Bin Hong

According to our database, Bin Hong authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Research on GDR Obstacle Detection Method Based on Stereo Vision.

Jing Hou, Meimei Chen, Yihang Guo, Zhangxi Lin, Bin Hong

Autom. Control. Comput. Sci., February, 2024

End-to-End Graph Flattening Method for Large Language Models.

Bin Hong, Jinze Wu, Jiayu Liu, Liang Ding, Jing Sha, Kai Zhang, Shijin Wang, Zhenya Huang

CoRR, 2024

2022

Apparel-Invariant Feature Learning for Person Re-Identification.

Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua

IEEE Trans. Multim., 2022

Development and application of key technologies for Guide Dog Robot: A systematic literature review.

Bin Hong, Zhangxi Lin, Xin Chen, Jing Hou, Shunya Lv, Zhendong Gao

Robotics Auton. Syst., 2022

2021

Snipe: highly sensitive pathogen detection from metagenomic sequencing data.

Lihong Huang, Bin Hong, Wenxian Yang, Liansheng Wang, Rongshan Yu

Briefings Bioinform., 2021

2020

Apparel-invariant Feature Learning for Apparel-changed Person Re-identification.

Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

CoRR, 2020

Pathogen Prevalence, Collectivism and Online Sadness Expression in China *: for Special Track "Covid-19 and Computational Social Psychology".

Hao Chen, Bin Hong, Hui-Lin Zang

Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019

Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.

Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

J. Mach. Learn. Res., 2019

A Dehazing Algorithm Based on Local Adaptive Template for Transmission Estimation and Refinement.

Lu Xu, Ying Wei, Bin Hong, Wei Yin

IEEE Access, 2019

Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding.

Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong

IEEE Access, 2019

2018

Safe Element Screening for Submodular Function Minimization.

Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

基于PCA降维的云资源状态监控数据压缩技术 (Data Dimension Reduction Method Based on PCA for Monitoring Data of Virtual Resources in Cloud Computing).

Bin Hong, Bo Deng, Fuyang Peng, Yang Bao, Xuewei Feng

计算机科学, 2016

Online robust principal component analysis via truncated nuclear norm regularization.

Bin Hong, Long Wei, Yao Hu, Deng Cai, Xiaofei He

Neurocomputing, 2016

Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction.

Weizhong Zhang, Bin Hong, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

CoRR, 2016

Non-Negative Matrix Factorization with Sinkhorn Distance.

Wei Qian, Bin Hong, Deng Cai, Xiaofei He, Xuelong Li

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

DAC-Hmm: detecting anomaly in cloud systems with hidden Markov models.

Bin Hong, Fuyang Peng, Bo Deng, Yazhou Hu, Dongxia Wang

Concurr. Comput. Pract. Exp., 2015

Distributed State Monitoring for IaaS Cloud with Continuous Observation Sequence.

Bin Hong, Yazhou Hu, Fuyang Peng, Bo Deng

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Event Recovery by Faster Truncated Nuclear Norm Minimization.

Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

O-MAP: A per-component online anomaly predicting method for Cloud infrastructure.

Bin Hong, Fuyang Peng, Bo Deng, Yuchao Zhang

Proceedings of the IEEE International Conference on Information and Automation, 2015