--- title: "Yifei Zhang · Hebei General Hospital — author profile and papers" description: "Yifei Zhang, Hebei General Hospital: 9 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/yifei-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yifei-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yifei Zhang # Yifei Zhang Yifei Zhang has 9 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/), [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/), [Xiaocui Yang](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/). 9 papers in our library · 2026 [OpenAlex](https://openalex.org/A5078280239) · [ORCID](https://orcid.org/0000-0003-0854-2966) · [**h-index 5**](https://openalex.org/authors/A5078280239) · [29 works](https://openalex.org/works?filter=author.id:A5078280239) · [110 citations](https://openalex.org/works?filter=author.id:A5078280239&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 9 works in our library](https://md.research.elamur.ai/free/en/authors/yifei-zhang/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/yifei-zhang/cited-by/) · [⭐ Paper Stars ranking: #11895](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11895) 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=Yifei+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yifei+Zhang) · [dblp](https://dblp.org/search?q=Yifei+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Yifei+Zhang) ## Affiliations [🎓**Northeastern University** Shenyang · China 2019–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🏥**Hebei General Hospital** Shijiazhuang · China 2026 · 1 paper*current*](https://ror.org/01nv7k942) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 12 The field of science this work belongs to (OpenAlex fields).[Computer Science · 9 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Psychology · 3 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Experimental and Cognitive Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Applied Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/applied-psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 6 Research subjects and languages the work is about.[Vision & language · 4 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Sentiment & emotion · 2 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 9 papers](https://md.research.elamur.ai/free/en/authors/yifei-zhang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/xu-2026-molan-unified-modality-aware-noise/)** *(2026 · 1 citation)* Multimodal sentiment analysis (MSA) models often get misled by irrelevant visual or acoustic signals, such as background laughter that contradicts a speaker's mood. 2. **[NEAT: Neuron-Based Early Exit for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-neat-neuron-based-early-exit/)** *(2026 · 1 citation)* Large Reasoning Models frequently keep producing reasoning after they have already reached a correct solution. 3. **[PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-plam-training-free-plateau-guided/)** *(2026 · 1 citation)* Multimodal instruction fine-tuning tends to weaken the text reasoning that MLLMs inherit from their base language models. 4. **[Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation](https://md.research.elamur.ai/free/en/papers/shangguan-2026-resource-limited-joint-multimodal-sentiment/)** *(2026 · 1 citation)* The paper tackles multimodal sentiment analysis of text-image posts when only a small model can be deployed. 5. **[CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/wei-2026-cirag-construction-integration-retrieval-adaptive/)** *(2026)* Triple-based iterative RAG for multi-hop QA has two weaknesses. It keeps only one best triple per step, so early mistakes compound and parallel evidence is lost. It also uses a single evidence granularity, which can be too noisy or too sparse depending on the question. CIRAG draws on Kintsch's… 6. **[GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing](https://md.research.elamur.ai/free/en/papers/wang-2026-genpt-beyond-self-report-reliable/)** *(2026)* Psychological profiling of persona-conditioned LLM agents (PC-Agents) usually relies on self-report questionnaires such as BFI, BDI or MBTI. 7. **[Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-identifying-achilles-heel-iterative-method/)** *(2026)* Large language models often state false facts with confidence. Existing factuality benchmarks have four main weaknesses: they need costly manual annotation, their static test sets may have leaked into training data, they cover few topics or question formats, and they cannot steer testing toward a model's weak spots.… 8. **[RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-ration-entropy-driven-task-adaptive/)** *(2026)* Multimodal LLMs often fail on visually demanding questions because they spread visual attention badly. In counting, attention can lock onto a few spots and miss objects. In OCR, it can drift over irrelevant regions instead of the text. The authors argue that earlier fixes, such as better alignment, chain-of-thought… 9. **[Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasoning-as-gradient-scaling-mle/)** *(2026)* Most LLM agents for machine learning engineering (MLE) improve solutions through tree or graph search. They reduce rich execution feedback to a scalar score and use it only to decide which candidate to keep. The authors argue that this is a gradient-free approach. It wastes diagnostic information that strong… ## Co-authors here 12 of 33 co-authors with a page, the most papers together first. - [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/) ×7 - [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) ×7 - [Xiaocui Yang](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/) ×7 - [YongKang Liu](https://md.research.elamur.ai/free/en/authors/yongkang-liu/) ×3 - [Dexian Cai](https://md.research.elamur.ai/free/en/authors/dexian-cai/) ×2 - [Xingle Xu](https://md.research.elamur.ai/free/en/authors/xingle-xu/) ×2 - [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/) - [Fanheng Kong](https://md.research.elamur.ai/free/en/authors/fanheng-kong/) - [Ge Yu](https://md.research.elamur.ai/free/en/authors/ge-yu/) - [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) - [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/) - [Jian Wang](https://md.research.elamur.ai/free/en/authors/jian-wang/) ## 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/) ×7: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×7 - [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 ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yifei-zhang/cited-by/). Updated 2 November 2026