( en | de | ru )

 

Disambiguation of "Doan, Thanh-Nam"

Author of the publication

copydeleteadd this publication to your clipboard
MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings.

, , , , , and . ESEC/SIGSOFT FSE, page 1736-1740. ACM, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Nguyen Doan Thanh

Thanh-Nam Le

Thanh Nam Nguyen

Gilbert Doan

Andreas Thanhäuser

 

Other publications of authors with the same name

Modeling location-based social network data with area attraction and neighborhood competition., and . Data Min. Knowl. Discov., 33 (1): 58-95 (2019)Mining Business Competitiveness from User Visitation Data., , and . SBP, volume 9021 of Lecture Notes in Computer Science, page 283-289. Springer, (2015)TSLib: A Unified Traffic Signal Control Framework Using Deep Reinforcement Learning and Benchmarking., , and . IEEE BigData, page 1739-1747. IEEE, (2021)HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts., , , , , , , , , and . EMNLP, page 5754-5765. Association for Computational Linguistics, (2023)Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues., and . ADMA, volume 10604 of Lecture Notes in Computer Science, page 429-444. Springer, (2017)MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities, , , , , , and . Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, (October 2022)MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings., , , , , and . ESEC/SIGSOFT FSE, page 1736-1740. ACM, (2022)On Neighborhood Effects in Location-Based Social Networks., , and . WI-IAT (1), page 477-484. IEEE Computer Society, (2015)PACELA: A Neural Framework for User Visitation in Location-based Social Networks., and . UMAP, page 13-21. ACM, (2018)Reinforcement Learning Interpretation Methods: A Survey., , and . IEEE Access, (2020)