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Dongxiao Zhu
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Publications
- 2019
- [c29]Lu Wang, Ming Dong, Elizabeth Towner, Dongxiao Zhu:
Prioritization of Multi-Level Risk Factors for Obesity. BIBM 2019: 1065-1072 - 2018
- [j23]Shixing Chen, Ming Dong, Dongxiao Zhu:
Learning and Interpreting Features to Rank: A Case Study on Age Estimation. Int. J. Multim. Data Eng. Manag. 9(3): 17-36 (2018) - [j21]Xiangrui Li, Dongxiao Zhu, Ming Dong:
Multinomial classification with class-conditional overlapping sparse feature groups. Pattern Recognit. Lett. 101: 37-43 (2018) - [j19]Lu Wang, Dongxiao Zhu, Ming Dong:
Clustering over-dispersed data with mixed feature types. Stat. Anal. Data Min. 11(2): 55-65 (2018) - [c28]Lu Wang, Dongxiao Zhu, Elizabeth Towner, Ming Dong:
Obesity risk factors ranking using multi-task learning. BHI 2018: 385-388 - 2017
- [j18]Raed Almomani, Ming Dong, Dongxiao Zhu:
Object tracking via Dirichlet process-based appearance models. Neural Comput. Appl. 28(5): 867-879 (2017) - [c24]Xiangrui Li, Dongxiao Zhu, Ming Dong, Milad Zafar Nezhad, Alexander T. Janke, Phillip Levy:
SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors. CRI 2017 - [c22]Lu Wang, Dongxiao Zhu, Ming Dong, Yan Li:
Modeling Over-Dispersion for Network Data Clustering. ICMLA 2017: 42-49 - 2016
- [c20]Haotian Xu, Ming Dong, Dongxiao Zhu, Alexander Kotov, April Idalski Carcone, Sylvie Naar-King:
Text Classification with Topic-based Word Embedding and Convolutional Neural Networks. BCB 2016: 88-97 - [c18]Raed Almomani, Ming Dong, Dongxiao Zhu:
A Bayesian hierarchical appearance model for robust object tracking. ICME 2016: 1-6 - [c17]Lu Wang, Dongxiao Zhu, Yan Li, Ming Dong:
Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads. ISBRA 2016: 15-26
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