--- title: "Xing Niu — author profile and papers — Elamur Research" description: "Xing Niu, Amazon: 2 papers on Elamur Research (2024–2025), h-index 31 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xing-niu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xing-niu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xing Niu # Xing Niu Xing Niu has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bonan Min](https://md.research.elamur.ai/free/en/authors/bonan-min/), [Dhanush Bekal](https://md.research.elamur.ai/free/en/authors/dhanush-bekal/), [Jifan Chen](https://md.research.elamur.ai/free/en/authors/jifan-chen/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5069475690) · [ORCID](https://orcid.org/0000-0001-8834-792X) · [Wikidata](https://www.wikidata.org/wiki/Q90152015) · [**h-index 31**](https://openalex.org/authors/A5069475690) · [82 works](https://openalex.org/works?filter=author.id:A5069475690) · [2,676 citations](https://openalex.org/works?filter=author.id:A5069475690&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xing-niu/#papers) · [🔗 Cited 458 times in our library](https://md.research.elamur.ai/free/en/authors/xing-niu/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9646](https://md.research.elamur.ai/free/en/paper-stars/page/97/#star-9646) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Xing+Niu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xing+Niu) · [dblp](https://dblp.org/search?q=Xing+Niu) · [ACL Anthology](https://aclanthology.org/search/?q=Xing+Niu) ## Affiliations [🎓**China Medical University** Shenyang · China 2016–2026 · 41 papersEducationEmployment*current*](https://ror.org/032d4f246) · [🏢**Amazon** Seattle · United States 2020–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/) · [🏥**Sheng Jing Hospital** Shenyang · China 2019–2023 · 17 papers](https://ror.org/0202bj006) · [🎓**University of Maryland, College Park** College Park · United States 2016–2020 · 14 papers](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🎓**Xiamen University** Xiamen · China 2020–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · [🔬**Idiap Research Institute** Martigny-Combe · Switzerland 2023 · 2 papers](https://md.research.elamur.ai/free/en/labs/idiap-research-institute/) · [🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/) 🏛️**School of Medicine, Xiamen University** Xiamen · [China](https://md.research.elamur.ai/free/en/countries/china/) EducationEmployment 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. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xing-niu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xing-niu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[SpeechVerse: A Large-scale Generalizable Audio Language Model](https://md.research.elamur.ai/free/en/papers/das-2024-speechverse-large-scale-generalizable-audio/)** *(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](https://md.research.elamur.ai/free/en/papers/canby-2025-benchmarking-query-conditioned-natural-language/)** *(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 ↗](https://aclanthology.org/D17-1299/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xing Niu, Marianna Martindale, Marine Carpuat*2017 · 103 citations* 2. **[Bi-Directional Neural Machine Translation with Synthetic Parallel Data ↗](https://aclanthology.org/W18-2710/) Proceedings of the 2nd Workshop on Neural Machine Translation and Generation · no summary yet**Xing Niu, Michael Denkowski, Marine Carpuat*2018 · 94 citations* 3. **[Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation ↗](https://aclanthology.org/W17-3209/) Proceedings of the First Workshop on Neural Machine Translation · no summary yet**Marine Carpuat, Yogarshi Vyas, Xing Niu*2017 · 89 citations* 4. **[Evaluating Robustness to Input Perturbations for Neural Machine Translation ↗](https://aclanthology.org/2020.acl-main.755/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Xing Niu et al.*2020 · 75 citations* 5. **[MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation ↗](https://aclanthology.org/2022.emnlp-main.288/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Anna Currey et al.*2022 · 65 citations* 6. **[Controlling Neural Machine Translation Formality with Synthetic Supervision ↗](https://arxiv.org/abs/1911.08706) arXiv:1911.08706 · no summary yet**Xing Niu, Marine Carpuat*2019 · 52 citations* 7. **[CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality ↗](https://aclanthology.org/2022.findings-naacl.47/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**Maria Nadejde et al.*2022 · 47 citations* 8. [**SpeechVerse: A Large-scale Generalizable Audio Language Model arXiv:2405.08295**Nilaksh Das, Saket Dingliwal, Srikanth Ronanki, et al.*2024 · 30 citations*](https://md.research.elamur.ai/free/en/papers/das-2024-speechverse-large-scale-generalizable-audio/) 9. **[Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases ↗](https://aclanthology.org/W17-4903/) Proceedings of the Workshop on Stylistic Variation · no summary yet**Xing Niu, Marine Carpuat*2017 · 15 citations* 10. **[M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation ↗](https://aclanthology.org/2024.naacl-short.41/) 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 yet**Benjamin Hsu et al.*2024 · 8 citations* 11. **[Benchmarking Query-Conditioned Natural Language Inference](https://md.research.elamur.ai/free/en/papers/canby-2025-benchmarking-query-conditioned-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Marc 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](https://md.research.elamur.ai/free/en/authors/bonan-min/) - [Dhanush Bekal](https://md.research.elamur.ai/free/en/authors/dhanush-bekal/) - [Jifan Chen](https://md.research.elamur.ai/free/en/authors/jifan-chen/) - [Prashant Mathur](https://md.research.elamur.ai/free/en/authors/prashant-mathur/) - [Xinchi Chen](https://md.research.elamur.ai/free/en/authors/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)](https://md.research.elamur.ai/free/en/venues/iwslt/) ×2 - Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2025](https://md.research.elamur.ai/free/en/venues/findings/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 →](https://md.research.elamur.ai/free/en/authors/xing-niu/cited-by/). Updated 30 October 2026