPAC 2018: 146-151 - [c33]Ke Ji, Yahan Yuan, Runyuan Sun, Kun Ma, Zhenxiang Chen, Jian Liu:
A Bagging-based ensemble method for recommendations under uncertain rating data. SPAC 2018: 446-450 - 2017
- [j10]Zhenxiang Chen, Zhusong Liu, Lizhi Peng