| 2026 | ECIR | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 2026 | SAC | More Bias, Less Bias: BiasPrompting for Enhanced Multiple-Choice Question Answering. | Duc Anh Vu, Thong Nguyen, Cong-Duy Nguyen, Viet Anh Nguyen, Anh Tuan Luu |
| 2026 | SIGIR | Sparton: Fast and Memory-Efficient Triton Kernel for Learned Sparse Retrieval. | Thong Nguyen, Cosimo Rulli, Franco Maria Nardini, Rossano Venturini, Andrew Yates |
| 2026 | SIGIR | Better than Dense? Investigating the Natural Backward Compatibility of Learned Sparse Representations. | Jingfen Qiao, Gabrielle Poerwawinata, Thong Nguyen, Jia-Huei Ju, Eugene Yang, Evangelos Kanoulas, Andrew Yates |
| 2025 | EMNLP | SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models. | Thong Nguyen, Yibin Lei, Jia-Huei Ju, Andrew Yates |
| 2025 | SAC | Curriculum Demonstration Selection for In-Context Learning. | Duc Anh Vu, Cong-Duy Nguyen, Xiaobao Wu, Nhat M. Hoang, Mingzhe Du, Thong Nguyen, Anh Tuan Luu |
| 2025 | SIGIR | Effective Inference-Free Retrieval for Learned Sparse Representations. | Franco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates |
| 2025 | SIGIR | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 2024 | AAAI | READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. | Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2024 | AAAI | On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling. | Xiaobao Wu, Fengjun Pan, Thong Nguyen, Yichao Feng, Chaoqun Liu, Cong-Duy Nguyen, Anh Tuan Luu |
| 2024 | ACL | Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. | Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2024 | ACL | Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. | Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu |
| 2024 | ECCV | Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. | Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan |
| 2024 | ECIR | Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. | Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke |
| 2024 | EMNLP | DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities. | Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates |
| 2024 | EMNLP | Encoding and Controlling Global Semantics for Long-form Video Question Answering. | Thong Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2024 | NAACL | KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning. | Cong-Duy Nguyen, Thong Nguyen, Xiaobao Wu, Anh Tuan Luu |
| 2023 | AAAI | InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. | Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu |
| 2023 | ACL | Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. | Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu |
| 2023 | ECIR | A Unified Framework for Learned Sparse Retrieval. | Thong Nguyen, Sean MacAvaney, Andrew Yates |
| 2023 | EMNLP | Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation. | Cong-Duy Nguyen, Thong Nguyen, Duc Anh Vu, Anh Tuan Luu |
| 2023 | EMNLP | DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. | Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2023 | SIGIR | Adapting Learned Sparse Retrieval for Long Documents. | Thong Nguyen, Sean MacAvaney, Andrew Yates |
| 2022 | ACL | Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires. | Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan |
| 2022 | EMNLP | Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. | Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Zhen Hai, Lidong Bing |
| 2021 | EMNLP | Enriching and Controlling Global Semantics for Text Summarization. | Thong Nguyen, Anh Tuan Luu, Truc Lu, Tho Quan |
| 2021 | SIGIR | DiffIR: Exploring Differences in Ranking Models' Behavior. | Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates |
| 2020 | ICCCI | Automatic Container Code Recognition Using MultiDeep Pipeline. | Duy Nguyen, Duc Nguyen, Thong Nguyen, Khoi Ngo, Hung Cao, Thinh Vuong, Tho Quan |
| 2010 | APSEC | Quantitative Analysis for Non-linear System Performance Data Using Case-Based Reasoning. | Jacky W. Keung, Thong Nguyen |
| 1997 | KES | A multi-agent architecture for situation awareness. | Thong Nguyen |