Semantic Document Distance Measures and Unsupervised Document Revision Detection. - Xiaofeng Zhu 004; Diego Klabjan; Patrick N. Bless (IJCNLP(1), 2017)

Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling. - Xiaofeng Zhu 004; Diego Klabjan; Patrick N. Bless (IRI, 2017)

Suggestion Mining from Online Reviews usingRandom Multimodel Deep Learning. - Feng Liu; Liangji Wang; Xiaofeng Zhu 004; Dingding Wang 001 (ICMLA, 2019)

Frosting Weights for Better Continual Training. - Xiaofeng Zhu 004; Feng Liu; Goce Trajcevski; Dingding Wang 001 (ICMLA, 2019)

Listwise Learning to Rank by Exploring Unique Ratings. - Xiaofeng Zhu 004; Diego Klabjan (WSDM, 2020)

Neural Network Retraining for Model Serving. - Diego Klabjan; Xiaofeng Zhu 004 (CoRR, 2020)

Continual Neural Network Model Retraining. - Xiaofeng Zhu 004; Diego Klabjan (IEEE BigData, 2021)

Towards Predicting Vehicular Data Consumption. - Andi Zang; Xiaofeng Zhu 004; Yuxiang Guo 001; Fan Zhou 002; Goce Trajcevski (MDM, 2021)

Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption. - Andi Zang; Xiaofeng Zhu 004; Ce Li 003; Fan Zhou 002; Goce Trajcevski (MDM, 2022)