Han Liu

发表

Face hallucination via multiple feature learning with hierarchical structure

C. L. Philip Chen, Licheng Liu, Han Liu, 2020, Inf. Sci..

An attribute reduction SVM-based tax assessment model

Han Liu, Xiaoqing Yu, Wanggen Wan, 2008, 2008 International Conference on Audio, Language and Image Processing.

Fuzzy information granulation towards interpretable sentiment analysis

Han Liu, Mihaela Cocea, Han Liu, 2017, GRC 2017.

Application of artificial neural networks for prediction of the retention indices of alkylbenzenes

Han Liu, Ruisheng Zhang, Mancang Liu, 1999 .

Multi-granularity Semi-random Data Partitioning

Han Liu, Mihaela Cocea, 2018 .

Han Liu, Mihaela Cocea, Fatima Chiroma, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Ensemble Learning Approaches

Han Liu, Mihaela Cocea, Alexander Gegov, 2016 .

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

Shyi-Ming Chen, Han Liu, Mihaela Cocea, 2019, Inf. Sci..

Fuzzy rule based systems for interpretable sentiment analysis

Han Liu, Mihaela Cocea, Han Liu, 2017, 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI).

Optimal, two‐stage, adaptive enrichment designs for randomized trials, using sparse linear programming

Han Liu, Ethan X. Fang, Michael Rosenblum, 2020, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Fuzzy rule based systems for gender classification from blog data

Han Liu, Mihaela Cocea, Han Liu, 2018, 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI).

Analysis of Misalignment Effect on Wireless Charging System for Inspection Robots

Han Liu, Dariusz Czarkowski, Xueliang Huang, 2019, IOP Conference Series: Materials Science and Engineering.

Nature-inspired framework of ensemble learning for collaborative classification in granular computing context

Han Liu, Mihaela Cocea, Han Liu, 2018, Granular Computing.

Nature Inspired Semi-heuristic Learning

Han Liu, Mihaela Cocea, Han Liu, 2018 .

Seraph: Enabling Cross-Platform Security Analysis For EVM and WASM Smart Contracts

Han Liu, Lei Wang, Yue Li, 2020, 2020 IEEE/ACM 42nd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion).

A Novel Maze Representation Approach for Finding Filled Path of A Mobile Robot

Han Liu, Yilin Liu, Mengyu Ge, 2019 .

Fuzzy Multi-task Learning for Hate Speech Type Identification

Han Liu, Pete Burnap, Wafa Alorainy, 2019, WWW.

Granular computing-based approach for classification towards reduction of bias in ensemble learning

Han Liu, Mihaela Cocea, Han Liu, 2017, GRC 2017.

Semi-supervised Learning Through Machine Based Labelling

Han Liu, Mihaela Cocea, Han Liu, 2018 .

Multi-granularity Rule Learning

Han Liu, Mihaela Cocea, 2018 .

Maneuvering Prediction of a VLCC Model Based on CFD Simulation for PMM Tests by Using a Circulating Water Channel

Han Liu, Ning Ma, Xiechong Gu, 2015 .

Rule Based Systems for Big Data

Han Liu, Mihaela Cocea, Alexander Gegov, 2015 .

Fuzzy Classification Through Generative Multi-task Learning

Han Liu, Mihaela Cocea, Han Liu, 2018 .

Fuzzy approach for sentiment analysis

Han Liu, Mihaela Cocea, Chris Jefferson, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Semi-random partitioning of data into training and test sets in granular computing context

Han Liu, Mihaela Cocea, Han Liu, 2017, GRC 2017.

J-Measure Based Pruning for Advancing Classification Performance of Information Entropy Based Rule Generation

Han Liu, Weili Ding, Mihaela Cocea, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Rule-based systems: a granular computing perspective

Han Liu, Mihaela Cocea, Alexander Gegov, 2016, Granular Computing.

Transformation of discriminative single-task classification into generative multi-task classification in machine learning context

Han Liu, Alaa Mohasseb, Mihaela Cocea, 2017, 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI).

Granular computing based machine learning: a big data processing approach

Han Liu, Mihaela Cocea, 2018 .

Decision tree learning based feature evaluation and selection for image classification

Han Liu, Weili Ding, Mihaela Cocea, 2017, 2017 International Conference on Machine Learning and Cybernetics (ICMLC).

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

Han Liu, Mihaela Cocea, Fatima Chiroma, 2018, ICCSW.

Collaborative rule generation: An ensemble learning approach

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2016, J. Intell. Fuzzy Syst..

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

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2017, J. Artif. Intell. Soft Comput. Res..

APPLICATION OF NEURAL NETWORK ON BLAST-FURNACE SETTLEMENT PREDICTION

Han Liu, 2000 .

Development of Parametric Modeling System for the Whole High Bypass Ratio Turbofan Engine based on Secondary Development of UG

Han Liu, Xi Kuang, Gui-huo Luo, 2018 .

Adding Structure: Social Network Inference with Graph Priors

Stratis Ioannidis, Han Liu, Chen-Nee Chuah, 2016, KDD 2016.

Accurate Recovery of Sparse Objects With Perfect Mask Based on Joint Sparse Reconstruction

Han Liu, Chengyou Yin, Qimeng Fan, 2019, IEEE Access.

Traditional Machine Learning

Han Liu, Mihaela Cocea, Han Liu, 2018 .

Collaborative decision making by ensemble rule based classification systems

Han Liu, Alexander Gegov, Han Liu, 2015 .

Unified framework for construction of rule based classification systems

Han Liu, Frederic Stahl, Frederic T. Stahl, 2015 .

Hybrid ensemble learning approach for generation of classification rules

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2015, 2015 International Conference on Machine Learning and Cybernetics (ICMLC).

Generation of Classification Rules

Han Liu, Mihaela Cocea, Alexander Gegov, 2016 .

Induction of classification rules by Gini-index based rule generation

Han Liu, Mihaela Cocea, Han Liu, 2018, Inf. Sci..

Nature and biology inspired approach of classification towards reduction of bias in machine learning

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2016, 2016 International Conference on Machine Learning and Cybernetics (ICMLC).

Unified Framework for Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data

Han Liu, Mihaela Cocea, Alexander Gegov, 2017 .

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

Shyi-Ming Chen, Han Liu, Mihaela Cocea, 2019, Inf. Sci..

A New Auto-Extraction Algorithm of Multi-Size Lunar Craters Based on the Chang’E Data

Han Liu, Xiao Lin Tian, Ao Ao Xu, 2014 .

Multi-task learning for intelligent data processing in granular computing context

Han Liu, Mihaela Cocea, Weili Ding, 2018 .

Suspended Accounts: A Source of Tweets with Disgust and Anger Emotions for Augmenting Hate Speech Data Sample

Han Liu, Pete Burnap, Amir Javed, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Study on signatures of P2P protocols based on regular expressions

Han Liu, Tianming Xia, Ruiqi Song, 2008, 2008 International Conference on Audio, Language and Image Processing.

Proposal pyramid networks for fast face detection

Han Liu, Shiming Ge, Wei Shen, 2019, Inf. Sci..

Protect Your Smart Contract Against Unfair Payment

Bin Wang, Han Liu, Yue Li, 2020, 2020 International Symposium on Reliable Distributed Systems (SRDS).

Simplification of Classification Rules

Han Liu, Mihaela Cocea, Alexander Gegov, 2016 .

Representation of Classification Rules

Han Liu, Mihaela Cocea, Alexander Gegov, 2016 .

J-measure based hybrid pruning for complexity reduction in classification rules

Han Liu, Frederic Stahl, Frederic T. Stahl, 2013 .

Network based rule representation for knowledge discovery and predictive modelling

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Induction of Modular Classification Rules by Information Entropy Based Rule Generation

Han Liu, Alexander Gegov, 2016 .

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

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2016, UKCI.

Fuzzy rule-based systems for recognition-intensive classification in granular computing context

Han Liu, Li Zhang, Han Liu, 2018 .

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

Han Liu, Li Zhang, Han Liu, 2019, Expert Syst. Appl..

Granular computing-based approach of rule learning for binary classification

Han Liu, Mihaela Cocea, 2019 .

Interpretability of Computational Models for Sentiment Analysis

Han Liu, Alexander Gegov, Mihaela Cocea, 2016, Sentiment Analysis and Ontology Engineering.

Class-weighted neural network for monotonic imbalanced classification

Han Liu, Hong Zhu, Aimin Fu, 2021, International Journal of Machine Learning and Cybernetics.