Thanh-Nam Doan

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Collaborative Filtering

Tensor Factorization

Social Networks

Top Venues

ESEC/SIGSOFT FSE

Publications

Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang
MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection. MSR (2023)
Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR (2023)
Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP (2023)
Hoang H. Nguyen, Nhat-Minh Nguyen, Hong-Phuc Doan, Zahra Ahmadi, Thanh-Nam Doan, Lingxiao Jiang
MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings. ESEC/SIGSOFT FSE (2022)
Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. DSAA (2022)
Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen, Thanh-Nam Doan
SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. SIGIR (2022)
Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. CoRR (2022)
Thanh-Nam Doan, Tuan-Anh Hoang
Benchmarking Neural Topic Models: An Empirical Study. ACL/IJCNLP (Findings) (2021)
Thi-Huyen Nguyen, Hoang H. Nguyen, Zahra Ahmadi, Tuan-Anh Hoang, Thanh-Nam Doan
On the Impact of Dataset Size: A Twitter Classification Case Study. WI/IAT (2021)
Toan V. Tran, Thanh-Nam Doan, Mina Sartipi
TSLib: A Unified Traffic Signal Control Framework Using Deep Reinforcement Learning and Benchmarking. IEEE BigData (2021)
Alnour Alharin, Thanh-Nam Doan, Mina Sartipi
Reinforcement Learning Interpretation Methods: A Survey. IEEE Access 8 (2020)
Alnour Alharin, Yatri Patel, Thanh-Nam Doan, Mina Sartipi
Data Analysis and Visualization of Traffic in Chicago with Size and Landuse-Aware Vehicle to Buildings Assignment. SMC (2020)
Thanh-Nam Doan, Shaghayegh Sahebi
TransCrossCF: Transition-based Cross-Domain Collaborative Filtering. ICMLA (2020)
Le Tuan Phan, Thanh-Nam Doan, Mina Sartipi
Understanding the Effect of COVID-19 on Fuel Consumption of Public Transportation: The Case Study of Chattanooga, TN. IEEE BigData (2020)
Thanh-Nam Doan, Shaghayegh Sahebi
Rank-Based Tensor Factorization for Student Performance Prediction. EDM (2019)
Thanh-Nam Doan, Shaghayegh Sahebi
Review-Based Cross-Domain Collaborative Filtering: A Neural Framework. ComplexRec@RecSys (2019)
Thanh-Nam Doan, Ee-Peng Lim
Modeling location-based social network data with area attraction and neighborhood competition. Data Min. Knowl. Discov. 33 (1) (2019)
Thanh-Nam Doan, Ee-Peng Lim
PACELA: A Neural Framework for User Visitation in Location-based Social Networks. UMAP (2018)
Thanh-Nam Doan, Ee-Peng Lim
Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues. ADMA (2017)
Thanh-Nam Doan, Ee-Peng Lim
Attractiveness versus Competition: Towards an Unified Model for User Visitation. CIKM (2016)
Thanh-Nam Doan, Freddy Chong Tat Chua, Ee-Peng Lim
On Neighborhood Effects in Location-Based Social Networks. WI-IAT (1) (2015)
Thanh-Nam Doan, Freddy Chong Tat Chua, Ee-Peng Lim
Mining Business Competitiveness from User Visitation Data. SBP (2015)