Mining Business Competitiveness from User Visitation Data. - Thanh-Nam Doan; Freddy Chong Tat Chua; Ee-Peng Lim (SBP, 2015)

On Neighborhood Effects in Location-Based Social Networks. - Thanh-Nam Doan; Freddy Chong Tat Chua; Ee-Peng Lim (WI-IAT (1), 2015)

Attractiveness versus Competition: Towards an Unified Model for User Visitation. - Thanh-Nam Doan; Ee-Peng Lim (CIKM, 2016)

Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues. - Thanh-Nam Doan; Ee-Peng Lim (ADMA, 2017)

PACELA: A Neural Framework for User Visitation in Location-based Social Networks. - Thanh-Nam Doan; Ee-Peng Lim (UMAP, 2018)

Rank-Based Tensor Factorization for Student Performance Prediction. - Thanh-Nam Doan; Shaghayegh Sahebi (EDM, 2019)

Review-Based Cross-Domain Collaborative Filtering: A Neural Framework. - Thanh-Nam Doan; Shaghayegh Sahebi (ComplexRec@RecSys, 2019)

Modeling location-based social network data with area attraction and neighborhood competition. - Thanh-Nam Doan; Ee-Peng Lim (Data Min. Knowl. Discov., 2019)

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 (IEEE BigData, 2020)

TransCrossCF: Transition-based Cross-Domain Collaborative Filtering. - Thanh-Nam Doan; Shaghayegh Sahebi (ICMLA, 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 (SMC, 2020)

Reinforcement Learning Interpretation Methods: A Survey. - Alnour Alharin; Thanh-Nam Doan; Mina Sartipi (IEEE Access, 2020)

Benchmarking Neural Topic Models: An Empirical Study. - Thanh-Nam Doan; Tuan-Anh Hoang (ACL/IJCNLP (Findings), 2021)

TSLib: A Unified Traffic Signal Control Framework Using Deep Reinforcement Learning and Benchmarking. - Toan V. Tran 001; Thanh-Nam Doan; Mina Sartipi (IEEE BigData, 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 (WI/IAT, 2021)

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 (DSAA, 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 (SIGIR, 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 (ESEC/SIGSOFT FSE, 2022)

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 001; Steven C. H. Hoi (EMNLP, 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 (MSR, 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 001; Steven C. H. Hoi (CoRR, 2023)

Rethinking Embedding Vectors for Electric Vehicle Charging Stations: An Empirical Study. - Seyedmehdi Khaleghian; Thanh-Nam Doan; Joe Knox; Mina Sartipi (IEEE Big Data, 2024)

Data-Driven Insights Into EV Charging Patterns: Machine Learning Models Reveal Key Predictors of Station Utilization in Tennessee. - Seyedmehdi Khaleghian; Thanh-Nam Doan; Joe Knox; Austin Harris 002; Mina Sartipi (IEEE Access, 2025)