Bin Hong

Orcid: 0000-0002-1860-6401

According to our database1, Bin Hong authored at least 24 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization.
CoRR, August, 2025

Daily Wildfire Risk Prediction by Mining Global and local spatio-temporal dependency.
Earth Sci. Informatics, March, 2025

Collaborative route map and navigation of the guide dog robot based on optimum energy consumption.
AI Soc., February, 2025

When will the blind be able to take their first steps with GDR guidance under artificial intelligence?
AI Soc., February, 2025

Research on optimization A* algorithm based on energy consumption of mobile navigation robot.
Int. J. Model. Simul. Sci. Comput., 2025

2024
Research on GDR Obstacle Detection Method Based on Stereo Vision.
Autom. Control. Comput. Sci., February, 2024

End-to-End Graph Flattening Method for Large Language Models.
CoRR, 2024

2022
Apparel-Invariant Feature Learning for Person Re-Identification.
IEEE Trans. Multim., 2022

Development and application of key technologies for Guide Dog Robot: A systematic literature review.
Robotics Auton. Syst., 2022

2021
Snipe: highly sensitive pathogen detection from metagenomic sequencing data.
Briefings Bioinform., 2021

2020
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification.
CoRR, 2020

Pathogen Prevalence, Collectivism and Online Sadness Expression in China *: for Special Track "Covid-19 and Computational Social Psychology".
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.
J. Mach. Learn. Res., 2019

A Dehazing Algorithm Based on Local Adaptive Template for Transmission Estimation and Refinement.
IEEE Access, 2019

Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding.
IEEE Access, 2019

2018
Safe Element Screening for Submodular Function Minimization.
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).
计算机科学, 2016

Online robust principal component analysis via truncated nuclear norm regularization.
Neurocomputing, 2016

Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction.
CoRR, 2016

Non-Negative Matrix Factorization with Sinkhorn Distance.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
DAC-Hmm: detecting anomaly in cloud systems with hidden Markov models.
Concurr. Comput. Pract. Exp., 2015

Distributed State Monitoring for IaaS Cloud with Continuous Observation Sequence.
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.
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.
Proceedings of the IEEE International Conference on Information and Automation, 2015


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