Huanhuan Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2025
A Binary Classification Social Network Dataset for Graph Machine Learning.
CoRR, March, 2025

Research on the impact of lithium battery ageing cycles on a data-driven lithium battery model.
World Wide Web (WWW), January, 2025

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

Relation Classification via Bidirectional Prompt Learning with Data Augmentation by Large Language Model.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Pro-IDD: Pareto-based ensemble for imbalanced and drifting data streams.
Knowl. Based Syst., December, 2023

2022
The Spatial Spillover Effect of College Students' Entrepreneurial Activeness Degree.
Int. J. Emerg. Technol. Learn., August, 2022

An Encoder-Decoder Network for Automatic Clinical Target Volume Target Segmentation of Cervical Cancer in CT Images.
Int. J. Crowd Sci., 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

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
University-Industry Collaborative Innovation Evolutionary Game and Simulation Research: The Agent Coupling and Group Size View.
IEEE Trans. Engineering Management, 2021

Recent Trends in Food Intake Monitoring using Wearable Sensors.
CoRR, 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

Relation Classification with Entity Type Restriction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Ensemble Pruning Based on Objection Maximization With a General Distributed Framework.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Graph Based and Patient Demographics Aware Dialogue System for Disease Diagnosis.
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

Lattice Boltzmann simulation for unsteady shock wave/boundary layer interaction in a shock tube.
Comput. Math. Appl., 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.
Proceedings of the Intelligent Systems and Applications, 2020

2019
Short Isometric Shapelet Transform for Binary Time Series Classification.
CoRR, 2019

When does Diversity Help Generalization in Classification Ensembles?
CoRR, 2019

Back Attention Knowledge Transfer for Low-resource Named Entity Recognition.
CoRR, 2019

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

RTPDB: a database providing associations between genetic variation or expression and cancer prognosis with radiotherapy-based treatment.
Database J. Biol. Databases Curation, 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
Gesture segmentation based on a two-phase estimation of distribution algorithm.
Inf. Sci., 2017

Dynamic State Warping.
CoRR, 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

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
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2016

A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population.
Inf. Sci., 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

2014
Pre-Silicon Bug Forecast.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014

Sparse Bayesian approach for feature selection.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014

2012
EEG Based Foot Movement Onset Detection with the Probabilistic Classification Vector Machine.
Proceedings of the Neural Information Processing - 19th 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

2009
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining.
IEEE Trans. Evol. Comput., 2009


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