| 2024 | ICONIP | Tensor Mutual Information for Similarity Measurement of High-Dimensional Data: An Image Classification Perspective. | Joarder Kamruzzaman, Shaoning Pang, Liangfu Lu, Jianwei Liu |
| 2024 | TrustCom | Discriminating Malware Families using Partitional Clustering. | Pooja Mishra, Paul Black, Adil M. Bagirov, Shaoning Pang |
| 2021 | EUC | Coding Observer Nodes for Sybil Attacks Detection in Mobile Wireless Sensor Networks. | Bahman A. Sassani Sarrafpour, Abdulaziz Alomirah, Shaoning Pang, Soshian Sarrafpour |
| 2020 | ICONIP | CDMC'19 - The 10th International Cybersecurity Data Mining Competition. | Shaoning Pang, Tao Ban, Youki Kadobayashi, Jungsuk Song, Kaizhu Huang, Geongsen Poh, Iqbal Gondal, Kitsuchart Pasupa, Fadi A. Aloul |
| 2019 | ICONIP | Deep Learning for Combo Object Detection. | Jing Zhao, Iman Tabatabaei Ardekani, Shaoning Pang |
| 2018 | ICONIP | Deep Transfer Learning via Minimum Enclosing Balls. | Zhilong Deng, Fan Liu, Jiangjiang Zhao, Qiang Wei, Shaoning Pang, Yue Leng |
| 2018 | ICONIP | Task and Instance Quadratic Ordering for Active Online Multitask Learning. | Jing Zhao, Shaoning Pang, Iman Tabatabaei Ardekani, Yuji Sekiya, Daisuke Miyamoto |
| 2018 | IJCNN | Online Max-flow Learning via Augmenting and De-augmenting Path. | Shaoning Pang, Lei Zhu, Tao Ban, Kazushi Ikeda, Wangfei Zhang, Abdolhossein Sarrafzadeh, Takeshi Takahashi, Daisuke Inoue |
| 2017 | ICONIP | Detection of Botnet Activities Through the Lens of a Large-Scale Darknet. | Tao Ban, Lei Zhu, Jumpei Shimamura, Shaoning Pang, Daisuke Inoue, Koji Nakao |
| 2017 | ICONIP | Class-Wised Image Enhancement for Moving Object Detection at Maritime Boat Ramps. | Jing Zhao, Shaoning Pang, Bruce Hartill, Abdolhossein Sarrafzadeh |
| 2017 | IJCNN | A sandpile model for reliable actor-critic reinforcement learning. | Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang |
| 2017 | TrustCom | Privacy-Preserving Detection of Statically Mutually Exclusive Roles Constraints Violation in Interoperable Role-Based Access Control. | Meng Liu, Xuyun Zhang, Chi Yang, Shaoning Pang, Deepak Puthal, Kaijun Ren |
| 2016 | ICONIP | Generalized Compatible Function Approximation for Policy Gradient Search. | Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang |
| 2016 | ICONIP | A Combo Object Model for Maritime Boat Ramps Traffic Monitoring. | Jing Zhao, Shaoning Pang, Bruce Hartill, Abdolhossein Sarrafzadeh |
| 2016 | ISNN | Object Trajectory Association Rules for Tracking Trailer Boat in Low-frame-rate Videos. | Jing Zhao, Shaoning Pang, Bruce Hartill, Abdolhossein Sarrafzadeh |
| 2016 | UIC | Towards Early Detection of Novel Attack Patterns through the Lens of a Large-Scale Darknet. | Tao Ban, Shaoning Pang, Masashi Eto, Daisuke Inoue, Koji Nakao, Runhe Huang |
| 2016 | UCC | Reverse replication of virtual machines (rRVM) for low latency and high availability services. | Muyang He, Shaoning Pang, Denis Lavrov, Ding Lu, Yuan Zhang, Abdolhossein Sarrafzadeh |
| 2015 | ICA3PP | STRATUS: Towards Returning Data Control to Cloud Users. | Ryan K. L. Ko, Giovanni Russello, Richard Nelson, Shaoning Pang, Aloysius Cheang, Gillian Dobbie, Abdolhossein Sarrafzadeh, Sivadon Chaisiri, Muhammad Rizwan Asghar, Geoffrey Holmes |
| 2015 | ICIAP | Adaptive Background Modeling for Land and Water Composition Scenes. | Jing Zhao, Shaoning Pang, Bruce Hartill, Abdolhossein Sarrafzadeh |
| 2015 | ICONIP | Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems. | Gang Chen, Colin Douch, Mengjie Zhang, Shaoning Pang |
| 2015 | ICONIP | Behavior Based Darknet Traffic Decomposition for Malicious Events Identification. | Ruibin Zhang, Lei Zhu, Xiaosong Li, Shaoning Pang, Abdolhossein Sarrafzadeh, Dan Komosny |
| 2015 | IJCNN | A federated network online network traffics analysis engine for cybersecurity. | Shaoning Pang, Yiming Peng, Tao Ban, Daisuke Inoue, Abdolhossein Sarrafzadeh |
| 2014 | ICONIP | Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method. | Gang Chen, Mengjie Zhang, Shaoning Pang, Colin Douch |
| 2014 | ICONIP | Analysis and Configuration of Boundary Difference Calculations. | Simon Dacey, Lei Song, Lei Zhu, Shaoning Pang |
| 2014 | ICONIP | Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution. | Sreenivas Sremath Tirumala, Gang Chen, Shaoning Pang |
| 2014 | IJCNN | Spatio-temporal PM2.5 prediction by spatial data aided incremental support vector regression. | Lei Song, Shaoning Pang, Ian Longley, Gustavo Olivares, Abdolhossein Sarrafzadeh |
| 2013 | ICONIP | Referential kNN Regression for Financial Time Series Forecasting. | Tao Ban, Ruibin Zhang, Shaoning Pang, Abdolhossein Sarrafzadeh, Daisuke Inoue |
| 2013 | ICONIP | An Intelligent Agent Based Land Encroachment Detection Approach. | Simon Dacey, Lei Song, Shaoning Pang |
| 2013 | IJCNN | Chunk incremental IDR/QR LDA learning. | Yiming Peng, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue |
| 2012 | AINA | Malicioius Software Detection Using Multiple Sequence Alignment and Data Mining. | Yi Chen, Ajit Narayanan, Shaoning Pang, Ban Tao |
| 2012 | CIS | The Effects of Different Representations on Malware Motif Identification. | Ajit Narayanan, Yi Chen, Shaoning Pang, Ban Tao |
| 2012 | ICNC | Multiple sequence alignment and artificial neural networks for malicious software detection. | Yi Chen, Ajit Narayanan, Shaoning Pang, Ban Tao |
| 2012 | ICONIP | Behavior Analysis of Long-term Cyber Attacks in the Darknet. | Tao Ban, Lei Zhu, Jumpei Shimamura, Shaoning Pang, Daisuke Inoue, Koji Nakao |
| 2012 | ICONIP | SDE-Driven Service Provision Control. | Gang Chen, Shaoning Pang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue |
| 2012 | ICONIP | Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis. | Anthony Lai, Lei Song, Yiming Peng, Peter Zhang, Qili Wang, Shaoning Pang |
| 2012 | ICONIP | Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer. | Shaoning Pang, Fan Liu, Youki Kadobayashi, Tao Ban, Daisuke Inoue |
| 2012 | IJCNN | Class imbalance robust incremental LPSVM for data streams learning. | Lei Zhu, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh |
| 2010 | ICONIP | Factorizing Class Characteristics via Group MEBs Construction. | Ye Chen, Shaoning Pang, Nikola K. Kasabov |
| 2010 | ICONIP | Tuning N-gram String Kernel SVMs via Meta Learning. | Nuwan Gunasekara, Shaoning Pang, Nikola K. Kasabov |
| 2010 | IJCNN | Incremental and decremental LDA learning with applications. | Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov |
| 2009 | ICANN | Spanning SVM Tree for Personalized Transductive Learning. | Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov |
| 2009 | ICONIP | Hierarchical Core Vector Machines for Network Intrusion Detection. | Ye Chen, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi |
| 2009 | ICONIP | String Kernel Based SVM for Internet Security Implementation. | Zbynek Michlovsk, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi |
| 2009 | IJCNN | Adaptive incremental principal component analysis in nonstationary online learning environments. | Seiichi Ozawa, Yuki Kawashima, Shaoning Pang, Nikola K. Kasabov |
| 2009 | IJCNN | Curiosity driven incremental LDA agent active learning. | Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov |
| 2008 | ICONIP | Vision Based Mobile Robot for Indoor Environmental Security. | Sean W. Gordon, Shaoning Pang, Ryota Nishioka, Nikola K. Kasabov, Takeshi Yamakawa |
| 2008 | ICONIP | A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. | Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, Nikola K. Kasabov |
| 2008 | ICONIP | Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. | Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, Nikola K. Kasabov |
| 2008 | IJCNN | r-SVMT: Discovering the knowledge of association rule over SVM classification trees. | Shaoning Pang, Nikola K. Kasabov |
| 2007 | ICONIP | Evolving Connectionist Systems for Adaptive Sport Coaching. | Boris Bacic, Nikola K. Kasabov, Stephen G. MacDonell, Shaoning Pang |
| 2007 | ICONIP | Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. | Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov |
| 2006 | HIS | A Novel Microarray Gene Selection Method Based on Consistency. | Yingjie Hu, Shaoning Pang, Ilkka Havukkala |
| 2006 | ISNN | Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. | Shaoning Pang, Ilkka Havukkala, Nikola K. Kasabov |
| 2006 | ISNN | Investigating LLE Eigenface on Pose and Face Identification. | Shaoning Pang, Nikola K. Kasabov |
| 2005 | IJCNN | Incremental learning for online face recognition. | Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola K. Kasabov |
| 2005 | ISNN | Chunk Incremental LDA Computing on Data Streams. | Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov |
| 2004 | ICONIP | Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment. | Snjezana Soltic, Shaoning Pang, Nikola K. Kasabov, Susan P. Worner, Lora Peacock |
| 2004 | IJCNN | SVM classification tree algorithm with application to face membership authentication. | Shaoning Pang |
| 2004 | IJCNN | Inductive vs transductive inference, global vs local models: SVM, TSVM, and SVMT for gene expression classification problems. | Shaoning Pang, Nikola K. Kasabov |
| 2004 | PRICAI | A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. | Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov |
| 2002 | ICPR | Pattern Classification Using Support Vector Machine Ensemble. | Hyun-Chul Kim, Shaoning Pang, Hong-Mo Je, Daijin Kim, Sung Yang Bang |
| 2002 | ICPR | Membership Authentication in Dynamic Face Groups. | Shaoning Pang, Daijin Kim, Sung Yang Bang |