--- title: "Shengyu Zhang — author profile and papers — Elamur Research" description: "Shengyu Zhang, Shanghai Advanced Research Institute: 6 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/shengyu-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shengyu-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shengyu Zhang # Shengyu Zhang Shengyu Zhang has 6 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Fei Qing Wu](https://md.research.elamur.ai/free/en/authors/fei-qing-wu/), [Guoyin Wang](https://md.research.elamur.ai/free/en/authors/guoyin-wang/), [Jiwei Li](https://md.research.elamur.ai/free/en/authors/jiwei-li/). 6 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139851944) · [**h-index 0**](https://openalex.org/authors/A5139851944) · [3 works](https://openalex.org/works?filter=author.id:A5139851944) · [0 citations](https://openalex.org/works?filter=author.id:A5139851944&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/shengyu-zhang/#papers) · [🔗 Cited 359 times in our library](https://md.research.elamur.ai/free/en/authors/shengyu-zhang/cited-by/) · [⭐ Paper Stars ranking: #4003](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4003) 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=Shengyu+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shengyu+Zhang) · [dblp](https://dblp.org/search?q=Shengyu+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Shengyu+Zhang) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🔬**Shanghai Advanced Research Institute** Pudong · China 2026 · 1 paper*current*](https://ror.org/02br7py06) 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 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Human-Computer Interaction · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) 🧭 Topics 6 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [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/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/shengyu-zhang/year/2026/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/shengyu-zhang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Instruction Tuning for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhang-2023-instruction-tuning-large-language-models/)** *(2023 · 520 citations)* This survey maps the research on instruction tuning (IT), which the authors treat as the same thing as supervised fine-tuning (SFT). 2. **[Sentiment Analysis through LLM Negotiations](https://md.research.elamur.ai/free/en/papers/sun-2023-sentiment-analysis-through-llm-negotiations/)** *(2023 · 25 citations)* Large language models are typically applied to sentiment classification through a single in-context learning (ICL) prompt answered in one pass. 3. **[InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection](https://md.research.elamur.ai/free/en/papers/liu-2026-infiguiagent-multimodal-generalist-gui-agent/)** *(2026 · 10 citations)* Multimodal-LLM GUI agents often fail to connect an instruction to the right on-screen element or tap location. 4. **[DAC-Bench: A Decision-Aware Benchmark for Compositional Mobile GUI Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2026-dac-bench-decision-aware-benchmark/)** *(2026)* Most mobile GUI benchmarks test short, linear instruction chains and report step-level or overall success. They say little about how LMM-based agents handle long tasks where the next action depends on what appears on screen. DAC-Bench addresses this with compositional tasks built in four steps: 5. **[Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding](https://md.research.elamur.ai/free/en/papers/wang-2026-measure-twice-click-once-co/)** *(2026)* GUI grounding means turning a natural-language instruction into exact click coordinates on a screenshot. MLLMs find it hard on high-resolution, crowded interfaces: they often understand the request but miss the precise pixel location. Drawing several samples raises Pass@k. However, clustering-style self-consistency… 6. **[RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction](https://md.research.elamur.ai/free/en/papers/liu-2026-retentivekv-state-space-memory-uncertainty/)** *(2026)* Multimodal LLMs that process long or high-resolution visual inputs accumulate a very large KV cache. Most compression methods evict tokens on the assumption that tokens with low attention now will stay unimportant. The authors argue this assumption fails for images in two ways. Some visual tokens look irrelevant… ## Co-authors here 12 of 18 co-authors with a page, the most papers together first. - [Fei Qing Wu](https://md.research.elamur.ai/free/en/authors/fei-qing-wu/) ×4 - [Guoyin Wang](https://md.research.elamur.ai/free/en/authors/guoyin-wang/) ×2 - [Jiwei Li](https://md.research.elamur.ai/free/en/authors/jiwei-li/) ×2 - [Shuhe Wang](https://md.research.elamur.ai/free/en/authors/shuhe-wang/) ×2 - [Tianwei Zhang](https://md.research.elamur.ai/free/en/authors/tianwei-zhang/) ×2 - [Xiaofei Sun](https://md.research.elamur.ai/free/en/authors/xiaofei-sun/) ×2 - [Xiaoya Li](https://md.research.elamur.ai/free/en/authors/xiaoya-li/) ×2 - [Xueyu Hu](https://md.research.elamur.ai/free/en/authors/xueyu-hu/) ×2 - [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/) - [Haitao Mi](https://md.research.elamur.ai/free/en/authors/haitao-mi/) - [Hongxia Yang](https://md.research.elamur.ai/free/en/authors/hongxia-yang/) - [Linfeng Dong](https://md.research.elamur.ai/free/en/authors/linfeng-dong/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/): [ACM Computing Surveys 2023](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2023/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 359 times (of the 149,439 papers whose bibliographies we read); [77 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shengyu-zhang/cited-by/). Updated 2 November 2026