Victor W. Chu - RankMe

43 papers A* 1A 4B 1C 1Journal 14Unranked 22

Year	Rank	Type	Title / 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