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ORCIDRaymond K. Wong 0001
Raymond Kwok-Kay Wong
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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]