Lizhi Peng
Orcid: 0000-0002-6009-522X
According to our database1,
Lizhi Peng
authored at least 85 papers
between 2006 and 2025.
Collaborative distances:
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Bibliography
2025
Pattern Recognit., 2025
2024
Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach.
IEEE Trans. Knowl. Data Eng., November, 2024
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference.
CoRR, 2024
HRU-Net: A high-resolution convolutional neural network for esophageal cancer radiotherapy target segmentation.
Comput. Methods Programs Biomed., 2024
2023
Pattern Recognit., July, 2023
CoRR, 2023
Proceedings of the Knowledge Science, Engineering and Management, 2023
Sketch-based Real-time Intrusion Detection Framework for Industrial Internet of Things.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
D-CoA: Probability Density-based Confidence Assignment Semi-Supervised Clustering Ensemble.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
A Novel Adaptive Distribution Distance-Based Feature Selection Method for Video Traffic Identification.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
J. Ambient Intell. Humaniz. Comput., 2022
J. Ambient Intell. Humaniz. Comput., 2022
An early stage convolutional feature extracting method using for mining traffic detection.
Comput. Commun., 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022
Proceedings of the IEEE International Performance, 2022
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022
2021
Effective detection of mobile malware behavior based on explainable deep neural network.
Neurocomputing, 2021
Similarity-evaluation-based evolving of flexible neural trees for imbalanced classification.
Appl. Soft Comput., 2021
Proceedings of the 20th IEEE International Conference on Trust, 2021
IEdroid: Detecting Malicious Android Network Behavior Using Incremental Ensemble of Ensembles.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
2020
Gradient descent evolved imbalanced data gravitation classification with an application on Internet video traffic identification.
Inf. Sci., 2020
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020
An Imbalanced Learning Based Method for Esophageal Squamous Cell Carcinoma (ESCC) Distant Metastasis Predicting.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020
Network-based Malware Detection with a Two-tier Architecture for Online Incremental Update.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020
2019
J. Netw. Comput. Appl., 2019
Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection.
Inf. Sci., 2019
Inf. Sci., 2019
Appl. Soft Comput., 2019
Proceedings of the 18th IEEE International Conference On Trust, 2019
A Prognosis Method for Esophageal Squamous Cell Carcinoma Based on CT Image and Three-Dimensional Convolutional Neural Networks.
Proceedings of the Intelligent Systems Design and Applications, 2019
Imbalanced Data Gravitation Classification Model Using For Internet Video Traffic Identification.
Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019
2018
Machine learning based mobile malware detection using highly imbalanced network traffic.
Inf. Sci., 2018
Proceedings of the 2018 International Conference on Security, 2018
Proceedings of the 2018 International Conference on Security, 2018
Proceedings of the 2018 International Conference on Security, 2018
An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
Accurate Identification of Internet Video Traffic Using Byte Code Distribution Features.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
2017
Adaptive Message Routing and Replication in Mobile Opportunistic Networks for Connected Communities.
ACM Trans. Internet Techn., 2017
Soft Comput., 2017
Soft Comput., 2017
Inf. Sci., 2017
Imbalanced traffic identification using an imbalanced data gravitation-based classification model.
Comput. Commun., 2017
Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Grids.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Effectiveness of Statistical Features for Early Stage Internet Traffic Identification.
Int. J. Parallel Program., 2016
DroidCollector: A High Performance Framework for High Quality Android Traffic Collection.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016
TrafficAV: An effective and explainable detection of mobile malware behavior using network traffic.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016
Proceedings of the 12th International Conference on Natural Computation, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Early Stage Internet Traffic Identification Using Data Gravitation Based Classification.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016
2015
Neurocomputing, 2015
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Using Map-Based Interactive Interface for Understanding and Characterizing Crime Data in Cities.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015
High Performance NetFPGA and Multi-fractal Wavelet Model Based Network Traffic Generator.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
2014
Inf. Sci., 2014
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014
Hierarchical RBF Neural Network Using for Early Stage Internet Traffic Identification.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
2011
2010
Proceedings of the 18th International Workshop on Quality of Service, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
2009
Online hybrid traffic classifier for Peer-to-Peer systems based on network processors.
Appl. Soft Comput., 2009
2007
Automatic Design of Hierarchical Takagi-Sugeno Type Fuzzy Systems Using Evolutionary Algorithms.
IEEE Trans. Fuzzy Syst., 2007
A Novel Improvement of Neural Network Classification Using Further Division of Partition Space.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007
2006
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
A DGC-Based Data Classification Method Used for Abnormal Network Intrusion Detection.
Proceedings of the Neural Information Processing, 13th International Conference, 2006