Baoxin Zhao

11 papers A 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2021 J jnl
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut.
IEEE Trans. Multim.
Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou
2021 J jnl
Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales.
Concurr. Comput. Pract. Exp.
Baoxin Zhao, Cheng-Zhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li
2020 J jnl
Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction.
IEEE Access
Baoxin Zhao, Xitong Gao, Jianqi Liu, Juanjuan Zhao, Cheng-Zhong Xu
2019 — conf
A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales.
IEEE BigData
Baoxin Zhao, Chengzhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li
2019 — conf
SecureGBM: Secure Multi-Party Gradient Boosting.
IEEE BigData
Zhi Feng, Jun Huan, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu
2019 J jnl
SecureGBM: Secure Multi-Party Gradient Boosting.
CoRR
Zhi Feng, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu, Jun Huan
2017 — conf
A data-driven congestion diffusion model for characterizing traffic in metrocity scales.
IEEE BigData
Baoxin Zhao, Chengzhong Xu, Siyuan Liu
2016 J jnl
A pareto-optimal runtime power budgeting scheme for many-core systems.
Microprocess. Microsystems
Xiaohang Wang, Baoxin Zhao, Ling Wang, Terrence S. T. Mak, Mei Yang, Yingtao Jiang, Masoud Daneshtalab
2016 J jnl
On Fine-Grained Runtime Power Budgeting for Networks-on-Chip Systems.
IEEE Trans. Computers
Xiaohang Wang, Baoxin Zhao, Terrence S. T. Mak, Mei Yang, Yingtao Jiang, Masoud Daneshtalab
2015 J jnl
An efficient runtime power allocation scheme for many-core systems inspired from auction theory.
Integr.
Xiaohang Wang, Baoxin Zhao, Terrence S. T. Mak, Mei Yang, Yingtao Jiang, Masoud Daneshtalab
2014 A conf
Adaptive power allocation for many-core systems inspired from multiagent auction model.
DATE
Xiaohang Wang, Baoxin Zhao, Terrence S. T. Mak, Mei Yang, Yingtao Jiang, Masoud Daneshtalab, Maurizio Palesi