Huanhuan Chen

发表

Semisupervised Classification With Cluster

Rodrigo G. F. Soares, X. Yao, Huanhuan Chen, 2012 .

Ensemble Learning through Diversity Management: Theory, Algorithms, and Applications

Huanhuan Chen, Xin Yao, X. Yao, 2011 .

Robust twin boosting for feature selection from high-dimensional omics data with label noise

Huanhuan Chen, Xin Yao, Zexuan Zhu, 2015, Inf. Sci..

Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property

X. Yao, Huanhuan Chen, Weijie Zheng, 2020, IEEE Transactions on Evolutionary Computation.

Model-based kernel for efficient time series analysis

X. Yao, P. Tiňo, Huanhuan Chen, 2013, KDD.

Evolving Least Squares Support Vector Machines for Stock Market Trend Mining

Huanhuan Chen, Kin Keung Lai, Lean Yu, 2009, IEEE Trans. Evol. Comput..

Probabilistic Classification Vector Machines

Huanhuan Chen, Peter Tiño, Xin Yao, 2009, IEEE Transactions on Neural Networks.

Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection

Huanhuan Chen, Peter Tiño, Xin Yao, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Trade-Off Between Diversity and Accuracy in Ensemble Generation

Huanhuan Chen, Xin Yao, Arjun Chandra, 2006, Multi-Objective Machine Learning.

Multiple Kernel k-Means Clustering by Selecting Representative Kernels

Huanhuan Chen, Yaqiang Yao, Huanhuan Chen, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Efficient Cluster-Based Boosting for Semisupervised Classification

Huanhuan Chen, Xin Yao, Rodrigo G. F. Soares, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Semisupervised Negative Correlation Learning

Huanhuan Chen, Xin Yao, Bingbing Jiang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model

Huanhuan Chen, Xin Yao, Bo Yuan, 2017, IEEE Transactions on Knowledge and Data Engineering.

A Cluster-Based Semisupervised Ensemble for Multiclass Classification

Huanhuan Chen, Xin Yao, Rodrigo G. F. Soares, 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.

Semisupervised Classification With Cluster Regularization

Huanhuan Chen, Xin Yao, Rodrigo G. F. Soares, 2012, IEEE Transactions on Neural Networks and Learning Systems.

A Probabilistic Ensemble Pruning Algorithm

Huanhuan Chen, Peter Tiño, Xin Yao, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Latent Topic Text Representation Learning on Statistical Manifolds

Huanhuan Chen, Anthony G. Cohn, Bingbing Jiang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Grammatical Error Correction with Dependency Distance

Huanhuan Chen, Haowen Lin, Jinlong Li, 2021, CIKM.

Unsupervised Change Detection in Satellite Images With Generative Adversarial Network pdf

Huanhuan Chen, Xiangyu Wang, Caijun Ren, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Accurate Markov Boundary Discovery for Causal Feature Selection

Huanhuan Chen, Chunyan Miao, Xingyu Wu, 2020, IEEE Transactions on Cybernetics.

The Benefits of Modeling Slack Variables in SVMs

Pedro Antonio Gutiérrez, Huanhuan Chen, Fengzhen Tang, 2015, Neural Computation.

Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021)

Xin Yao, Huanhuan Chen, Weijie Zheng, 2021, GECCO Companion.

Short isometric shapelet transform for binary time series classification

Weibo Shu, Yaqiang Yao, Huanhuan Chen, 2019, Knowledge and Information Systems.

Probabilistic Feature Selection and Classification Vector Machine

M. de Rijke, Huanhuan Chen, Xin Yao, 2016, ACM Trans. Knowl. Discov. Data.

Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition

Kui Yu, Bingbing Jiang, Huanhuan Chen, 2021, Inf. Sci..

Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach

Huanhuan Chen, Kui Yu, Bingbing Jiang, 2019, AAAI.

A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population

Huanhuan Chen, Xiaojun Wu, Jun Sun, 2016, Inf. Sci..

Auxiliary Learning for Relation Extraction

Chunyan Miao, Lizhen Cui, Shengfei Lyu, 2022, IEEE Transactions on Emerging Topics in Computational Intelligence.

BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection

Huanhuan Chen, Chunyan Miao, Di Wang, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Defect- and Variation-Tolerant Logic Mapping in Nanocrossbar Using Bipartite Matching and Memetic Algorithm

Bin Li, Huanhuan Chen, Xin Yao, 2016, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Learning in the Model Space for Fault Diagnosis pdf

Huanhuan Chen, Peter Tiño, Xin Yao, 2012, ArXiv.

Learning in the Model Space for Cognitive Fault Diagnosis

Huanhuan Chen, Peter Tiño, Xin Yao, 2014, IEEE Transactions on Neural Networks and Learning Systems.

EEG Based Foot Movement Onset Detection with the Probabilistic Classification Vector Machine

Huanhuan Chen, Damien Coyle, Raheleh Mohammadi, 2012, ICONIP.

Mining Markov Blankets Without Causal Sufficiency

Huanhuan Chen, Kui Yu, Jiuyong Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection

Huanhuan Chen, Xin Yao, X. Yao, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Short Sequence Classification Through Discriminable Linear Dynamical System

Huanhuan Chen, Yang Li, Junyuan Hong, 2019, IEEE Transactions on Neural Networks and Learning Systems.

When non-elitism meets time-linkage problems

Xin Yao, Huanhuan Chen, Weijie Zheng, 2021, GECCO.

Learning the deterministically constructed Echo State Networks

Huanhuan Chen, Fengzhen Tang, Peter Tiño, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Sequential data classification by dynamic state warping

Huanhuan Chen, Zhichen Gong, 2018, Knowledge and Information Systems.

Balancing exploration and exploitation in multiobjective evolutionary optimization

Qingfu Zhang, Huanhuan Chen, Jianyong Sun, 2018, GECCO.

Semi-supervised Learning with Missing Values Imputation pdf

Huanhuan Chen, Buliao Huang, Yunhui Zhu, 2021, Knowl. Based Syst..

Online Dynamic Network Embedding pdf

Huanhuan Chen, Jinlong Li, Huimin He, 2020, ArXiv.

Model Metric Co-Learning for Time Series Classification

Huanhuan Chen, Fengzhen Tang, Peter Tiño, 2015, IJCAI.

Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning

Huanhuan Chen, Jie Cao, Yaqiang Yao, 2019, KDD.

Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space

Huanhuan Chen, Peter Tiño, Xin Yao, 2014, Comput. Chem. Eng..

Pre-Silicon Bug Forecast

Huanhuan Chen, Tianshi Chen, Guoliang Chen, 2014, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Predictive Ensemble Pruning by Expectation Propagation

Huanhuan Chen, Peter Tiño, Xin Yao, 2009, IEEE Transactions on Knowledge and Data Engineering.

Attentive multi-task learning for group itinerary recommendation

Jie Cao, Haicheng Tao, Huanhuan Chen, 2021, Knowledge and Information Systems.

Discriminative Learning in the Model Space for Symbolic Sequence Classification

Huanhuan Chen, Xin Yao, Yaqiang Yao, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

Multiobjective Learning in the Model Space for Time Series Classification

Huanhuan Chen, Xin Yao, Bo Yuan, 2019, IEEE Transactions on Cybernetics.

Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning

Huanhuan Chen, Xin Yao, X. Yao, 2010, IEEE Transactions on Knowledge and Data Engineering.

When Does Diversity Help Generalization in Classification Ensembles?

Huanhuan Chen, Yijun Bian, 2019, IEEE Transactions on Cybernetics.

Multi-Label Causal Feature Selection

Huanhuan Chen, Chunyan Miao, Kui Yu, 2020, AAAI.

Negative correlation learning for classification ensembles

Huanhuan Chen, Xin Yao, Shuo Wang, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Variant Grassmann Manifolds

Huanhuan Chen, Yang Li, Junyuan Hong, 2019, ACM Trans. Knowl. Discov. Data.

A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes pdf

Huanhuan Chen, Peng Zhang, Jinlong Li, 2020, IEEE Transactions on Evolutionary Computation.

Ensemble Pruning Based on Objection Maximization With a General Distributed Framework

Huanhuan Chen, Yijun Wang, Yaqiang Yao, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A predictive performance comparison of machine learning models for judicial cases

Zhenyu Liu, Huanhuan Chen, Zhenyu Liu, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Revisit Word Embeddings with Semantic Lexicons for Modeling Lexical Contrast

Zhenyu Liu, Huanhuan Chen, Jiawei Liu, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

The University of Birmingham ( Live System ) Robust twin boosting for feature selection from high-dimensional omics data with label noise

X. Yao, H. Cooper, M. Viant, 2016 .

Multiclass Probabilistic Classification Vector Machine

Huanhuan Chen, Yang Li, Xing Tian, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Regularized Negative Correlation Learning for Neural Network Ensembles

Huanhuan Chen, Xin Yao, X. Yao, 2009, IEEE Transactions on Neural Networks.

Ensemble Learning by Negative Correlation Learning

Xin Yao, Anthony G. Cohn, Huanhuan Chen, 2012 .

Tolerant Markov Boundary Discovery for Feature Selection

Huanhuan Chen, Xingyu Wu, Bingbing Jiang, 2020, CIKM.

Probabilistic Classification Vector Machine for Multi-Class Classification pdf

Huanhuan Chen, Yang Li, Xing Tian, 2020, ArXiv.

Model-Based Oversampling for Imbalanced Sequence Classification

Huanhuan Chen, Zhichen Gong, Huanhuan Chen, 2016, CIKM.

Toward Efficient Design Space Exploration for Fault-Tolerant Multiprocessor Systems

Huanhuan Chen, Xin Yao, Bo Yuan, 2020, IEEE Transactions on Evolutionary Computation.

Multi-objective redundancy hardening with optimal task mapping for independent tasks on multi-cores

Bin Li, Zhigang Zeng, Huanhuan Chen, 2019, Soft Comput..

Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix.

J. Kacprzyk, Liu Liu, Dacheng Tao, 2023, IEEE transactions on neural networks and learning systems.

Markov Boundary-Based Outlier Mining

Huanhuan Chen, Kui Yu, Kui Yu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Evolutionary random neural ensembles based on negative correlation learning

Huanhuan Chen, Xin Yao, X. Yao, 2007, 2007 IEEE Congress on Evolutionary Computation.

Semi-supervised learning with extremely sparse labeled data on multiple semi-supervised assumptions

Huanhuan Chen, Ke Tang, Lisong Chen, 2011, 2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Evolving Least Squares Support Vector Machines for Stock Market Trend Mining

K. Lai, Lean Yu, Huanhuan Chen, 2009, IEEE Transactions on Evolutionary Computation.

Gesture segmentation based on a two-phase estimation of distribution algorithm

Huanhuan Chen, Ke Liu, Gaige Wang, 2017, Inf. Sci..

Unsupervised Change Detection in Satellite Images With Generative Adversarial Network

Huanhuan Chen, Xiren Zhou, Jian Gao, 2020, IEEE Transactions on Geoscience and Remote Sensing.

A Cable-Mapping Algorithm Based on Ground-Penetrating Radar

Huanhuan Chen, Jinlong Li, Xiren Zhou, 2019, IEEE Geoscience and Remote Sensing Letters.

Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network

Huanhuan Chen, Peter Tiño, Xin Yao, 2014, Eng. Appl. Artif. Intell..