Han Liu

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

Collaborative distances:

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

2024

End-to-end approach of multi-grained embedding of categorical features in tabular data.

Han Liu, Qianxi Qiu, Qin Zhang

Inf. Process. Manag., March, 2024

Empirical study of outlier impact in classification context.

Hufsa Khan, Muhammad Tahir Rasheed, Shengli Zhang, Xizhao Wang, Han Liu

Expert Syst. Appl., 2024

High-order polynomial interpolation with CNN: A robust approach for missing data imputation.

Hufsa Khan, Muhammad Tahir Rasheed, Han Liu, Shengli Zhang

Comput. Electr. Eng., 2024

Knowledge Distillation with Classmate.

Hongwei Su, Han Liu, Weipeng Cao, Zhong Ming

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

A study on relationship between prediction uncertainty and robustness to noisy data.

Hufsa Khan, Xizhao Wang, Han Liu

Int. J. Syst. Sci., April, 2023

Adaptive Selection of BERT Layer for Multi-Label Text Classification.

Zhichao Chen, Han Liu, Qin Zhang

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.

Si Cen, Han Liu, Chao Liu, Xiaoying Zou, Guoquan Dai, Xizhao Wang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022

Disrupting networks of hate: characterising hateful networks and removing critical nodes.

Wafa Alorainy, Pete Burnap, Han Liu, Matthew L. Williams, Luca Giommoni

Soc. Netw. Anal. Min., 2022

Empirical study on virtual order of class labels in nominal classification.

Chengwei Li, Han Liu, Zhong Ming

Int. J. Mach. Learn. Cybern., 2022

Handling missing data through deep convolutional neural network.

Hufsa Khan, Xizhao Wang, Han Liu

Inf. Sci., 2022

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

Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang

Neurocomputing, 2022

Learning to recommend journals for submission based on embedding models.

Chao Liu, Xizhao Wang, Han Liu, Xiaoying Zou, Si Cen, Guoquan Dai

Neurocomputing, 2022

2021

Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models.

Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Han Liu

Sensors, 2021

A geometry constrained dictionary learning method for industrial process monitoring.

Keke Huang, Haofei Wen, Han Liu, Chunhua Yang, Weihua Gui

Inf. Sci., 2021

Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering.

Hufsa Khan, Xizhao Wang, Han Liu

Comput. Electr. Eng., 2021

Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack.

Patrick P. K. Chan, Juan Zheng, Han Liu, Eric C. C. Tsang, Daniel S. Yeung

Appl. Soft Comput., 2021

Performance Evaluation of Deep Learning Classification Network for Image Features.

Qiang Li, Yingjian Yang, Yingwei Guo, Wei Li, Yang Liu, Han Liu, Yan Kang

IEEE Access, 2021

2020

Human posture recognition based on multiple features and rule learning.

Weili Ding, Bo Hu, Han Liu, Xinming Wang, Xiangsheng Huang

Int. J. Mach. Learn. Cybern., 2020

Heuristic creation of deep rule ensemble through iterative expansion of feature space.

Han Liu, Shyi-Ming Chen

Inf. Sci., 2020

Deep Learning Based Fusion Approach for Hate Speech Detection.

Yanling Zhou, Yanyan Yang, Han Liu, Xiufeng Liu, Nick Savage

IEEE Access, 2020

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

Halefom Tekle Weldegebriel, Han Liu, Anwar Ul Haq, Emmanuel Bugingo, Defu Zhang

IEEE Access, 2020

A Deep Learning Based Wearable Healthcare Iot Device for AI-Enabled Hearing Assistance Automation.

Fraser Young, Li Zhang, Richard Jiang, Han Liu, Conor Wall

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

Object Recognition Using Enhanced Particle Swarm Optimization.

Michael Willis, Li Zhang, Han Liu, Hailun Xie, Kamlesh Mistry

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

Bert-Pair-Networks for Sentiment Classification.

Ziwen Wang, Haiming Wu, Han Liu, Qian-Hua Cai

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.

Han Liu, Pete Burnap, Wafa Alorainy, Matthew L. Williams

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.

Wafa Alorainy, Pete Burnap, Han Liu, Matthew L. Williams

ACM Trans. Web, 2019

A Fuzzy Approach to Text Classification With Two-Stage Training for Ambiguous Instances.

Han Liu, Pete Burnap, Wafa Alorainy, Matthew L. Williams

IEEE Trans. Comput. Soc. Syst., 2019

Heuristic target class selection for advancing performance of coverage-based rule learning.

Han Liu, Shyi-Ming Chen, Mihaela Cocea

Inf. Sci., 2019

Subclass-based semi-random data partitioning for improving sample representativeness.

Han Liu, Shyi-Ming Chen, Mihaela Cocea

Inf. Sci., 2019

Multi-stage mixed rule learning approach for advancing performance of rule-based classification.

Han Liu, Shyi-Ming Chen

Inf. Sci., 2019

Advancing Ensemble Learning Performance through data transformation and classifiers fusion in granular computing context.

Han Liu, Li Zhang

Expert Syst. Appl., 2019

Improving K-means clustering with enhanced Firefly Algorithms.

Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Chengyu Liu, Han Liu, Julie Walters

Appl. Soft Comput., 2019

Fuzzy Multi-task Learning for Hate Speech Type Identification.

Han Liu, Pete Burnap, Wafa Alorainy, Matthew L. Williams

Proceedings of the World Wide Web Conference, 2019

Detection of Suicidal Twitter Posts.

Fatima Chiroma, Mihaela Cocea, Han Liu

Proceedings of the Advances in Computational Intelligence Systems, 2019

Multi-Level Creation of Fuzzy Ensembles through Diversified Settings of Parameters.

Han Liu, Shyi-Ming Chen

Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

Multi-Channel Convolutional Neural Network for Targeted Sentiment Classification.

Ting Yuan, Hai-Hui Li, Hong-Ya Zhao, Qian-Hua Cai, Han Liu, Xiao-Hui Hu

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Multi-Perspective Creation of Diversity for Image Classification In Ensemble Learning Context.

Han Liu, Shyi-Ming Chen

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Multi-Task Ensemble Creation for Advancing Performance of Image Segmentation.

Han Liu, Shyi-Ming Chen

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018

Induction of classification rules by Gini-index based rule generation.

Han Liu, Mihaela Cocea

Inf. Sci., 2018

Mining of Nutritional Ingredients in Food for Disease Analysis.

Zhenfeng Lei, Shuangyuan Yang, Han Liu, Saba Aslam, Jinyu Liu, Halefom Tekle Weldegebriel, Emmanuel Bugingo, Defu Zhang

IEEE Access, 2018

Identification and Classification of Misogynous Tweets Using Multi-classifier Fusion.

Han Liu, Fatima Chiroma, Mihaela Cocea

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.

Han Liu, Shyi-Ming Chen

Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Improving Imbalanced Question Classification Using Structured Smote Based Approach.

Alaa Mohasseb, Mohamed Bahy Bader-El-Den, Mihaela Cocea, Han Liu

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Text Classification For Suicide Related Tweets.

Fatima Chiroma, Han Liu, Mihaela Cocea

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Suiciderelated Text Classification With Prism Algorithm.

Fatima Chiroma, Han Liu, Mihaela Cocea

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.

Wafa Alorainy, Pete Burnap, Han Liu, Amir Javed, Matthew L. Williams

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.

Han Liu, Mihaela Cocea, Weili Ding

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Evaluation of Rule-Based Learning and Feature Selection Approaches For Classification.

Fatima Chiroma, Mihaela Cocea, Han Liu

Proceedings of the 2018 Imperial College Computing Student Workshop, 2018

Fuzzy rule based systems for gender classification from blog data.

Han Liu, Mihaela Cocea

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017

Rule Based Networks: An Efficient and Interpretable Representation of Computational Models.

Han Liu, Alexander E. Gegov, Mihaela Cocea

J. Artif. Intell. Soft Comput. Res., 2017

Domain specific syntax based approach for text classification in machine learning context.

Alaa Mohasseb, Mohamed Bader-El-Den, Han Liu, Mihaela Cocea

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Decision tree learning based feature evaluation and selection for image classification.

Han Liu, Mihaela Cocea, Weili Ding

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.

Han Liu, Mihaela Cocea, Alaa Mohasseb, Mohamed Bader

Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

Fuzzy rule based systems for interpretable sentiment analysis.

Han Liu, Mihaela Cocea

Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

Fuzzy approach for sentiment analysis.

Chris Jefferson, Han Liu, Mihaela Cocea

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Interpretability of Computational Models for Sentiment Analysis.

Han Liu, Mihaela Cocea, Alexander E. Gegov

Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

Collaborative rule generation: An ensemble learning approach.

Han Liu, Alexander E. Gegov, Mihaela Cocea

J. Intell. Fuzzy Syst., 2016

Complexity Control in Rule Based Models for Classification in Machine Learning Context.

Han Liu, Alexander E. Gegov, Mihaela Cocea

Proceedings of the Advances in Computational Intelligence Systems, 2016

Rule based systems and networks: Deterministic and fuzzy approaches.

Han Liu, Alexander E. Gegov

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.

Han Liu, Alexander E. Gegov, Mihaela Cocea

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015

Rule based systems for classification in machine learning context.

Han Liu

PhD thesis, 2015

Hybrid ensemble learning approach for generation of classification rules.

Han Liu, Alexander E. Gegov, Mihaela Cocea

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Network based rule representation for knowledge discovery and predictive modelling.

Han Liu, Alexander E. Gegov, Mihaela Cocea

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

Categorization and Construction of Rule Based Systems.

Han Liu, Alexander E. Gegov, Frederic T. Stahl

Proceedings of the Engineering Applications of Neural Networks, 2014

2012

Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining.

Frederic T. Stahl, Mohamed Medhat Gaber, Paul Aldridge, David May, Han Liu, Max Bramer, Philip S. Yu

Trans. Large Scale Data Knowl. Centered Syst., 2012

2011

Distributed Classification for Pocket Data Mining.

Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011