🧑‍🔬 Xing Niu

🏛️ Affiliations

🎓China Medical UniversityShenyang · China2016–2026 · 41 papersEducationEmploymentcurrent🏢AmazonSeattle · United States2020–2026 · 14 paperscurrent🏥Sheng Jing HospitalShenyang · China2019–2023 · 17 papers🎓University of Maryland, College ParkCollege Park · United States2016–2020 · 14 papers🎓Xiamen UniversityXiamen · China2020–2025 · 6 papers🔬Idiap Research InstituteMartigny-Combe · Switzerland2023 · 2 papers🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2023 · 2 papers

🏛️School of Medicine, Xiamen UniversityXiamen · ChinaEducationEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. SpeechVerse: A Large-scale Generalizable Audio Language Model (2024 · 30 citations)
   Most LLM-based audio models handle only a few fine-tuned tasks, such as ASR or translation. Cascaded ASR-then-LLM pipelines also lose paralinguistic cues like tone or emotion. SpeechVerse, from AWS AI Labs, addresses both problems by connecting a frozen self-supervised speech encoder to a frozen text LLM (FlanT5).…
2. Benchmarking Query-Conditioned Natural Language Inference (2025 · 1 citation)
   Classic NLI asks whether an entire premise supports an entire hypothesis. That is too blunt for long documents, which often agree on some points and clash on others. The authors propose Query-Conditioned NLI (QC-NLI), where the relation between two documents is judged only with respect to a question that selects the…

All works

11 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetXing Niu, Marianna Martindale, Marine Carpuat2017 · 103 citations
2. Bi-Directional Neural Machine Translation with Synthetic Parallel Data ↗Proceedings of the 2nd Workshop on Neural Machine Translation and Generation · no summary yetXing Niu, Michael Denkowski, Marine Carpuat2018 · 94 citations
3. Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation ↗Proceedings of the First Workshop on Neural Machine Translation · no summary yetMarine Carpuat, Yogarshi Vyas, Xing Niu2017 · 89 citations
4. Evaluating Robustness to Input Perturbations for Neural Machine Translation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetXing Niu et al.2020 · 75 citations
5. MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetAnna Currey et al.2022 · 65 citations
6. Controlling Neural Machine Translation Formality with Synthetic Supervision ↗arXiv:1911.08706 · no summary yetXing Niu, Marine Carpuat2019 · 52 citations
7. CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality ↗Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yetMaria Nadejde et al.2022 · 47 citations
8. SpeechVerse: A Large-scale Generalizable Audio Language ModelarXiv:2405.08295Nilaksh Das, Saket Dingliwal, Srikanth Ronanki, et al.2024 · 30 citations
9. Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases ↗Proceedings of the Workshop on Stylistic Variation · no summary yetXing Niu, Marine Carpuat2017 · 15 citations
10. M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) · no summary yetBenjamin Hsu et al.2024 · 8 citations
11. Benchmarking Query-Conditioned Natural Language InferenceFindings of the Association for Computational LinguisticsMarc E. Canby, Xinchi Chen, Xing Niu, et al.2025 · 1 citation

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Bonan Min
• Dhanush Bekal
• Jifan Chen
• Prashant Mathur
• Xinchi Chen

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Conference on Spoken Language Translation (IWSLT) ×2
• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2025
• Findings of the Association for Computational Linguistics: NAACL 2022
• Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
• Proceedings of the 2nd Workshop on Neural Machine Translation and Generation
• Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
• Proceedings of the First Workshop on Neural Machine Translation
• Proceedings of the Workshop on Stylistic Variation

🔗 Cited by

Papers of our library cite their works 458 times (of the 149,439 papers whose bibliographies we read); 43 citing papers with a page here →.

Updated 30 October 2026

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