By Associate Professor Raymond Wong

Book Chapters

Wang R; Sun D; Wong R, 2023, 'RDF Knowledge Base Summarization by Inducing First-Order Horn Rules', in , pp. 188 - 204, http://dx.doi.org/10.1007/978-3-031-26390-3_12

Kwon J; Park E; Wong R; Chu V, 2022, 'Anchoring-and-Adjustment to Improve the Quality of Significant Features', in Zhang W; Zou L; Maamar Z; Chen L (ed.), International Conference on Web Information Systems Engineering, WISE 2021: Web Information Systems Engineering – WISE 2021, Springer, Cham, http://dx.doi.org/10.1007/978-3-030-90888-1_15

Park E; Wong RK; Kwon J; Chu VW, 2021, 'Anchoring-and-Adjustment to Improve the Quality of Significant Features', in , pp. 189 - 197, http://dx.doi.org/10.1007/978-3-030-90888-1_15

Park E; Wong RK; Kwon J; Chu VW, 2021, 'Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads', in Advances in Knowledge Discovery and Data Mining, Springer International Publishing, pp. 566 - 577, http://dx.doi.org/10.1007/978-3-030-75762-5_45

Li M; Chi C-H; Ding C; Wong R; She Z, 2018, 'A Multi-protocol Authentication Shibboleth Framework and Implementation for Identity Federation', in Security and Privacy in Communication Networks, Springer, Cham, pp. 81 - 101, http://dx.doi.org/10.1007/978-3-030-01704-0_5

Fong S; Song W; Wong R; Bhatt C; Korzun D, 2018, 'Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest', in Studies in Big Data, pp. 483 - 502, http://dx.doi.org/10.1007/978-3-319-60435-0_19

Hu S; Liu M; Fong S; Song W; Dey N; Wong R, 2018, 'Forecasting China Future MNP by Deep Learning', in International Series on Computer Entertainment and Media Technology, Springer International Publishing, pp. 169 - 210, http://dx.doi.org/10.1007/978-3-319-76430-6_8

Fong S; Hu S; Ren N; Song W; Cho K; Wong R; Mohammed S, 2018, 'Performance Evaluation of Shadow Features as a Data Preprocessing Method in Data Mining for Human Activities Recognitions', in International Series on Computer Entertainment and Media Technology, Springer International Publishing, pp. 41 - 66, http://dx.doi.org/10.1007/978-3-319-76430-6_2

Ebrahimi M; ShafieiBavani E; Wong R; Chen F, 2017, 'Exploring celebrities on inferring user geolocation in twitter', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, pp. 395 - 406, http://dx.doi.org/10.1007/978-3-319-57454-7_31

Gong X; Fong S; Si Y-W; Biuk-Aghai RP; Wong RK; Vasilakos AV, 2017, 'Erratum to: Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals', in Lecture Notes in Computer Science, Springer International Publishing, pp. E1 - E1, http://dx.doi.org/10.1007/978-3-319-42996-0_24

Fong S; Fang C; Tian N; Wong R; Yap BW, 2016, 'Self-Adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network', in International Series on Computer Entertainment and Media Technology, Springer International Publishing, pp. 175 - 196, http://dx.doi.org/10.1007/978-3-319-30146-4_8

Gebski M; Penev A; Wong RK, 2009, 'Protocol identification of encrypted network streams', in Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications, pp. 328 - 341, http://dx.doi.org/10.4018/978-1-60566-748-5.ch015

Journal articles

Wang R; Wong R; Sun D, 2024, 'Estimation-based optimizations for the semantic compression of RDF knowledge bases', Information Processing and Management, 61, http://dx.doi.org/10.1016/j.ipm.2024.103799

Park E; Wong RK; Kwon J; Chu VW, 2024, 'A stable model for maximizing the number of significant features', International Journal of Data Science and Analytics, 17, pp. 443 - 460, http://dx.doi.org/10.1007/s41060-023-00494-6

Wang R; Sun D; Wong RK, 2023, 'Symbolic Minimization on Relational Data', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 9307 - 9318, http://dx.doi.org/10.1109/TKDE.2022.3222827

Wang H; Tucker WJ; Jonnagaddala J; Schutte AE; Jalaludin B; Liaw ST; Rye KA; Wong RK; Ong KL, 2023, 'Using machine learning to predict cardiovascular risk using self-reported questionnaires: Findings from the 45 and Up Study', International Journal of Cardiology, 386, pp. 149 - 156, http://dx.doi.org/10.1016/j.ijcard.2023.05.030

Hu Q; Wu F; Wong RK; Millham RC; Fiaidhi J, 2023, 'A novel indoor localization system using machine learning based on bluetooth low energy with cloud computing', Computing, 105, pp. 689 - 715, http://dx.doi.org/10.1007/s00607-020-00897-4

Wang R; Sun D; Wong R; Ranjan R, 2023, 'Horn rule discovery with batched caching and rule identifier for proficient compressor of knowledge data', Software - Practice and Experience, 53, pp. 682 - 703, http://dx.doi.org/10.1002/spe.3165

Wang R; Sun D; Wong R; Ranjan R; Zomaya AY, 2022, 'SINC: Semantic approach and enhancement for relational data compression', Knowledge-Based Systems, 258, http://dx.doi.org/10.1016/j.knosys.2022.110001

Zhang H; Wong RK; Chu VW, 2022, 'Hybrid Variational Autoencoder for Recommender Systems', ACM Transactions on Knowledge Discovery from Data, 16, http://dx.doi.org/10.1145/3470659

Tang R; Yang J; Fong S; Wong R; Vasilakos AV; Chen Y, 2021, 'Dynamic group optimization algorithm with a mean–variance search framework', Expert Systems with Applications, 183, http://dx.doi.org/10.1016/j.eswa.2021.115434

Wong KY; Wong RK, 2021, 'Big data quality prediction informed by banking regulation', International Journal of Data Science and Analytics, 12, pp. 147 - 164, http://dx.doi.org/10.1007/s41060-021-00257-1

Li J; Wu Y; Fong S; Wong RK; Chu VW; Ong KL; Wong KKL, 2021, 'Dynamic swarm class rebalancing for the process mining of rare events', Journal of Supercomputing, 77, pp. 7549 - 7583, http://dx.doi.org/10.1007/s11227-020-03500-x

Zheng Y; Si YW; Wong R, 2021, 'Feature extraction for chart pattern classification in financial time series', Knowledge and Information Systems, 63, pp. 1807 - 1848, http://dx.doi.org/10.1007/s10115-021-01569-1

Li T; Wu Y; Wu F; Mohammed S; Wong RK; Ong KL, 2021, 'Sleep pattern inference using IoT sonar monitoring and machine learning with Kennard-stone balance algorithm', Computers and Electrical Engineering, 93, http://dx.doi.org/10.1016/j.compeleceng.2021.107181

Luo S; Chu VW; Li Z; Wang Y; Zhou J; Chen F; Wong RK, 2021, 'Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction', International Journal of Data Science and Analytics, 12, pp. 15 - 29, http://dx.doi.org/10.1007/s41060-020-00219-z

Cheong SH; Si YW; Wong RK, 2021, 'Online force-directed algorithms for visualization of dynamic graphs', Information Sciences, 556, pp. 223 - 255, http://dx.doi.org/10.1016/j.ins.2020.12.069

Lan K; Fong S; Liu LS; Wong RK; Dey N; Millham RC; Wong KKL, 2021, 'A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring', Enterprise Information Systems, 15, pp. 15 - 35, http://dx.doi.org/10.1080/17517575.2019.1597388

Lan K; Liu L; Li T; Chen Y; Fong S; Marques JAL; Wong RK; Tang R, 2020, 'Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection', Neural Computing and Applications, 32, pp. 15469 - 15488, http://dx.doi.org/10.1007/s00521-020-04769-y

B. S. V; Wong RK; Chi CH, 2020, 'Health Mentions on Twitter: A Case Study to Identify Privacy Leaks', IEEE Consumer Electronics Magazine, 9, pp. 85 - 90, http://dx.doi.org/10.1109/MCE.2020.2986802

Wang R; Hu X; Sun D; Li G; Wong R; Chen S; Liu J, 2020, 'Statistical detection of collective data fraud', Proceedings - IEEE International Conference on Multimedia and Expo, 2020-July, http://dx.doi.org/10.1109/ICME46284.2020.9102889

Fong IH; Li T; Fong S; Wong RK; Tallón-Ballesteros AJ, 2020, 'Predicting concentration levels of air pollutants by transfer learning and recurrent neural network', Knowledge-Based Systems, 192, http://dx.doi.org/10.1016/j.knosys.2020.105622

Qiao J; Huang X; Wang J; Wong RK, 2020, 'Dual-PISA: An index for aggregation operations on time series data', Information Systems, 87, http://dx.doi.org/10.1016/j.is.2019.101427

Hamzehei A; Wong RK; Koutra D; Chen F, 2019, 'Collaborative topic regression for predicting topic-based social influence', Machine Learning, 108, pp. 1831 - 1850, http://dx.doi.org/10.1007/s10994-018-05776-w

Zhong Y; Fong S; Hu S; Wong R; Lin W, 2019, 'A novel sensor data pre-processing methodology for the internet of things using anomaly detection and transfer-by-subspace-similarity transformation', Sensors (Switzerland), 19, http://dx.doi.org/10.3390/s19204536

Xie H; Wong TL; Wang FL; Wong R; Tao X; Wang R, 2019, 'Editorial: Affective and sentimental computing', International Journal of Machine Learning and Cybernetics, 10, pp. 2043 - 2044, http://dx.doi.org/10.1007/s13042-019-00977-8

Dou C; Cui Y; Sun D; Wong R; Atif M; Li G; Ranjan R, 2019, 'Unsupervised blocking and probabilistic parallelisation for record matching of distributed big data', Journal of Supercomputing, 75, pp. 623 - 645, http://dx.doi.org/10.1007/s11227-017-2008-8

Zeng D; Peng J; Fong S; Qiu Y; Wong R, 2018, 'Medical data mining in sentiment analysis based on optimized swarm search feature selection', Australasian Physical and Engineering Sciences in Medicine, 41, pp. 1087 - 1100, http://dx.doi.org/10.1007/s13246-018-0674-3

Tang R; Fong S; Deb S; Wong R, 2018, 'Dynamic group search algorithm for solving an engineering problem', Operational Research, 18, pp. 781 - 799, http://dx.doi.org/10.1007/s12351-017-0317-6

Tian Z; Fong S; Deb S; Tang R; Wong R, 2018, 'Vitality-based elephant search algorithm', Operational Research, 18, pp. 841 - 863, http://dx.doi.org/10.1007/s12351-018-0419-9

Deb S; Tian Z; Fong S; Wong R; Millham R; Wong KKL, 2018, 'Elephant search algorithm applied to data clustering', Soft Computing, 22, pp. 6035 - 6046, http://dx.doi.org/10.1007/s00500-018-3076-2

Deb S; Tian Z; Fong S; Tang R; Wong R; Dey N, 2018, 'Solving permutation flow-shop scheduling problem by rhinoceros search algorithm', Soft Computing, 22, pp. 6025 - 6034, http://dx.doi.org/10.1007/s00500-018-3075-3

Li J; Fong S; Wong RK; Mohammed S; Fiaidhi J; Sung Y, 2018, 'A suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets', Applied Soft Computing Journal, 69, pp. 784 - 805, http://dx.doi.org/10.1016/j.asoc.2017.11.028

Fong S; Li J; Song W; Tian Y; Wong RK; Dey N, 2018, 'Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall', Journal of Ambient Intelligence and Humanized Computing, 9, pp. 1197 - 1221, http://dx.doi.org/10.1007/s12652-018-0685-7

Ebrahimi M; ShafieiBavani E; Wong R; Chen F, 2018, 'Twitter user geolocation by filtering of highly mentioned users', Journal of the Association for Information Science and Technology, 69, pp. 879 - 889, http://dx.doi.org/10.1002/asi.24011

Tang R; Fong S; Wong RK; Wong KKL, 2018, 'Dynamic group optimization algorithm with embedded chaos', IEEE Access, 6, pp. 22728 - 22743, http://dx.doi.org/10.1109/ACCESS.2017.2724073

Li J; Fong S; Wong RK; Chu VW, 2018, 'Adaptive multi-objective swarm fusion for imbalanced data classification', Information Fusion, 39, pp. 1 - 24, http://dx.doi.org/10.1016/j.inffus.2017.03.007

Chi CH; Wong R; Lam KY, 2018, 'Guest Editorial: Special issue on behavior data analytics for cybersecurity', Journal of Internet Technology, 19, pp. 1543 - 1544

Hao T; Wong R; He Z; Xie H; Wong T-L; Wang FL, 2018, 'Natural Language Processing Empowered Mobile Computing', Wireless Communications and Mobile Computing, 2018, http://dx.doi.org/10.1155/2018/9130545

Duan K; Fong S; Song W; Vasilakos AV; Wong R, 2017, 'Energy-aware cluster reconfiguration algorithm for the big data analytics platform spark', Sustainability (Switzerland), 9, http://dx.doi.org/10.3390/su9122357

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