| 2023 | EACL | Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation. | Long Phan, Tai Dang, Hieu Tran, Trieu H. Trinh, Vy Phan, Lam D. Chau, Minh-Thang Luong |
| 2021 | EMNLP | Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference. | Sneha Kudugunta, Yanping Huang, Ankur Bapna, Maxim Krikun, Dmitry Lepikhin, Minh-Thang Luong, Orhan Firat |
| 2021 | EMNLP | STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. | Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer |
| 2020 | CVPR | Self-Training With Noisy Student Improves ImageNet Classification. | Qizhe Xie, Minh-Thang Luong, Eduard H. Hovy, Quoc V. Le |
| 2020 | EMNLP | Pre-Training Transformers as Energy-Based Cloze Models. | Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning |
| 2020 | ICLR | ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. | Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning |
| 2019 | ACL | BAM! Born-Again Multi-Task Networks for Natural Language Understanding. | Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le |
| 2019 | EMNLP | Findings of the Third Workshop on Neural Generation and Translation. | Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh |
| 2018 | EMNLP | Semi-Supervised Sequence Modeling with Cross-View Training. | Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le |
| 2018 | ICLR | Learning Longer-term Dependencies in RNNs with Auxiliary Losses. | Trieu H. Trinh, Andrew M. Dai, Minh-Thang Luong, Quoc V. Le |
| 2018 | ICLR | QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. | Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le |
| 2017 | EMNLP | Efficient Attention using a Fixed-Size Memory Representation. | Denny Britz, Melody Y. Guan, Minh-Thang Luong |
| 2017 | ICML | Online and Linear-Time Attention by Enforcing Monotonic Alignments. | Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck |
| 2016 | ACL | Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. | Minh-Thang Luong, Christopher D. Manning |
| 2016 | ACL | Models and Inference for Prefix-Constrained Machine Translation. | Joern Wuebker, Spence Green, John DeNero, Sasa Hasan, Minh-Thang Luong |
| 2016 | CoNLL | Compression of Neural Machine Translation Models via Pruning. | Abigail See, Minh-Thang Luong, Christopher D. Manning |
| 2015 | ACL | A Hierarchical Neural Autoencoder for Paragraphs and Documents. | Jiwei Li, Minh-Thang Luong, Dan Jurafsky |
| 2011 | ASRU | A Trajectory-based Parallel Model Combination with a unified static and dynamic parameter compensation for noisy speech recognition. | Khe Chai Sim, Minh-Thang Luong |
| 2010 | COLING | Enhancing Morphological Alignment for Translating Highly Inflected Languages. | Minh-Thang Luong, Min-Yen Kan |
| 2010 | EMNLP | A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. | Minh-Thang Luong, Preslav Nakov, Min-Yen Kan |