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Journal Articles
- 2021
[j6]Baoxin Zhao
, Cheng-Zhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li:
Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales. Concurr. Comput. Pract. Exp. 33(6) (2021)- [j5]Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou:
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut. IEEE Trans. Multim. 23: 1722-1730 (2021) - 2020
- [j4]Baoxin Zhao, Xitong Gao, Jianqi Liu, Juanjuan Zhao, Cheng-Zhong Xu:
Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction. IEEE Access 8: 76632-76641 (2020) - 2016
- [j3]Xiaohang Wang, Baoxin Zhao, Ling Wang, Terrence S. T. Mak, Mei Yang, Yingtao Jiang, Masoud Daneshtalab:
A pareto-optimal runtime power budgeting scheme for many-core systems. Microprocess. Microsystems 46: 136-148 (2016) - [j2]Xiaohang Wang, Baoxin Zhao, Terrence S. T. Mak, Mei Yang, Yingtao Jiang, Masoud Daneshtalab:
On Fine-Grained Runtime Power Budgeting for Networks-on-Chip Systems. IEEE Trans. Computers 65(9): 2780-2793 (2016) - 2015
- [j1]Xiaohang Wang, Baoxin Zhao, Terrence S. T. Mak, Mei Yang, Yingtao Jiang, Masoud Daneshtalab:
An efficient runtime power allocation scheme for many-core systems inspired from auction theory. Integr. 50: 147-157 (2015)
Conference and Workshop Papers
- 2019
- [c4]Zhi Feng, Jun Huan, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu:
SecureGBM: Secure Multi-Party Gradient Boosting. IEEE BigData 2019: 1312-1321 - [c3]Baoxin Zhao, Chengzhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li:
A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales. IEEE BigData 2019: 1717-1722 - 2017
- [c2]Baoxin Zhao, Chengzhong Xu, Siyuan Liu:
A data-driven congestion diffusion model for characterizing traffic in metrocity scales. IEEE BigData 2017: 1243-1252 - 2014
- [c1]Xiaohang Wang, Baoxin Zhao, Terrence S. T. Mak, Mei Yang, Yingtao Jiang, Masoud Daneshtalab, Maurizio Palesi:
Adaptive power allocation for many-core systems inspired from multiagent auction model. DATE 2014: 1-4
Informal and Other Publications
- 2019
- [i1]Zhi Feng, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu, Jun Huan:
SecureGBM: Secure Multi-Party Gradient Boosting. CoRR abs/1911.11997 (2019)
Coauthor Index
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