Bo Liu

Orcid: 0000-0002-2393-117X

Affiliations:
  • Massey University, Auckland, New Zealand
  • Beijing University of Technology, School of Software Engineering, Beijing, China (former)
  • Tsinghua University, System Integration Institute, Department of Automation, Beijing, China (PhD 2008)


According to our database1, Bo Liu authored at least 54 papers between 2013 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
DiffusionDCI: A Novel Diffusion-Based Unified Framework for Dynamic Full-Field OCT Image Generation and Segmentation.
IEEE Access, 2024

Efficient Monocular Human Pose Estimation Based on Deep Learning Methods: A Survey.
IEEE Access, 2024

Edged Weisfeiler-Lehman Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Similarity Calculation Model Between Patients with Chinese Electronic Medical Records Based on Multi-View Hierarchical Leaning Network.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
DeepCAC: a deep learning approach on DNA transcription factors classification based on multi-head self-attention and concatenate convolutional neural network.
BMC Bioinform., December, 2023

DRA-MQoS: An MQoS scheduling algorithm based on resource feature matching in federated edge cloud.
Concurr. Comput. Pract. Exp., January, 2023

Four-gene signature based on machine learning filtration could predict prognosis of patients with breast cancer.
Expert Syst. J. Knowl. Eng., 2023

Retyping of triple-negative breast cancer based on clustering method.
Expert Syst. J. Knowl. Eng., 2023

DDPM-SKDNet: A Deep Learning Method for ICG Image Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Novel Logic-Based Adaptive Monitoring for Composite Edge Services.
Proceedings of the IEEE International Conference on Web Services, 2023

SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
AIP: A Named Entity Recognition Method Combining Glyphs and Sounds.
ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2022

Exploit the data level parallelism and schedule dependent tasks on the multi-core processors.
Inf. Sci., 2022

DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites.
BMC Bioinform., 2022

Lightweight Face Detection Algorithm under Occlusion Based on Improved CenterNet.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Edge utilization in graph convolutional networks for graph classification.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

A Lightweight and Fast Approach for Upper Limb Range of Motion Assessment.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

A multimodal sentiment recognition method based on attention mechanism.
Proceedings of the 5th Artificial Intelligence and Cloud Computing Conference, 2022

2021
A Method for Mining Granger Causality Relationship on Atmospheric Visibility.
ACM Trans. Knowl. Discov. Data, 2021

A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing.
IEEE Trans. Comput. Soc. Syst., 2021

Coastal Image Classification and Pattern Recognition: Tairua Beach, New Zealand.
Sensors, 2021

A gastric cancer recognition algorithm on gastric pathological sections based on multistage attention-DenseNet.
Concurr. Comput. Pract. Exp., 2021

Cascaded Segmented Matting Network for Human Matting.
IEEE Access, 2021

Automatic text summary generation method based on hybrid model DNM.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
WCP-RNN: a novel RNN-based approach for Bio-NER in Chinese EMRs.
J. Supercomput., 2020

Diagnosis of large-for-gestational-age infants using a semi-supervised feature learned from expert and data.
Multim. Tools Appl., 2020

Dual attention module and multi-label based fully convolutional network for crowd counting.
IET Comput. Vis., 2020

Discovering multi-dimensional motifs from multi-dimensional time series for air pollution control.
Concurr. Comput. Pract. Exp., 2020

A multi-label classification model for full slice brain computerised tomography image.
BMC Bioinform., 2020

2019
A Sequence-to-Sequence Air Quality Predictor Based on the n-Step Recurrent Prediction.
IEEE Access, 2019

Diagnosis of Large for Gestational Age Fetus with an Expert-Driven Feature Selection Scheme.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Image Segmentation of Salt Deposits Using Deep Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Task Decomposition and Parallelization Planning for Automotive Power-Train Applications.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Parallelization Planning for Legacy Programs: A Multi-Objective Genetic Algorithm Approach.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

A Temporal Dependency Aware Approach for Scheduling Real-Time Tasks on Multi-Core Platforms.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Prediction and Study of the Applicability of Medical Gels to Patients.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
Comparison of algorithms for road surface temperature prediction.
Int. J. Crowd Sci., 2018

Road surface temperature prediction based on gradient extreme learning machine boosting.
Comput. Ind., 2018

Comparison of Machine Learning Classifiers for Breast Cancer Diagnosis Based on Feature Selection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Automatic Cataract Diagnosis by Image-Based Interpretability.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

An Attention-Based Air Quality Forecasting Method.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Forecasting Road Surface Temperature in Beijing Based on Machine Learning Algorithms.
Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

Gastric Pathology Image Recognition Based on Deep Residual Networks.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Detection Sound Source Direction in 3D Space Using Convolutional Neural Networks.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

Genetic Algorithm Based Parallelization Planning for Legacy Real-Time Embedded Programs.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017
Enforcing Differential Privacy for Shared Collaborative Filtering.
IEEE Access, 2017

Multi-dimensional motif discovery in air pollution data.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Automatic cataract detection and grading using Deep Convolutional Neural Network.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

An Ensembled RBF Extreme Learning Machine to Forecast Road Surface Temperature.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Feature Pyramid Based Scene Text Detector.
Proceedings of the 7th International Workshop on Camera-Based Document Analysis and Recognition, 2017

2016
Forecasting PM2.5 Concentration Using Spatio-Temporal Extreme Learning Machine.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Exploiting collaborative learning for concept extraction in the medical field.
Proceedings of the 2nd International Conference on Communication and Information Processing, 2016

Pattern Recognition for Large-Scale and Incremental Time Series in Healthcare.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

2013
Experiences in building a next-generation sequencing analysis service using galaxy, globus online and Amazon web service.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013


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