--- title: "Yan Zhou — author profile and papers — Elamur Research" description: "Yan Zhou, East China University of Science and Technology: 7 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/yan-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yan-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yan Zhou # Yan Zhou Yan Zhou has 7 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Qingkai Fang](https://md.research.elamur.ai/free/en/authors/qingkai-fang/), [Yang Feng](https://md.research.elamur.ai/free/en/authors/yang-feng/), [Shaolei Zhang](https://md.research.elamur.ai/free/en/authors/shaolei-zhang/). 7 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139784705) · [**h-index 0**](https://openalex.org/authors/A5139784705) · [4 works](https://openalex.org/works?filter=author.id:A5139784705) · [0 citations](https://openalex.org/works?filter=author.id:A5139784705&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/yan-zhou/#papers) · [🔗 Cited 180 times in our library](https://md.research.elamur.ai/free/en/authors/yan-zhou/cited-by/) · [⭐ Paper Stars ranking: #6348](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6348) 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=Yan+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yan+Zhou) · [dblp](https://dblp.org/search?q=Yan+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Yan+Zhou) ## Affiliations [🏢**China Telecom** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/china-telecom-cn/) · [🎓**East China University of Science and Technology** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/east-china-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 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computer Vision and Pattern Recognition · 4 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/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 7 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yan-zhou/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yan-zhou/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yan-zhou/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yan-zhou/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLaMA-Omni: Seamless Speech Interaction with Large Language Models](https://md.research.elamur.ai/free/en/papers/fang-2024-llama-omni-seamless-speech-interaction/)** *(2024 · 91 citations)* Commercial systems such as GPT-4o allow spoken, real-time conversations with LLMs, but there is little open work on building similar speech interfaces on top of open-source LLMs. 2. **[BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-bayling-bridging-cross-lingual-alignment/)** *(2023 · 85 citations)* Most large language models are trained mainly on English text and English instructions, so they perform worse in other languages. 3. **[LLaMA-Omni 2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis](https://md.research.elamur.ai/free/en/papers/fang-2025-llama-omni-2-llm-based/)** *(2025 · 20 citations)* The paper addresses how to build a spoken chatbot that is smart, responds quickly, and sounds natural, without the huge speech corpora that native SpeechLMs need. 4. **[Can Multimodal Large Language Models Understand Spatial Relations?](https://md.research.elamur.ai/free/en/papers/liu-2025-can-multimodal-large-language-models/)** *(2025 · 11 citations)* Spatial relation reasoning is a basic skill for multimodal large language models (MLLMs), but existing benchmarks have several weaknesses. 5. **[Efficient Training for Cross-lingual Speech Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-efficient-training-cross-lingual-speech/)** *(2026 · 2 citations)* Building end-to-end speech LLMs is difficult because speech data is scarce, particularly outside a few major languages. 6. **[TeleAI at SemEval-2026 Task 3: Large Language Models for Dimensional Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zhou-2026-teleai-semeval-2026-task-3/)** *(2026 · 1 citation)* This paper describes TeleAI's entry for Track A, Subtask 1 (DimASR) of SemEval-2026 Task 3. In this task, sentiment toward each aspect term is not a polarity label but a pair of continuous Valence–Arousal (VA) scores between 1 and 9, scored with RMSE_VA. The authors treat the problem as direct regression. The input… 7. **[MirrorQA: Benchmarking Multimodal LLMs on Mirror-Orientation Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-mirrorqa-benchmarking-multimodal-llms-mirror/)** *(2026)* Multimodal LLMs often confuse left and right when a question concerns a person's or animal's own body. They tend to answer from the viewer's side of the image rather than the subject's. Existing spatial benchmarks (e.g., EmbSpatial-Bench, VSR) define directions from the camera's viewpoint, and pose datasets like COCO… ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Qingkai Fang](https://md.research.elamur.ai/free/en/authors/qingkai-fang/) ×4 - [Yang Feng](https://md.research.elamur.ai/free/en/authors/yang-feng/) ×4 - [Shaolei Zhang](https://md.research.elamur.ai/free/en/authors/shaolei-zhang/) ×3 - [Jingping Liu](https://md.research.elamur.ai/free/en/authors/jingping-liu/) ×2 - [Shoutao Guo](https://md.research.elamur.ai/free/en/authors/shoutao-guo/) ×2 - [Zhengrui Ma](https://md.research.elamur.ai/free/en/authors/zhengrui-ma/) ×2 - [Ziyan Liu](https://md.research.elamur.ai/free/en/authors/ziyan-liu/) ×2 - [Haiyun Jiang](https://md.research.elamur.ai/free/en/authors/haiyun-jiang/) - [Huacan Wang](https://md.research.elamur.ai/free/en/authors/huacan-wang/) - [Mengjiao Bao](https://md.research.elamur.ai/free/en/authors/mengjiao-bao/) - [Ronghao Chen](https://md.research.elamur.ai/free/en/authors/ronghao-chen/) - [Ruiyu Fang](https://md.research.elamur.ai/free/en/authors/ruiyu-fang/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - [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/) - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/) ## Cited by Papers of our library cite their works 180 times (of the 149,439 papers whose bibliographies we read); [50 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yan-zhou/cited-by/). Updated 2 November 2026