Thanh-Nam Doan

According to our database, Thanh-Nam Doan authored at least 21 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.

Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi

CoRR, 2023

MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection.

Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.

Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings.

Hoang H. Nguyen, Nhat-Minh Nguyen, Hong-Phuc Doan, Zahra Ahmadi, Thanh-Nam Doan, Lingxiao Jiang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data.

Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen, Thanh-Nam Doan

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities.

Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

On the Impact of Dataset Size: A Twitter Classification Case Study.

Thi-Huyen Nguyen, Hoang H. Nguyen, Zahra Ahmadi, Tuan-Anh Hoang, Thanh-Nam Doan

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

TSLib: A Unified Traffic Signal Control Framework Using Deep Reinforcement Learning and Benchmarking.

Toan V. Tran, Thanh-Nam Doan, Mina Sartipi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Benchmarking Neural Topic Models: An Empirical Study.

Thanh-Nam Doan, Tuan-Anh Hoang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Reinforcement Learning Interpretation Methods: A Survey.

Alnour Alharin, Thanh-Nam Doan, Mina Sartipi

IEEE Access, 2020

Data Analysis and Visualization of Traffic in Chicago with Size and Landuse-Aware Vehicle to Buildings Assignment.

Alnour Alharin, Yatri Patel, Thanh-Nam Doan, Mina Sartipi

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

TransCrossCF: Transition-based Cross-Domain Collaborative Filtering.

Thanh-Nam Doan, Shaghayegh Sahebi

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Understanding the Effect of COVID-19 on Fuel Consumption of Public Transportation: The Case Study of Chattanooga, TN.

Le Tuan Phan, Thanh-Nam Doan, Mina Sartipi

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Modeling location-based social network data with area attraction and neighborhood competition.

Thanh-Nam Doan, Ee-Peng Lim

Data Min. Knowl. Discov., 2019

Review-Based Cross-Domain Collaborative Filtering: A Neural Framework.

Thanh-Nam Doan, Shaghayegh Sahebi

Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Rank-Based Tensor Factorization for Student Performance Prediction.

Thanh-Nam Doan, Shaghayegh Sahebi

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

PACELA: A Neural Framework for User Visitation in Location-based Social Networks.

Thanh-Nam Doan, Ee-Peng Lim

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

2017

Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues.

Thanh-Nam Doan, Ee-Peng Lim

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

Attractiveness versus Competition: Towards an Unified Model for User Visitation.

Thanh-Nam Doan, Ee-Peng Lim

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

On Neighborhood Effects in Location-Based Social Networks.

Thanh-Nam Doan, Freddy Chong Tat Chua, Ee-Peng Lim

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Mining Business Competitiveness from User Visitation Data.

Thanh-Nam Doan, Freddy Chong Tat Chua, Ee-Peng Lim

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015