🧑‍🔬 Zhiying Jiang

🏛️ Affiliations

🎓Beijing University of Chemical TechnologyBeijing · China2017–2026 · 11 papersEmploymentcurrent🎓University of WaterlooWaterloo · Canada2020–2023 · 13 papers🏛️Ministry of Education of the People's Republic of ChinaBeijing · China2017–2021 · 5 papers🎓Rensselaer Polytechnic InstituteTroy · United States2018–2019 · 3 papers🎓Dalian Maritime UniversityDalian · China2025 · 2 papers🎓Singapore University of Social SciencesSingapore · Singapore2020–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. Document Ranking with a Pretrained Sequence-to-Sequence Model (2020 · 543 citations)
   The paper asks whether an encoder–decoder model can rank documents better than the usual approach, where an encoder-only model such as BERT is fine-tuned as a relevance classifier.
2. Investigating the Limitations of Transformers with Simple Arithmetic Tasks (2021 · 96 citations)
   Sequence-to-sequence transformers often fail at basic arithmetic. This study asks how much of that failure comes from the way numbers are written in the input. The authors generate synthetic addition and subtraction questions phrased in English and fine-tune pretrained T5 models of several sizes, plus non-pretrained…

All works

7 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. Document Ranking with a Pretrained Sequence-to-Sequence ModelFindings of the Association for Computational LinguisticsRodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, et al.2020 · 543 citations
2. What the DAAM: Interpreting Stable Diffusion Using Cross Attention ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRaphael Tang et al.2023 · 137 citations
3. Investigating the Limitations of Transformers with Simple Arithmetic TasksarXiv:2102.13019Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin2021 · 96 citations
4. “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetZhiying Jiang et al.2023 · 89 citations
5. PaperRobot: Incremental Draft Generation of Scientific Ideas ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetQingyun Wang et al.2019 · 75 citations
6. Navigation-based candidate expansion and pretrained language models for citation recommendation ↗Scientometrics · no summary yetRodrigo Frassetto Nogueira et al.2020 · 20 citations
7. Evaluating pretrained transformer models for citation recommendation ↗no summary yetRodrigo Frassetto Nogueira et al.2020 · 7 citations

🤝 Co-authors here

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

• Jimmy Lin ×2
• Rodrigo Nogueira ×2
• Ronak Pradeep

Venues

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

• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2020
• Findings of the Association for Computational Linguistics: ACL 2023
• Scientometrics

🔗 Cited by

Papers of our library cite their works 235 times (of the 149,439 papers whose bibliographies we read); 45 citing papers with a page here →.

Updated 2 November 2026

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