Thanh Trung Huynh

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

Bibliography

2024
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures.
CoRR, 2024

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures.
CoRR, 2024

2023
Scalable maximal subgraph mining with backbone-preserving graph convolutions.
Inf. Sci., October, 2023

Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts.
IEEE Trans. Knowl. Data Eng., May, 2023

Detecting rumours with latency guarantees using massive streaming data.
VLDB J., March, 2023

Validating functional redundancy with mixed generative adversarial networks.
Knowl. Based Syst., March, 2023

Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks.
ACM Trans. Inf. Syst., 2023

Network Alignment With Holistic Embeddings.
IEEE Trans. Knowl. Data Eng., 2023

High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion.
CoRR, 2023

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022
Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2022

Joint Multilingual Knowledge Graph Completion and Alignment.
CoRR, 2022

A Survey of Machine Unlearning.
CoRR, 2022

Unsupervised Air Quality Interpolation with Attentive Graph Neural Network.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

Network Alignment with Holistic Embeddings (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Joint Multilingual Knowledge Graph Completion and Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Social Multi-role Discovering with Hypergraph Embedding for Location-Based Social Networks.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021
Structural representation learning for network alignment with self-supervised anchor links.
Expert Syst. Appl., 2021

Link-Intensive Alignment for Incomplete Knowledge Graphs.
CoRR, 2021

A dual benchmarking study of facial forgery and facial forensics.
CoRR, 2021

Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

ODAR: A Lightweight Object Detection Framework for Autonomous Driving Robots.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
A comparative study on network alignment techniques.
Expert Syst. Appl., 2020

Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Network Alignment by Representation Learning on Structure and Attribute.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2015
A Java library for Constraint-Based Local Search: Application to the master thesis defense timetabling problem.
Proceedings of the Sixth International Symposium on Information and Communication Technology, 2015


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