Victor W. Chu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 26

Top Topics

Failure Prediction

Significant Features

Metric Learning

Recommender Systems

Top Venues

BigData Congress

Int. J. Data Sci. Anal.

Publications

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)
Eunkyung Park, Raymond K. Wong, Victor W. Chu
Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks. ECAI (2023)
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)
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)
Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu
Anchoring-and-Adjustment to Improve the Quality of Significant Features. WISE (1) (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)
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
Hybrid Learning with Teacher-student Knowledge Distillation for Recommenders. ICDM (Workshops) (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)
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)
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
Short-Term Memory Variational Autoencoder for Collaborative Filtering. PRICAI (2) (2019)
Eunkyung Park, Raymond K. Wong, Victor W. Chu
Classifier Learning from Imbalanced Corpus by Autoencoded Over-Sampling. PRICAI (1) (2019)
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)
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)
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)
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)
Victor W. Chu, Raymond K. Wong, Simon Fong, Chi-Hung Chi
Emerging Service Orchestration Discovery and Monitoring. IEEE Trans. Serv. Comput. 10 (6) (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)
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
Service Selection Based on Dynamic QoS Networks. SCC (2016)
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
Interrelationships of Service Orchestrations. ADMA (2016)
Victor W. Chu, Fang Chen, Raymond K. Wong, Ivan Ho, Joe Lee
Enhancing portfolio return based on market-sentiment linked topics. BigComp (2016)
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
Web Service Recommendations Based on Time-Aware Bayesian Networks. BigData Congress (2015)
Raymond K. Wong, Victor W. Chu, Tianyong Hao
Online role mining for context-aware mobile service recommendation. Pers. Ubiquitous Comput. 18 (5) (2014)
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)
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring. CIKM (2014)
Victor W. Chu, Raymond K. Wong, Chi-Hung Chi, Patrick C. K. Hung
Web Service Orchestration Topic Mining. ICWS (2014)
Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen
Causal Structure Discovery for Spatio-temporal Data. DASFAA (1) (2014)
Badari N. Thyamagondlu, Victor W. Chu, Raymond K. Wong
A Bandwidth-Conscious Caching Scheme for Mobile Devices. BigData Congress (2013)
Victor W. Chu, Raymond K. Wong, Wuhui Chen, Incheon Paik, Chi-Hung Chi
Service Discovery Based on Objective and Subjective Measures. IEEE SCC (2013)
Victor W. Chu, Raymond K. Wong, Chi-Hung Chi
Online Role Mining without Over-Fitting for Service Recommendation. ICWS (2013)
Zhiwei Yu, Victor W. Chu, Raymond K. Wong
Context-Aware Service Recommendation on High Performance Cluster. IEEE SCC (2013)
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) (2012)
Raymond K. Wong, Victor W. Chu, Tianyong Hao, Jian Wang
Context-Aware Service Recommendation for Moving Connected Devices. ICCVE (2012)