Han Liu - RankMe

95 papers A* 2B 2C 2Misc 26Journal 42Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A simple yet effective feature completion model for relation-level learning in missing data. Inf. Fusion Junyang Chen, Liang-Jie Zhang, Zhelin Huang, Han Liu, Yirui Wu, Huan Wang, Wei Liu, Victor C. M. Leung
2025	J	`jnl`	AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning. CoRR Zhenyu Pan, Yiting Zhang, Zhuo Liu, Yolo Yunlong Tang, Zeliang Zhang, Haozheng Luo, Yuwei Han, Jianshu Zhang, Dennis Wu, Hong-Yu Chen, Haoran Lu, Haoyang Fang, Manling Li, Chenliang Xu, Philip S. Yu, Han Liu
2025	J	`jnl`	Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety. CoRR Zhenyu Pan, Yiting Zhang, Yutong Zhang, Jianshu Zhang, Haozheng Luo, Yuwei Han, Dennis Wu, Hong-Yu Chen, Philip S. Yu, Manling Li, Han Liu
2025	J	`jnl`	FairReason: Balancing Reasoning and Social Bias in MLLMs. CoRR Zhenyu Pan, Yutong Zhang, Jianshu Zhang, Haoran Lu, Haozheng Luo, Yuwei Han, Philip S. Yu, Manling Li, Han Liu
2025	—	`conf`	Filter Pruning for Efficient CNNs via Adaptive Saliency Selection and Knowledge-Driven Hints. ICIC (18) Zujie Lin, Han Liu, Yinghui Pan
2025	J	`jnl`	Graph-augmented contrastive clustering for time series data. Knowl. Based Syst. Qin Zhang, Zhuoluo Liang, Alladoumbaye Ngueilbaye, Han Liu, Hong Zhou, Joshua Zhexue Huang
2025	—	`conf`	Hard400: A Bilingual Code Generation Evaluation Benchmark for Large Language Models. ICIC (18) Qin Zhang, Song Zhang, Junjie Li, Hong Zhou, Xiaojun Chen, Han Liu
2025	J	`jnl`	Self Data Augmentation for Open Domain Question Answering. ACM Trans. Inf. Syst. Qin Zhang, Mengqi Zheng, Shangsi Chen, Han Liu, Meng Fang
2025	J	`jnl`	Solving industrial chain job scheduling problems through a deep reinforcement learning method with decay strategy. Inf. Sci. Limin Hua, Han Liu, Yinghui Pan
2025	A*	`conf`	Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks. AAAI Han Liu, Jiaqing Zhan, Qin Zhang
2025	—	`conf`	Uncertainty-Aware Label Regularisation Driven by Class Embedding with Attention Mechanism. ICIC (18) Han Liu, Peiwei Li, Qin Zhang, Yinghui Pan
2024	J	`jnl`	Empirical study of outlier impact in classification context. Expert Syst. Appl. Hufsa Khan, Muhammad Tahir Rasheed, Shengli Zhang, Xizhao Wang, Han Liu
2024	J	`jnl`	End-to-end approach of multi-grained embedding of categorical features in tabular data. Inf. Process. Manag. Han Liu, Qianxi Qiu, Qin Zhang
2024	J	`jnl`	High-order polynomial interpolation with CNN: A robust approach for missing data imputation. Comput. Electr. Eng. Hufsa Khan, Muhammad Tahir Rasheed, Han Liu, Shengli Zhang
2024	—	`conf`	Knowledge Distillation with Classmate. ICIC (2) Hongwei Su, Han Liu, Weipeng Cao, Zhong Ming
2023	J	`jnl`	A study on relationship between prediction uncertainty and robustness to noisy data. Int. J. Syst. Sci. Hufsa Khan, Xizhao Wang, Han Liu
2023	Misc	`conf`	Adaptive Selection of BERT Layer for Multi-Label Text Classification. ICMLC Zhichao Chen, Han Liu, Qin Zhang
2023	Misc	`conf`	An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion. ICMLC Si Cen, Han Liu, Chao Liu, Xiaoying Zou, Guoquan Dai, Xizhao Wang
2023	Misc	`conf`	Binary Decomposition for Multi-Class Classification Problems: Development and Applications. ICMLC Peiwei Li, Han Liu
2023	Misc	`conf`	De-Biasing Methods in Neural Networks: A Survey. ICMLC Yixin Wang, Han Liu
2023	Misc	`conf`	Federated Reinforcement Learning for Sharing Experiences Between Multiple Workers. ICMLC Wenliang Feng, Han Liu, Xiaogang Peng
2023	J	`jnl`	Multi-modality deep forest for hand motion recognition via fusing sEMG and acceleration signals. Int. J. Mach. Learn. Cybern. Yinfeng Fang, Huiqiao Lu, Han Liu
2023	Misc	`conf`	Numerical Embedding of Categorical Features in Tabular Data: A Survey. ICMLC Qianxi Qiu, Han Liu
2023	—	`ed.`	Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2022, Leicester, UK, November 20-21, 2022 MICAD Ruidan Su, Yudong Zhang, Han Liu, Alejandro F. Frangi
2023	Misc	`conf`	Recent Advancements and Challenges in Multimodal Sentiment Analysis: A Survey. ICMLC Zhen-Xun Dong, Han Liu
2022	J	`jnl`	A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. Neurocomputing Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
2022	J	`jnl`	Disrupting networks of hate: characterising hateful networks and removing critical nodes. Soc. Netw. Anal. Min. Wafa Alorainy, Pete Burnap, Han Liu, Matthew L. Williams, Luca Giommoni
2022	J	`jnl`	Empirical study on virtual order of class labels in nominal classification. Int. J. Mach. Learn. Cybern. Chengwei Li, Han Liu, Zhong Ming
2022	J	`jnl`	Handling missing data through deep convolutional neural network. Inf. Sci. Hufsa Khan, Xizhao Wang, Han Liu
2022	J	`jnl`	Learning to recommend journals for submission based on embedding models. Neurocomputing Chao Liu, Xizhao Wang, Han Liu, Xiaoying Zou, Si Cen, Guoquan Dai
2021	J	`jnl`	A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
2021	J	`jnl`	A geometry constrained dictionary learning method for industrial process monitoring. Inf. Sci. Keke Huang, Haofei Wen, Han Liu, Chunhua Yang, Weihua Gui
2021	J	`jnl`	Class-weighted neural network for monotonic imbalanced classification. Int. J. Mach. Learn. Cybern. Hong Zhu, Han Liu, Ai-Min Fu
2021	J	`jnl`	Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models. Sensors Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Han Liu
2021	J	`jnl`	Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering. Comput. Electr. Eng. Hufsa Khan, Xizhao Wang, Han Liu
2021	J	`jnl`	Performance Evaluation of Deep Learning Classification Network for Image Features. IEEE Access Qiang Li, Yingjian Yang, Yingwei Guo, Wei Li, Yang Liu, Han Liu, Yan Kang
2021	—	`ed.`	Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2021, Birmingham, United Kingdom, March 25-26, 2021. MICAD Ruidan Su, Yu-Dong Zhang, Han Liu
2021	J	`jnl`	Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack. Appl. Soft Comput. Patrick P. K. Chan, Juan Zheng, Han Liu, Eric C. C. Tsang, Daniel S. Yeung
2020	Misc	`conf`	A Deep Learning Based Wearable Healthcare Iot Device for AI-Enabled Hearing Assistance Automation. ICMLC Fraser Young, Li Zhang, Richard Jiang, Han Liu, Conor Wall
2020	J	`jnl`	A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation. CoRR Fraser Young, Li Zhang, Richard Jiang, Han Liu, Conor Wall
2020	J	`jnl`	A New Hybrid Convolutional Neural Network and eXtreme Gradient Boosting Classifier for Recognizing Handwritten Ethiopian Characters. IEEE Access Halefom Tekle Weldegebriel, Han Liu, Anwar Ul Haq, Emmanuel Bugingo, Defu Zhang
2020	Misc	`conf`	Bert-Pair-Networks for Sentiment Classification. ICMLC Ziwen Wang, Haiming Wu, Han Liu, Qian-Hua Cai
2020	J	`jnl`	Deep Learning Based Fusion Approach for Hate Speech Detection. IEEE Access Yanling Zhou, Yanyan Yang, Han Liu, Xiufeng Liu, Nick Savage
2020	J	`jnl`	Heuristic creation of deep rule ensemble through iterative expansion of feature space. Inf. Sci. Han Liu, Shyi-Ming Chen
2020	J	`jnl`	Human posture recognition based on multiple features and rule learning. Int. J. Mach. Learn. Cybern. Weili Ding, Bo Hu, Han Liu, Xinming Wang, Xiangsheng Huang
2020	J	`jnl`	Multi-Feature Input Deep Forest for EEG-Based Emotion Recognition. Frontiers Neurorobotics Yinfeng Fang, Haiyang Yang, Xuguang Zhang, Han Liu, Bo Tao
2020	Misc	`conf`	Object Recognition Using Enhanced Particle Swarm Optimization. ICMLC Michael Willis, Li Zhang, Han Liu, Hailun Xie, Kamlesh Mistry
2020	—	`ed.`	Proceedings of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2020, Oxford, UK, January 20-21, 2020. MICAD Ruidan Su, Han Liu
2020	—	`conf`	Scmhl5 at TRAC-2 Shared Task on Aggression Identification: Bert Based Ensemble Learning Approach. TRAC@LREC Han Liu, Pete Burnap, Wafa Alorainy, Matthew L. Williams
2019	J	`jnl`	"The Enemy Among Us": Detecting Cyber Hate Speech with Threats-based Othering Language Embeddings. ACM Trans. Web Wafa Alorainy, Pete Burnap, Han Liu, Matthew L. Williams
2019	J	`jnl`	A Fuzzy Approach to Text Classification With Two-Stage Training for Ambiguous Instances. IEEE Trans. Comput. Soc. Syst. Han Liu, Pete Burnap, Wafa Alorainy, Matthew L. Williams
2019	J	`jnl`	Advancing Ensemble Learning Performance through data transformation and classifiers fusion in granular computing context. Expert Syst. Appl. Han Liu, Li Zhang
2019	Misc	`conf`	An Improved Siamese Network for Face Sketch Recognition. ICMLC Liang Fan, Han Liu, Yuxuan Hou
2019	—	`conf`	Detection of Suicidal Twitter Posts. UKCI Fatima Chiroma, Mihaela Cocea, Han Liu
2019	Misc	`conf`	Efficient Binocular Stereo Matching Based on Sad and Improved Census Transformation. ICMLC Yun Zhang, Wenxiang Chen, Han Liu, Jinhua Liu, Hui Du
2019	A*	`conf`	Fuzzy Multi-task Learning for Hate Speech Type Identification. WWW Han Liu, Pete Burnap, Wafa Alorainy, Matthew L. Williams
2019	J	`jnl`	Heuristic target class selection for advancing performance of coverage-based rule learning. Inf. Sci. Han Liu, Shyi-Ming Chen, Mihaela Cocea
2019	J	`jnl`	Improving K-means clustering with enhanced Firefly Algorithms. Appl. Soft Comput. Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Chengyu Liu, Han Liu, Julie Walters
2019	Misc	`conf`	Multi-Channel Convolutional Neural Network for Targeted Sentiment Classification. ICMLC Ting Yuan, Hai-Hui Li, Hong-Ya Zhao, Qian-Hua Cai, Han Liu, Xiao-Hui Hu
2019	—	`conf`	Multi-Level Creation of Fuzzy Ensembles through Diversified Settings of Parameters. ISCID (1) Han Liu, Shyi-Ming Chen
2019	Misc	`conf`	Multi-Perspective Creation of Diversity for Image Classification In Ensemble Learning Context. ICMLC Han Liu, Shyi-Ming Chen
2019	Misc	`conf`	Multi-Task Ensemble Creation for Advancing Performance of Image Segmentation. ICMLC Han Liu, Shyi-Ming Chen
2019	J	`jnl`	Multi-stage mixed rule learning approach for advancing performance of rule-based classification. Inf. Sci. Han Liu, Shyi-Ming Chen
2019	Misc	`conf`	Numeric Prediction of Dissolved Oxygen Status Through Two-Stage Training for Classification-Driven Regression. ICMLC Pengfei Guo, Han Liu, Shuangyin Liu, Longqin Xu
2019	J	`jnl`	Subclass-based semi-random data partitioning for improving sample representativeness. Inf. Sci. Han Liu, Shyi-Ming Chen, Mihaela Cocea
2018	—	`conf`	Evaluation of Rule-Based Learning and Feature Selection Approaches For Classification. ICCSW Fatima Chiroma, Mihaela Cocea, Han Liu
2018	—	`conf`	Fuzzy rule based systems for gender classification from blog data. ICACI Han Liu, Mihaela Cocea
2018	—	`conf`	Identification and Classification of Misogynous Tweets Using Multi-classifier Fusion. IberEval@SEPLN Han Liu, Fatima Chiroma, Mihaela Cocea
2018	Misc	`conf`	Improving Imbalanced Question Classification Using Structured Smote Based Approach. ICMLC Alaa Mohasseb, Mohamed Bahy Bader-El-Den, Mihaela Cocea, Han Liu
2018	J	`jnl`	Induction of classification rules by Gini-index based rule generation. Inf. Sci. Han Liu, Mihaela Cocea
2018	Misc	`conf`	J-Measure Based Pruning for Advancing Classification Performance of Information Entropy Based Rule Generation. ICMLC Han Liu, Mihaela Cocea, Weili Ding
2018	J	`jnl`	Mining of Nutritional Ingredients in Food for Disease Analysis. IEEE Access Zhenfeng Lei, Shuangyuan Yang, Han Liu, Saba Aslam, Jinyu Liu, Halefom Tekle Weldegebriel, Emmanuel Bugingo, Defu Zhang
2018	—	`conf`	Multi-Level Fusion of Classifiers Through Fuzzy Ensemble Learning. ISCID (2) Han Liu, Shyi-Ming Chen
2018	—	`conf`	Occlusion Robust Tracking for Multiple Faces with Wavelet Packet Transform Feature and BP Neural Network. CISP-BMEI Hui-Huang Zhao, Han Liu, Jin-Hua Zheng, Bin Fu
2018	Misc	`conf`	Suiciderelated Text Classification With Prism Algorithm. ICMLC Fatima Chiroma, Han Liu, Mihaela Cocea
2018	Misc	`conf`	Suspended Accounts: A Source of Tweets with Disgust and Anger Emotions for Augmenting Hate Speech Data Sample. ICMLC Wafa Alorainy, Pete Burnap, Han Liu, Amir Javed, Matthew L. Williams
2018	Misc	`conf`	Text Classification For Suicide Related Tweets. ICMLC Fatima Chiroma, Han Liu, Mihaela Cocea
2017	Misc	`conf`	Decision tree learning based feature evaluation and selection for image classification. ICMLC Han Liu, Mihaela Cocea, Weili Ding
2017	Misc	`conf`	Domain specific syntax based approach for text classification in machine learning context. ICMLC Alaa Mohasseb, Mohamed Bader-El-Den, Han Liu, Mihaela Cocea
2017	B	`conf`	Fuzzy approach for sentiment analysis. FUZZ-IEEE Chris Jefferson, Han Liu, Mihaela Cocea
2017	—	`conf`	Fuzzy rule based systems for interpretable sentiment analysis. ICACI Han Liu, Mihaela Cocea
2017	J	`jnl`	Rule Based Networks: An Efficient and Interpretable Representation of Computational Models. J. Artif. Intell. Soft Comput. Res. Han Liu, Alexander E. Gegov, Mihaela Cocea
2017	—	`conf`	Transformation of discriminative single-task classification into generative multi-task classification in machine learning context. ICACI Han Liu, Mihaela Cocea, Alaa Mohasseb, Mohamed Bader
2017	Misc	`conf`	Virtual topology partitioning towards an efficient failure recovery of software defined networks. ICMLC Ali Malik, Benjamin Aziz, Chih-Heng Ke, Han Liu, Mo Adda
2016	J	`jnl`	Collaborative rule generation: An ensemble learning approach. J. Intell. Fuzzy Syst. Han Liu, Alexander E. Gegov, Mihaela Cocea
2016	—	`conf`	Complexity Control in Rule Based Models for Classification in Machine Learning Context. UKCI Han Liu, Alexander E. Gegov, Mihaela Cocea
2016	—	`ch.`	Interpretability of Computational Models for Sentiment Analysis. Sentiment Analysis and Ontology Engineering Han Liu, Mihaela Cocea, Alexander E. Gegov
2016	Misc	`conf`	Nature and biology inspired approach of classification towards reduction of bias in machine learning. ICMLC Han Liu, Alexander E. Gegov, Mihaela Cocea
2016	—	`conf`	Rule based systems and networks: Deterministic and fuzzy approaches. IEEE Conf. on Intelligent Systems Han Liu, Alexander E. Gegov
2015	Misc	`conf`	Hybrid ensemble learning approach for generation of classification rules. ICMLC Han Liu, Alexander E. Gegov, Mihaela Cocea
2015	B	`conf`	Network based rule representation for knowledge discovery and predictive modelling. FUZZ-IEEE Han Liu, Alexander E. Gegov, Mihaela Cocea
2015	—	`—`	Rule based systems for classification in machine learning context. Han Liu
2014	C	`conf`	Categorization and Construction of Rule Based Systems. EANN Han Liu, Alexander E. Gegov, Frederic T. Stahl
2012	J	`jnl`	Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining. Trans. Large Scale Data Knowl. Centered Syst. Frederic T. Stahl, Mohamed Medhat Gaber, Paul Aldridge, David May, Han Liu, Max Bramer, Philip S. Yu
2011	C	`conf`	Distributed Classification for Pocket Data Mining. ISMIS Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu