Han Liu

Orcid: 0000-0002-7731-8258

Affiliations:
  • Shenzhen University, Guangdong, China
  • Cardiff University, School of Computer Science and Informatics, UK (former)
  • University of Portsmouth, School of Computing, UK (PhD 2015)


According to our database1, Han Liu authored at least 66 papers between 2011 and 2024.

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Bibliography

2024
End-to-end approach of multi-grained embedding of categorical features in tabular data.
Inf. Process. Manag., March, 2024

Empirical study of outlier impact in classification context.
Expert Syst. Appl., 2024

High-order polynomial interpolation with CNN: A robust approach for missing data imputation.
Comput. Electr. Eng., 2024

Knowledge Distillation with Classmate.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023
A study on relationship between prediction uncertainty and robustness to noisy data.
Int. J. Syst. Sci., April, 2023

Adaptive Selection of BERT Layer for Multi-Label Text Classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022
Disrupting networks of hate: characterising hateful networks and removing critical nodes.
Soc. Netw. Anal. Min., 2022

Empirical study on virtual order of class labels in nominal classification.
Int. J. Mach. Learn. Cybern., 2022

Handling missing data through deep convolutional neural network.
Inf. Sci., 2022

A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications.
Neurocomputing, 2022

Learning to recommend journals for submission based on embedding models.
Neurocomputing, 2022

2021
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models.
Sensors, 2021

A geometry constrained dictionary learning method for industrial process monitoring.
Inf. Sci., 2021

Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering.
Comput. Electr. Eng., 2021

Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack.
Appl. Soft Comput., 2021

Performance Evaluation of Deep Learning Classification Network for Image Features.
IEEE Access, 2021

2020
Human posture recognition based on multiple features and rule learning.
Int. J. Mach. Learn. Cybern., 2020

Heuristic creation of deep rule ensemble through iterative expansion of feature space.
Inf. Sci., 2020

Deep Learning Based Fusion Approach for Hate Speech Detection.
IEEE Access, 2020

A New Hybrid Convolutional Neural Network and eXtreme Gradient Boosting Classifier for Recognizing Handwritten Ethiopian Characters.
IEEE Access, 2020

A Deep Learning Based Wearable Healthcare Iot Device for AI-Enabled Hearing Assistance Automation.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

Object Recognition Using Enhanced Particle Swarm Optimization.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

Bert-Pair-Networks for Sentiment Classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

Scmhl5 at TRAC-2 Shared Task on Aggression Identification: Bert Based Ensemble Learning Approach.
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying, 2020

2019
"The Enemy Among Us": Detecting Cyber Hate Speech with Threats-based Othering Language Embeddings.
ACM Trans. Web, 2019

A Fuzzy Approach to Text Classification With Two-Stage Training for Ambiguous Instances.
IEEE Trans. Comput. Soc. Syst., 2019

Heuristic target class selection for advancing performance of coverage-based rule learning.
Inf. Sci., 2019

Subclass-based semi-random data partitioning for improving sample representativeness.
Inf. Sci., 2019

Multi-stage mixed rule learning approach for advancing performance of rule-based classification.
Inf. Sci., 2019

Advancing Ensemble Learning Performance through data transformation and classifiers fusion in granular computing context.
Expert Syst. Appl., 2019

Improving K-means clustering with enhanced Firefly Algorithms.
Appl. Soft Comput., 2019

Fuzzy Multi-task Learning for Hate Speech Type Identification.
Proceedings of the World Wide Web Conference, 2019

Detection of Suicidal Twitter Posts.
Proceedings of the Advances in Computational Intelligence Systems, 2019

Multi-Level Creation of Fuzzy Ensembles through Diversified Settings of Parameters.
Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

Multi-Channel Convolutional Neural Network for Targeted Sentiment Classification.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Multi-Perspective Creation of Diversity for Image Classification In Ensemble Learning Context.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Multi-Task Ensemble Creation for Advancing Performance of Image Segmentation.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018
Induction of classification rules by Gini-index based rule generation.
Inf. Sci., 2018

Mining of Nutritional Ingredients in Food for Disease Analysis.
IEEE Access, 2018

Identification and Classification of Misogynous Tweets Using Multi-classifier Fusion.
Proceedings of the Third Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2018) co-located with 34th Conference of the Spanish Society for Natural Language Processing (SEPLN 2018), 2018

Multi-Level Fusion of Classifiers Through Fuzzy Ensemble Learning.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Improving Imbalanced Question Classification Using Structured Smote Based Approach.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Text Classification For Suicide Related Tweets.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Suiciderelated Text Classification With Prism Algorithm.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Suspended Accounts: A Source of Tweets with Disgust and Anger Emotions for Augmenting Hate Speech Data Sample.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

J-Measure Based Pruning for Advancing Classification Performance of Information Entropy Based Rule Generation.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Evaluation of Rule-Based Learning and Feature Selection Approaches For Classification.
Proceedings of the 2018 Imperial College Computing Student Workshop, 2018

Fuzzy rule based systems for gender classification from blog data.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
Rule Based Networks: An Efficient and Interpretable Representation of Computational Models.
J. Artif. Intell. Soft Comput. Res., 2017

Domain specific syntax based approach for text classification in machine learning context.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Decision tree learning based feature evaluation and selection for image classification.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Transformation of discriminative single-task classification into generative multi-task classification in machine learning context.
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

Fuzzy rule based systems for interpretable sentiment analysis.
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

Fuzzy approach for sentiment analysis.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Interpretability of Computational Models for Sentiment Analysis.
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

Collaborative rule generation: An ensemble learning approach.
J. Intell. Fuzzy Syst., 2016

Complexity Control in Rule Based Models for Classification in Machine Learning Context.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Rule based systems and networks: Deterministic and fuzzy approaches.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Nature and biology inspired approach of classification towards reduction of bias in machine learning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
Rule based systems for classification in machine learning context.
PhD thesis, 2015

Hybrid ensemble learning approach for generation of classification rules.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Network based rule representation for knowledge discovery and predictive modelling.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Categorization and Construction of Rule Based Systems.
Proceedings of the Engineering Applications of Neural Networks, 2014

2012
Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining.
Trans. Large Scale Data Knowl. Centered Syst., 2012

2011
Distributed Classification for Pocket Data Mining.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011


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