--- title: "Haoyu Dong — author profile and papers — Elamur Research" description: "Haoyu Dong, Microsoft: 4 papers on Elamur Research (2021–2026), h-index 12 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/haoyu-dong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haoyu-dong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haoyu Dong # Haoyu Dong Haoyu Dong has 4 papers in our library, in 2021–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Dongmei Zhang](https://md.research.elamur.ai/free/en/authors/dongmei-zhang/), [Shi Han](https://md.research.elamur.ai/free/en/authors/shi-han/), [Mengyu Zhou](https://md.research.elamur.ai/free/en/authors/mengyu-zhou/). 4 papers in our library · 2021–2026 [OpenAlex](https://openalex.org/A5102019411) · [ORCID](https://orcid.org/0009-0006-9789-7564) · [**h-index 12**](https://openalex.org/authors/A5102019411) · [46 works](https://openalex.org/works?filter=author.id:A5102019411) · [379 citations](https://openalex.org/works?filter=author.id:A5102019411&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/haoyu-dong/#papers) · [🔗 Cited 125 times in our library](https://md.research.elamur.ai/free/en/authors/haoyu-dong/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7590](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7590) 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=Haoyu+Dong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haoyu+Dong) · [dblp](https://dblp.org/search?q=Haoyu+Dong) · [ACL Anthology](https://aclanthology.org/search/?q=Haoyu+Dong) ## Affiliations [🏢**Microsoft** Redmond · United States 2019–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2024–2026 · 2 papersEmployment since 2024*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🏢**Microsoft Research Asia** Beijing · China 2020–2023 · 10 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**Duke University** Durham · United States 2021–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/duke-university/) · [🎓**Northwest University** Xi'an · China 2022–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/northwest-university/) · [🔬**State Key Laboratory of Continental Dynamics** Xi'an 2022–2024 · 4 papers](https://ror.org/01t2m0x06) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Literature and Literary Theory · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) 🧭 Topics 6 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/haoyu-dong/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/haoyu-dong/year/2025/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/haoyu-dong/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation](https://md.research.elamur.ai/free/en/papers/cheng-2021-hitab-hierarchical-table-dataset-question/)** *(2021 · 108 citations)* Most table reasoning research assumes flat tables. Real statistical and scientific tables, however, often have multi-level headers, unmarked totals and proportions, and implicit links between entities. HiTab is a cross-domain English benchmark built to test question answering (QA) and table-to-text generation (NLG)… 2. **[TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2025-tablelora-low-rank-adaptation-table/)** *(2025 · 8 citations)* Large language models often misread tables when tuned with parameter-efficient methods such as LoRA. Flattening a grid into a token sequence hides which cells share a row or column, and nested headers become hard to interpret. TableLoRA is a PEFT-compatible module that addresses these problems with two components: 3. **[LitVISTA: A Benchmark for Narrative Orchestration in Literary Text](https://md.research.elamur.ai/free/en/papers/lu-2026-litvista-benchmark-narrative-orchestration-literary/)** *(2026 · 1 citation)* Large language models can produce long stories that hold together causally, yet their plots tend to be flatter than human ones, with simpler arcs and turning points that arrive too early. 4. **[Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-not-all-tokens-matter-efficient/)** *(2026 · 1 citation)* Reasoning LLMs often generate chains of thought much longer than they need to be. Earlier RL methods for shortening them apply length penalties uniformly across tokens, which can hurt answer correctness. This paper treats the problem at the token level. It notes that a large share of CoT tokens barely influence the… ## All works 6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation arXiv:2108.06712**Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, et al.*2021 · 108 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2021-hitab-hierarchical-table-dataset-question/) 2. **[HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation ↗](https://aclanthology.org/2022.acl-long.78/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhoujun Cheng et al.*2022 · 61 citations* 3. **[FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining ↗](https://aclanthology.org/2022.acl-long.82/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhoujun Cheng et al.*2022 · 36 citations* 4. **[TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2025-tablelora-low-rank-adaptation-table/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyi He, Yihao Liu, Mengyu Zhou, et al.*2025 · 8 citations* 5. **[LitVISTA: A Benchmark for Narrative Orchestration in Literary Text](https://md.research.elamur.ai/free/en/papers/lu-2026-litvista-benchmark-narrative-orchestration-literary/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingzhe Lu, Yiwen Wang, Yanbing Liu, et al.*2026 · 1 citation* 6. **[Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-not-all-tokens-matter-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanbing Liu, Lang Cao, Yuanyi Ren, et al.*2026 · 1 citation* ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Dongmei Zhang](https://md.research.elamur.ai/free/en/authors/dongmei-zhang/) ×3 - [Shi Han](https://md.research.elamur.ai/free/en/authors/shi-han/) ×3 - [Mengyu Zhou](https://md.research.elamur.ai/free/en/authors/mengyu-zhou/) ×2 - [Chong Liu](https://md.research.elamur.ai/free/en/authors/chong-liu/) - [Hanbing Liu](https://md.research.elamur.ai/free/en/authors/hanbing-liu/) - [Jian-Guang Lou](https://md.research.elamur.ai/free/en/authors/jian-guang-lou/) - [Jiaqi Guo](https://md.research.elamur.ai/free/en/authors/jiaqi-guo/) - [JiaRui Zhang](https://md.research.elamur.ai/free/en/authors/jiarui-zhang/) - [Lang Cao](https://md.research.elamur.ai/free/en/authors/lang-cao/) - [Ran Jia](https://md.research.elamur.ai/free/en/authors/ran-jia/) - [Wenyu Zhang](https://md.research.elamur.ai/free/en/authors/wenyu-zhang/) - [Xinyi He](https://md.research.elamur.ai/free/en/authors/xinyi-he/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 125 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haoyu-dong/cited-by/). Updated 2 November 2026