---
title: "Chenglong Wang — author profile and papers in our library"
description: "Chenglong Wang, Northeastern University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/chenglong-wang/"
---
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# Chenglong Wang

Chenglong Wang has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jingbo Zhu](https://md.research.elamur.ai/free/en/authors/jingbo-zhu/), [Tong Xiao](https://md.research.elamur.ai/free/en/authors/tong-xiao/), [Qiaozhi He](https://md.research.elamur.ai/free/en/authors/qiaozhi-he/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139764690) · [**h-index 0**](https://openalex.org/authors/A5139764690) · [6 works](https://openalex.org/works?filter=author.id:A5139764690) · [0 citations](https://openalex.org/works?filter=author.id:A5139764690&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/chenglong-wang/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11061](https://md.research.elamur.ai/free/en/paper-stars/page/111/#star-11061)

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=Chenglong+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chenglong+Wang) · [dblp](https://dblp.org/search?q=Chenglong+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Chenglong+Wang)

## Affiliations

[🎓**Northeastern University** Shenyang · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/)

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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/chenglong-wang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Cross-layer Attention Sharing for Pre-trained Large Language Models](https://md.research.elamur.ai/free/en/papers/mu-2026-cross-layer-attention-sharing-pre/)** *(2026 · 2 citations)* Earlier work on making LLM attention more efficient mostly targets redundancy inside a layer, for example by compressing the KV cache or grouping heads.
2. **[RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment](https://md.research.elamur.ai/free/en/papers/luo-2026-routelmt-learned-sample-routing-hybrid/)** *(2026)* Serving every translation request with a large LLM is too costly for industrial systems. Hybrid setups therefore send most traffic to a small model and escalate only some inputs to a large one. The authors treat this escalation decision as spending a fixed budget of large-model calls. They argue that requests should…
3. **[SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams](https://md.research.elamur.ai/free/en/papers/wang-2026-serm-self-evolving-relevance-model/)** *(2026)* Search relevance models trained on fixed datasets lose accuracy as live query traffic changes, for example when users adopt new slang or cultural references.

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Jingbo Zhu](https://md.research.elamur.ai/free/en/authors/jingbo-zhu/) ×3
- [Tong Xiao](https://md.research.elamur.ai/free/en/authors/tong-xiao/) ×3
- [Qiaozhi He](https://md.research.elamur.ai/free/en/authors/qiaozhi-he/) ×2
- [Bei Li](https://md.research.elamur.ai/free/en/authors/bei-li/)
- [DingYang Lin](https://md.research.elamur.ai/free/en/authors/dingyang-lin/)
- [Fandong Meng](https://md.research.elamur.ai/free/en/authors/fandong-meng/)
- [Jiali Zeng](https://md.research.elamur.ai/free/en/authors/jiali-zeng/)
- [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/)
- [Kaiyan Chang](https://md.research.elamur.ai/free/en/authors/kaiyan-chang/)
- [Murun Yang](https://md.research.elamur.ai/free/en/authors/murun-yang/)
- [Quan Du](https://md.research.elamur.ai/free/en/authors/quan-du/)
- [Weixiong Lin](https://md.research.elamur.ai/free/en/authors/weixiong-lin/)

## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/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/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
