Thanh Tam Nguyen

Orcid: 0000-0002-2586-7757

According to our database1, Thanh Tam Nguyen authored at least 72 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining.
ACM Trans. Intell. Syst. Technol., February, 2024

2023
Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things.
IEEE J. Biomed. Health Informatics, November, 2023

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

Example-based explanations for streaming fraud detection on graphs.
Inf. Sci., April, 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

Deep MinCut: Learning Node Embeddings by Detecting Communities.
Pattern Recognit., 2023

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era.
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

Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability.
Proceedings of the International Joint Conference on Neural Networks, 2023

10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention.
Proceedings of the International Joint Conference on Neural Networks, 2023

Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Fast Yet Effective Speech Emotion Recognition with Self-Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

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

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Nature vs. Nurture: Feature vs. Structure for Graph Neural Networks.
Pattern Recognit. Lett., 2022

Model-agnostic and diverse explanations for streaming rumour graphs.
Knowl. Based Syst., 2022

Real-time wildfire detection with semantic explanations.
Expert Syst. Appl., 2022

Deep learning for deepfakes creation and detection: A survey.
Comput. Vis. Image Underst., 2022

Joint Multilingual Knowledge Graph Completion and Alignment.
CoRR, 2022

A Survey of Machine Unlearning.
CoRR, 2022

Lightweight Branching Self-distillation: Be Your Own Teacher.
Proceedings of the Robot Intelligence Technology and Applications 7, 2022

Short-Term Traffic Speed Prediction Using Hybrid LSTM-SVR Model.
Proceedings of the Robot Intelligence Technology and Applications 7, 2022

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis.
Proceedings of the Interspeech 2022, 2022

exRumourLens: Auditable Rumour Detection with Multi-View Explanations.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

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

Perfomance Evalution for the GFDM in the vehiculare channel.
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2022

Prototype Learning for Interpretable Respiratory Sound Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Comparative Study of Question Answering over Knowledge Bases.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
JUDO: Just-in-time rumour detection in streaming social platforms.
Inf. Sci., 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

EIRES: Efficient Integration of Remote Data in Event Stream Processing.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

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

Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Realtime Bushfire Detection with Spatial-based Complex Event Processing.
Proceedings of the 15th International Conference on Advanced Computing and Applications, 2021

2020
Monitoring agriculture areas with satellite images and deep learning.
Appl. Soft Comput., 2020

Multi-Scale Bushfire Detection From Multi-Modal Streams of Remote Sensing Data.
IEEE Access, 2020

FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

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

2019
Debunking Misinformation on the Web: Detection, Validation, and Visualisation.
PhD thesis, 2019

Efficient User Guidance for Validating Participatory Sensing Data.
ACM Trans. Intell. Syst. Technol., 2019

User Guidance for Efficient Fact Checking.
Proc. VLDB Endow., 2019

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms.
Proc. VLDB Endow., 2019

Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models.
Inf. Syst., 2019

Maximal fusion of facts on the web with credibility guarantee.
Inf. Fusion, 2019

Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

2018
Computing Crowd Consensus with Partial Agreement.
IEEE Trans. Knowl. Data Eng., 2018

Diversifying Group Recommendation.
IEEE Access, 2018

What-If Analysis with Conflicting Goals: Recommending Data Ranges for Exploration.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Answer validation for generic crowdsourcing tasks with minimal efforts.
VLDB J., 2017

Argument discovery via crowdsourcing.
VLDB J., 2017

Retaining Data from Streams of Social Platforms with Minimal Regret.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Learning space model for educational social networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Centrality clustering-based sampling for big data visualization.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Visualizing Learning Activities in Social Network.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Result selection and summarization for Web Table search.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

SMART: A tool for analyzing and reconciling schema matching networks.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

An Evaluation of Diversification Techniques.
Proceedings of the Database and Expert Systems Applications, 2015

Tag-Based Paper Retrieval: Minimizing User Effort with Diversity Awareness.
Proceedings of the Database Systems for Advanced Applications, 2015

2014
Reconciling Schema Matching Networks Through Crowdsourcing.
EAI Endorsed Trans. Collab. Comput., 2014

Pay-as-you-go reconciliation in schema matching networks.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Privacy-Preserving Schema Reuse.
Proceedings of the Database Systems for Advanced Applications, 2014

2013
An Evaluation of Aggregation Techniques in Crowdsourcing.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

BATC: a benchmark for aggregation techniques in crowdsourcing.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

On Leveraging Crowdsourcing Techniques for Schema Matching Networks.
Proceedings of the Database Systems for Advanced Applications, 2013

2012
A Framework to Combine Multiple Matchers for Pair-Wise Schema Matching.
Proceedings of the 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Ho Chi Minh City, Vietnam, February 27, 2012


  Loading...