Xiaofeng Zhu

13 papers A 1B 2C 2Misc 1Journal 5Unranked 2

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