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Raymond K. Wong 0001
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- affiliation: University of New South Wales, Australia
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2020 – today
- 2024
- [j71]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): 443-460 (2024) - [c189]Shaowen Tang, Raymond K. Wong:
Adaptive Fraud Detection on e-Commerce Platforms. ECAI 2024: 2580-2587 - [c188]Hongkuan Wang, Raymond K. Wong, Kwok Leung Ong:
A Data-Driven Approach for Building a Cardiovascular Disease Risk Prediction System. PKDD (4) 2024: 271-283 - [i4]Eunkyung Park, Raymond K. Wong, Junbum Kwon:
Can AI Outperform Human Experts in Creating Social Media Creatives? CoRR abs/2404.00018 (2024) - 2023
- [j70]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): 689-715 (2023) - [j69]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): 682-703 (2023) - [j68]Ruoyu Wang, Daniel Sun, Raymond K. Wong:
Symbolic Minimization on Relational Data. IEEE Trans. Knowl. Data Eng. 35(9): 9307-9318 (2023) - [c187]Shaowen Tang, Raymond K. Wong:
Unsupervised Fraud Detection on Sparse Rating Networks. AusDM 2023: 19-33 - [c186]Eunkyung Park, Raymond K. Wong, Victor W. Chu:
Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks. ECAI 2023: 1843-1850 - 2022
- [j67]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: 110001 (2022) - [j66]Hangbin Zhang, Raymond K. Wong, Victor W. Chu:
Hybrid Variational Autoencoder for Recommender Systems. ACM Trans. Knowl. Discov. Data 16(2): 37:1-37:37 (2022) - [c185]Yankin Chi, Raymond K. Wong, John A. Shepherd:
Popularity Forecasting for Emerging Research Topics at Its Early Stage of Evolution. ADMA (1) 2022: 290-303 - [c184]Han Tai, Raymond K. Wong, Bing Li:
Effective Imbalance Learning Utilizing Informative Data. AusDM 2022: 99-114 - [c183]Yankin Chi, Raymond K. Wong, Hongkuan Wang, John Shepherd:
Incorporating neighborhood features in RNNs for popularity forecasting for emerging research fields. DSAA 2022: 1-10 - [c182]Ruoyu Wang, Daniel Sun, Raymond K. Wong:
RDF Knowledge Base Summarization by Inducing First-Order Horn Rules. ECML/PKDD (2) 2022: 188-204 - 2021
- [j65]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: 107181 (2021) - [j64]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): 15-35 (2021) - [j63]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: 115434 (2021) - [j62]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): 15-29 (2021) - [j61]Ka Yee Wong, Raymond K. Wong:
Big data quality prediction informed by banking regulation. Int. J. Data Sci. Anal. 12(2): 147-164 (2021) - [j60]Se-Hang Cheong, Yain-Whar Si, Raymond K. Wong:
Online force-directed algorithms for visualization of dynamic graphs. Inf. Sci. 556: 223-255 (2021) - [j59]Yuechu Zheng, Yain-Whar Si, Raymond Kwok-Kay Wong:
Feature extraction for chart pattern classification in financial time series. Knowl. Inf. Syst. 63(7): 1807-1848 (2021) - [j58]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): 7549-7583 (2021) - [c181]Haojie Huang, Raymond K. Wong:
BiLSTM Embedding Pretraining for Relation Extraction. IJCNN 2021: 1-8 - [c180]Haojie Huang, Raymond K. Wong:
Attention-based Seq2seq Regularisation for Relation Extraction. IJCNN 2021: 1-10 - [c179]Hangbin Zhang, Raymond K. Wong, Victor W. Chu:
Curvilinear Collaborative Metric Learning with Macro-micro Attentions. IJCNN 2021: 1-8 - [c178]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: 566-577 - [c177]Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu:
Anchoring-and-Adjustment to Improve the Quality of Significant Features. WISE (1) 2021: 189-197 - [i3]Ruoyu Wang, Daniel Sun, Guoqiang Li, Raymond K. Wong, Shiping Chen:
Essence of Factual Knowledge. CoRR abs/2107.00729 (2021) - 2020
- [j57]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): 85-90 (2020) - [j56]Jialin Qiao, Xiangdong Huang, Jianmin Wang, Raymond K. Wong:
Dual-PISA: An index for aggregation operations on time series data. Inf. Syst. 87 (2020) - [j55]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: 105622 (2020) - [j54]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): 15469-15488 (2020) - [j53]Ruoyu Wang, Daniel Sun, Guoqiang Li, Raymond K. Wong, Shiping Chen:
Pipeline provenance for cloud-based big data analytics. Softw. Pract. Exp. 50(5): 658-674 (2020) - [c176]Ka Yee Wong, Raymond K. Wong:
Big Data Quality Prediction on Banking Applications: Extended Abstract. DSAA 2020: 791-792 - [c175]Hangbin Zhang, Raymond K. Wong, Victor W. Chu:
Hybrid Learning with Teacher-student Knowledge Distillation for Recommenders. ICDM (Workshops) 2020: 227-235 - [c174]Ruoyu Wang, Xiaobo Hu, Daniel Sun, Guoqiang Li, Raymond K. Wong, Shiping Chen, Jianquan Liu:
Statistical Detection Of Collective Data Fraud. ICME 2020: 1-6 - [c173]Haojie Huang, Raymond K. Wong:
Deep Embedding for Relation Extraction on Insufficient Labelled Data. IJCNN 2020: 1-8 - [c172]Ka Yee Wong, Raymond K. Wong, Han Tai:
Learning System Security Compliance for Banking. PACIS 2020: 193
2010 – 2019
- 2019
- [j52]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) - [j51]Asso Hamzehei, Raymond K. Wong, Danai Koutra, Fang Chen:
Collaborative topic regression for predicting topic-based social influence. Mach. Learn. 108(10): 1831-1850 (2019) - [j50]Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Raymond K. Wong, Xiaohui Tao, Ran Wang:
Editorial: Affective and sentimental computing. Int. J. Mach. Learn. Cybern. 10(8): 2043-2044 (2019) - [j49]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): 4536 (2019) - [j48]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): 623-645 (2019) - [c171]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: 9-13 - [c170]Jiuming Lu, Raymond K. Wong:
Insider Threat Detection with Long Short-Term Memory. ACSW 2019: 1:1-1:10 - [c169]Haojie Huang, Raymond K. Wong:
Web Service based Intelligent Search on Legal Documents. ACSW 2019: 50:1-50:9 - [c168]Ka Yee Wong, Raymond K. Wong:
An Efficient Risk Data Learning with LSTM RNN. AusDM 2019: 116-128 - [c167]Haojie Huang, Raymond K. Wong:
Reducing Feature Embedding Data for Discovering Relations in Big Text Data. BigData Congress 2019: 179-183 - [c166]Haojie Huang, Raymond K. Wong, Baoxiang Du, Hae Jin Han:
Weakly-Supervised Relation Extraction in Legal Knowledge Bases. ICADL 2019: 263-270 - [c165]Ka Yee Wong, Haojie Huang, Raymond K. Wong:
Learning Data Quality Analytics for Financial Services. PACIS 2019: 67 - [c164]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: 3-14 - [c163]Eunkyung Park, Raymond K. Wong, Victor W. Chu:
Classifier Learning from Imbalanced Corpus by Autoencoded Over-Sampling. PRICAI (1) 2019: 16-29 - [c162]Ka Yee Wong, Raymond K. Wong, Haojie Huang:
Optimized Sequence Prediction of Risk Data for Financial Institutions. PRICAI (2) 2019: 364-378 - [c161]Hangbin Zhang, Raymond K. Wong, Victor W. Chu:
Short-Term Memory Variational Autoencoder for Collaborative Filtering. PRICAI (2) 2019: 595-607 - 2018
- [j47]Rui Tang, Simon Fong, Raymond K. Wong, Kelvin Kian Loong Wong:
Dynamic Group Optimization Algorithm With Embedded Chaos. IEEE Access 6: 22728-22743 (2018) - [j46]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: 784-805 (2018) - [j45]Jinyan Li, Simon Fong, Raymond K. Wong, Victor W. Chu:
Adaptive multi-objective swarm fusion for imbalanced data classification. Inf. Fusion 39: 1-24 (2018) - [j44]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): 1197-1221 (2018) - [j43]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): 879-889 (2018) - [j42]Rui Tang, Simon Fong, Suash Deb, Raymond K. Wong:
Dynamic group search algorithm for solving an engineering problem. Oper. Res. 18(3): 781-799 (2018) - [j41]Zhonghuan Tian, Simon Fong, Suash Deb, Rui Tang, Raymond K. Wong:
Vitality-based elephant search algorithm. Oper. Res. 18(3): 841-863 (2018) - [j40]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): 6025-6034 (2018) - [j39]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): 6035-6046 (2018) - [j38]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: 9130545:1-9130545:2 (2018) - [c160]Victor W. Chu, Raymond K. Wong, Chi-Hung Chi, Fang Chen:
Extreme Topic Model for Market eAlert Service. SCC 2018: 145-152 - [c159]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: 905-914 - [c158]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
A Graph-Theoretic Summary Evaluation for Rouge. EMNLP 2018: 762-767 - [c157]Antonio J. Tallón-Ballesteros, Simon James Fong, Raymond Kwok-Kay Wong:
An Empirical Study on Performance Server Analysis and URL Phishing Prevention to Improve System Management Through Machine Learning. GECON 2018: 199-207 - [c156]Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen:
Leveraging Local Interactions for Geolocating Social Media Users. PAKDD (3) 2018: 803-815 - [c155]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: 81-101 - 2017
- [j37]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) - [j36]Rui Tang, Simon Fong, Nilanjan Dey, Raymond K. Wong, Sabah Mohammed:
Cross Entropy Method Based Hybridization of Dynamic Group Optimization Algorithm. Entropy 19(10): 533 (2017) - [j35]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: 486-494 (2017) - [j34]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): 1283-1299 (2017) - [j33]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): 476 (2017) - [j32]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): 3112-3127 (2017) - [j31]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): 3128-3148 (2017) - [j30]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): 717-729 (2017) - [j29]Victor W. Chu, Raymond K. Wong, Simon Fong, Chi-Hung Chi:
Emerging Service Orchestration Discovery and Monitoring. IEEE Trans. Serv. Comput. 10(6): 889-901 (2017) - [j28]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): 914-926 (2017) - [c154]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Prediction-as-a-Service for Meme Popularity. SCC 2017: 386-393 - [c153]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: 78-98 - [c152]Jinyan Li, Simon Fong, Shimin Hu, Raymond K. Wong, Sabah Mohammed:
Similarity Majority Under-Sampling Technique for Easing Imbalanced Classification Problem. AusDM 2017: 3-23 - [c151]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: 274-281 - [c150]Bowen Zhou, Raymond K. Wong:
Effective Matrix Factorization for Online Rating Prediction. HICSS 2017: 1-10 - [c149]Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen:
Exploring Celebrities on Inferring User Geolocation in Twitter. PAKDD (1) 2017: 395-406 - [c148]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: 23-39 - [c147]Chenxiao Dou, Daniel Sun, Guoqiang Li, Raymond K. Wong:
Active Learning with Density-Initialized Decision Tree for Record Matching. SSDBM 2017: 14:1-14:12 - [c146]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: 1129-1135 - [i2]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
A Semantically Motivated Approach to Compute ROUGE Scores. CoRR abs/1710.07441 (2017) - 2016
- [j27]Jinyan Li, Simon Fong, Yunsick Sung, Kyungeun Cho, Raymond K. Wong, Kelvin Kian Loong Wong:
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification. BioData Min. 9: 37:1-37:15 (2016) - [j26]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): 594-609 (2016) - [j25]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): 3764-3786 (2016) - [j24]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): 3850-3867 (2016) - [j23]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): 3868-3886 (2016) - [j22]Simon Fong, Kexing Liu, Kyungeun Cho, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi:
Improvised methods for tackling big data stream mining challenges: case study of human activity recognition. J. Supercomput. 72(10): 3927-3959 (2016) - [j21]Suash Deb, Simon Fong, Zhonghuan Tian, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi:
Finding approximate solutions of NP-hard optimization and TSP problems using elephant search algorithm. J. Supercomput. 72(10): 3960-3992 (2016) - [j20]Ricardo Brito, Simon Fong, Kyungeun Cho, Wei Song, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi:
Towards implementation of residual-feedback GMDH neural network on parallel GPU memory guided by a regression curve. J. Supercomput. 72(10): 3993-4020 (2016) - [j19]Van Munin Chhieng, Raymond K. Wong, Simon Fong, Sabah Mohammed:
Autonomous path based data acquisition in sensor networks. J. Supercomput. 72(10): 4021-4042 (2016) - [j18]Simon Fong, Raymond K. Wong, Athanasios V. Vasilakos:
Accelerated PSO Swarm Search Feature Selection for Data Stream Mining Big Data. IEEE Trans. Serv. Comput. 9(1): 33-45 (2016) - [c145]B. S. Vidyalakshmi, Raymond K. Wong, Chi-Hung Chi:
User Attribute Inference in Directed Social Networks as a Service. SCC 2016: 9-16 - [c144]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
A Query-Based Summarization Service from Multiple News Sources. SCC 2016: 42-49 - [c143]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Service Selection Based on Dynamic QoS Networks. SCC 2016: 98-105 - [c142]Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Simon Fong:
A Generic Service Framework for Stock Market Prediction. SCC 2016: 283-290 - [c141]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
An Efficient Approach for Multi-Sentence Compression. ACML 2016: 414-429 - [c140]Victor W. Chu, Raymond K. Wong, Fang Chen, Ivan Ho, Joe Lee:
Market-sentiment boosted predictions on multi-type time-series. ACSW 2016: 31 - [c139]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Interrelationships of Service Orchestrations. ADMA 2016: 95-110 - [c138]Jinyan Li, Simon Fong, Meng Yuan, Raymond K. Wong:
Adaptive Multi-objective Swarm Crossover Optimization for Imbalanced Data Classification. ADMA 2016: 374-390 - [c137]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: 775-787 - [c136]Victor W. Chu, Fang Chen, Raymond K. Wong, Ivan Ho, Joe Lee:
Enhancing portfolio return based on market-sentiment linked topics. BigComp 2016: 85-92 - [c135]Ida Ip, Simon Fong, Yan Zhuang, Raymond K. Wong:
Competitive Intelligence Study on Macau Food and Beverage Industry. CCBD 2016: 170-174 - [c134]Xiangdong Huang, Jianmin Wang, Raymond K. Wong, Jinrui Zhang, Chen Wang:
PISA: An Index for Aggregating Big Time Series Data. CIKM 2016: 979-988 - [c133]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
Appraising UMLS Coverage for Summarizing Medical Evidence. COLING 2016: 513-524 - [c132]Peizhi Shao, Jiuming Lu, Raymond K. Wong, Wenzhuo Yang:
A Transparent Learning Approach for Attack Prediction Based on User Behavior Analysis. ICICS 2016: 159-172 - [c131]B. S. Vidyalakshmi, Raymond K. Wong:
Is it Good or Bad? Disclosure of Medical Ailments on Twitter. ICICS 2016: 262-277 - [c130]Raymond K. Wong, B. S. Vidyalakshmi:
Privacy Leakage via Attribute Inference in Directed Social Networks. ICICS 2016: 333-346 - [c129]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: 121-126 - [c128]Zhonghuan Tian, Simon Fong, Raymond K. Wong, Richard C. Millham:
Elephant search algorithm on data clustering. ICNC-FSKD 2016: 787-793 - [c127]Rui Tang, Qun Song, Simon Fong, Raymond K. Wong:
Improving Metaheuristics by Natural Selection. IIAI-AAI 2016: 588-592 - [c126]Xueyuan Gong, Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai, Raymond K. Wong, Athanasios V. Vasilakos:
Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals. PAKDD Workshops 2016: 169-180 - [c125]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: 227-237 - [c124]Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Simon Fong:
Effective Local Metric Learning for Water Pipe Assessment. PAKDD (1) 2016: 565-577 - [c123]Chenxiao Dou, Daniel Sun, Raymond K. Wong:
Unsupervised Blocking of Imbalanced Datasets for Record Matching. WISE (2) 2016: 172-186 - [i1]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
On Improving Informativity and Grammaticality for Multi-Sentence Compression. CoRR abs/1605.02150 (2016) - 2015
- [j17]Ryan H. Choi, Raymond K. Wong:
VXQ: A visual query language for XML data. Inf. Syst. Frontiers 17(4): 961-981 (2015) - [c122]B. S. Vidyalakshmi, Raymond K. Wong, Chi-Hung Chi:
Privacy Scoring of Social Network Users as a Service. SCC 2015: 218-225 - [c121]Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Chi-Hung Chi:
A New Meta-heuristic Approach for Efficient Search in the Internet of Things. SCC 2015: 264-270 - [c120]Asso Hamzehei, Mohammad Ebrahimi, Elahe Shafiee, Raymond K. Wong, Fang Chen:
Scalable Sentiment Analysis for Microblogs Based on Semantic Scoring. SCC 2015: 271-278 - [c119]Chao Xia, Chi-Hung Chi, Raymond K. Wong, Andreas Wombacher, Luís Ferreira Pires, Marten van Sinderen, Chen (Cherie) Ding:
Workflow-Based Service Selection under Multi-constraints. SCC 2015: 332-339 - [c118]Yunwei Zhao, Chi-Hung Chi, Chen (Cherie) Ding, Raymond K. Wong, Wei Zhao, Can Wang:
Hierarchical Clustering Using Homogeneity as Similarity Measure for Big Data Analytics. SCC 2015: 348-354 - [c117]Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang:
A Generic Ranking Service on Scientific Datasets. SCC 2015: 491-498 - [c116]Can Wang, Chi-Hung Chi, Wei Zhou, Raymond K. Wong:
Coupled Interdependent Attribute Analysis on Mixed Data. AAAI 2015: 1861-1867 - [c115]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Web Service Recommendations Based on Time-Aware Bayesian Networks. BigData Congress 2015: 359-366 - [c114]Simon Fong, Raymond K. Wong, Pit Pichappan:
Debunking the designs of contemporary nature-inspired computing algorithms: from moving particles to roaming elephants. FGCT 2015: 1-11 - [c113]Wei Song, Dong Wu, Raymond K. Wong, Simon Fong, Kyungeun Cho:
A real-time interactive data mining and visualization system using parallel computing. ICDIM 2015: 10-13 - [c112]Mojgan Ghanavati, Raymond K. Wong, Simon Fong, Mohammad Reza Gholamian:
Extending the grenade explosion approach for effective clustering. ICDIM 2015: 28-35 - [c111]Simon Fong, Elisa Gao, Raymond K. Wong:
Optimized Swarm Search-Based Feature Selection for Text Mining in Sentiment Analysis. ICDM Workshops 2015: 1153-1162 - [c110]Zhiwei Yu, Raymond K. Wong, Chi-Hung Chi, Fang Chen:
A Semi-supervised Learning Approach for Microblog Sentiment Classification. SmartCity 2015: 339-344 - [c109]B. S. Vidyalakshmi, Raymond K. Wong, Chi-Hung Chi:
Privacy Preserving Information Dispersal in Social Networks Based on Disposition to Privacy. SmartCity 2015: 372-377 - 2014
- [j16]Simon Fong, Suash Deb, Raymond K. Wong, Guangmin Sun:
Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis. Int. J. Distributed Sens. Networks 10 (2014) - [j15]Hedong Yang, Lijie Wen, Jianmin Wang, Raymond K. Wong:
CPL+: An improved approach for evaluating the local completeness of event logs. Inf. Process. Lett. 114(11): 607-610 (2014) - [j14]Raymond K. Wong, Victor W. Chu, Tianyong Hao:
Online role mining for context-aware mobile service recommendation. Pers. Ubiquitous Comput. 18(5): 1029-1046 (2014) - [j13]Jianmin Wang, Tao Jin, Raymond K. Wong, Lijie Wen:
Querying business process model repositories - A survey of current approaches and issues. World Wide Web 17(3): 427-454 (2014) - [c108]Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen, Chang-Shing Perng:
Traffic Analysis as a Service via a Unified Model. IEEE SCC 2014: 195-202 - [c107]B. S. Vidyalakshmi, Raymond K. Wong, Mojgan Ghanavati, Chi-Hung Chi:
Privacy as a Service in Social Network Communications. IEEE SCC 2014: 456-463 - [c106]Raymond K. Wong, Chi-Hung Chi, Zhiwei Yu, Yunwei Zhao:
A System of Systems Service Design for Social Media Analytics. IEEE SCC 2014: 789-796 - [c105]Tianjian Chen, Zhengrui Man, Hao Li, Xin Sun, Raymond K. Wong, Zhiwei Yu:
Building a Massive Stream Computing Platform for Flexible Applications. BigData Congress 2014: 414-421 - [c104]Wei Zhou, Chi-Hung Chi, Can Wang, Raymond K. Wong, Chen (Cherie) Ding:
Bridging the Gap between Spatial Data Sources and Mashup Applications. BigData Congress 2014: 554-561 - [c103]Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Chang-Shing Perng:
An Effective Integrated Method for Learning Big Imbalanced Data. BigData Congress 2014: 691-698 - [c102]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring. CIKM 2014: 1099-1108 - [c101]Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen:
Causal Structure Discovery for Spatio-temporal Data. DASFAA (1) 2014: 236-250 - [c100]Simon Fong, Justin Liang, Raymond K. Wong, Mojgan Ghanavati:
A novel feature selection by clustering coefficients of variations. ICDIM 2014: 205-213 - [c99]Victor W. Chu, Raymond K. Wong, Chi-Hung Chi, Patrick C. K. Hung:
Web Service Orchestration Topic Mining. ICWS 2014: 225-232 - [c98]Badari N. Thyamagondlu, Raymond K. Wong, B. S. Vidyalakshmi, Chi-Hung Chi:
An Interest-Aware Caching Scheme for Mobile Devices. IEEE MS 2014: 31-38 - 2013
- [j12]Yang Hang, Simon Fong, Raymond K. Wong, Guangmin Sun:
Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network. Int. J. Distributed Sens. Networks 9 (2013) - [j11]Raymond K. Wong:
Feasibility and a case study on content optimization services on cloud. Inf. Syst. Frontiers 15(4): 525-532 (2013) - [j10]Zaiwen Feng, Rong Peng, Raymond K. Wong, Keqing He, Jian Wang, Songlin Hu, Bing Li:
QoS-aware and multi-granularity service composition. Inf. Syst. Frontiers 15(4): 553-567 (2013) - [j9]Jianmin Wang, Raymond K. Wong, Jianwei Ding, Qinlong Guo, Lijie Wen:
Efficient Selection of Process Mining Algorithms. IEEE Trans. Serv. Comput. 6(4): 484-496 (2013) - [c97]Zhiwei Yu, Victor W. Chu, Raymond K. Wong:
Context-Aware Service Recommendation on High Performance Cluster. IEEE SCC 2013: 144-151 - [c96]Shuo Chen, Chi-Hung Chi, Chen (Cherie) Ding, Raymond K. Wong:
Data Decomposition Based Partial Replication Model for Software Services. IEEE SCC 2013: 256-263 - [c95]Victor W. Chu, Raymond K. Wong, Wuhui Chen, Incheon Paik, Chi-Hung Chi:
Service Discovery Based on Objective and Subjective Measures. IEEE SCC 2013: 360-367 - [c94]William M. Shui, Raymond K. Wong:
JetXSLT: A Resource-Conscious XSLT Processor. ADC 2013: 71-80 - [c93]Badari N. Thyamagondlu, Victor W. Chu, Raymond K. Wong:
A Bandwidth-Conscious Caching Scheme for Mobile Devices. BigData Congress 2013: 78-85 - [c92]B. S. Vidyalakshmi, Raymond K. Wong, Chi-Hung Chi:
Decentralized Trust Driven Access Control for Mobile Content Sharing. BigData Congress 2013: 239-246 - [c91]Zhiwei Yu, Raymond K. Wong, Chi-Hung Chi:
Scalable context-aware role mining with MapReduce. IEEE BigData 2013: 467-474 - [c90]Franky Lam, Raymond K. Wong:
Rotated Library Sort. CATS 2013: 21-26 - [c89]Victor W. Chu, Raymond K. Wong, Chi-Hung Chi:
Online Role Mining without Over-Fitting for Service Recommendation. ICWS 2013: 58-65 - [c88]Xiaolin Zhang, Chi-Hung Chi, Chen (Cherie) Ding, Raymond K. Wong:
Non-functional Requirement Analysis and Recommendation for Software Services. ICWS 2013: 555-562 - 2012
- [j8]Yang Hang, Simon Fong, Guangmin Sun, Raymond K. Wong:
A Very Fast Decision Tree Algorithm for Real-Time Data Mining of Imperfect Data Streams in a Distributed Wireless Sensor Network. Int. J. Distributed Sens. Networks 8 (2012) - [j7]Victor W. Chu, Raymond K. Wong, Chi-Hung Chi:
Over-Fitting and Error Detection for Online Role Mining. Int. J. Web Serv. Res. 9(4): 1-23 (2012) - [c87]Matthew Macbeth, Raymond K. Wong:
A Middleware Service for Image Adjustment and Filtering for Small Screens. IEEE SCC 2012: 423-430 - [c86]Raymond K. Wong, Fengming Shi, Nicole Lam:
Full-text search on multi-byte encoded documents. ACM Symposium on Document Engineering 2012: 227-236 - [c85]Raymond K. Wong, Victor W. Chu, Tianyong Hao, Jian Wang:
Context-Aware Service Recommendation for Moving Connected Devices. ICCVE 2012: 136-141 - [c84]Van Munin Chhieng, Raymond K. Wong, Simon Fong:
Data Acquisition in Sensor Network Using an Autonomous Path. ICCVE 2012: 179-184 - [c83]Simon Fong, Zhou Nannan, Raymond K. Wong, Xin-She Yang:
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network. ICDM Workshops 2012: 464-473 - [c82]Jianmin Wang, Raymond K. Wong, Jianwei Ding, Qinlong Guo, Lijie Wen:
On Recommendation of Process Mining Algorithms. ICWS 2012: 311-318 - [c81]Jian Wang, Cheng Zeng, Chuan He, Liang Hong, Liang Zhou, Raymond K. Wong, Jilei Tian:
Context-aware role mining for mobile service recommendation. SAC 2012: 173-178 - [c80]Jianmin Wang, Shijie Tan, Lijie Wen, Raymond K. Wong, Qinlong Guo:
An empirical evaluation of process mining algorithms based on structural and behavioral similarities. SAC 2012: 211-213 - 2010
- [j6]Alex Penev, Raymond K. Wong:
Structure vs. content in hierarchical corpora. Inf. Retr. 13(6): 636-656 (2010) - [p1]Matthew Gebski, Alex Penev, Raymond K. Wong:
Protocol Identification of Encrypted Network Streams. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development 2010: 328-341
2000 – 2009
- 2009
- [j5]Ryan H. Choi, Raymond K. Wong:
Efficient Filtering of Branch Queries for High-Performance XML Data Services. J. Database Manag. 20(2): 58-83 (2009) - [c79]Ryan H. Choi, Raymond K. Wong:
Efficient XQuery Join Processing in Publish/Subscribe Systems. ADC 2009: 97-106 - [c78]Van T. K. Tran, Raymond K. Wong, William K. Cheung, Jiming Liu:
Mobile Information Exchange and Integration: From Query to Application Layer. ADC 2009: 117-126 - [c77]Alex Penev, Raymond K. Wong:
Framework for timely and accurate ads on mobile devices. CIKM 2009: 1067-1076 - [c76]Ryan H. Choi, Raymond K. Wong:
Efficient Data Structure for XML Keyword Search. DASFAA 2009: 549-554 - [c75]Hye-young Paik, Karl M. Göschka, Aad P. A. van Moorsel, Raymond K. Wong, Ian Warren:
Introduction to the proceedings of the EDOC 2009 workshop Middleware for Web Services (MWS) 2009. EDOCW 2009: 72-73 - 2008
- [c74]Vladimir Tosic, Karl M. Göschka, Aad P. A. van Moorsel, Ian Warren, Raymond K. Wong:
Introduction to the Proceedings of the EDOC 2008 Workshop Middleware for Web Services (MWS) 2008. EDOCW 2008: 338-342 - [c73]Alex Penev, Raymond K. Wong:
Grouping hyperlinks for improved voice/mobile accessibility. W4A 2008: 50-53 - [c72]Alex Penev, Raymond K. Wong:
TagScore: Approximate Similarity Using Tag Synopses. Web Intelligence 2008: 98-104 - [c71]Matthew Gebski, Alex Penev, Raymond K. Wong:
Grouping Categorical Anomalies. Web Intelligence 2008: 411-414 - [c70]Raymond K. Wong:
XML Storage and Processing on Mobile Devices. WISE 2008: 2-5 - [c69]Alex Penev, Raymond K. Wong:
Finding similar pages in a social tagging repository. WWW 2008: 1091-1092 - 2007
- [j4]Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond K. Wong, Samuel P. M. Choi, Eleanna Kafeza, James T. Kwok, Joshua C. C. Pun, Vivying S. Y. Cheng:
End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach. Inf. Syst. Frontiers 9(1): 85-101 (2007) - [c68]Keerati Jittrawong, Raymond K. Wong:
Optimizing XPath Queries on Streaming XML Data. ADC 2007: 73-82 - [c67]Van Munin Chhieng, Ryan H. Choi, Raymond K. Wong:
Efficient Geometric Routing in Ad-hoc Wireless Networks. CCNC 2007: 259-263 - [c66]Raymond K. Wong:
mContext: A Mobile Context-Aware Search System for Enterprise. CCNC 2007: 1194-1195 - [c65]Matthew Gebski, Raymond K. Wong:
An Efficient Histogram Method for Outlier Detection. DASFAA 2007: 176-187 - [c64]Van Munin Chhieng, Raymond K. Wong:
Adaptive Distance Measurement for Time Series Databases. DASFAA 2007: 598-610 - [c63]Vladimir Tosic, Karl M. Göschka, Aad P. A. van Moorsel, Raymond K. Wong:
Introduction to the Proceedings of the EDOC 2007 Workshop Middleware for Web Services (MWS) 2007. EDOCW 2007: 69-72 - [c62]Ryan H. Choi, Raymond K. Wong:
Efficient processing of branch queries for high-performance XML filtering. Infoscale 2007: 50 - [c61]Raymond K. Wong, Franky Lam, William M. Shui:
Querying and maintaining a compact XML storage. WWW 2007: 1073-1082 - 2006
- [c60]Alex Penev, Raymond K. Wong:
Shallow NLP techniques for internet search. ACSC 2006: 167-176 - [c59]Damien K. Fisher, Franky Lam, William M. Shui, Raymond K. Wong:
Dynamic labeling schemes for ordered XML based on type information. ADC 2006: 59-68 - [c58]Damien K. Fisher, Raymond K. Wong:
Adaptively Indexing Dynamic XML. DASFAA 2006: 233-248 - [c57]Matthew Gebski, Alex Penev, Raymond K. Wong:
Classification of Hidden Network Streams. DaWaK 2006: 332-341 - [c56]Ryan H. Choi, Raymond K. Wong, Wei Wang:
Visual Specification and Optimization of XQuery Using VXQ. DEXA 2006: 161-171 - [c55]Alex Penev, Matthew Gebski, Raymond K. Wong:
Topic Distillation in Desktop Search. DEXA 2006: 478-488 - [c54]Vladimir Tosic, Aad P. A. van Moorsel, Raymond K. Wong:
Introduction to the Proceedings of the EDOC 2006 Workshop Middleware for Web Services (MWS) 2006. EDOC Workshops 2006: 7 - [c53]M. C. Van, Ryan H. Choi, Raymond K. Wong:
Impact of Holes on Geometric Ad-hoc Routing Protocols. ICON 2006: 1-6 - [c52]Matthew Gebski, Alex Penev, Raymond K. Wong:
Protocol Identification of Encrypted Network Traffic. Web Intelligence 2006: 957-960 - 2005
- [c51]Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond K. Wong, Samuel P. M. Choi, Eleanna Kafeza, James T. Kwok, Joshua C. C. Pun, Vivying S. Y. Cheng:
Towards end-to-end privacy control in the outsourcing of marketing activities: a web service integration solution. ICEC 2005: 454-461 - [c50]William M. Shui, Franky Lam, Damien K. Fisher, Raymond K. Wong:
Querying and Maintaining Ordered XML Data using Relational Databases. ADC 2005: 85-94 - [c49]Hongzhi Wang, Wei Wang, Jianzhong Li, Xuemin Lin, Raymond K. Wong:
Practical Indexing XML Document for Twig Query. ASIAN 2005: 208-222 - [c48]Matthew Gebski, Raymond K. Wong:
Intrusion Detection via Analysis and Modelling of User Commands. DaWaK 2005: 388-397 - [c47]Matthew Gebski, Raymond K. Wong:
A New Approach for Cluster Detection for Large Datasets with High Dimensionality. DaWaK 2005: 498-508 - [c46]Van Munin Chhieng, Raymond K. Wong:
Efficient Distributed XML Data Management for Mobile Commerce. EEE 2005: 460-465 - 2004
- [c45]Danny Z. Chen, Raymond K. Wong:
Optimizing The Lazy DFA Approach for XML Stream Processing. ADC 2004: 131-140 - [c44]Paulo Lai, Warren Kaplan, W. Bret Church, Raymond K. Wong:
Informative 3D Visualization of Multiple Protein Structures. APBC 2004: 201-208 - [c43]Damien K. Fisher, Franky Lam, Raymond K. Wong:
Algebraic Transformation and Optimization for XQuery. APWeb 2004: 201-210 - [c42]Franky Lam, William M. Shui, Damien K. Fisher, Raymond K. Wong:
Skipping Strategies for Efficient Structural Joins. DASFAA 2004: 196-207 - [c41]William M. Shui, Damien K. Fisher, Franky Lam, Raymond K. Wong:
Effective Clustering Schemes for XML Databases. DEXA 2004: 569-579 - [c40]William Kwok-Wai Cheung, Jiming Liu, Kevin H. Tsang, Raymond K. Wong:
Towards Autonomous Service Composition in A Grid Environment. ICWS 2004: 550-557 - [c39]Raymond K. Wong:
Collaborative Hypertext Editing in Mobile Environment. MMM 2004: 300-307 - [c38]Guang-Lei Song, Kang Zhang, Raymond K. Wong, Jun Kong:
Management of Web Data Models Based on Graph Transformation. Web Intelligence 2004: 398-404 - [c37]William Kwok-Wai Cheung, Jiming Liu, Kevin H. Tsang, Raymond K. Wong:
Dynamic Resource Selection For Service Composition in The Grid. Web Intelligence 2004: 412-418 - 2003
- [c36]Michael Barg, Raymond K. Wong:
Cooperative Query Answering for Semistructured Data. ADC 2003: 209-215 - [c35]William M. Shui, Raymond K. Wong, Stephen C. Graham, Lawrence K. Lee, W. Bret Church:
A New Approach to Protein Structure and Function Analysis Using Semi-structured Databases. APBC 2003: 61-69 - [c34]Nicole Lam, Raymond K. Wong:
A Fast Index for XML Document Version Management. APWeb 2003: 71-82 - [c33]Michael Barg, Raymond K. Wong, Franky Lam:
An Efficient Path Index for Querying Semi-structured Data. APWeb 2003: 89-94 - [c32]William M. Shui, Nicole Lam, Raymond K. Wong:
A Novel Laboratory ersion Management System for Tracking Complex Biological Experiments. BIBE 2003: 133-140 - [c31]William M. Shui, Raymond K. Wong:
Application of XML Schema and Active Rules System in Management and Integration of Heterogeneous Biological Data. BIBE 2003: 367-374 - [c30]Damien K. Fisher, Franky Lam, William M. Shui, Raymond K. Wong:
Efficient ordering for XML data. CIKM 2003: 350-357 - [c29]Michael Barg, Raymond K. Wong:
Fast and Versatile ath Index for Querying Semi-Structured Data. DASFAA 2003: 249-256 - [c28]William M. Shui, Raymond K. Wong, Stephen C. Graham, Lawrence K. Lee, W. Bret Church:
Integrating, Managing and Analyzing Protein Structures with XML Databases. DASFAA 2003: 319-326 - [c27]Raymond K. Wong, Nicole Lam:
Efficient Re-construction of Document Versions Based on Adaptive Forward and Backward Change Deltas. DEXA 2003: 266-275 - 2002
- [c26]Michael Barg, Raymond K. Wong:
Proximity Determination and its Optimization for Semistructured Data. ADBIS Research Communications 2002: 11-20 - [c25]Desh Peramunetilleke, Raymond K. Wong:
Currency Exchange Rate Forecasting From News Headlines. Australasian Database Conference 2002 - [c24]David M. Eyers, John Shepherd, Raymond K. Wong:
PoX: Merging Prolog and XML databases. ADCS 2002 - [c23]Franky Lam, Nicole Lam, Raymond K. Wong:
Efficient synchronization for mobile XML data. CIKM 2002: 153-160 - [c22]Jason Sankey, Raymond K. Wong:
Effective Structural Inference for Large XML Documents. COLING 2002 - [c21]Walter Guan, Raymond K. Wong:
Inter-system Triggering for Heterogeneous Database Systems. DEXA 2002: 577-586 - [c20]Raymond K. Wong, Nicole Lam:
Managing and querying multi-version XML data with update logging. ACM Symposium on Document Engineering 2002: 74-81 - 2001
- [j3]Raymond K. Wong, Franky Lam, Mehmet A. Orgun:
Modelling and Manipulating Multidimensional Data in Semistructured Databases. World Wide Web 4(1-2): 79-99 (2001) - [c19]Raymond K. Wong, William M. Shui:
Utilizing Multiple Bioinformatics Information Sources: An XML Database Approach. BIBE 2001: 73-80 - [c18]Jason Sankey, Raymond K. Wong:
Structural Inference for Semistructured Data. CIKM 2001: 159-166 - [c17]Michael Barg, Raymond K. Wong:
Structural Proximity Searching for Large Collections of Semi-Structured Data. CIKM 2001: 175-182 - [c16]Franky Lam, Raymond K. Wong, Mehmet A. Orgun:
Modeling and Manipulating Multidimensional Data in Semistructured Databases. DASFAA 2001: 14-21 - [c15]Raymond K. Wong:
The extended XQL for querying and updating large XML databases. ACM Symposium on Document Engineering 2001: 95-104 - 2000
- [c14]James R. Curran, Raymond K. Wong:
Formalization of Transformation-Based Learning. ACSC 2000: 51-57 - [c13]Raymond K. Wong, Franky Lam, Stephen C. Graham, William M. Shui:
An XML Repository for Molecular Sequence Data. BIBE 2000: 35-42 - [c12]Michael Barg, Raymond K. Wong:
A Multi-Agent Architecture for Cooperative Query Answering. HICSS 2000 - [c11]Hao He, Raymond K. Wong:
A Role-Based Access Control Model for XML Repositories. WISE 2000: 138-145
1990 – 1999
- 1999
- [j2]Qing Li, Raymond K. Wong:
Multifaceted Object Modeling with Roles: A Comprehensive Approach. Inf. Sci. 117(3-4): 243-266 (1999) - [j1]Raymond K. Wong:
Heterogeneous and Multifaceted Multimedia Objects in DOOR/MM: A Role-Based Approach with Views. J. Parallel Distributed Comput. 56(3): 251-271 (1999) - [c10]Michael Barg, Raymond K. Wong:
Tell Them What They Want To Know: Guiding Query Relaxation through User Modelling. CODAS 1999: 352-363 - [c9]Raymond K. Wong:
Heterogeneous Data Integration and Presentation in Multimedia Database Management Systems. ICMCS, Vol. 2 1999: 666-671 - 1997
- [c8]Franky Lam, H. Lewis Chau, Raymond K. Wong:
An Efficient Indexing Scheme for Objects with Roles. BNCOD 1997: 139-153 - [c7]Raymond K. Wong, H. Lewis Chau, Frederick H. Lochovsky:
A Data Model and Semantics of Objects with Dynamic Roles. ICDE 1997: 402-411 - [c6]Raymond K. Wong:
RBAC support in object-oriented role databases. ACM Workshop on Role-Based Access Control 1997: 109-120 - [c5]Franky Lam, H. Lewis Chau, Raymond K. Wong:
Performance Evaluation of Objects with Roles. TOOLS (24) 1997: 2-11 - [c4]Raymond K. Wong, H. Lewis Chau:
Method Dispatching and Type Safety for Objects with Multiple Roles. TOOLS (25) 1997: 286-296 - 1996
- [c3]Raymond K. Wong, H. Lewis Chau, Frederick H. Lochovsky:
The Roles and Views of Multimedia Objects. MMM 1996: 305-320 - 1995
- [c2]Raymond K. Wong, Qing Li:
Manufacturing Systems Modeling with Roles: A Comprehensive Approach. DS-6 1995: 461-478 - [c1]Raymond K. Wong:
Advanced Object Oriented Techniques for Modeling Robotic Systems. ICRA 1995: 1099-1104
Coauthor Index
aka: Simon James Fong
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