2025
Research on the impact of lithium battery ageing cycles on a data-driven lithium battery model.
World Wide Web (WWW), January, 2025
From overfitting to robustness: Quantity, quality, and variety oriented negative sample selection in graph contrastive learning.
Appl. Soft Comput., 2025
Generation-Augmented and Embedding Fusion in Document-Level Event Argument Extraction.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering.
Proc. ACM Meas. Anal. Comput. Syst., December, 2024
Artificial Intelligence to Facilitate the Conceptual Stage of Interior Space Design: Conditional Generative Adversarial Network-Supported Long-Term Care Space Floor Plan Design of Retirement Home Buildings.
Appl. Artif. Intell., December, 2024
Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
A Survey on Reinforcement Learning for Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Intensive Class Imbalance Learning in Drifting Data Streams.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024
Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming.
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IEEE Trans. Evol. Comput., June, 2024
Knowledge search and firm innovation: the roles of knowledge inertia and knowledge integration capability.
Technol. Anal. Strateg. Manag., June, 2024
Underground Diagnosis Based on GPR and Learning in the Model Space.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Self-Attention Over Tree for Relation Extraction With Data-Efficiency and Computational Efficiency.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Knowledge Verification From Data.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Research Ideas Discovery via Hierarchical Negative Correlation.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal With External Consistency.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Decentralised Knowledge Graph Evolution via Blockchain.
IEEE Trans. Serv. Comput., 2024
Iterative Polygon Deformation for Building Extraction.
IEEE Trans. Geosci. Remote. Sens., 2024
Enhanced Anomaly Detection in GPR Data by Combining Spatial and Dynamic Information.
IEEE Trans. Geosci. Remote. Sens., 2024
Leveraging Multisource Label Learning for Underground Object Recognition.
IEEE Trans. Geosci. Remote. Sens., 2024
From Data to D3 Model: Adaptive Subsurface Anomaly Detection in GPR Data.
IEEE Trans. Geosci. Remote. Sens., 2024
Enhanced Change Detection in Unregistered Images With CNNs and Attention GANs.
IEEE Geosci. Remote. Sens. Lett., 2024
Semi-supervised learning with missing values imputation.
Knowl. Based Syst., 2024
EMRIL: Ensemble Method based on ReInforcement Learning for binary classification in imbalanced drifting data streams.
Neurocomputing, 2024
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition.
Int. J. Crowd Sci., 2024
Inject Less, Recover More: Unlocking the Potential of Document Recovery in Injection Attacks Against SSE.
IACR Cryptol. ePrint Arch., 2024
File-Injection Attacks on Searchable Encryption, Based on Binomial Structures.
IACR Cryptol. ePrint Arch., 2024
Similar Data is Powerful: Enhancing Inference Attacks on SSE with Volume Leakages.
IACR Cryptol. ePrint Arch., 2024
Bin.INI: An ensemble approach for dynamic data streams.
Expert Syst. Appl., 2024
MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM.
CoRR, 2024
Heterogeneous data augmentation in graph contrastive learning for effective negative samples.
Comput. Electr. Eng., 2024
Differentiable Structure Learning with Partial Orders.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
DualStyle3D: Real-time Exemplar-based Artistic Portrait View Synthesis Based on Radiance Field.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024
Multi-Model Consistency for LLMs' Evaluation.
Proceedings of the International Joint Conference on Neural Networks, 2024
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
A Dual-module Framework for Counterfactual Estimation over Time.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Relation Classification via Bidirectional Prompt Learning with Data Augmentation by Large Language Model.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A distribution-based representation of Knowledge Quality.
Knowl. Based Syst., December, 2023
Pro-IDD: Pareto-based ensemble for imbalanced and drifting data streams.
Knowl. Based Syst., December, 2023
A Systematic Survey of Regularization and Normalization in GANs.
ACM Comput. Surv., November, 2023
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Multicomponent Adversarial Domain Adaptation: A General Framework.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
A Background Knowledge Revising and Incorporating Dialogue Model.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Brain-Inspired Search Engine Assistant Based on Knowledge Graph.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
A Weighted Heterogeneous Graph-Based Dialog System.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Graph Neural Networks for Missing Value Classification in a Task-Driven Metric Space.
IEEE Trans. Knowl. Data Eng., August, 2023
Three-way Preference Completion via Preference Graph.
ACM Trans. Knowl. Discov. Data, July, 2023
Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Temporal knowledge graph embedding via sparse transfer matrix.
Inf. Sci., April, 2023
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location.
ACM Trans. Knowl. Discov. Data, January, 2023
Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space.
IEEE Trans. Geosci. Remote. Sens., 2023
Underground Pipeline Mapping From Multipositional Data: Data Acquisition Platform and Pipeline Mapping Model.
IEEE Trans. Geosci. Remote. Sens., 2023
Accurate Label Refinement From Multiannotator of Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2023
Causal Structure Learning Supervised by Large Language Model.
CoRR, 2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems.
CoRR, 2023
From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data.
CoRR, 2023
Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge.
CoRR, 2023
Adaptive Nonlinear Dimensionality Reduction with a Local Metric.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023
CCA-1 Secure Updatable Encryption with Adaptive Security.
Proceedings of the Advances in Cryptology - ASIACRYPT 2023, 2023
Practical Markov Boundary Learning without Strong Assumptions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Temporal pattern mining from user-generated content.
Digit. Commun. Networks, December, 2022
Contextual-Aware Information Extractor with Adaptive Objective for Chinese Medical Dialogues.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022
The Spatial Spillover Effect of College Students' Entrepreneurial Activeness Degree.
Int. J. Emerg. Technol. Learn., August, 2022
Subarchitecture Ensemble Pruning in Neural Architecture Search.
IEEE Trans. Neural Networks Learn. Syst., 2022
Dynamic Link Prediction for Discovery of New Impactful COVID-19 Research Approaches.
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IEEE J. Biomed. Health Informatics, 2022
Adaptive Polygon Generation Algorithm for Automatic Building Extraction.
IEEE Trans. Geosci. Remote. Sens., 2022
Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression.
IEEE Trans. Geosci. Remote. Sens., 2022
An Underground Pipeline Mapping Method Based on Fusion of Multisource Data.
IEEE Trans. Geosci. Remote. Sens., 2022
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Auxiliary Learning for Relation Extraction.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Guest Editorial Special Issue on Computational Intelligence in Big Graph Data Management.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Frequent Pattern Mining in Big Social Graphs.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
When Does Diversity Help Generalization in Classification Ensembles?
IEEE Trans. Cybern., 2022
Ellipse Inversion Model for Estimating the Orientation and Radius of Pipes From GPR Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Domain knowledge-enhanced variable selection for biomedical data analysis.
Inf. Sci., 2022
Robust multi-view learning via adaptive regression.
Inf. Sci., 2022
Link Prediction in Continuous-Time Dynamic Heterogeneous Graphs with Causality of Event Types.
Int. J. Crowd Sci., 2022
An Encoder-Decoder Network for Automatic Clinical Target Volume Target Segmentation of Cervical Cancer in CT Images.
Int. J. Crowd Sci., 2022
Volume and Access Pattern Leakage-abuse Attack with Leaked Documents.
IACR Cryptol. ePrint Arch., 2022
Stronger and Simpler Updatable Encryption.
IACR Cryptol. ePrint Arch., 2022
Certainty-based Preference Completion.
Data Intell., 2022
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data.
CoRR, 2022
BRIEF but Powerful: Byzantine-Robust and Privacy-Preserving Federated Learning via Model Segmentation and Secure clustering.
CoRR, 2022
Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model.
CoRR, 2022
Level-wise Dynamic Label Assignment for Oriented Object Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Conditional Inpainting Generative Flow.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Generalization Bounds for Estimating Causal Effects of Continuous Treatments.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
An Improved Spray And Wait Algorithm Based on the Node Social Tree.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022
VAL: Volume and Access Pattern Leakage-Abuse Attack with Leaked Documents.
Proceedings of the Computer Security - ESORICS 2022, 2022
No-Directional and Backward-Leak Uni-Directional Updatable Encryption Are Equivalent.
Proceedings of the Computer Security - ESORICS 2022, 2022
Nonlinear Causal Discovery in Time Series.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues.
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022
2021
Multiple Kernel k-Means Clustering by Selecting Representative Kernels.
IEEE Trans. Neural Networks Learn. Syst., 2021
Unsupervised Change Detection in Satellite Images With Generative Adversarial Network.
IEEE Trans. Geosci. Remote. Sens., 2021
Discriminative Learning in the Model Space for Symbolic Sequence Classification.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Symbolic Sequence Classification in the Fractal Space.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
University-Industry Collaborative Innovation Evolutionary Game and Simulation Research: The Agent Coupling and Group Size View.
IEEE Trans. Engineering Management, 2021
Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property.
IEEE Trans. Evol. Comput., 2021
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes.
IEEE Trans. Evol. Comput., 2021
How does knowledge coupling affect exploratory and exploitative innovation? The chained mediation role of organisational memory and knowledge creation.
Technol. Anal. Strateg. Manag., 2021
Proximity-based group formation game model for community detection in social network.
Knowl. Based Syst., 2021
Short isometric shapelet transform for binary time series classification.
Knowl. Inf. Syst., 2021
Attentive multi-task learning for group itinerary recommendation.
Knowl. Inf. Syst., 2021
Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition.
Inf. Sci., 2021
Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition.
CoRR, 2021
Recent Trends in Food Intake Monitoring using Wearable Sensors.
CoRR, 2021
Multi-Label Local-to-Global Feature Selection.
Proceedings of the International Joint Conference on Neural Networks, 2021
When non-elitism meets time-linkage problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021).
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Grammatical Error Correction with Dependency Distance.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Your Smart Contracts Are Not Secure: Investigating Arbitrageurs and Oracle Manipulators in Ethereum.
Proceedings of the CYSARM@CCS '21: Proceedings of the 3rd Workshop on Cyber-Security Arms Race, 2021
Relation Classification with Entity Type Restriction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Multiclass Probabilistic Classification Vector Machine.
IEEE Trans. Neural Networks Learn. Syst., 2020
Ensemble Pruning Based on Objection Maximization With a General Distributed Framework.
IEEE Trans. Neural Networks Learn. Syst., 2020
Toward Efficient Design Space Exploration for Fault-Tolerant Multiprocessor Systems.
IEEE Trans. Evol. Comput., 2020
Accurate Markov Boundary Discovery for Causal Feature Selection.
IEEE Trans. Cybern., 2020
Multi-objective redundancy hardening with optimal task mapping for independent tasks on multi-cores.
Soft Comput., 2020
Weighted partial order oriented three-way decisions under score-based common voting rules.
Int. J. Approx. Reason., 2020
Trustworthy Preference Completion in Social Choice.
CoRR, 2020
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables.
CoRR, 2020
A Graph Based and Patient Demographics Aware Dialogue System for Disease Diagnosis.
CoRR, 2020
Unsupervised Change Detection in Satellite Images with Generative Adversarial Network.
CoRR, 2020
Correction of Faulty Background Knowledge based on Condition Aware and Revise Transformer for Question Answering.
CoRR, 2020
Online Dynamic Network Embedding.
CoRR, 2020
Probabilistic Classification Vector Machine for Multi-Class Classification.
CoRR, 2020
Lattice Boltzmann simulation for unsteady shock wave/boundary layer interaction in a shock tube.
Comput. Math. Appl., 2020
Underground Pipeline Mapping Based on Dirichlet Process Mixture Model.
IEEE Access, 2020
Condition Aware and Revise Transformer for Question Answering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Spatial Constrained K-Means for Image Segmentation.
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Proceedings of the Intelligent Systems and Applications, 2020
BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Tolerant Markov Boundary Discovery for Feature Selection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Multi-Label Causal Feature Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Markov Boundary-Based Outlier Mining.
IEEE Trans. Neural Networks Learn. Syst., 2019
Short Sequence Classification Through Discriminable Linear Dynamical System.
IEEE Trans. Neural Networks Learn. Syst., 2019
Probabilistic Mixture Model for Mapping the Underground Pipes.
ACM Trans. Knowl. Discov. Data, 2019
Probabilistic Feature Selection and Classification Vector Machine.
ACM Trans. Knowl. Discov. Data, 2019
Variant Grassmann Manifolds: A Representation Augmentation Method for Action Recognition.
ACM Trans. Knowl. Discov. Data, 2019
Efficient Detection of Buried Plastic Pipes by Combining GPR and Electric Field Methods.
IEEE Trans. Geosci. Remote. Sens., 2019
Multiobjective Learning in the Model Space for Time Series Classification.
IEEE Trans. Cybern., 2019
A Cable-Mapping Algorithm Based on Ground-Penetrating Radar.
IEEE Geosci. Remote. Sens. Lett., 2019
Short Isometric Shapelet Transform for Binary Time Series Classification.
CoRR, 2019
Sub-Architecture Ensemble Pruning in Neural Architecture Search.
CoRR, 2019
Back Attention Knowledge Transfer for Low-resource Named Entity Recognition.
CoRR, 2019
Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Mining Markov Blankets Without Causal Sufficiency.
IEEE Trans. Neural Networks Learn. Syst., 2018
Efficient Cluster-Based Boosting for Semisupervised Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018
Latent Topic Text Representation Learning on Statistical Manifolds.
IEEE Trans. Neural Networks Learn. Syst., 2018
Semisupervised Negative Correlation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018
An Automatic GPR B-Scan Image Interpreting Model.
IEEE Trans. Geosci. Remote. Sens., 2018
Human Activity Recognition with Posture Tendency Descriptors on Action Snippets.
IEEE Trans. Big Data, 2018
Sequential data classification by dynamic state warping.
Knowl. Inf. Syst., 2018
Multiple Kernel k-Means Clustering by Selecting Representative Kernels.
CoRR, 2018
Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches.
CoRR, 2018
Disturbance Grassmann Kernels for Subspace-Based Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Balancing exploration and exploitation in multiobjective evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model.
IEEE Trans. Knowl. Data Eng., 2017
A Cluster-Based Semisupervised Ensemble for Multiclass Classification.
IEEE Trans. Emerg. Top. Comput. Intell., 2017
Optimal relay placement for lifetime maximization in wireless underground sensor networks.
Inf. Sci., 2017
Gesture segmentation based on a two-phase estimation of distribution algorithm.
Inf. Sci., 2017
Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project.
IEEE Access, 2017
A predictive performance comparison of machine learning models for judicial cases.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Understanding Data Partition for Applications on CPU-GPU Integrated Processors.
Proceedings of the Mobile Ad-hoc and Sensor Networks - 13th International Conference, 2017
An Effective Martin Kernel for Time Series Classification.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Granger Causality for Multivariate Time Series Classification.
Proceedings of the IEEE International Conference on Big Knowledge, 2017
Revisit Word Embeddings with Semantic Lexicons for Modeling Lexical Contrast.
Proceedings of the IEEE International Conference on Big Knowledge, 2017
2016
Defect- and Variation-Tolerant Logic Mapping in Nanocrossbar Using Bipartite Matching and Memetic Algorithm.
IEEE Trans. Very Large Scale Integr. Syst., 2016
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
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IEEE Trans. Neural Networks Learn. Syst., 2016
A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population.
Inf. Sci., 2016
Probabilistic Feature Selection and Classification Vector Machine.
CoRR, 2016
Sequential Data Classification in the Space of Liquid State Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Improve Chinese Word Embeddings by Exploiting Internal Structure.
Proceedings of the NAACL HLT 2016, 2016
Model-Based Oversampling for Imbalanced Sequence Classification.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem.
IEEE Trans. Cybern., 2015
The Benefits of Modeling Slack Variables in SVMs.
Neural Comput., 2015
Robust twin boosting for feature selection from high-dimensional omics data with label noise.
Inf. Sci., 2015
Knowledge Engineering with Big Data.
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IEEE Intell. Syst., 2015
Model Metric Co-Learning for Time Series Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
2014
Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection.
IEEE Trans. Neural Networks Learn. Syst., 2014
Learning in the Model Space for Cognitive Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., 2014
Pre-Silicon Bug Forecast.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014
Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network.
Eng. Appl. Artif. Intell., 2014
Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space.
Comput. Chem. Eng., 2014
Learning the deterministically constructed Echo State Networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Support Vector Ordinal Regression using Privileged Information.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Sparse Bayesian approach for feature selection.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014
2013
Model-based kernel for efficient time series analysis.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
2012
Semisupervised Classification With Cluster Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2012
Learning in the Model Space for Fault Diagnosis
CoRR, 2012
EEG Based Foot Movement Onset Detection with the Probabilistic Classification Vector Machine.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
Semi-supervised learning with extremely sparse labeled data on multiple semi-supervised assumptions.
Proceedings of the Third International Conference of Soft Computing and Pattern Recognition, 2011
Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach.
Proceedings of the IJCAI 2011, 2011
2010
Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning.
IEEE Trans. Knowl. Data Eng., 2010
Negative correlation learning for classification ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2010
Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data.
Proceedings of the International Joint Conference on Neural Networks, 2010
Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar.
Proceedings of the ECAI 2010, 2010
2009
Regularized Negative Correlation Learning for Neural Network Ensembles.
IEEE Trans. Neural Networks, 2009
Probabilistic Classification Vector Machines.
IEEE Trans. Neural Networks, 2009
Predictive Ensemble Pruning by Expectation Propagation.
IEEE Trans. Knowl. Data Eng., 2009
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining.
IEEE Trans. Evol. Comput., 2009
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning.
Proceedings of the Artificial Neural Networks, 2009
2007
Evolutionary Ensemble for <i>In Silico</i> Prediction of Ames Test Mutagenicity.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007
Evolutionary random neural ensembles based on negative correlation learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Trade-Off Between Diversity and Accuracy in Ensemble Generation.
Proceedings of the Multi-Objective Machine Learning, 2006
A Probabilistic Ensemble Pruning Algorithm.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2004
Quantum secure circuit evaluation.
Sci. China Ser. F Inf. Sci., 2004
HW-SW partitioning based on genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004