--- title: "Chengyue Gong — author profile and papers in our library" description: "Chengyue Gong, The University of Texas at Austin: 2 papers on Elamur Research (2022–2023), h-index 21 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/chengyue-gong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chengyue-gong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chengyue Gong # Chengyue Gong Chengyue Gong has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Xingchao Liu](https://md.research.elamur.ai/free/en/authors/xingchao-liu/), [Qiang Liu](https://md.research.elamur.ai/free/en/authors/qiang-liu/), [Shujian Zhang](https://md.research.elamur.ai/free/en/authors/shujian-zhang/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5011339261) · [ORCID](https://orcid.org/0009-0000-9282-7248) · [**h-index 21**](https://openalex.org/authors/A5011339261) · [61 works](https://openalex.org/works?filter=author.id:A5011339261) · [1,562 citations](https://openalex.org/works?filter=author.id:A5011339261&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chengyue-gong/#papers) · [🔗 Cited 362 times in our library](https://md.research.elamur.ai/free/en/authors/chengyue-gong/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4532](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4532) 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=Chengyue+Gong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chengyue+Gong) · [dblp](https://dblp.org/search?q=Chengyue+Gong) · [ACL Anthology](https://aclanthology.org/search/?q=Chengyue+Gong) ## Affiliations [🎓**The University of Texas at Austin** Austin · United States 2019–2026 · 40 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**Peking University** Beijing · China 2017–2019 · 5 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) 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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Physics and Astronomy · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Statistical and Nonlinear Physics · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/statistical-and-nonlinear-physics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chengyue-gong/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/chengyue-gong/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow](https://md.research.elamur.ai/free/en/papers/liu-2022-flow-straight-fast-learning-generate/)** *(2022 · 315 citations)* Many learning tasks reduce to finding a map that carries one distribution onto another: generating images from noise, translating between image domains, or adapting a model to shifted test data. 2. **[AutoML-GPT: Automatic Machine Learning with GPT](https://md.research.elamur.ai/free/en/papers/zhang-2023-automl-gpt-automatic-machine-learning/)** *(2023 · 52 citations)* Selecting a model architecture, optimizer and hyperparameters for a new task still takes considerable manual effort. ## All works 6 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. [**Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow arXiv:2209.03003**Xingchao Liu, Chengyue Gong, Qiang Liu*2022 · 315 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-flow-straight-fast-learning-generate/) 2. **[SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions ↗](https://aclanthology.org/2020.acl-main.317/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Mao Ye, Chengyue Gong, Qiang Liu*2020 · 124 citations* 3. **[Knowing More About Questions Can Help: Improving Calibration in Question Answering ↗](https://aclanthology.org/2021.findings-acl.172/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Shujian Zhang, Chengyue Gong, Eunsol Choi*2021 · 57 citations* 4. [**AutoML-GPT: Automatic Machine Learning with GPT arXiv:2305.02499**Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.*2023 · 52 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-automl-gpt-automatic-machine-learning/) 5. **[Learning with Different Amounts of Annotation: From Zero to Many Labels ↗](https://aclanthology.org/2021.emnlp-main.601/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shujian Zhang, Chengyue Gong, Eunsol Choi*2021 · 45 citations* 6. **[Capturing Label Distribution: A Case Study in NLI ↗](https://arxiv.org/abs/2102.06859) arXiv (Cornell University) · no summary yet**Shujian Zhang, Chengyue Gong, Eunsol Choi*2021 · 9 citations* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Xingchao Liu](https://md.research.elamur.ai/free/en/authors/xingchao-liu/) ×2 - [Qiang Liu](https://md.research.elamur.ai/free/en/authors/qiang-liu/) - [Shujian Zhang](https://md.research.elamur.ai/free/en/authors/shujian-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 - Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing - Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ## Cited by Papers of our library cite their works 362 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chengyue-gong/cited-by/). Updated 31 October 2026