--- title: "Shihao Zou — author profile and papers · Question answering" description: "Shihao Zou, Huazhong University of Science and Technology: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/shihao-zou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shihao-zou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shihao Zou # Shihao Zou Shihao Zou has 2 papers in our library, in 2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Wei Wei](https://md.research.elamur.ai/free/en/authors/wei-wei/), [Yongshuo Zhang](https://md.research.elamur.ai/free/en/authors/yongshuo-zhang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139786784) · [**h-index 1**](https://openalex.org/authors/A5139786784) · [3 works](https://openalex.org/works?filter=author.id:A5139786784) · [2 citations](https://openalex.org/works?filter=author.id:A5139786784&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shihao-zou/#papers) · [⭐ Paper Stars ranking: #13129](https://md.research.elamur.ai/free/en/paper-stars/page/132/#star-13129) 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=Shihao+Zou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shihao+Zou) · [dblp](https://dblp.org/search?q=Shihao+Zou) · [ACL Anthology](https://aclanthology.org/search/?q=Shihao+Zou) ## Affiliations [🎓**Huazhong University of Science and Technology** Wuhan · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [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/shihao-zou/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[DEAR: Distributional Error-Aware Reliability for Robust Multimodal Sentiment Analysis with Missing Modalities](https://md.research.elamur.ai/free/en/papers/zou-2026-dear-distributional-error-aware-reliability/)** *(2026 · 1 citation)* Multimodal sentiment analysis (MSA) systems are usually trained on complete text, audio and video, but in deployment some modalities are often partly or fully absent, and accuracy drops sharply. 2. **[SMART: Semantic Header Flattening and Pseudo-Code-Style Reasoning for LLM-based Complex Table Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-smart-semantic-header-flattening-pseudo/)** *(2026)* Real-world tables often have multi-level, merged headers built for human readers. LLMs struggle to link conditions, attributes and values in such tables. Earlier methods encode the hierarchy as tuples, HTML or cell graphs, which leaves the model to infer header relations on its own. They also rely on CoT… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Wei Wei](https://md.research.elamur.ai/free/en/authors/wei-wei/) ×2 - [Yongshuo Zhang](https://md.research.elamur.ai/free/en/authors/yongshuo-zhang/) ×2 ## 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](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 Updated 2 November 2026