| 2022 | AAAI | From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables. | Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu |
| 2022 | COLING | Dynamic Position Encoding for Transformers. | Joyce Zheng, Mehdi Rezagholizadeh, Peyman Passban |
| 2022 | NAACL | Training Mixed-Domain Translation Models via Federated Learning. | Peyman Passban, Tanya G. Roosta, Rahul Gupta, Ankit Chadha, Clement Chung |
| 2021 | AAAI | ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. | Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu |
| 2021 | ACL | Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. | Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi |
| 2021 | EMNLP | Revisiting Robust Neural Machine Translation: A Transformer Case Study. | Peyman Passban, Puneeth S. M. Saladi, Qun Liu |
| 2020 | EMNLP | Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. | Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu |
| 2018 | COLING | Tailoring Neural Architectures for Translating from Morphologically Rich Languages. | Peyman Passban, Andy Way, Qun Liu |
| 2018 | EAMT | Investigating Backtranslation in Neural Machine Translation. | Alberto Poncelas, Dimitar Shterionov, Andy Way, Gideon Maillette de Buy Wenniger, Peyman Passban |
| 2018 | NAACL | Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation. | Peyman Passban, Qun Liu, Andy Way |
| 2016 | COLING | Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings. | Peyman Passban, Qun Liu, Andy Way |
| 2016 | EAMT | Improving Phrase-Based SMT Using Cross-Granularity Embedding Similarity. | Peyman Passban, Chris Hokamp, Andy Way, Qun Liu |
| 2015 | EAMT | Benchmarking SMT Performance for Farsi Using the TEP++ Corpus. | Peyman Passban, Andy Way, Qun Liu |