Context-Aware Service Recommendation for Moving Connected Devices. - Raymond K. Wong 001; Victor W. Chu; Tianyong Hao; Jian Wang 018 (ICCVE, 2012)

Over-Fitting and Error Detection for Online Role Mining. - Victor W. Chu; Raymond K. Wong 001; Chi-Hung Chi (Int. J. Web Serv. Res., 2012)

Service Discovery Based on Objective and Subjective Measures. - Victor W. Chu; Raymond K. Wong 001; Wuhui Chen; Incheon Paik; Chi-Hung Chi (IEEE SCC, 2013)

Context-Aware Service Recommendation on High Performance Cluster. - Zhiwei Yu; Victor W. Chu; Raymond K. Wong 001 (IEEE SCC, 2013)

A Bandwidth-Conscious Caching Scheme for Mobile Devices. - Badari N. Thyamagondlu; Victor W. Chu; Raymond K. Wong 001 (BigData Congress, 2013)

Online Role Mining without Over-Fitting for Service Recommendation. - Victor W. Chu; Raymond K. Wong 001; Chi-Hung Chi (ICWS, 2013)

Traffic Analysis as a Service via a Unified Model. - Victor W. Chu; Raymond K. Wong 001; Wei Liu 007; Fang Chen 001; Chang-Shing Perng (IEEE SCC, 2014)

Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring. - Victor W. Chu; Raymond K. Wong 001; Fang Chen 001; Chi-Hung Chi (CIKM, 2014)

Causal Structure Discovery for Spatio-temporal Data. - Victor W. Chu; Raymond K. Wong 001; Wei Liu 007; Fang Chen 001 (DASFAA (1), 2014)

Web Service Orchestration Topic Mining. - Victor W. Chu; Raymond K. Wong 001; Chi-Hung Chi; Patrick C. K. Hung (ICWS, 2014)

Online role mining for context-aware mobile service recommendation. - Raymond K. Wong 001; Victor W. Chu; Tianyong Hao (Pers. Ubiquitous Comput., 2014)

Web Service Recommendations Based on Time-Aware Bayesian Networks. - Victor W. Chu; Raymond K. Wong 001; Fang Chen 001; Chi-Hung Chi (BigData Congress, 2015)

Service Selection Based on Dynamic QoS Networks. - Victor W. Chu; Raymond K. Wong 001; Fang Chen 001; Chi-Hung Chi (SCC, 2016)

Market-sentiment boosted predictions on multi-type time-series. - Victor W. Chu; Raymond K. Wong 001; Fang Chen 001; Ivan Ho; Joe Lee (ACSW, 2016)

Interrelationships of Service Orchestrations. - Victor W. Chu; Raymond K. Wong 001; Fang Chen 001; Chi-Hung Chi (ADMA, 2016)

Enhancing portfolio return based on market-sentiment linked topics. - Victor W. Chu; Fang Chen 001; Raymond K. Wong 001; Ivan Ho; Joe Lee (BigComp, 2016)

Self-regularized causal structure discovery for trajectory-based networks. - Victor W. Chu; Raymond K. Wong 001; Fang Chen 001; Simon Fong 001; Patrick C. K. Hung (J. Comput. Syst. Sci., 2016)

Prediction-as-a-Service for Meme Popularity. - Victor W. Chu; Raymond K. Wong 001; Fang Chen 001; Chi-Hung Chi (SCC, 2017)

A Multivariate Clustering Approach for Infrastructure Failure Predictions. - Simon Luo; Victor W. Chu; Jianlong Zhou; Fang Chen 001; Raymond K. Wong 001; Weidong Huang 001 (BigData Congress, 2017)

Rare Event Prediction Using Similarity Majority Under-Sampling Technique. - Jinyan Li 002; Simon Fong 001; Shimin Hu 002; Victor W. Chu; Raymond K. Wong 001; Sabah Mohammed; Nilanjan Dey (SCDS, 2017)

The design of a cloud-based tracker platform based on system-of-systems service architecture. - Victor W. Chu; Raymond K. Wong 001; Chi-Hung Chi; Wei Zhou; Ivan Ho (Inf. Syst. Frontiers, 2017)

Emerging Service Orchestration Discovery and Monitoring. - Victor W. Chu; Raymond K. Wong 001; Simon Fong 001; Chi-Hung Chi (IEEE Trans. Serv. Comput., 2017)

Extreme Topic Model for Market eAlert Service. - Victor W. Chu; Raymond K. Wong 001; Chi-Hung Chi; Fang Chen 001 (SCC, 2018)

Adaptive multi-objective swarm fusion for imbalanced data classification. - Jinyan Li 002; Simon Fong 001; Raymond K. Wong 001; Victor W. Chu (Inf. Fusion, 2018)

Helpfulness-Aware Matrix Factorization for Cross-Category Service Recommendations. - Bowen Zhou; Raymond K. Wong 001; Victor W. Chu; Tengyue Li; Simon Fong 001; Chi-Hung Chi (SCC, 2019)

Multitask Learning for Sparse Failure Prediction. - Simon Luo; Victor W. Chu; Zhidong Li; Yang Wang 002; Jianlong Zhou; Fang Chen 001; Raymond K. Wong 001 (PAKDD (1), 2019)

Classifier Learning from Imbalanced Corpus by Autoencoded Over-Sampling. - Eunkyung Park 004; Raymond K. Wong 001; Victor W. Chu (PRICAI (1), 2019)

Short-Term Memory Variational Autoencoder for Collaborative Filtering. - Hangbin Zhang; Raymond K. Wong 001; Victor W. Chu (PRICAI (2), 2019)

Enhancing portfolio return based on sentiment-of-topic. - Victor W. Chu; Raymond K. Wong 001; Fang Chen 001; Ivan Ho; Joe Lee (Data Knowl. Eng., 2019)

Hybrid Learning with Teacher-student Knowledge Distillation for Recommenders. - Hangbin Zhang; Raymond K. Wong 001; Victor W. Chu (ICDM (Workshops), 2020)

Curvilinear Collaborative Metric Learning with Macro-micro Attentions. - Hangbin Zhang; Raymond K. Wong 001; Victor W. Chu (IJCNN, 2021)

Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads. - Eunkyung Park 004; Raymond K. Wong 001; Junbum Kwon; Victor W. Chu (PAKDD (1), 2021)

Anchoring-and-Adjustment to Improve the Quality of Significant Features. - Eunkyung Park 004; Raymond K. Wong 001; Junbum Kwon; Victor W. Chu (WISE (1), 2021)

Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction. - Simon Luo; Victor W. Chu; Zhidong Li; Yang Wang 002; Jianlong Zhou; Fang Chen 001; Raymond K. Wong 001 (Int. J. Data Sci. Anal., 2021)

Dynamic swarm class rebalancing for the process mining of rare events. - Jinyan Li 002; Yaoyang Wu; Simon Fong 001; Raymond K. Wong 001; Victor W. Chu; Kok-Leong Ong; Kelvin Kian Loong Wong (J. Supercomput., 2021)

Hybrid Variational Autoencoder for Recommender Systems. - Hangbin Zhang; Raymond K. Wong 001; Victor W. Chu (ACM Trans. Knowl. Discov. Data, 2022)

Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks. - Eunkyung Park 004; Raymond K. Wong 001; Victor W. Chu (ECAI, 2023)

A stable model for maximizing the number of significant features. - Eunkyung Park 004; Raymond K. Wong 001; Junbum Kwon; Victor W. Chu (Int. J. Data Sci. Anal., 2024)

Integrating Explainable AI with Multisource Time-Series Data for Apple Yield Prediction. - Boyuan Zheng; Zhitan Wu; Victor W. Chu (PAKDD (Workshops), 2025)

Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations. - Zhuo Cai 003; Shoujin Wang; Victor W. Chu; Usman Naseem; Yang Wang 002; Fang Chen 001 (SIGIR, 2025)

Multi-Hazard Early Warning Systems for Agriculture with Featural-Temporal Explanations. - Boyuan Zheng; Victor W. Chu (CoRR, 2025)

The Complexity of Extreme Climate Events on the New Zealand's Kiwifruit Industry. - Boyuan Zheng; Victor W. Chu; Zhidong Li; Evan Webster; Ashley Rootsey (CoRR, 2025)