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Thanh-Nam Doan
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2020 – today
- 2023
- [c18]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: 5754-5765 - [c17]Hoang H. Nguyen
, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi
MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection. MSR 2023: 334-346 - [i2]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 abs/2312.07035 (2023) - 2022
- [c16]Hoang H. Nguyen
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. DSAA 2022: 1-10 - [c15]Hoang H. Nguyen
SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. SIGIR 2022: 3036-3045 - [c14]Hoang H. Nguyen
MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings. ESEC/SIGSOFT FSE 2022: 1736-1740 - [i1]Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. CoRR abs/2208.13252 (2022) - 2021
- [c13]Thanh-Nam Doan, Tuan-Anh Hoang:
Benchmarking Neural Topic Models: An Empirical Study. ACL/IJCNLP (Findings) 2021: 4363-4368 - [c12]Toan V. Tran, Thanh-Nam Doan, Mina Sartipi:
TSLib: A Unified Traffic Signal Control Framework Using Deep Reinforcement Learning and Benchmarking. IEEE BigData 2021: 1739-1747 - [c11]Thi-Huyen Nguyen
On the Impact of Dataset Size: A Twitter Classification Case Study. WI/IAT 2021: 210-217 - 2020
- [j2]Alnour Alharin
Reinforcement Learning Interpretation Methods: A Survey. IEEE Access 8: 171058-171077 (2020) - [c10]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: 5801-5803 - [c9]Thanh-Nam Doan, Shaghayegh Sahebi:
TransCrossCF: Transition-based Cross-Domain Collaborative Filtering. ICMLA 2020: 320-327 - [c8]Alnour Alharin, Yatri Patel
Data Analysis and Visualization of Traffic in Chicago with Size and Landuse-Aware Vehicle to Buildings Assignment. SMC 2020: 518-529
2010 – 2019
- 2019
- [j1]Thanh-Nam Doan
Modeling location-based social network data with area attraction and neighborhood competition. Data Min. Knowl. Discov. 33(1): 58-95 (2019) - [c7]Thanh-Nam Doan, Shaghayegh Sahebi:
Rank-Based Tensor Factorization for Student Performance Prediction. EDM 2019 - [c6]Thanh-Nam Doan, Shaghayegh Sahebi:
Review-Based Cross-Domain Collaborative Filtering: A Neural Framework. ComplexRec@RecSys 2019: 23-28 - 2018
- [c5]Thanh-Nam Doan, Ee-Peng Lim
PACELA: A Neural Framework for User Visitation in Location-based Social Networks. UMAP 2018: 13-21 - 2017
- [c4]Thanh-Nam Doan, Ee-Peng Lim
Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues. ADMA 2017: 429-444 - 2016
- [c3]Thanh-Nam Doan, Ee-Peng Lim
Attractiveness versus Competition: Towards an Unified Model for User Visitation. CIKM 2016: 2149-2154 - 2015
- [c2]Thanh-Nam Doan, Freddy Chong Tat Chua, Ee-Peng Lim
Mining Business Competitiveness from User Visitation Data. SBP 2015: 283-289 - [c1]Thanh-Nam Doan, Freddy Chong Tat Chua, Ee-Peng Lim
On Neighborhood Effects in Location-Based Social Networks. WI-IAT (1) 2015: 477-484
Coauthor Index
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