Xiaofeng Zhu

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 13

Top Topics

Kullback Leibler

Linearly Combined

Top Venues

Publications

Andi Zang, Xiaofeng Zhu, Ce Li, Fan Zhou, Goce Trajcevski
Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption. MDM (2022)
Andi Zang, Xiaofeng Zhu, Yuxiang Guo, Fan Zhou, Goce Trajcevski
Towards Predicting Vehicular Data Consumption. MDM (2021)
Xiaofeng Zhu, Diego Klabjan
Continual Neural Network Model Retraining. IEEE BigData (2021)
Xiaofeng Zhu, Diego Klabjan
Listwise Learning to Rank by Exploring Unique Ratings. CoRR (2020)
Diego Klabjan, Xiaofeng Zhu
Neural Network Retraining for Model Serving. CoRR (2020)
Xiaofeng Zhu, Diego Klabjan
Listwise Learning to Rank by Exploring Unique Ratings. WSDM (2020)
Xiaofeng Zhu, Feng Liu, Goce Trajcevski, Dingding Wang
Frosting Weights for Better Continual Training. CoRR (2020)
Feng Liu, Liangji Wang, Xiaofeng Zhu, Dingding Wang
Suggestion Mining from Online Reviews usingRandom Multimodel Deep Learning. ICMLA (2019)
Xiaofeng Zhu, Feng Liu, Goce Trajcevski, Dingding Wang
Frosting Weights for Better Continual Training. ICMLA (2019)
Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless
Semantic Document Distance Measures and Unsupervised Document Revision Detection. IJCNLP(1) (2017)
Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless
Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling. IRI (2017)
Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless
Semantic Document Distance Measures and Unsupervised Document Revision Detection. CoRR (2017)
Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless
Unsupervised Terminological Ontology Learning based on Hierarchical Topic Modeling. CoRR (2017)