Pattern Classification Using Support Vector Machine Ensemble. - Hyun-Chul Kim; Shaoning Pang 001; Hong-Mo Je; Daijin Kim 001; Sung Yang Bang (ICPR (2), 2002)

Membership Authentication in Dynamic Face Groups. - Shaoning Pang 001; Daijin Kim 001; Sung Yang Bang (ICPR (2), 2002)

Support Vector Machine Ensemble with Bagging. - Hyun-Chul Kim; Shaoning Pang 001; Hong-Mo Je; Daijin Kim 001; Sung Yang Bang (SVM, 2002)

Constructing support vector machine ensemble. - Hyun-Chul Kim; Shaoning Pang 001; Hong-Mo Je; Daijin Kim 001; Sung Yang Bang (Pattern Recognit., 2003)

Membership authentication in the dynamic group by face classification using SVM ensemble. - Shaoning Pang 001; Daijin Kim 001; Sung Yang Bang (Pattern Recognit. Lett., 2003)

Constructing SVM Multiple Tree for Face Membership Authentication. - Shaoning Pang 001 (ICBA, 2004)

One-Pass Incremental Membership Authentication by Face Classification. - Shaoning Pang 001; Seiichi Ozawa; Nikola K. Kasabov (ICBA, 2004)

Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment. - Snjezana Soltic; Shaoning Pang 001; Nikola K. Kasabov; Susan P. Worner; Lora Peacock (ICONIP, 2004)

SVM classification tree algorithm with application to face membership authentication. - Shaoning Pang 001 (IJCNN, 2004)

Inductive vs transductive inference, global vs local models: SVM, TSVM, and SVMT for gene expression classification problems. - Shaoning Pang 001; Nikola K. Kasabov (IJCNN, 2004)

A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (PRICAI, 2004)

Editorial. - Nikola K. Kasabov; Shaoning Pang 001 (Int. J. Comput. Syst. Signals, 2004)

Prediction of the suitability for image-matching based on self-similarity of vision contents. - Shaoning Pang 001; Hyun-Chul Kim; Daijin Kim 001; Sung Yang Bang (Image Vis. Comput., 2004)

Incremental learning for online face recognition. - Seiichi Ozawa; Soon Lee Toh; Shigeo Abe; Shaoning Pang 001; Nikola K. Kasabov (IJCNN, 2005)

Chunk Incremental LDA Computing on Data Streams. - Shaoning Pang 001; Seiichi Ozawa; Nikola K. Kasabov (ISNN (2), 2005)

Incremental learning of feature space and classifier for face recognition. - Seiichi Ozawa; Soon Lee Toh; Shigeo Abe; Shaoning Pang 001; Nikola K. Kasabov (Neural Networks, 2005)

Face membership authentication using SVM classification tree generated by membership-based LLE data partition. - Shaoning Pang 001; Daijin Kim 001; Sung Yang Bang (IEEE Trans. Neural Networks, 2005)

Incremental linear discriminant analysis for classification of data streams. - Shaoning Pang 001; Seiichi Ozawa; Nikola K. Kasabov (IEEE Trans. Syst. Man Cybern. Part B, 2005)

An Incremental Principal Component Analysis for Chunk Data. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (FUZZ-IEEE, 2006)

Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. - Shaoning Pang 001; Ilkka Havukkala; Nikola K. Kasabov (ISNN (2), 2006)

Investigating LLE Eigenface on Pose and Face Identification. - Shaoning Pang 001; Nikola K. Kasabov (ISNN (2), 2006)

Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery. - Ilkka Havukkala; Lubica Benuskova; Shaoning Pang 001; Vishal Jain; Rene Kroon; Nikola K. Kasabov (PRIB, 2006)

Incremental learning of feature space and classifier for on-line pattern recognition. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (Int. J. Knowl. Based Intell. Eng. Syst., 2006)

Evolving Connectionist Systems for Adaptive Sport Coaching. - Boris Bacic; Nikola K. Kasabov; Stephen G. MacDonell; Shaoning Pang 001 (ICONIP (2), 2007)

Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (ICONIP (2), 2007)

Classification consistency analysis for bootstrapping gene selection. - Shaoning Pang 001; Ilkka Havukkala; Yingjie Hu; Nikola K. Kasabov (Neural Comput. Appl., 2007)

Vision Based Mobile Robot for Indoor Environmental Security. - Sean W. Gordon; Shaoning Pang 001; Ryota Nishioka; Nikola K. Kasabov; Takeshi Yamakawa (ICONIP (1), 2008)

A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. - Masayuki Hisada; Seiichi Ozawa; Kau Zhang; Shaoning Pang 001; Nikola K. Kasabov (ICONIP (1), 2008)

Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. - Seiichi Ozawa; Kazuya Matsumoto; Shaoning Pang 001; Nikola K. Kasabov (ICONIP (1), 2008)

r-SVMT: Discovering the knowledge of association rule over SVM classification trees. - Shaoning Pang 001; Nikola K. Kasabov (IJCNN, 2008)

Incremental Learning of Chunk Data for Online Pattern Classification Systems. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (IEEE Trans. Neural Networks, 2008)

SVMT-Rule: Association Rule Mining Over SVM Classification Trees. - Shaoning Pang 001; Nikola K. Kasabov (Rule Extraction from Support Vector Machines, 2008)

Spanning SVM Tree for Personalized Transductive Learning. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Nikola K. Kasabov (ICANN (1), 2009)

Hierarchical Core Vector Machines for Network Intrusion Detection. - Ye Chen; Shaoning Pang 001; Nikola K. Kasabov; Tao Ban; Youki Kadobayashi (ICONIP (2), 2009)

String Kernel Based SVM for Internet Security Implementation. - Zbynek Michlovský; Shaoning Pang 001; Nikola K. Kasabov; Tao Ban; Youki Kadobayashi (ICONIP (2), 2009)

Adaptive incremental principal component analysis in nonstationary online learning environments. - Seiichi Ozawa; Yuki Kawashima; Shaoning Pang 001; Nikola K. Kasabov (IJCNN, 2009)

Curiosity driven incremental LDA agent active learning. - Shaoning Pang 001; Seiichi Ozawa; Nikola K. Kasabov (IJCNN, 2009)

Encoding and decoding the knowledge of association rules over SVM classification trees. - Shaoning Pang 001; Nikola K. Kasabov (Knowl. Inf. Syst., 2009)

Guest editorial: Thematic issue on 'Adaptive Soft Computing Techniques and Applications'. - Shaoning Pang 001; Tao Ban (Memetic Comput., 2009)

Factorizing Class Characteristics via Group MEBs Construction. - Ye Chen; Shaoning Pang 001; Nikola K. Kasabov (ICONIP (2), 2010)

Tuning N-gram String Kernel SVMs via Meta Learning. - Nuwan Gunasekara; Shaoning Pang 001; Nikola K. Kasabov (ICONIP (2), 2010)

Incremental and decremental LDA learning with applications. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Nikola K. Kasabov (IJCNN, 2010)

Effective and Adaptive Learning Based on Diversive/Specific Curiosity. - Naoki Shimo; Shaoning Pang 001; Keiichi Horio; Nikola K. Kasabov; Hakaru Tamukoh; Takanori Koga; Satoshi Sonoh; Hirohisa Isogai; Takeshi Yamakawa (Brain-Inspired Information Technology, 2010)

Personalized mode transductive spanning SVM classification tree. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Nikola K. Kasabov (Inf. Sci., 2011)

Correlation-aided support vector regression for forex time series prediction. - Shaoning Pang 001; Lei Song; Nikola K. Kasabov (Neural Comput. Appl., 2011)

Malicioius Software Detection Using Multiple Sequence Alignment and Data Mining. - Yi Chen; Ajit Narayanan; Shaoning Pang 001; Ban Tao (AINA, 2012)

The Effects of Different Representations on Malware Motif Identification. - Ajit Narayanan; Yi Chen; Shaoning Pang 001; Ban Tao (CIS, 2012)

Multiple sequence alignment and artificial neural networks for malicious software detection. - Yi Chen; Ajit Narayanan; Shaoning Pang 001; Ban Tao (ICNC, 2012)

Behavior Analysis of Long-term Cyber Attacks in the Darknet. - Tao Ban; Lei Zhu; Jumpei Shimamura; Shaoning Pang 001; Daisuke Inoue; Koji Nakao (ICONIP (5), 2012)

SDE-Driven Service Provision Control. - Gang Chen 002; Shaoning Pang 001; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (ICONIP (1), 2012)

Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis. - Anthony Lai; Lei Song; Yiming Peng; Peter Zhang; Qili Wang; Shaoning Pang 001 (ICONIP (5), 2012)

Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer. - Shaoning Pang 001; Fan Liu; Youki Kadobayashi; Tao Ban; Daisuke Inoue (ICONIP (1), 2012)

Class imbalance robust incremental LPSVM for data streams learning. - Lei Zhu; Shaoning Pang 001; Gang Chen 002; Abdolhossein Sarrafzadeh (IJCNN, 2012)

LDA Merging and Splitting With Applications to Multiagent Cooperative Learning and System Alteration. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Nikola K. Kasabov (IEEE Trans. Syst. Man Cybern. Part B, 2012)

An incremental learning approach to continuous image change detection. - Lei Song; Shaoning Pang 001; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (FSKD, 2013)

Referential kNN Regression for Financial Time Series Forecasting. - Tao Ban; Ruibin Zhang; Shaoning Pang 001; Abdolhossein Sarrafzadeh; Daisuke Inoue (ICONIP (1), 2013)

An Intelligent Agent Based Land Encroachment Detection Approach. - Simon Dacey; Lei Song; Shaoning Pang 001 (ICONIP (1), 2013)

Chunk incremental IDR/QR LDA learning. - Yiming Peng; Shaoning Pang 001; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (IJCNN, 2013)

Dynamic class imbalance learning for incremental LPSVM. - Shaoning Pang 001; Lei Zhu; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (Neural Networks, 2013)

Service Provision Control in Federated Service Providing Systems. - Gang Chen 002; Abdolhossein Sarrafzadeh; Shaoning Pang 001 (IEEE Trans. Parallel Distributed Syst., 2013)

Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method. - Gang Chen 002; Mengjie Zhang 001; Shaoning Pang 001; Colin Douch (ICONIP (3), 2014)

Analysis and Configuration of Boundary Difference Calculations. - Simon Dacey; Lei Song; Lei Zhu; Shaoning Pang 001 (ICONIP (3), 2014)

Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution. - Sreenivas Sremath Tirumala; Gang Chen 002; Shaoning Pang 001 (ICONIP (3), 2014)

Spatio-temporal PM2.5 prediction by spatial data aided incremental support vector regression. - Lei Song; Shaoning Pang 001; Ian Longley; Gustavo Olivares; Abdolhossein Sarrafzadeh (IJCNN, 2014)

A Learner-Independent Knowledge Transfer Approach to Multi-task Learning. - Shaoning Pang 001; Fan Liu; Youki Kadobayashi; Tao Ban; Daisuke Inoue (Cogn. Comput., 2014)

STRATUS: Towards Returning Data Control to Cloud Users. - Ryan K. L. Ko; Giovanni Russello; Richard Nelson; Shaoning Pang 001; Aloysius Cheang; Gillian Dobbie; Abdolhossein Sarrafzadeh; Sivadon Chaisiri; Muhammad Rizwan Asghar; Geoffrey Holmes 001 (ICA3PP (Workshops and Symposiums), 2015)

Adaptive Background Modeling for Land and Water Composition Scenes. - Jing Zhao; Shaoning Pang 001; Bruce Hartill; Abdolhossein Sarrafzadeh (ICIAP (2), 2015)

Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems. - Gang Chen 002; Colin Douch; Mengjie Zhang 001; Shaoning Pang 001 (ICONIP (2), 2015)

Behavior Based Darknet Traffic Decomposition for Malicious Events Identification. - Ruibin Zhang; Lei Zhu; Xiaosong Li; Shaoning Pang 001; Abdolhossein Sarrafzadeh; Dan Komosny (ICONIP (3), 2015)

A federated network online network traffics analysis engine for cybersecurity. - Shaoning Pang 001; Yiming Peng; Tao Ban; Daisuke Inoue; Abdolhossein Sarrafzadeh (IJCNN, 2015)

Generalized Compatible Function Approximation for Policy Gradient Search. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Shaoning Pang 001 (ICONIP (1), 2016)

A Combo Object Model for Maritime Boat Ramps Traffic Monitoring. - Jing Zhao; Shaoning Pang 001; Bruce Hartill; Abdolhossein Sarrafzadeh (ICONIP (1), 2016)

Object Trajectory Association Rules for Tracking Trailer Boat in Low-frame-rate Videos. - Jing Zhao; Shaoning Pang 001; Bruce Hartill; Abdolhossein Sarrafzadeh (ISNN, 2016)

Reverse replication of virtual machines (rRVM) for low latency and high availability services. - Muyang He; Shaoning Pang 001; Denis Lavrov; Ding Lu; Yuan Zhang; Abdolhossein Sarrafzadeh (UCC, 2016)

Towards Early Detection of Novel Attack Patterns through the Lens of a Large-Scale Darknet. - Tao Ban; Shaoning Pang 001; Masashi Eto; Daisuke Inoue; Koji Nakao; Runhe Huang (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Incremental and Decremental Max-Flow for Online Semi-Supervised Learning. - Lei Zhu; Shaoning Pang 001; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (IEEE Trans. Knowl. Data Eng., 2016)

UnitecDEAMP: Flow Feature Profiling for Malicious Events Identification in Darknet Space. - Ruibin Zhang; Chi Yang; Shaoning Pang 001; Hossein Sarrafzadeh (ATIS, 2017)

Detection of Botnet Activities Through the Lens of a Large-Scale Darknet. - Tao Ban; Lei Zhu; Jumpei Shimamura; Shaoning Pang 001; Daisuke Inoue; Koji Nakao (ICONIP (5), 2017)

Class-Wised Image Enhancement for Moving Object Detection at Maritime Boat Ramps. - Jing Zhao; Shaoning Pang 001; Bruce Hartill; Abdolhossein Sarrafzadeh (ICONIP (3), 2017)

A sandpile model for reliable actor-critic reinforcement learning. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Shaoning Pang 001 (IJCNN, 2017)

Privacy-Preserving Detection of Statically Mutually Exclusive Roles Constraints Violation in Interoperable Role-Based Access Control. - Meng Liu 007; Xuyun Zhang; Chi Yang; Shaoning Pang 001; Deepak Puthal; Kaijun Ren (TrustCom/BigDataSE/ICESS, 2017)

New mutation strategies of differential evolution based on clearing niche mechanism. - Yanan Li 003; Haixiang Guo; Xiao Liu; Yijing Li; Wenwen Pan 002; Bing Gong; Shaoning Pang 001 (Soft Comput., 2017)

Malicious Events Grouping via Behavior Based Darknet Traffic Flow Analysis. - Shaoning Pang 001; Dan Komosny; Lei Zhu; Ruibin Zhang; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (Wirel. Pers. Commun., 2017)

Deep Transfer Learning via Minimum Enclosing Balls. - Zhilong Deng; Fan Liu; Jiangjiang Zhao; Qiang Wei; Shaoning Pang 001; Yue Leng (ICONIP (3), 2018)

Task and Instance Quadratic Ordering for Active Online Multitask Learning. - Jing Zhao; Shaoning Pang 001; Iman Tabatabaei Ardekani; Yuji Sekiya; Daisuke Miyamoto (ICONIP (3), 2018)

Online Max-flow Learning via Augmenting and De-augmenting Path. - Shaoning Pang 001; Lei Zhu; Tao Ban; Kazushi Ikeda; Wangfei Zhang; Abdolhossein Sarrafzadeh; Takeshi Takahashi 001; Daisuke Inoue (IJCNN, 2018)

Urban air pollution alert service for smart cities. - Sandro Rodriguez Garzon; Sebastian Walther; Shaoning Pang 001; Bersant Deva; Axel Küpper (IOT, 2018)

Merging weighted SVMs for parallel incremental learning. - Lei Zhu; Kazushi Ikeda; Shaoning Pang 001; Tao Ban; Abdolhossein Sarrafzadeh (Neural Networks, 2018)

S-boxes Construction Based on Quantum Chaos and PWLCM Chaotic Mapping. - Jun Peng; Shaoning Pang 001; Du Zhang; Shangzhu Jin; Lixiao Feng; Zuojin Li (ICCI*CC, 2019)

Deep Learning for Combo Object Detection. - Jing Zhao; Iman Tabatabaei Ardekani; Shaoning Pang 001 (ICONIP (1), 2019)

Editorial. - Shaoning Pang 001; Xuyun Zhang; Kazushi Ikeda; Deepak Puthal; Jianxin Li 001; Abdolhossein Sarrafzadeh (Comput. Intell., 2019)

CDMC'19 - The 10th International Cybersecurity Data Mining Competition. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Jungsuk Song; Kaizhu Huang; Geongsen Poh; Iqbal Gondal; Kitsuchart Pasupa; Fadi A. Aloul (ICONIP (2), 2020)

Privacy-preserving matrix product based static mutual exclusive roles constraints violation detection in interoperable role-based access control. - Meng Liu 007; Yun Luo; Chi Yang; Shaoning Pang 001; Deepak Puthal; Kaijun Ren; Xuyun Zhang (Future Gener. Comput. Syst., 2020)

Coding Observer Nodes for Sybil Attacks Detection in Mobile Wireless Sensor Networks. - Bahman A. Sassani Sarrafpour; Abdulaziz Alomirah; Shaoning Pang 001; Soshian Sarrafpour (EUC, 2021)

Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds. - Yushu Zhang 001; Jiantao Zhou 001; Yong Xiang 001; Leo Yu Zhang; Fei Chen 003; Shaoning Pang 001; Xiaofeng Liao 001 (IEEE Trans. Big Data, 2021)

Diversified and Scalable Service Recommendation With Accuracy Guarantee. - Lina Wang; Xuyun Zhang; Tian Wang 001; Shaohua Wan 001; Gautam Srivastava 001; Shaoning Pang 001; Lianyong Qi (IEEE Trans. Comput. Soc. Syst., 2021)

Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment. - Lianyong Qi; Chunhua Hu 001; Xuyun Zhang; Mohammad Reza Khosravi; Suraj Sharma; Shaoning Pang 001; Tian Wang 001 (IEEE Trans. Ind. Informatics, 2021)

Tensor Mutual Information for Similarity Measurement of High-Dimensional Data: An Image Classification Perspective. - Joarder Kamruzzaman; Shaoning Pang 001; Liangfu Lu; Jianwei Liu (ICONIP (11), 2024)

The Path to Defence: A Roadmap to Characterising Data Poisoning Attacks on Victim Models. - Tarek Chaalan; Shaoning Pang 001; Joarder Kamruzzaman; Iqbal Gondal; Xuyun Zhang (ACM Comput. Surv., 2024)