Victor W. Chu

43 papers A* 1A 4B 1C 1Journal 14Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural Federated Learning for Livestock Growth Prediction.
CoRR
Shoujin Wang, Mingze Ni, Wei Liu, Victor W. Chu, Bryan Zheng, Ayush Kanwal, Roy Jing Yang, Kenneth Sabir, Fang Chen
2025 — conf
Integrating Explainable AI with Multisource Time-Series Data for Apple Yield Prediction.
PAKDD (Workshops)
Boyuan Zheng, Zhitan Wu, Victor W. Chu
2025 J jnl
Multi-Hazard Early Warning Systems for Agriculture with Featural-Temporal Explanations.
CoRR
Boyuan Zheng, Victor W. Chu
2025 J jnl
The Complexity of Extreme Climate Events on the New Zealand's Kiwifruit Industry.
CoRR
Boyuan Zheng, Victor W. Chu, Zhidong Li, Evan Webster, Ashley Rootsey
2025 A* conf
Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations.
SIGIR
Zhuo Cai, Shoujin Wang, Victor W. Chu, Usman Naseem, Yang Wang, Fang Chen
2024 J jnl
A stable model for maximizing the number of significant features.
Int. J. Data Sci. Anal.
Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu
2023 A conf
Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks.
ECAI
Eunkyung Park, Raymond K. Wong, Victor W. Chu
2022 J jnl
Hybrid Variational Autoencoder for Recommender Systems.
ACM Trans. Knowl. Discov. Data
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
2021 — conf
Anchoring-and-Adjustment to Improve the Quality of Significant Features.
WISE (1)
Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu
2021 B conf
Curvilinear Collaborative Metric Learning with Macro-micro Attentions.
IJCNN
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
2021 J jnl
Dynamic swarm class rebalancing for the process mining of rare events.
J. Supercomput.
Jinyan Li, Yaoyang Wu, Simon Fong, Raymond K. Wong, Victor W. Chu, Kok-Leong Ong, Kelvin Kian Loong Wong
2021 — conf
Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads.
PAKDD (1)
Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu
2021 J jnl
Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction.
Int. J. Data Sci. Anal.
Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong
2020 — conf
Hybrid Learning with Teacher-student Knowledge Distillation for Recommenders.
ICDM (Workshops)
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
2019 — conf
Classifier Learning from Imbalanced Corpus by Autoencoded Over-Sampling.
PRICAI (1)
Eunkyung Park, Raymond K. Wong, Victor W. Chu
2019 J jnl
Enhancing portfolio return based on sentiment-of-topic.
Data Knowl. Eng.
Victor W. Chu, Raymond K. Wong, Fang Chen, Ivan Ho, Joe Lee
2019 — conf
Helpfulness-Aware Matrix Factorization for Cross-Category Service Recommendations.
SCC
Bowen Zhou, Raymond K. Wong, Victor W. Chu, Tengyue Li, Simon Fong, Chi-Hung Chi
2019 — conf
Multitask Learning for Sparse Failure Prediction.
PAKDD (1)
Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong
2019 — conf
Short-Term Memory Variational Autoencoder for Collaborative Filtering.
PRICAI (2)
Hangbin Zhang, Raymond K. Wong, Victor W. Chu
2018 J jnl
Adaptive multi-objective swarm fusion for imbalanced data classification.
Inf. Fusion
Jinyan Li, Simon Fong, Raymond K. Wong, Victor W. Chu
2018 — conf
Extreme Topic Model for Market eAlert Service.
SCC
Victor W. Chu, Raymond K. Wong, Chi-Hung Chi, Fang Chen
2017 — conf
A Multivariate Clustering Approach for Infrastructure Failure Predictions.
BigData Congress
Simon Luo, Victor W. Chu, Jianlong Zhou, Fang Chen, Raymond K. Wong, Weidong Huang
2017 J jnl
Emerging Service Orchestration Discovery and Monitoring.
IEEE Trans. Serv. Comput.
Victor W. Chu, Raymond K. Wong, Simon Fong, Chi-Hung Chi
2017 — conf
Prediction-as-a-Service for Meme Popularity.
SCC
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
2017 — conf
Rare Event Prediction Using Similarity Majority Under-Sampling Technique.
SCDS
Jinyan Li, Simon Fong, Shimin Hu, Victor W. Chu, Raymond K. Wong, Sabah Mohammed, Nilanjan Dey
2017 J jnl
The design of a cloud-based tracker platform based on system-of-systems service architecture.
Inf. Syst. Frontiers
Victor W. Chu, Raymond K. Wong, Chi-Hung Chi, Wei Zhou, Ivan Ho
2016 — conf
Enhancing portfolio return based on market-sentiment linked topics.
BigComp
Victor W. Chu, Fang Chen, Raymond K. Wong, Ivan Ho, Joe Lee
2016 C conf
Interrelationships of Service Orchestrations.
ADMA
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
2016 — conf
Market-sentiment boosted predictions on multi-type time-series.
ACSW
Victor W. Chu, Raymond K. Wong, Fang Chen, Ivan Ho, Joe Lee
2016 J jnl
Self-regularized causal structure discovery for trajectory-based networks.
J. Comput. Syst. Sci.
Victor W. Chu, Raymond K. Wong, Fang Chen, Simon Fong, Patrick C. K. Hung
2016 — conf
Service Selection Based on Dynamic QoS Networks.
SCC
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
2015 — conf
Web Service Recommendations Based on Time-Aware Bayesian Networks.
BigData Congress
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
2014 — conf
Causal Structure Discovery for Spatio-temporal Data.
DASFAA (1)
Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen
2014 A conf
Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring.
CIKM
Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
2014 J jnl
Online role mining for context-aware mobile service recommendation.
Pers. Ubiquitous Comput.
Raymond K. Wong, Victor W. Chu, Tianyong Hao
2014 — conf
Traffic Analysis as a Service via a Unified Model.
IEEE SCC
Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen, Chang-Shing Perng
2014 A conf
Web Service Orchestration Topic Mining.
ICWS
Victor W. Chu, Raymond K. Wong, Chi-Hung Chi, Patrick C. K. Hung
2013 — conf
A Bandwidth-Conscious Caching Scheme for Mobile Devices.
BigData Congress
Badari N. Thyamagondlu, Victor W. Chu, Raymond K. Wong
2013 — conf
Context-Aware Service Recommendation on High Performance Cluster.
IEEE SCC
Zhiwei Yu, Victor W. Chu, Raymond K. Wong
2013 A conf
Online Role Mining without Over-Fitting for Service Recommendation.
ICWS
Victor W. Chu, Raymond K. Wong, Chi-Hung Chi
2013 — conf
Service Discovery Based on Objective and Subjective Measures.
IEEE SCC
Victor W. Chu, Raymond K. Wong, Wuhui Chen, Incheon Paik, Chi-Hung Chi
2012 — conf
Context-Aware Service Recommendation for Moving Connected Devices.
ICCVE
Raymond K. Wong, Victor W. Chu, Tianyong Hao, Jian Wang
2012 J jnl
Over-Fitting and Error Detection for Online Role Mining.
Int. J. Web Serv. Res.
Victor W. Chu, Raymond K. Wong, Chi-Hung Chi