--- title: "Xingle Xu · Northeastern University — author profile and papers" description: "Xingle Xu, Northeastern University: 4 papers on Elamur Research (2026), h-index 4 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/xingle-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xingle-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xingle Xu # Xingle Xu Xingle Xu has 4 papers in our library, in 2026, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); 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/). 4 papers in our library · 2026 [OpenAlex](https://openalex.org/A5070276694) · [ORCID](https://orcid.org/0009-0005-4165-7046) · [**h-index 4**](https://openalex.org/authors/A5070276694) · [15 works](https://openalex.org/works?filter=author.id:A5070276694) · [59 citations](https://openalex.org/works?filter=author.id:A5070276694&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xingle-xu/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/xingle-xu/cited-by/) · [⭐ Paper Stars ranking: #12116](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12116) 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=Xingle+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xingle+Xu) · [dblp](https://dblp.org/search?q=Xingle+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Xingle+Xu) ## Affiliations [🎓**Northeastern University** Shenyang · China 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🎓**Jiangnan University** Wuxi · China 2016 · 2 papers](https://ror.org/04mkzax54) · [🔬**China Education and Research Network** Beijing · China Employment](https://ror.org/00375d304) 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).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 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/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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/) 🧭 Topics 3 Research subjects and languages the work is about.[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** 4 papers](https://md.research.elamur.ai/free/en/authors/xingle-xu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Why Do More Experts Fail? A Theoretical Analysis of Model Merging](https://md.research.elamur.ai/free/en/papers/wang-2026-why-do-more-experts-fail/)** *(2026 · 2 citations)* Merging several fine-tuned expert models into one multi-task model saves storage and compute. However, adding more experts stops helping quickly: state-of-the-art methods such as GENOME level off at around six merged models on most datasets. This paper asks why that ceiling exists. Using high-dimensional geometry… 2. **[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. 3. **[Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning](https://md.research.elamur.ai/free/en/papers/liu-2026-look-within-or-beyond-theoretical/)** *(2026)* Parameter-efficient fine-tuning (PEFT) methods such as LoRA often match full fine-tuning (FFT) on standard benchmarks. It is less clear whether they hold up on harder tasks like reasoning and instruction-following, or under adversarial inputs. The authors address this with a theoretical analysis backed by experiments. 4. **[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… ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/) ×4 - [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) ×4 - [Xiaocui Yang](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/) ×3 - [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 - [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) ×2 - [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/) ×2 - [Zijing Wang](https://md.research.elamur.ai/free/en/authors/zijing-wang/) ×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/) - [Peiqin Lin](https://md.research.elamur.ai/free/en/authors/peiqin-lin/) - [Qian Li](https://md.research.elamur.ai/free/en/authors/qian-li/) ## 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 - [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 ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/xingle-xu/cited-by/). Updated 2 November 2026