Chunbo Liu

According to our database, Chunbo Liu authored at least 26 papers between 2006 and 2024.

Collaborative distances:

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

2024

SA-SatMVS: Slope Feature-Aware and Across-Scale Information Integration for Large-Scale Earth Terrain Multi-View Stereo.

Xiangli Chen, Wenhui Diao, Song Zhang, Zhiwei Wei, Chunbo Liu

Remote. Sens., September, 2024

Soft computing based smart grid fault detection using computerised data analysis with fuzzy machine learning model.

Taifeng Chen, Chunbo Liu

Sustain. Comput. Informatics Syst., January, 2024

Self-Training-Based Semantic-Balanced Network for Weakly Supervised Object Detection in Remote-Sensing Images.

Xuanyi Du, Wenhui Diao, Yingchao Feng, Chunbo Liu, Xian Sun

IEEE Trans. Geosci. Remote. Sens., 2024

Unsupervised Intrusion Detection Based on Asymmetric Auto-Encoder Feature Extraction.

Chunbo Liu, Liyin Wang, Zhikai Zhang, Chunmiao Xiang, Zhaojun Gu, Zhi Wang, Shuang Wang

IEICE Trans. Inf. Syst., 2024

UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization.

Wenjia Xu, Yaxuan Yao, Jiaqi Cao, Zhiwei Wei, Chunbo Liu, Jiuniu Wang, Mugen Peng

CoRR, 2024

2023

Immersion and invariance sliding mode control with time-delay estimation for rigid spacecraft with uncertainties and actuator faults.

Chenghu Jing, Haohao Du, Yafeng Liu, Bingsheng Yan, Chunbo Liu

Trans. Inst. Meas. Control, December, 2023

Enhancing building pattern recognition through multi-scale data and knowledge graph: a case study of C-shaped patterns.

Zhiwei Wei, Wenjia Xu, Yi Xiao, Mi Shu, Lu Cheng, Yang Wang, Chunbo Liu

Int. J. Digit. Earth, December, 2023

Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition.

Zhiwei Wei, Yi Xiao, Wenjia Xu, Mi Shu, Lu Cheng, Yang Wang, Chunbo Liu

CoRR, 2023

Research on Insulator Multispectral Image Registration Model Based on SuperPoint and SuperGlue.

Daiyong Yang, Chunming Zhao, Haidan Lin, Junbo Liu, Chunbo Liu, Changlong Gao, Yu Zhang

Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering, 2023

2022

TSPNet: Translation supervised prototype network via residual learning for multimodal social relation extraction.

Hankun Kang, Xiaoyu Li, Li Jin, Chunbo Liu, Zequn Zhang, Shuchao Li, Yanan Zhang

Neurocomputing, 2022

Research on Intellisense and Simplified Feature Set Extraction of Partial Discharge for Power Distribution Network.

Daiyong Yang, He Liu, Chunbo Liu, Ming Ren, Changjie Xia

Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022

2021

An information real-time synchronisation system across different media based on position encoding for mobile computing.

Jingxian Zhou, Guangming Zheng, Baobao Zhang, Chunbo Liu, Zhaojun Gu

Int. J. Comput. Appl. Technol., 2021

Construction and Application of Expressway Project Information Management Platform Based on BIM Technology.

Chunbo Liu

Proceedings of the Cyber Security Intelligence and Analytics, 2021

2020

Detecting Overlapping Data in System Logs Based on Ensemble Learning Method.

Chunbo Liu, Yitong Ren, Mengmeng Liang, Zhaojun Gu, Jialiang Wang, Lanlan Pan, Zhi Wang

Wirel. Commun. Mob. Comput., 2020

Valid Probabilistic Anomaly Detection Models for System Logs.

Chunbo Liu, Lanlan Pan, Zhaojun Gu, Jialiang Wang, Yitong Ren, Zhi Wang

Wirel. Commun. Mob. Comput., 2020

Taking the pulse of COVID-19: a spatiotemporal perspective.

Chaowei Yang, Dexuan Sha, Qian Liu, Yun Li, Hai Lan, Weihe Wendy Guan, Tao Hu, Zhenlong Li, Zhiran Zhang, John Hoot Thompson, Zifu Wang, David W. S. Wong, Shiyang Ruan, Manzhu Yu, Douglas Richardson, Luyao Zhang, Ruizhi Hou, You Zhou, Cheng Zhong, Yifei Tian, Fayez Beaini, Kyla Carte, Colin Flynn, Wei Liu, Dieter Pfoser, Shuming Bao, Mei Li, Haoyuan Zhang, Chunbo Liu, Jie Jiang, Shihong Du, Liang Zhao, Mingyue Lu, Lin Li, Huan Zhou, Andrew Ding

Int. J. Digit. Earth, 2020

The Class Overlap Model for System Log Anomaly Detection Based on Ensemble Learning.

Yitong Ren, Zhaojun Gu, Lanlan Pan, Chunbo Liu

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

An Anomaly Detection Method for System Logs Using Venn-Abers Predictors.

Lanlan Pan, Zhaojun Gu, Yitong Ren, Chunbo Liu, Zhi Wang

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

2019

A supervised network for fast image-guided radiotherapy (IGRT) registration.

Zhixin Yao, Hansheng Feng, Yuntao Song, Shi Li, Yang Yang, Lingling Liu, Chunbo Liu

J. Medical Syst., 2019

2018

Identifying Bitcoin Users Using Deep Neural Network.

Wei Shao, Hang Li, Mengqi Chen, Chunfu Jia, Chunbo Liu, Zhi Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017

Assessment of Reduction of Quality Attacks on Mobile IP Networks.

Gang Yu, Tao Li, Jin-Mao Wei, Chunbo Liu

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2016

GB-RC4: Effective brute force attacks on RC4 algorithm using GPU.

Pei Xue, Tao Li, Han Dong, Chunbo Liu, Wenjing Ma, Songwen Pei

Proceedings of the Seventh International Green and Sustainable Computing Conference, 2016

2010

Statistical Modelling of Glutamate Fermentation Process Based on GAMs.

Chunbo Liu, Xuan Ju, Feng Pan

Proceedings of the Life System Modeling and Intelligent Computing, 2010

2008

Virtual Force Compensation for MIS Robot.

Longwang Yue, Suli Wang, Chunbo Liu, Yi Cao, Baiyan He

Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008

2007

Genetic algorithm-based decision tree classifier for remote sensing mapping with SPOT-5 data in the HongShiMao watershed of the loess plateau, China.

Mingxiang Huang, Jianhua Gong, Zhou Shi, Chunbo Liu, Lihui Zhang

Neural Comput. Appl., 2007

2006

A Distributed Computing Service for Neural Networks and Its Application to Flood Peak Forecasting.

Jun Zhu, Chunbo Liu, Jianhua Gong, Daojun Wang, Tao Song

Proceedings of the Neural Information Processing, 13th International Conference, 2006