Li L, Liu K, Ban X, Xie S (2025). A Comparative Study of Non-linear Modelling Capabilities of T-S Fuzzy Models and Back-Propagation Neural Networks, accepted, The 12th IEEE International Conference on Data Science and Advanced Analytics(DSAA).

Liu K, Li L, Ban X, Xie S (2025). EM Based Fuzzy Reinforcement Learning Control for Linear Systems with Input Saturation. In 2025 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) IEEE.10.1109/FUZZ62266.2025.11152163

Xie S and Wang X (2025). Classifying Disaster Tweets Using Natural Language Processing and Machine Learning, accepted by FAIML 2025.

Ren, H., Ban, X., & Xie, S. (2024). Optimizing Multi-Target Tracking Through Airborne Passive Sensor Management. In 2024 14th International Conference on Pattern Recognition Systems (ICPRS) (pp. 1-6). IEEE 10.1109/ICPRS62101.2024.10677818(Best Paper Award). 

Zhang J, Xie, S, Lawniczak A and Chua C (2024). Spatial and Spatio-temporal Modelling of Auto Insurance Claim Frequencies During Pre- and Post-COVID-19 Pandemic. the 11th International Conference on Data Science, Technology and Applications(DATA). 10.5220/0012830400003756

 Combert, F, Xie S, Lawniczak, A.T. (2024). A Novel K-Means Clustering under Bi-Partition of Feature Set. In Proceedings of the 2024 7th International Conference on Information Science and Systems (pp. 1-6). https://doi.org/10.1145/3700706.37007

Xie S and Zhang J, Lawniczak AT (2023). Handling Imbalanced Data in Linear Modelling of Fatality Rate of Auto Collision, ICISS '23: Proceedings of the 2023 6th International Conference on Information Science and Systems. August 2023, Pages 83–89. https://doi.org/10.1145/3625156.3625169

Xie S and Chua C, Lawniczak, AT (2023). Exploring Functional Patterns of Driving Records by Interacting with Major Classes and Territory Using Generalized Additive Models. DATA 2023: 271-278. https://doi.org/10.5220/0012068900003541

Xie S, Gan C (2022). Fuzzy Clustering and Non-negative Sparse Matrix Approximation on Estimating Territory Risk Relativities. In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-8). IEEE. 10.1109/FUZZ-IEEE55066.2022.9882750

Xie S, Gan C and Chua-Chow C (2021). Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models. In Proceedings of the 10th International Conference on Data Science, Technology and Applications, ISBN 978-989-758-521-0, ISSN 2184-285X, Pages 329-334. https://doi.org/10.5220/0010601003290334

Xie S and Chua-Chow C (2020). Improving Statistical Reporting Data Explainability via Principal Component Analysis. In Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-440-4, Pages 185-192. https://doi.org/10.5220/0009805901850192

Xie S, Lawniczak A, Hao J and Gan C (2019). Improving Data Explainability in Analysis of Designed Computer Simulation Experiments. IEEE Symposium Series on Computational Intelligence. 10.1109/SSCI44817.2019.9002677 (SJR: 0.19)

Xie S, and Krishnan S (2019). Feature Extraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA. EMBC 2019, 2551-2554. 10.1109/EMBC.2019.8856308 (SJR: 0.28)

Xie S, Lawniczak A (2019). Feature Extraction of EEG in Spectral Domain Via Functional Data Analysis. Vol 1, ICPRAM 2019 118-127. 10.5220/0007353301180127 (SJR: 0.17) 

Xie S, Wang Z, Lawniczak A (2017). Spatially Constrained Clustering to Define Geographical Rating Territories. Vol 1, ICPRAM 2017, 82-88. 10.5220/0006118100820088 (SJR: 0.17)

Lawniczak A, Ly L, Yu F and Xie S (2016). Effects of Model Parameter Interactions on Naive Creatures Succes of Learning to Cross a Highway. IEEE CEC 2016, 693-702. 10.1109/CEC.2016.7743860 (SJR: 0.16)

Xie S,  Lawniczak A, Krishnan S (2015). Learning Dictionary via Wavelet Sparse Principal Component Analysis. ICPRAM 2015, 199-203. (SJR: 0.17)

Xie S,  Krishnan S and Lawniczak A (2013). Analysis of Communication Network Surveillance Using Functional ANOVA Model with Unequal Variances. IEEE Symposium Series on Computational Intelligence for Security and Defense Applications, Page(s): 1 – 6. 10.1109/CISDA.2012.6291541 (SJR: 0.19)

Xie S,  Krishnan S and Lawniczak A (2012). Sparse Principal Component Extraction and Classification of Long-term Biomedical Signals. The 25th IEEE International Symposium on Computer-Based Medical Systems, Page(s) 1 – 6. 10.1109/CBMS.2012.6266371 (SJR: 0.17)

Xie S and Krishnan S (2012). Learning Sparse Dictionary for Long-term Signal Classification and Clustering. The 11thInternational Conference on Information Sciences, Signal Processing and their Applications, pp. 1151-1156.10.1109/ISSPA.2012.6310458

Xie S, Jin F, and Krishnan S (2011). Sparse Approximation of Long-term Biomedical Signals For Classification Via Dynamic PCA, in Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’11), Page(s): 7167 – 7170, Boston, 2011. 10.1109/IEMBS.2011.6091811 (SJR: 0.28)

Xie S and  Krishnan S (2011). Signal Decomposition by Multi-scale PCA and Its Applications to Long-term EEG Signal Classification, 2011 IEEE International Conference on Complex Medical Engineering, Page(s): 532 – 537, Harbin, 2011.10.1109/ICCME.2011.5876798

Xie S and Lawniczak A (2011). Detection of Stationary Network Load Increase Using Univariate Network Aggregate Traffic Data by Dynamic PCA. IEEE Symposium Series on Computational Intelligence for Security and Defense Applications, Page(s) 123-130, Paris, 2011. 10.1109/CISDA.2011.5945952 (SJR: 0.19)

Xie S, Lawniczak A and Lio` P (2010). Feature Extraction Via Wavelet Kernel PCA for Data Classification. In: Proceedings of 2010 IEEE International Workshop on Machine Learning for Signal Processing, Page(s): 438 – 443, Finland, 2010. 10.1109/MLSP.2010.5588766 (SJR: 0.22)

Xie S, Lawniczak A, Song Y and Lio` P (2010). Features Extraction via Dynamic PCA for Epilepsy Diagnosis and Epileptic Seizure Detection. In: Proceedings of 2010 IEEE International Workshop on Machine Learning for Signal Processing, Page(s): 337 – 342, Finland, 2010. 10.1109/MLSP.2010.5588995 (SJR: 0.22)

Xie S, Lio` P, and Lawniczak A (2009). A Comparative Study of Noise Effect on Wavelet Based De-Noising Methods. Proc. Of the 2009 IEEE TIC-STH Symposium on Emerging Scientific Methods and Technologies, Page(s) 919 – 926, Toronto, ON, Canada, 2009. 10.1109/TIC-STH.2009.5444365

Xie S, Lawniczak A and Lio` P (2008). Parametric & Non-parametric Analysis of Mean Treatment Effects of Number of Packets in Transit in Data Network Model. Symposium Communications and Networking, Proc.  21h IEEE CCECE 2008-CCGEI 2008, Page(s) 2021-2027, Niagara Falls, May 04-07, 2008. 0.1109/CCECE.2008.4564900

Lawniczak A and Xie S (2008). Study of Number of Packets in Transit in a Data Network Model Near Onset of Congestion Using Functional Fixed Effect Models. Symposium Communications and Networking, Proc.  21h IEEE CCECE 2008CCGEI 2008, Page(s) 1779-1785, Niagara Falls, May 04-07, 2008. 10.1109/CCECE.2008.4564851

Lawniczak A, Lio` P, Xie S and Xu J (2007). Study of Packet Traffic Fluctuations Near Phase Transition from Free Flow to Congestion in Data Network Model. Proc.  20th IEEE CCECE 2007-CCGEI 2007, Page(s) 360-363, Vancouver, BC, Canada, 22-26 April 2007. 10.1109/CCECE.2007.93

Lawniczak A, Lio` P, Xie S and Xu J (2007). Wavelet Spectral Analysis of Packet Traffic Near Phase Transition Point from Free Flow to Congestion in Data Network Model. Proc.  20th IEEE CCECE 2007-CCGEI 2007, Page(s) 364-367, Vancouver, BC, Canada, 22-26 April 2007. 10.1109/CCECE.2007.94