A DGC-Based Data Classification Method Used for Abnormal Network Intrusion Detection. - Bo Yang 001; Lizhi Peng; Yuehui Chen; Hanxing Liu; Runzhang Yuan (ICONIP (3), 2006)

Gene Expression Profiling Using Flexible Neural Trees. - Yuehui Chen; Lizhi Peng; Ajith Abraham (IDEAL, 2006)

A Novel Method of P2P Hosts Detection Based on Flexible Neural Tree. - Zhenxiang Chen; Haiyang Wang; Lizhi Peng; Bo Yang 001; Yuehui Chen (ISDA (2), 2006)

Hierarchical Radial Basis Function Neural Networks for Classification Problems. - Yuehui Chen; Lizhi Peng; Ajith Abraham (ISNN (1), 2006)

Exchange Rate Forecasting Using Flexible Neural Trees. - Yuehui Chen; Lizhi Peng; Ajith Abraham (ISNN (2), 2006)

Stock Index Modeling Using Hierarchical Radial Basis Function Networks. - Yuehui Chen; Lizhi Peng; Ajith Abraham (KES (3), 2006)

A Novel Improvement of Neural Network Classification Using Further Division of Partition Space. - Lin Wang 004; Bo Yang 001; Zhenxiang Chen; Ajith Abraham; Lizhi Peng (IWINAC (1), 2007)

Automatic Design of Hierarchical Takagi-Sugeno Type Fuzzy Systems Using Evolutionary Algorithms. - Yuehui Chen; Bo Yang 001; Ajith Abraham; Lizhi Peng (IEEE Trans. Fuzzy Syst., 2007)

Online hybrid traffic classifier for Peer-to-Peer systems based on network processors. - Zhenxiang Chen; Bo Yang 001; Yuehui Chen; Ajith Abraham; Crina Grosan; Lizhi Peng (Appl. Soft Comput., 2009)

Data gravitation based classification. - Lizhi Peng; Bo Yang 001; Yuehui Chen; Ajith Abraham (Inf. Sci., 2009)

Traffic classification using probabilistic neural networks. - Runyuan Sun; Bo Yang 001; Lizhi Peng; Zhenxiang Chen; Lei Zhang 085; Shan Jing (ICNC, 2010)

Traffic identification using flexible neural trees. - Lizhi Peng; Hongli Zhang 001; Bo Yang 001; Yuehui Chen; Mahmoud T. Qassrawi; Gang Lu (IWQoS, 2010)

A parallel evolving algorithm for flexible neural tree. - Lizhi Peng; Bo Yang 001; Lei Zhang 085; Yuehui Chen (Parallel Comput., 2011)

Hierarchical RBF Neural Network Using for Early Stage Internet Traffic Identification. - Lizhi Peng; Bo Yang 001; Yuehui Chen (CSE, 2014)

Feature Selection Toward Optimizing Internet Traffic Behavior Identification. - Zhenxiang Chen; Lizhi Peng; Shupeng Zhao; Lei Zhang 085; Shan Jing (ICA3PP (2), 2014)

Feature Evaluation for Early Stage Internet Traffic Identification. - Lizhi Peng; Hongli Zhang 001; Bo Yang 001; Yuehui Chen (ICA3PP (1), 2014)

A new approach for imbalanced data classification based on data gravitation. - Lizhi Peng; Hongli Zhang 001; Bo Yang 001; Yuehui Chen (Inf. Sci., 2014)

A Real-time Android Malware Detection System Based on Network Traffic Analysis. - Hongbo Han; Zhenxiang Chen; Qiben Yan; Lizhi Peng; Lei Zhang 085 (ICA3PP (3), 2015)

High Performance NetFPGA and Multi-fractal Wavelet Model Based Network Traffic Generator. - Zhenxiang Chen; Keke Wang; Lizhi Peng; Tao Sun; Lei Zhang 085 (ICSI (3), 2015)

Using Map-Based Interactive Interface for Understanding and Characterizing Crime Data in Cities. - Zhenxiang Chen; Qiben Yan; Lei Zhang 085; Lizhi Peng; Hongbo Han (ICSI (3), 2015)

A First Look at Android Malware Traffic in First Few Minutes. - Zhenxiang Chen; Hongbo Han; Qiben Yan; Bo Yang 001; Lizhi Peng; Lei Zhang 085; Jin Li 002 (TrustCom/BigDataSE/ISPA (1), 2015)

Effective packet number for early stage internet traffic identification. - Lizhi Peng; Bo Yang 001; Yuehui Chen (Neurocomputing, 2015)

Early Stage Internet Traffic Identification Using Data Gravitation Based Classification. - Lizhi Peng; Haibo Zhang 001; Bo Yang 001; Yuehui Chen; Xiaoqing Zhou (DASC/PiCom/DataCom/CyberSciTech, 2016)

SMOTE-DGC: An Imbalanced Learning Approach of Data Gravitation Based Classification. - Lizhi Peng; Haibo Zhang 001; Bo Yang 001; Yuehui Chen; Xiaoqing Zhou (ICIC (2), 2016)

Extraction of Feature Points on 3D Meshes Through Data Gravitation. - Chengwei Wang; Dan Kang; Xiuyang Zhao; Lizhi Peng; Caiming Zhang 001 (ICIC (2), 2016)

An under-sampling imbalanced learning of data gravitation based classification. - Lizhi Peng; Bo Yang 001; Yuehui Chen; Xiaoqing Zhou (ICNC-FSKD, 2016)

On the Effectiveness of Packet Sampling for Early Stage Traffic Identification. - Lizhi Peng; Haibo Zhang 001; Bo Yang 001; Majing Su; Yuehui Chen (iThings/GreenCom/CPSCom/SmartData, 2016)

On the Impact of Packet Inter Arrival Time for Early Stage Traffic Identification. - Linlin Wang; Lizhi Peng; Majing Su; Bo Yang 001; Xiaoqing Zhou (iThings/GreenCom/CPSCom/SmartData, 2016)

TrafficAV: An effective and explainable detection of mobile malware behavior using network traffic. - Shanshan Wang 003; Zhenxiang Chen; Lei Zhang 085; Qiben Yan; Bo Yang 001; Lizhi Peng; Zhongtian Jia (IWQoS, 2016)

DroidCollector: A High Performance Framework for High Quality Android Traffic Collection. - Dong Cao; Shanshan Wang 003; Qun Li; Zhenxiang Chen; Qiben Yan; Lizhi Peng; Bo Yang 001 (Trustcom/BigDataSE/ISPA, 2016)

Effectiveness of Statistical Features for Early Stage Internet Traffic Identification. - Lizhi Peng; Bo Yang 001; Yuehui Chen; Zhenxiang Chen (Int. J. Parallel Program., 2016)

Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Grids. - Sean Hsin-Shyuan Lee; Jeremiah D. Deng; Lizhi Peng; Martin K. Purvis; Maryam Purvis (ICONIP (4), 2017)

Imbalanced traffic identification using an imbalanced data gravitation-based classification model. - Lizhi Peng; Haibo Zhang 001; Yuehui Chen; Bo Yang 001 (Comput. Commun., 2017)

A fast feature weighting algorithm of data gravitation classification. - Lizhi Peng; Hongli Zhang 001; Haibo Zhang 001; Bo Yang 001 (Inf. Sci., 2017)

A novel semi-supervised learning method for Internet application identification. - Zhenxiang Chen; Zhusong Liu; Lizhi Peng; Lin Wang 004; Lei Zhang 085 (Soft Comput., 2017)

Flexible neural trees based early stage identification for IP traffic. - Zhenxiang Chen; Lizhi Peng; Chongzhi Gao; Bo Yang 001; Yuehui Chen; Jin Li 002 (Soft Comput., 2017)

Adaptive Message Routing and Replication in Mobile Opportunistic Networks for Connected Communities. - Haibo Zhang 001; Luming Wan; Yawen Chen 001; Laurence T. Yang; Lizhi Peng (ACM Trans. Internet Techn., 2017)

A Fast and Effective Detection of Mobile Malware Behavior Using Network Traffic. - Anran Liu; Zhenxiang Chen; Shanshan Wang 003; Lizhi Peng; Chuan Zhao; Yuliang Shi (ICA3PP (4), 2018)

Accurate Identification of Internet Video Traffic Using Byte Code Distribution Features. - Yuxi Xie; Hanbo Deng; Lizhi Peng; Zhenxiang Chen (ICA3PP (1), 2018)

An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids. - Sean Hsin-Shyuan Lee; Jeremiah D. Deng; Martin K. Purvis; Maryam Purvis; Lizhi Peng (PAKDD (Workshops), 2018)

TrafficPSSF: A Fast and An Effective Malware Detection Under Online and Offline. - Qi He; Zhenxiang Chen; Anli Yan; Lizhi Peng; Chuan Zhao; Yuliang Shi (SPAC, 2018)

Medical entity recognition of Esophageal Carcinoma based on word clustering. - Rui Wang 017; Jinfeng Zhao; Lizhi Peng; Bo Yang 001; Lin Wang 004; Baosheng Li (SPAC, 2018)

Neural Network Rule Extraction for Real Time Traffic Behavior Identification. - Anli Yan; Zhenxiang Chen; Lin Wang 004; Lizhi Peng; Muhammad Umair Hassan; Chuan Zhao (SPAC, 2018)

Machine learning based mobile malware detection using highly imbalanced network traffic. - Zhenxiang Chen; Qiben Yan; Hongbo Han; Shanshan Wang 003; Lizhi Peng; Lin Wang 004; Bo Yang 001 (Inf. Sci., 2018)

Imbalanced Data Gravitation Classification Model Using For Internet Video Traffic Identification. - Anqi Teng; Lizhi Peng; Yuxi Xie; Haibo Zhang 001; Zhenxiang Chen (BigDataSecurity/HPSC/IDS, 2019)

A Prognosis Method for Esophageal Squamous Cell Carcinoma Based on CT Image and Three-Dimensional Convolutional Neural Networks. - Kaipeng Fan; Jifeng Guo; Bo Yang 001; Lin Wang 004; Lizhi Peng; Baosheng Li; Jian Zhu; Ajith Abraham (ISDA, 2019)

A Signature-Based Assistant Random Oversampling Method for Malware Detection. - Ying Pang; Zhenxiang Chen; Lizhi Peng; Kun Ma 001; Chuan Zhao; Ke Ji (TrustCom/BigDataSE, 2019)

Generative learning for imbalanced data using the Gaussian mixed model. - Yuxi Xie; Lizhi Peng; Zhenxiang Chen; Bo Yang 001; Hongli Zhang 001; Haibo Zhang 001 (Appl. Soft Comput., 2019)

Ranking-based biased learning swarm optimizer for large-scale optimization. - Hanbo Deng; Lizhi Peng; Haibo Zhang 001; Bo Yang 001; Zhenxiang Chen (Inf. Sci., 2019)

Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection. - Ying Pang; Lizhi Peng; Zhenxiang Chen; Bo Yang 001; Hongli Zhang 001 (Inf. Sci., 2019)

A mobile malware detection method using behavior features in network traffic. - Shanshan Wang 003; Zhenxiang Chen; Qiben Yan; Bo Yang 001; Lizhi Peng; Zhongtian Jia (J. Netw. Comput. Appl., 2019)

Accelerating data gravitation-based classification using GPU. - Lizhi Peng; Haibo Zhang 001; Houcine Hassan; Yuehui Chen; Bo Yang 001 (J. Supercomput., 2019)

Network-based Malware Detection with a Two-tier Architecture for Online Incremental Update. - Anli Yan; Zhenxiang Chen; Riccardo Spolaor; Shuaishuai Tan; Chuan Zhao; Lizhi Peng; Bo Yang 001 (IWQoS, 2020)

An Imbalanced Learning Based Method for Esophageal Squamous Cell Carcinoma (ESCC) Distant Metastasis Predicting. - Xuemei Li; Bo Yang 001; Lizhi Peng; Baosheng Li; Jian Zhu (ML4CS (3), 2020)

A Novel Method to Classify Videos Based VBR Trace. - Xiaojie Yu; Min Qiu; Lizhi Peng (ML4CS (2), 2020)

Gradient descent evolved imbalanced data gravitation classification with an application on Internet video traffic identification. - Anqi Teng; Lizhi Peng; Yuxi Xie; Haibo Zhang 001; Zhenxiang Chen (Inf. Sci., 2020)

Deep and broad URL feature mining for android malware detection. - Shanshan Wang 003; Zhenxiang Chen; Qiben Yan; Ke Ji; Lizhi Peng; Bo Yang 001; Mauro Conti (Inf. Sci., 2020)

A Novel Feature Method for Fast Extraction of Mining Traffic. - Peifa Sun; Lizhi Peng; Bo Yang 001; Shuaili Liu (HPCC/DSS/SmartCity/DependSys, 2021)

IEdroid: Detecting Malicious Android Network Behavior Using Incremental Ensemble of Ensembles. - Cong Liu; Anli Yan; Zhenxiang Chen; Haibo Zhang 001; Qiben Yan; Lizhi Peng; Chuan Zhao (ICPADS, 2021)

AndroCreme: Unseen Android Malware Detection Based on Inductive Conformal Learning. - Gang Zhang; Hao Li; Zhenxiang Chen; Lizhi Peng; Yuhui Zhu; Chuan Zhao (TrustCom, 2021)

Similarity-evaluation-based evolving of flexible neural trees for imbalanced classification. - Min Qiu; Lizhi Peng; Ying Pang; Bo Yang 001; Panpan Li (Appl. Soft Comput., 2021)

Effective detection of mobile malware behavior based on explainable deep neural network. - Anli Yan; Zhenxiang Chen; Haibo Zhang 001; Lizhi Peng; Qiben Yan; Muhammad Umair Hassan; Chuan Zhao; Bo Yang 001 (Neurocomputing, 2021)

NB-Radar: An Effective Method for Detecting Local Network Behaviors. - Yihang Hao; Ting Wu; Lizhi Peng; Bo Yang 001 (ICCT, 2022)

Video traffic identification with a distribution distance-based feature selection. - Shuaili Liu; Licheng Zhang; Peifa Sun; Yingshuo Bao; Lizhi Peng (IPCCC, 2022)

SFMD: A Semi-Supervised Federated Malicious Traffic Detection Approach in IoT. - Wenyue Wang; Shanshan Wang 003; Daokuan Bai; Chuan Zhao; Lizhi Peng; Zhenxiang Chen (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Rule-Based Collaborative Learning with Heterogeneous Local Learning Models. - Ying Pang; Haibo Zhang 001; Jeremiah D. Deng; Lizhi Peng; Fei Teng 001 (PAKDD (1), 2022)

An early stage convolutional feature extracting method using for mining traffic detection. - Peifa Sun; Mengda Lyu; Hui Li; Bo Yang 001; Lizhi Peng (Comput. Commun., 2022)

Mining Function Homology of Bot Loaders from Honeypot Logs. - Yuhui Zhu; Zhenxiang Chen; Qiben Yan; Shanshan Wang 003; Enlong Li; Lizhi Peng; Chuan Zhao (CoRR, 2022)

Blind image separation based on attentional generative adversarial network. - Xiao Sun; Jindong Xu; Yongli Ma; Tianyu Zhao; Shifeng Ou; Lizhi Peng (J. Ambient Intell. Humaniz. Comput., 2022)

Community detection based on similarities of communication behavior in IP networks. - Shuzhuang Zhang; Yaning Zhang; Min Zhou; Lizhi Peng (J. Ambient Intell. Humaniz. Comput., 2022)

Gaussian Distribution Based Oversampling for Imbalanced Data Classification. - Yuxi Xie; Min Qiu; Haibo Zhang 001; Lizhi Peng; Zhenxiang Chen (IEEE Trans. Knowl. Data Eng., 2022)

An Early Stage Identification of Cryptomining Behavior with DNS Requests. - Hui Li; Yihang Hao; Mengda Lyu; Xiaojie Yu; Bo Yang 001; Lizhi Peng (ADMA (5), 2023)

A Novel Adaptive Distribution Distance-Based Feature Selection Method for Video Traffic Identification. - Licheng Zhang; Shuaili Liu; Qingsheng Yang; Zhongfeng Qu; Lizhi Peng (ADMA (4), 2023)

Adversarial Attack with Genetic Algorithm against IoT Malware Detectors. - Peng Yuan; Shanshan Wang 003; Chuan Zhao; Wenyue Wang; Daokuan Bai; Lizhi Peng; Zhenxiang Chen (ICC, 2023)

Devils in the Clouds: An Evolutionary Study of Telnet Bot Loaders. - Yuhui Zhu; Zhenxiang Chen; Qiben Yan; Shanshan Wang 003; Alberto Giaretta 001; Enlong Li; Lizhi Peng; Chuan Zhao; Mauro Conti (ICC, 2023)

D-CoA: Probability Density-based Confidence Assignment Semi-Supervised Clustering Ensemble. - Yaqi Li; Lizhi Peng; Yihang Hao; Hui Li; Xiang Chen; Bo Yang 001 (ICPADS, 2023)

Sketch-based Real-time Intrusion Detection Framework for Industrial Internet of Things. - Mengda Lyu; Lizhi Peng; Hui Li; Bo Yang 001; Xiang Chen (ICPADS, 2023)

Live-Stream Identification Based on Reasoning Network with Core Traffic Set. - Yingshuo Bao; Shuaili Liu; Zhongfeng Qu; Lizhi Peng (KSEM (2), 2023)

Video traffic identification with novel feature extraction and selection method. - Licheng Zhang; Shuaili Liu; Qingsheng Yang; Zhongfeng Qu; Lizhi Peng (CoRR, 2023)

ECM-EFS: An ensemble feature selection based on enhanced co-association matrix. - Ting Wu; Yihang Hao; Bo Yang 001; Lizhi Peng (Pattern Recognit., 2023)

Navigating the ethical landscape behind ChatGPT. - Lizhi Peng; Bo Zhao 036 (Big Data Soc., 2024)

HRU-Net: A high-resolution convolutional neural network for esophageal cancer radiotherapy target segmentation. - Muwei Jian; Chen Tao; Ronghua Wu; Haoran Zhang; Xiaoguang Li; Rui Wang 017; Yanlei Wang; Lizhi Peng; Jian Zhu (Comput. Methods Programs Biomed., 2024)

ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference. - Xiaojie Yu; Haibo Zhang 001; Lizhi Peng; Fengyang Sun; Jeremiah D. Deng (CoRR, 2024)

Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach. - Ying Pang; Haibo Zhang 001; Jeremiah D. Deng; Lizhi Peng; Fei Teng 001 (IEEE Trans. Knowl. Data Eng., 2024)

Imbalanced ensemble learning leveraging a novel data-level diversity metric. - Ying Pang; Lizhi Peng; Haibo Zhang 001; Zhenxiang Chen; Bo Yang 001 (Pattern Recognit., 2025)