Raymond K. Wong

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 116

Top Venues

Publications

Hongkuan Wang, Raymond K. Wong, Kwok Leung Ong
A Data-Driven Approach for Building a Cardiovascular Disease Risk Prediction System. PKDD (4) (2024)
Eunkyung Park, Raymond K. Wong, Junbum Kwon
Can AI Outperform Human Experts in Creating Social Media Creatives? CoRR (2024)
Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu
A stable model for maximizing the number of significant features. Int. J. Data Sci. Anal. 17 (4) (2024)
Ruoyu Wang, Daniel Sun, Raymond K. Wong, Rajiv Ranjan
Horn rule discovery with batched caching and rule identifier for proficient compressor of knowledge data. Softw. Pract. Exp. 53 (3) (2023)
Eunkyung Park, Raymond K. Wong, Victor W. Chu
Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks. ECAI (2023)
Ruoyu Wang, Daniel Sun, Raymond K. Wong
Symbolic Minimization on Relational Data. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Quanyi Hu, Feng Wu, Raymond K. Wong, Richard C. Millham, Jinan Fiaidhi
A novel indoor localization system using machine learning based on bluetooth low energy with cloud computing. Computing 105 (3) (2023)
Han Tai, Raymond K. Wong, Bing Li
Effective Imbalance Learning Utilizing Informative Data. AusDM (2022)
Ruoyu Wang, Daniel Sun, Raymond K. Wong
RDF Knowledge Base Summarization by Inducing First-Order Horn Rules. ECML/PKDD (2) (2022)
Ruoyu Wang, Daniel Sun, Raymond K. Wong, Rajiv Ranjan, Albert Y. Zomaya
SInC: Semantic approach and enhancement for relational data compression. Knowl. Based Syst. 258 (2022)
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
Hybrid Variational Autoencoder for Recommender Systems. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Jinyan Li, Yaoyang Wu, Simon Fong, Raymond K. Wong, Victor W. Chu, Kok-Leong Ong, Kelvin Kian Loong Wong
Dynamic swarm class rebalancing for the process mining of rare events. J. Supercomput. 77 (7) (2021)
Rui Tang, Jie Yang, Simon Fong, Raymond K. Wong, Athanasios V. Vasilakos, Yu Chen
Dynamic group optimization algorithm with a mean-variance search framework. Expert Syst. Appl. 183 (2021)
Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong
Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction. Int. J. Data Sci. Anal. 12 (1) (2021)
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
Curvilinear Collaborative Metric Learning with Macro-micro Attentions. IJCNN (2021)
Haojie Huang, Raymond K. Wong
Attention-based Seq2seq Regularisation for Relation Extraction. IJCNN (2021)
Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu
Anchoring-and-Adjustment to Improve the Quality of Significant Features. WISE (1) (2021)
Haojie Huang, Raymond K. Wong
BiLSTM Embedding Pretraining for Relation Extraction. IJCNN (2021)
Kun Lan, Simon Fong, Liansheng Liu, Raymond K. Wong, Nilanjan Dey, Richard C. Millham, Kelvin Kian Loong Wong
A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring. Enterp. Inf. Syst. 15 (1) (2021)
Ka Yee Wong, Raymond K. Wong
Big data quality prediction informed by banking regulation. Int. J. Data Sci. Anal. 12 (2) (2021)
Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu
Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads. PAKDD (1) (2021)
Se-Hang Cheong, Yain-Whar Si, Raymond K. Wong
Online force-directed algorithms for visualization of dynamic graphs. Inf. Sci. 556 (2021)
Tengyue Li, Yaoyang Wu, Feng Wu, Sabah Mohammed, Raymond K. Wong, Kok-Leong Ong
Sleep pattern inference using IoT sonar monitoring and machine learning with Kennard-stone balance algorithm. Comput. Electr. Eng. 93 (2021)
B. S. Vidyalakshmi, Raymond K. Wong, Chi-Hung Chi
Health Mentions on Twitter: A Case Study to Identify Privacy Leaks. IEEE Consumer Electron. Mag. 9 (5) (2020)
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
Hybrid Learning with Teacher-student Knowledge Distillation for Recommenders. ICDM (Workshops) (2020)
Ka Yee Wong, Raymond K. Wong, Han Tai
Learning System Security Compliance for Banking. PACIS (2020)
Ka Yee Wong, Raymond K. Wong
Big Data Quality Prediction on Banking Applications: Extended Abstract. DSAA (2020)
Haojie Huang, Raymond K. Wong
Deep Embedding for Relation Extraction on Insufficient Labelled Data. IJCNN (2020)
Ruoyu Wang, Daniel Sun, Guoqiang Li, Raymond K. Wong, Shiping Chen
Pipeline provenance for cloud-based big data analytics. Softw. Pract. Exp. 50 (5) (2020)
Kun Lan, Liansheng Liu, Tengyue Li, Yuhao Chen, Simon Fong, João Alexandre Lôbo Marques, Raymond K. Wong, Rui Tang
Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection. Neural Comput. Appl. 32 (19) (2020)
Jialin Qiao, Xiangdong Huang, Jianmin Wang, Raymond K. Wong
Dual-PISA: An index for aggregation operations on time series data. Inf. Syst. 87 (2020)
Ruoyu Wang, Xiaobo Hu, Daniel Sun, Guoqiang Li, Raymond K. Wong, Shiping Chen, Jianquan Liu
Statistical Detection Of Collective Data Fraud. ICME (2020)
Iat Hang Fong, Tengyue Li, Simon Fong, Raymond K. Wong, Antonio J. Tallón-Ballesteros
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network. Knowl. Based Syst. 192 (2020)
Victor W. Chu, Raymond K. Wong, Fang Chen, Ivan Ho, Joe Lee
Enhancing portfolio return based on sentiment-of-topic. Data Knowl. Eng. 123 (2019)
Bowen Zhou, Raymond K. Wong, Victor W. Chu, Tengyue Li, Simon Fong, Chi-Hung Chi
Helpfulness-Aware Matrix Factorization for Cross-Category Service Recommendations. SCC (2019)
Haojie Huang, Raymond K. Wong
Reducing Feature Embedding Data for Discovering Relations in Big Text Data. BigData Congress (2019)
Jiuming Lu, Raymond K. Wong
Insider Threat Detection with Long Short-Term Memory. ACSW (2019)
Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong
Multitask Learning for Sparse Failure Prediction. PAKDD (1) (2019)
Haojie Huang, Raymond K. Wong
Web Service based Intelligent Search on Legal Documents. ACSW (2019)
Ka Yee Wong, Raymond K. Wong, Haojie Huang
Optimized Sequence Prediction of Risk Data for Financial Institutions. PRICAI (2) (2019)
Haojie Huang, Raymond K. Wong, Baoxiang Du, Hae Jin Han
Weakly-Supervised Relation Extraction in Legal Knowledge Bases. ICADL (2019)
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
Short-Term Memory Variational Autoencoder for Collaborative Filtering. PRICAI (2) (2019)
Asso Hamzehei, Raymond K. Wong, Danai Koutra, Fang Chen
Collaborative topic regression for predicting topic-based social influence. Mach. Learn. 108 (10) (2019)
Yan Zhong, Simon Fong, Shimin Hu, Raymond K. Wong, Weiwei Lin
A Novel Sensor Data Pre-Processing Methodology for the Internet of Things Using Anomaly Detection and Transfer-By-Subspace-Similarity Transformation. Sensors 19 (20) (2019)
Ka Yee Wong, Haojie Huang, Raymond K. Wong
Learning Data Quality Analytics for Financial Services. PACIS (2019)
Eunkyung Park, Raymond K. Wong, Victor W. Chu
Classifier Learning from Imbalanced Corpus by Autoencoded Over-Sampling. PRICAI (1) (2019)
Ka Yee Wong, Raymond K. Wong
An Efficient Risk Data Learning with LSTM RNN. AusDM (2019)
Chenxiao Dou, Yi Cui, Daniel Sun, Raymond K. Wong, Muhammad Atif, Guoqiang Li, Rajiv Ranjan
Unsupervised blocking and probabilistic parallelisation for record matching of distributed big data. J. Supercomput. 75 (2) (2019)
Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen
Leveraging Local Interactions for Geolocating Social Media Users. PAKDD (3) (2018)
Suash Deb, Zhonghuan Tian, Simon Fong, Raymond K. Wong, Richard C. Millham, Kelvin Kian Loong Wong
Elephant search algorithm applied to data clustering. Soft Comput. 22 (18) (2018)
Simon Fong, Jiaxue Li, Wei Song, Yifei Tian, Raymond K. Wong, Nilanjan Dey
Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall. J. Ambient Intell. Humaniz. Comput. 9 (4) (2018)
Suash Deb, Zhonghuan Tian, Simon Fong, Rui Tang, Raymond K. Wong, Nilanjan Dey
Solving permutation flow-shop scheduling problem by rhinoceros search algorithm. Soft Comput. 22 (18) (2018)
Zhonghuan Tian, Simon Fong, Suash Deb, Rui Tang, Raymond K. Wong
Vitality-based elephant search algorithm. Oper. Res. 18 (3) (2018)
Victor W. Chu, Raymond K. Wong, Chi-Hung Chi, Fang Chen
Extreme Topic Model for Market eAlert Service. SCC (2018)
Jinyan Li, Simon Fong, Raymond K. Wong, Victor W. Chu
Adaptive multi-objective swarm fusion for imbalanced data classification. Inf. Fusion 39 (2018)
Tianyong Hao, Raymond K. Wong, Zhe He, Haoran Xie, Tak-Lam Wong, Fu Lee Wang
Natural Language Processing Empowered Mobile Computing. Wirel. Commun. Mob. Comput. 2018 (2018)
Rui Tang, Simon Fong, Raymond K. Wong, Kelvin Kian Loong Wong
Dynamic Group Optimization Algorithm With Embedded Chaos. IEEE Access 6 (2018)
Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen
Twitter user geolocation by filtering of highly mentioned users. J. Assoc. Inf. Sci. Technol. 69 (7) (2018)
Mengyi Li, Chi-Hung Chi, Chen Ding, Raymond K. Wong, Zhong She
A Multi-protocol Authentication Shibboleth Framework and Implementation for Identity Federation. SecureComm (2) (2018)
Jinyan Li, Simon Fong, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi, Yunsick Sung
A suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets. Appl. Soft Comput. 69 (2018)
Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen
A Graph-Theoretic Summary Evaluation for Rouge. EMNLP (2018)
Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings. COLING (2018)
Rui Tang, Simon Fong, Suash Deb, Raymond K. Wong
Dynamic group search algorithm for solving an engineering problem. Oper. Res. 18 (3) (2018)
Asso Hamzehei, Shanqing Jiang, Danai Koutra, Raymond K. Wong, Fang Chen
Topic-based Social Influence Measurement for Social Networks. Australas. J. Inf. Syst. 21 (2017)
Chenxiao Dou, Daniel Sun, Guoqiang Li, Raymond K. Wong
Active Learning with Density-Initialized Decision Tree for Record Matching. SSDBM (2017)
Lingyan Zhang, Shangguang Wang, Raymond K. Wong, Fangchun Yang, Rong N. Chang
Cognitively Adjusting Imprecise User Preferences for Service Selection. IEEE Trans. Netw. Serv. Manag. 14 (3) (2017)
Simon Luo, Victor W. Chu, Jianlong Zhou, Fang Chen, Raymond K. Wong, Weidong Huang
A Multivariate Clustering Approach for Infrastructure Failure Predictions. BigData Congress (2017)
Simon Fong, Wei Song, Kyungeun Cho, Raymond K. Wong, Kelvin Kian Loong Wong
Training Classifiers with Shadow Features for Sensor-Based Human Activity Recognition. Sensors 17 (3) (2017)
Simon Fong, Shimin Hu, Wei Song, Kyungeun Cho, Raymond K. Wong, Sabah Mohammed
On Recognizing Abnormal Human Behaviours by Data Stream Mining with Misclassified Recalls. WWW (Companion Volume) (2017)
Jinyan Li, Simon Fong, Shimin Hu, Victor W. Chu, Raymond K. Wong, Sabah Mohammed, Nilanjan Dey
Rare Event Prediction Using Similarity Majority Under-Sampling Technique. SCDS (2017)
Xiangdong Huang, Jianmin Wang, Jialin Qiao, Liangfan Zheng, Jinrui Zhang, Raymond K. Wong
Performance and Replica Consistency Simulation for Quorum-Based NoSQL System Cassandra. Petri Nets (2017)
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
Prediction-as-a-Service for Meme Popularity. SCC (2017)
Victor W. Chu, Raymond K. Wong, Chi-Hung Chi, Wei Zhou, Ivan Ho
The design of a cloud-based tracker platform based on system-of-systems service architecture. Inf. Syst. Frontiers 19 (6) (2017)
Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen
Exploring Celebrities on Inferring User Geolocation in Twitter. PAKDD (1) (2017)
Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Simon Fong, Jinan Fiaidhi
An adaptive meta-heuristic search for the internet of things. Future Gener. Comput. Syst. 76 (2017)
Victor W. Chu, Raymond K. Wong, Simon Fong, Chi-Hung Chi
Emerging Service Orchestration Discovery and Monitoring. IEEE Trans. Serv. Comput. 10 (6) (2017)
Jinyan Li, Simon Fong, Shimin Hu, Raymond K. Wong, Sabah Mohammed
Similarity Majority Under-Sampling Technique for Easing Imbalanced Classification Problem. AusDM (2017)
Zhiwei Yu, Raymond K. Wong, Chi-Hung Chi
Efficient Role Mining for Context-Aware Service Recommendation Using a High-Performance Cluster. IEEE Trans. Serv. Comput. 10 (6) (2017)
Yan Zhuang, Simon Fong, Meng Yuan, Yunsick Sung, Kyungeun Cho, Raymond K. Wong
Location-based big data analytics for guessing the next Foursquare check-ins. J. Supercomput. 73 (7) (2017)
Rui Tang, Simon Fong, Nilanjan Dey, Raymond K. Wong, Sabah Mohammed
Cross Entropy Method Based Hybridization of Dynamic Group Optimization Algorithm. Entropy 19 (10) (2017)
Yan Zhuang, Simon Fong, Meng Yuan, Yunsick Sung, Kyungeun Cho, Raymond K. Wong
Predicting the next turn at road junction from big traffic data. J. Supercomput. 73 (7) (2017)
Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen
A Semantically Motivated Approach to Compute ROUGE Scores. CoRR (2017)
Victor W. Chu, Raymond K. Wong, Fang Chen, Ivan Ho, Joe Lee
Market-sentiment boosted predictions on multi-type time-series. ACSW (2016)
Victor W. Chu, Raymond K. Wong, Fang Chen, Simon Fong, Patrick C. K. Hung
Self-regularized causal structure discovery for trajectory-based networks. J. Comput. Syst. Sci. 82 (4) (2016)
Zhonghuan Tian, Simon Fong, Raymond K. Wong, Richard C. Millham
Elephant search algorithm on data clustering. ICNC-FSKD (2016)
Raymond K. Wong, B. S. Vidyalakshmi
Privacy Leakage via Attribute Inference in Directed Social Networks. ICICS (2016)
Xueyuan Gong, Simon Fong, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi, Athanasios V. Vasilakos
Discovering sub-patterns from time series using a normalized cross-match algorithm. J. Supercomput. 72 (10) (2016)
B. S. Vidyalakshmi, Raymond K. Wong
Is it Good or Bad? Disclosure of Medical Ailments on Twitter. ICICS (2016)
Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Joe Lee
A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction. PAKDD Workshops (2016)
Ricardo Brito, Simon Fong, Kyungeun Cho, Wei Song, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi
GPU-enabled back-propagation artificial neural network for digit recognition in parallel. J. Supercomput. 72 (10) (2016)
Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen
A Query-Based Summarization Service from Multiple News Sources. SCC (2016)
Rui Tang, Qun Song, Simon Fong, Raymond K. Wong
Improving Metaheuristics by Natural Selection. IIAI-AAI (2016)
Zhonghuan Tian, Simon Fong, Raymond K. Wong, Richard C. Millham
Optimizing self-adaptive gender ratio of elephant search algorithm by min-max strategy. ICNC-FSKD (2016)
Simon Fong, Xi Wang, Qiwen Xu, Raymond K. Wong, Jinan Fiaidhi, Sabah Mohammed
Recent advances in metaheuristic algorithms: Does the Makara dragon exist? J. Supercomput. 72 (10) (2016)
Simon Fong, Meng Yuen, Raymond K. Wong, Wei Song, Kyungeun Cho
Real-Time Stream Mining Electric Power Consumption Data Using Hoeffding Tree with Shadow Features. ADMA (2016)
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
Service Selection Based on Dynamic QoS Networks. SCC (2016)
B. S. Vidyalakshmi, Raymond K. Wong, Chi-Hung Chi
User Attribute Inference in Directed Social Networks as a Service. SCC (2016)
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
Interrelationships of Service Orchestrations. ADMA (2016)
Peizhi Shao, Jiuming Lu, Raymond K. Wong, Wenzhuo Yang
A Transparent Learning Approach for Attack Prediction Based on User Behavior Analysis. ICICS (2016)
Xiangdong Huang, Jianmin Wang, Raymond K. Wong, Jinrui Zhang, Chen Wang
PISA: An Index for Aggregating Big Time Series Data. CIKM (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raymond K. Wong