Yuxiao Huang

Orcid: 0000-0002-1521-2757

According to our database1, Yuxiao Huang authored at least 43 papers between 2011 and 2024.

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Bibliography

2024
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems.
CoRR, 2024

Asynchronous and Segmented Bidirectional Encoding for NMT.
CoRR, 2024

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Adversarial Representation Mechanism Learning for Network Embedding.
IEEE Trans. Knowl. Data Eng., 2023

Amer: A New Attribute-Missing Network Embedding Approach.
IEEE Trans. Cybern., 2023

Optimistic and Pessimistic Actor in RL: Decoupling Exploration and Utilization.
CoRR, 2023

Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Contrastive Learning Meets Homophily: Two Birds with One Stone.
Proceedings of the International Conference on Machine Learning, 2023

Trafformer: Unify Time and Space in Traffic Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.
IEEE Trans. Intell. Transp. Syst., 2022

Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm.
IEEE Trans. Evol. Comput., 2022

Identification of Communities With Multi-Semantics via Bayesian Generative Model.
IEEE Trans. Big Data, 2022

A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism.
IEEE Trans. Big Data, 2022

A tutorial on generative adversarial networks with application to classification of imbalanced data.
Stat. Anal. Data Min., 2022

Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization.
Neural Comput. Appl., 2022

Solving vehicle routing problem by memetic search with evolutionary multitasking.
Memetic Comput., 2022

CIGAN: A Python Package for Handling Class Imbalance using Generative Adversarial Networks.
CoRR, 2022

Feature discretization-based deep clustering for thyroid ultrasound image feature extraction.
Comput. Biol. Medicine, 2022

Graph Neural Network for Higher-Order Dependency Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Inflation Improves Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern., 2021

A Tibetan Language Model That Considers the Relationship Between Suffixes and Functional Words.
IEEE Signal Process. Lett., 2021

A network embedding-enhanced Bayesian model for generalized community detection in complex networks.
Inf. Sci., 2021

Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.
CoRR, 2021

Evolutionary Multitasking via Artificial Neural Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Self-Guided Community Detection on Networks with Missing Edges.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Adversarial Mutual Information Learning for Network Embedding.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Improving Classification Accuracy by Mining Deterministic and Frequent Rules.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019
A Novel Generative Topic Embedding Model by Introducing Network Communities.
Proceedings of the World Wide Web Conference, 2019

An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2016
Multimodality sensing for eating recognition.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

2015
Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data.
J. Biomed. Informatics, 2015

Unintrusive eating recognition using Google Glass.
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, 2015

Fast and Accurate Causal Inference from Time Series Data.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014
Computational prediction of protein interactions related to the invasion of erythrocytes by malarial parasites.
BMC Bioinform., 2014

Imputation of Missing Values in Time Series with Lagged Correlations.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2012
A search problem in complex diagnostic Bayesian networks.
Knowl. Based Syst., 2012

An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks.
Adv. Complex Syst., 2012

Learning the structure of Dynamic Bayesian Network with domain knowledge.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
A factor graph inference algorithm for diagnostic Bayesian networks.
Proceedings of the Seventh International Conference on Natural Computation, 2011


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