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ORCIDXiaofeng Zhu 0004
Person information
- affiliation: Northwestern University, Evanston, IL, USA
Other persons with the same name
- Xiaofeng Zhu — disambiguation page
- Xiaofeng Zhu 0001
![[0000-0001-6840-0578]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6840-0578")
— University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 7 more) - Xiaofeng Zhu 0002 — Southeast University, School of Electrical Engineering, Nanjing, China
- Xiaofeng Zhu 0003 — Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland, OH, USA
- Xiaofeng Zhu 0005 — Jiangsu University, Faculty of Science, Zhenjiang, China
- Xiaofeng Zhu 0006 — Northeastern University, Boston, MA, USA
- Xiaofeng Zhu 0008 — Beijing Municipal Institute of Labour Protection, China
- Xiaofeng Zhu 0009 — Beijing Institute of Graphic Communication, China
- Xiaofeng Zhu 0010 — Shanghai University of Engineering Science, Advanced Vocational Technical College, China
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Conference and Workshop Papers
- 2022
[c8]Andi Zang, Xiaofeng Zhu, Ce Li, Fan Zhou, Goce Trajcevski:
Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption. MDM 2022: 54-63- 2021
- [c7]Xiaofeng Zhu, Diego Klabjan:
Continual Neural Network Model Retraining. IEEE BigData 2021: 1163-1171 - [c6]Andi Zang, Xiaofeng Zhu, Yuxiang Guo, Fan Zhou, Goce Trajcevski:
Towards Predicting Vehicular Data Consumption. MDM 2021: 109-114 - 2020
- [c5]Xiaofeng Zhu, Diego Klabjan:
Listwise Learning to Rank by Exploring Unique Ratings. WSDM 2020: 798-806 - 2019
- [c4]Xiaofeng Zhu, Feng Liu, Goce Trajcevski, Dingding Wang:
Frosting Weights for Better Continual Training. ICMLA 2019: 506-510 - [c3]Feng Liu, Liangji Wang, Xiaofeng Zhu, Dingding Wang:
Suggestion Mining from Online Reviews usingRandom Multimodel Deep Learning. ICMLA 2019: 667-672 - 2017
- [c2]Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless:
Semantic Document Distance Measures and Unsupervised Document Revision Detection. IJCNLP(1) 2017: 947-956 - [c1]Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless:
Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling. IRI 2017: 32-41
Informal and Other Publications
- 2020
- [i5]Xiaofeng Zhu, Diego Klabjan:
Listwise Learning to Rank by Exploring Unique Ratings. CoRR abs/2001.01828 (2020) - [i4]Xiaofeng Zhu, Feng Liu, Goce Trajcevski, Dingding Wang:
Frosting Weights for Better Continual Training. CoRR abs/2001.01829 (2020) - [i3]Diego Klabjan, Xiaofeng Zhu:
Neural Network Retraining for Model Serving. CoRR abs/2004.14203 (2020) - 2017
- [i2]Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless:
Unsupervised Terminological Ontology Learning based on Hierarchical Topic Modeling. CoRR abs/1708.09025 (2017) - [i1]Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless:
Semantic Document Distance Measures and Unsupervised Document Revision Detection. CoRR abs/1709.01256 (2017)
Coauthor Index
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