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Bin Hong
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2020 – today
- 2024
- [j10]Jing Hou, Meimei Chen, Yihang Guo, Zhangxi Lin, Bin Hong:
Research on GDR Obstacle Detection Method Based on Stereo Vision. Autom. Control. Comput. Sci. 58(1): 90-100 (2024) - [i4]Bin Hong, Jinze Wu, Jiayu Liu, Liang Ding, Jing Sha, Kai Zhang, Shijin Wang, Zhenya Huang:
End-to-End Graph Flattening Method for Large Language Models. CoRR abs/2409.14880 (2024) - 2022
- [j9]Bin Hong, Zhangxi Lin, Xin Chen, Jing Hou, Shunya Lv, Zhendong Gao:
Development and application of key technologies for Guide Dog Robot: A systematic literature review. Robotics Auton. Syst. 154: 104104 (2022) - [j8]Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua:
Apparel-Invariant Feature Learning for Person Re-Identification. IEEE Trans. Multim. 24: 4482-4492 (2022) - 2021
- [j7]Lihong Huang, Bin Hong, Wenxian Yang, Liansheng Wang, Rongshan Yu:
Snipe: highly sensitive pathogen detection from metagenomic sequencing data. Briefings Bioinform. 22(5) (2021) - 2020
- [c7]Hao Chen, Bin Hong, Hui-Lin Zang:
Pathogen Prevalence, Collectivism and Online Sadness Expression in China *: for Special Track "Covid-19 and Computational Social Psychology". BESC 2020: 1-6 - [i3]Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification. CoRR abs/2008.06181 (2020)
2010 – 2019
- 2019
- [j6]Lu Xu, Ying Wei, Bin Hong, Wei Yin:
A Dehazing Algorithm Based on Local Adaptive Template for Transmission Estimation and Refinement. IEEE Access 7: 125000-125010 (2019) - [j5]Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong:
Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding. IEEE Access 7: 149785-149796 (2019) - [j4]Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. J. Mach. Learn. Res. 20: 121:1-121:39 (2019) - 2018
- [c6]Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang:
Safe Element Screening for Submodular Function Minimization. ICML 2018: 5781-5790 - [i2]Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang:
Safe Element Screening for Submodular Function Minimization. CoRR abs/1805.08527 (2018) - 2017
- [c5]Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. ICML 2017: 4016-4025 - 2016
- [j3]Bin Hong, Long Wei, Yao Hu, Deng Cai, Xiaofei He:
Online robust principal component analysis via truncated nuclear norm regularization. Neurocomputing 175: 216-222 (2016) - [j2]Bin Hong, Bo Deng, Fuyang Peng, Yang Bao, Xuewei Feng:
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). 计算机科学 43(8): 19-25 (2016) - [c4]Wei Qian, Bin Hong, Deng Cai, Xiaofei He, Xuelong Li:
Non-Negative Matrix Factorization with Sinkhorn Distance. IJCAI 2016: 1960-1966 - [i1]Weizhong Zhang, Bin Hong, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction. CoRR abs/1607.06996 (2016) - 2015
- [j1]Bin Hong, Fuyang Peng, Bo Deng, Yazhou Hu, Dongxia Wang:
DAC-Hmm: detecting anomaly in cloud systems with hidden Markov models. Concurr. Comput. Pract. Exp. 27(18): 5749-5764 (2015) - [c3]Bin Hong, Fuyang Peng, Bo Deng, Yuchao Zhang:
O-MAP: A per-component online anomaly predicting method for Cloud infrastructure. ICIA 2015: 3026-3031 - [c2]Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He:
Event Recovery by Faster Truncated Nuclear Norm Minimization. IScIDE (2) 2015: 171-180 - [c1]Bin Hong, Yazhou Hu, Fuyang Peng, Bo Deng:
Distributed State Monitoring for IaaS Cloud with Continuous Observation Sequence. UIC/ATC/ScalCom 2015: 1037-1042
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