Distributed Classification for Pocket Data Mining. - Frederic T. Stahl; Mohamed Medhat Gaber; Han Liu 002; Max Bramer; Philip S. Yu (ISMIS, 2011)

Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining. - Frederic T. Stahl; Mohamed Medhat Gaber; Paul Aldridge; David May 004; Han Liu 002; Max Bramer; Philip S. Yu (Trans. Large Scale Data Knowl. Centered Syst., 2012)

Categorization and Construction of Rule Based Systems. - Han Liu 002; Alexander E. Gegov; Frederic T. Stahl (EANN, 2014)

Network based rule representation for knowledge discovery and predictive modelling. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (FUZZ-IEEE, 2015)

Hybrid ensemble learning approach for generation of classification rules. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (ICMLC, 2015)

Rule based systems for classification in machine learning context. - Han Liu 002 (2015)

Nature and biology inspired approach of classification towards reduction of bias in machine learning. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (ICMLC, 2016)

Rule based systems and networks: Deterministic and fuzzy approaches. - Han Liu 002; Alexander E. Gegov (IEEE Conf. on Intelligent Systems, 2016)

Complexity Control in Rule Based Models for Classification in Machine Learning Context. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (UKCI, 2016)

Collaborative rule generation: An ensemble learning approach. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (J. Intell. Fuzzy Syst., 2016)

Interpretability of Computational Models for Sentiment Analysis. - Han Liu 002; Mihaela Cocea; Alexander E. Gegov (Sentiment Analysis and Ontology Engineering, 2016)

Fuzzy approach for sentiment analysis. - Chris Jefferson; Han Liu 002; Mihaela Cocea (FUZZ-IEEE, 2017)

Fuzzy rule based systems for interpretable sentiment analysis. - Han Liu 002; Mihaela Cocea (ICACI, 2017)

Transformation of discriminative single-task classification into generative multi-task classification in machine learning context. - Han Liu 002; Mihaela Cocea; Alaa Mohasseb; Mohamed Bader (ICACI, 2017)

Decision tree learning based feature evaluation and selection for image classification. - Han Liu 002; Mihaela Cocea; Weili Ding (ICMLC, 2017)

Domain specific syntax based approach for text classification in machine learning context. - Alaa Mohasseb; Mohamed Bader-El-Den; Han Liu 002; Mihaela Cocea (ICMLC, 2017)

Rule Based Networks: An Efficient and Interpretable Representation of Computational Models. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (J. Artif. Intell. Soft Comput. Res., 2017)

Fuzzy rule based systems for gender classification from blog data. - Han Liu 002; Mihaela Cocea (ICACI, 2018)

Evaluation of Rule-Based Learning and Feature Selection Approaches For Classification. - Fatima Chiroma; Mihaela Cocea; Han Liu 002 (ICCSW, 2018)

J-Measure Based Pruning for Advancing Classification Performance of Information Entropy Based Rule Generation. - Han Liu 002; Mihaela Cocea; Weili Ding (ICMLC, 2018)

Suspended Accounts: A Source of Tweets with Disgust and Anger Emotions for Augmenting Hate Speech Data Sample. - Wafa Alorainy; Pete Burnap; Han Liu 002; Amir Javed; Matthew L. Williams (ICMLC, 2018)

Suiciderelated Text Classification With Prism Algorithm. - Fatima Chiroma; Han Liu 002; Mihaela Cocea (ICMLC, 2018)

Text Classification For Suicide Related Tweets. - Fatima Chiroma; Han Liu 002; Mihaela Cocea (ICMLC, 2018)

Improving Imbalanced Question Classification Using Structured Smote Based Approach. - Alaa Mohasseb; Mohamed Bahy Bader-El-Den; Mihaela Cocea; Han Liu 002 (ICMLC, 2018)

Multi-Level Fusion of Classifiers Through Fuzzy Ensemble Learning. - Han Liu 002; Shyi-Ming Chen (ISCID (2), 2018)

Identification and Classification of Misogynous Tweets Using Multi-classifier Fusion. - Han Liu 002; Fatima Chiroma; Mihaela Cocea (IberEval@SEPLN, 2018)

Mining of Nutritional Ingredients in Food for Disease Analysis. - Zhenfeng Lei; Shuangyuan Yang; Han Liu 002; Saba Aslam; Jinyu Liu; Halefom Tekle Weldegebriel; Emmanuel Bugingo; Defu Zhang (IEEE Access, 2018)

Induction of classification rules by Gini-index based rule generation. - Han Liu 002; Mihaela Cocea (Inf. Sci., 2018)

Multi-Task Ensemble Creation for Advancing Performance of Image Segmentation. - Han Liu 002; Shyi-Ming Chen (ICMLC, 2019)

Multi-Perspective Creation of Diversity for Image Classification In Ensemble Learning Context. - Han Liu 002; Shyi-Ming Chen (ICMLC, 2019)

Multi-Channel Convolutional Neural Network for Targeted Sentiment Classification. - Ting Yuan; Hai-Hui Li; Hong-Ya Zhao; Qian-Hua Cai; Han Liu 002; Xiao-Hui Hu (ICMLC, 2019)

Multi-Level Creation of Fuzzy Ensembles through Diversified Settings of Parameters. - Han Liu 002; Shyi-Ming Chen (ISCID (1), 2019)

Detection of Suicidal Twitter Posts. - Fatima Chiroma; Mihaela Cocea; Han Liu 002 (UKCI, 2019)

Fuzzy Multi-task Learning for Hate Speech Type Identification. - Han Liu 002; Pete Burnap; Wafa Alorainy; Matthew L. Williams (WWW, 2019)

Improving K-means clustering with enhanced Firefly Algorithms. - Hailun Xie; Li Zhang 013; Chee Peng Lim; Yonghong Yu; Chengyu Liu 001; Han Liu 002; Julie Walters (Appl. Soft Comput., 2019)

Advancing Ensemble Learning Performance through data transformation and classifiers fusion in granular computing context. - Han Liu 002; Li Zhang 013 (Expert Syst. Appl., 2019)

Multi-stage mixed rule learning approach for advancing performance of rule-based classification. - Han Liu 002; Shyi-Ming Chen (Inf. Sci., 2019)

Subclass-based semi-random data partitioning for improving sample representativeness. - Han Liu 002; Shyi-Ming Chen; Mihaela Cocea (Inf. Sci., 2019)

Heuristic target class selection for advancing performance of coverage-based rule learning. - Han Liu 002; Shyi-Ming Chen; Mihaela Cocea (Inf. Sci., 2019)

A Fuzzy Approach to Text Classification With Two-Stage Training for Ambiguous Instances. - Han Liu 002; Pete Burnap; Wafa Alorainy; Matthew L. Williams (IEEE Trans. Comput. Soc. Syst., 2019)

"The Enemy Among Us": Detecting Cyber Hate Speech with Threats-based Othering Language Embeddings. - Wafa Alorainy; Pete Burnap; Han Liu 002; Matthew L. Williams (ACM Trans. Web, 2019)

Scmhl5 at TRAC-2 Shared Task on Aggression Identification: Bert Based Ensemble Learning Approach. - Han Liu 002; Pete Burnap; Wafa Alorainy; Matthew L. Williams (TRAC@LREC, 2020)

Bert-Pair-Networks for Sentiment Classification. - Ziwen Wang 004; Haiming Wu; Han Liu 002; Qian-Hua Cai (ICMLC, 2020)

Object Recognition Using Enhanced Particle Swarm Optimization. - Michael Willis; Li Zhang 013; Han Liu 002; Hailun Xie; Kamlesh Mistry (ICMLC, 2020)

A Deep Learning Based Wearable Healthcare Iot Device for AI-Enabled Hearing Assistance Automation. - Fraser Young; Li Zhang 013; Richard Jiang 001; Han Liu 002; Conor Wall (ICMLC, 2020)

A New Hybrid Convolutional Neural Network and eXtreme Gradient Boosting Classifier for Recognizing Handwritten Ethiopian Characters. - Halefom Tekle Weldegebriel; Han Liu 002; Anwar Ul Haq; Emmanuel Bugingo; Defu Zhang (IEEE Access, 2020)

Deep Learning Based Fusion Approach for Hate Speech Detection. - Yanling Zhou; Yanyan Yang 002; Han Liu 002; Xiufeng Liu; Nick Savage 001 (IEEE Access, 2020)

Heuristic creation of deep rule ensemble through iterative expansion of feature space. - Han Liu 002; Shyi-Ming Chen (Inf. Sci., 2020)

Human posture recognition based on multiple features and rule learning. - Weili Ding; Bo Hu; Han Liu 002; Xinming Wang; Xiangsheng Huang (Int. J. Mach. Learn. Cybern., 2020)

Performance Evaluation of Deep Learning Classification Network for Image Features. - Qiang Li; Yingjian Yang; Yingwei Guo; Wei Li 238; Yang Liu 199; Han Liu 002; Yan Kang (IEEE Access, 2021)

Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack. - Patrick P. K. Chan; Juan Zheng; Han Liu 002; Eric C. C. Tsang; Daniel S. Yeung (Appl. Soft Comput., 2021)

Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering. - Hufsa Khan; Xizhao Wang; Han Liu 002 (Comput. Electr. Eng., 2021)

A geometry constrained dictionary learning method for industrial process monitoring. - Keke Huang; Haofei Wen; Han Liu 002; Chunhua Yang 001; Weihua Gui 001 (Inf. Sci., 2021)

Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models. - Hailun Xie; Li Zhang 013; Chee Peng Lim; Yonghong Yu; Han Liu 002 (Sensors, 2021)

Learning to recommend journals for submission based on embedding models. - Chao Liu 017; Xizhao Wang; Han Liu 002; Xiaoying Zou; Si Cen; Guoquan Dai (Neurocomputing, 2022)

A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. - Xinlei Zhou; Han Liu 002; Farhad Pourpanah; Tieyong Zeng; Xizhao Wang (Neurocomputing, 2022)

Handling missing data through deep convolutional neural network. - Hufsa Khan; Xizhao Wang; Han Liu 002 (Inf. Sci., 2022)

Empirical study on virtual order of class labels in nominal classification. - Chengwei Li; Han Liu 002; Zhong Ming 001 (Int. J. Mach. Learn. Cybern., 2022)

Disrupting networks of hate: characterising hateful networks and removing critical nodes. - Wafa Alorainy; Pete Burnap; Han Liu 002; Matthew L. Williams; Luca Giommoni (Soc. Netw. Anal. Min., 2022)

An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion. - Si Cen; Han Liu 002; Chao Liu 017; Xiaoying Zou; Guoquan Dai; Xizhao Wang (ICMLC, 2023)

Adaptive Selection of BERT Layer for Multi-Label Text Classification. - Zhichao Chen; Han Liu 002; Qin Zhang 011 (ICMLC, 2023)

A study on relationship between prediction uncertainty and robustness to noisy data. - Hufsa Khan; Xizhao Wang; Han Liu 002 (Int. J. Syst. Sci., 2023)

Knowledge Distillation with Classmate. - Hongwei Su; Han Liu 002; Weipeng Cao; Zhong Ming 001 (ICIC (2), 2024)

High-order polynomial interpolation with CNN: A robust approach for missing data imputation. - Hufsa Khan; Muhammad Tahir Rasheed; Han Liu 002; Shengli Zhang 001 (Comput. Electr. Eng., 2024)

Empirical study of outlier impact in classification context. - Hufsa Khan; Muhammad Tahir Rasheed; Shengli Zhang 001; Xizhao Wang; Han Liu 002 (Expert Syst. Appl., 2024)

End-to-end approach of multi-grained embedding of categorical features in tabular data. - Han Liu 002; Qianxi Qiu; Qin Zhang 011 (Inf. Process. Manag., 2024)

Self Data Augmentation for Open Domain Question Answering. - Qin Zhang 011; Mengqi Zheng; Shangsi Chen; Han Liu 002; Meng Fang (ACM Trans. Inf. Syst., 2025)

FairReason: Balancing Reasoning and Social Bias in MLLMs. - Zhenyu Pan; Yutong Zhang; Jianshu Zhang; Haoran Lu; Haozheng Luo; Yuwei Han; Philip S. Yu; Manling Li; Han Liu 002 (CoRR, 2025)

Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety. - Zhenyu Pan; Yiting Zhang; Yutong Zhang; Jianshu Zhang; Haozheng Luo; Yuwei Han; Dennis Wu; Hong-Yu Chen; Philip S. Yu; Manling Li; Han Liu 002 (CoRR, 2025)