--- title: "Haohan Wang — author profile and papers · Reasoning" description: "Haohan Wang, University of Illinois Urbana-Champaign: 2 papers on Elamur Research (2019–2022), h-index 23 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/haohan-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haohan-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haohan Wang # Haohan Wang Haohan Wang has 2 papers in our library, in 2019–2022, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/), [He He](https://md.research.elamur.ai/free/en/authors/he-he/), [Sheng Zha](https://md.research.elamur.ai/free/en/authors/sheng-zha/). 2 papers in our library · 2019–2022 [OpenAlex](https://openalex.org/A5101892837) · [ORCID](https://orcid.org/0000-0002-1826-4069) · [**h-index 23**](https://openalex.org/authors/A5101892837) · [160 works](https://openalex.org/works?filter=author.id:A5101892837) · [2,130 citations](https://openalex.org/works?filter=author.id:A5101892837&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haohan-wang/#papers) · [🔗 Cited 161 times in our library](https://md.research.elamur.ai/free/en/authors/haohan-wang/cited-by/) · [⭐ Paper Stars ranking: #3738](https://md.research.elamur.ai/free/en/paper-stars/page/38/#star-3738) 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=Haohan+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haohan+Wang) · [dblp](https://dblp.org/search?q=Haohan+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Haohan+Wang) ## Affiliations [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2022–2026 · 51 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**China Three Gorges University** Yichang · China 2026 · 1 paper*current*](https://ror.org/0419nfc77) · [🔬**State Key Laboratory of Materials Processing and Die & Mould Technology** Wuhan · China 2026 · 1 paper*current*](https://ror.org/059ymf107) · [🏥**Yichang Central People's Hospital** Yichang · China 2026 · 1 paper*current*](https://ror.org/04cr34a11) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2013–2022 · 45 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Ningbo University** Ningbo · China 2005–2025 · 17 papers](https://ror.org/03et85d35) · [🎓**Sichuan Agricultural University** Ya'an · China 2013–2016 · 6 papers](https://ror.org/0388c3403) · [🎓**Chengdu University of Traditional Chinese Medicine** Chengdu · China 2024–2025 · 5 papers](https://ror.org/00pcrz470) · [🎓**Ningbo University of Finance & Economics** Ningbo · China 2025 · 3 papers](https://ror.org/0085x3f43) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2022** 1 paper Measure and Improve Robustness in NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/) ### 2010s [**2019** 1 paper Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual](https://md.research.elamur.ai/free/en/papers/he-2019-unlearn-dataset-bias-natural-language/) ## Papers The most cited first (OpenAlex and our library). 1. **[Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual](https://md.research.elamur.ai/free/en/papers/he-2019-unlearn-dataset-bias-natural-language/)** *(2019 · 254 citations)* NLI models trained on crowdsourced corpora often latch onto shallow cues that correlate with labels only in the training data. 2. **[Measure and Improve Robustness in NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/)** *(2022 · 148 citations)* NLP systems built on large pre-trained language models score well on benchmarks but still fail on out-of-domain text, adversarial inputs and small input perturbations. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/) - [He He](https://md.research.elamur.ai/free/en/authors/he-he/) - [Sheng Zha](https://md.research.elamur.ai/free/en/authors/sheng-zha/) - [Xuezhi Wang](https://md.research.elamur.ai/free/en/authors/xuezhi-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2022](https://md.research.elamur.ai/free/en/venues/naacl/2022/) - [Workshop on Deep Learning Approaches for Low-Resource NLP](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/): [Workshop on Deep Learning Approaches for Low-Resource NLP 2019](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2019/) ## Cited by Papers of our library cite their works 161 times (of the 141,840 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haohan-wang/cited-by/). Updated 24 October 2026