---
title: "Lianghao Deng · Alibaba Group — author profile and papers"
description: "Lianghao Deng, Alibaba Group: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/lianghao-deng/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lianghao-deng/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lianghao Deng

# Lianghao Deng

Lianghao Deng has 2 papers in our library, in 2025–2026; often with [Chang Gao](https://md.research.elamur.ai/free/en/authors/chang-gao/), [ChenXu Lv](https://md.research.elamur.ai/free/en/authors/chenxu-lv/), [Jianhong Tu](https://md.research.elamur.ai/free/en/authors/jianhong-tu/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5123883839) · [**h-index 0**](https://openalex.org/authors/A5123883839) · [5 works](https://openalex.org/works?filter=author.id:A5123883839) · [0 citations](https://openalex.org/works?filter=author.id:A5123883839&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lianghao-deng/#papers) · [🔗 Cited 352 times in our library](https://md.research.elamur.ai/free/en/authors/lianghao-deng/cited-by/) · [⭐ Paper Stars ranking: #4486](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4486)

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

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/)

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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 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/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/lianghao-deng/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/lianghao-deng/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Qwen3-VL Technical Report](https://md.research.elamur.ai/free/en/papers/bai-2025-qwen3-vl-technical-report/)** *(2025 · 370 citations)* Qwen3-VL is the Qwen Team's newest open family of vision–language models. Its goal is to handle text, images and video in one model, with long contexts and strong reasoning, while keeping the language skills of the underlying LLM. The family is built on Qwen3 and comes in four dense sizes and two mixture-of-experts…
2. **[DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints](https://md.research.elamur.ai/free/en/papers/zhang-2026-deepplanning-benchmarking-long-horizon-agentic/)** *(2026 · 5 citations)* DeepPlanning is a benchmark from the Qwen Team that tests whether LLM agents can plan over long horizons under verifiable constraints. Many existing agent benchmarks reward only step-level reasoning. Planning benchmarks, for their part, tend to skip active information gathering and fine-grained real-world limits.

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Chang Gao](https://md.research.elamur.ai/free/en/authors/chang-gao/)
- [ChenXu Lv](https://md.research.elamur.ai/free/en/authors/chenxu-lv/)
- [Jianhong Tu](https://md.research.elamur.ai/free/en/authors/jianhong-tu/)
- [Junyang Lin](https://md.research.elamur.ai/free/en/authors/junyang-lin/)
- [Keqin Chen](https://md.research.elamur.ai/free/en/authors/keqin-chen/)
- [Ruizhe Chen](https://md.research.elamur.ai/free/en/authors/ruizhe-chen/)
- [Shuai Bai](https://md.research.elamur.ai/free/en/authors/shuai-bai/)
- [Wenbin Ge](https://md.research.elamur.ai/free/en/authors/wenbin-ge/)
- [Xionghui Chen](https://md.research.elamur.ai/free/en/authors/xionghui-chen/)
- [Yang Su](https://md.research.elamur.ai/free/en/authors/yang-su/)
- [Zhifang Guo](https://md.research.elamur.ai/free/en/authors/zhifang-guo/)

## 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/)

## Cited by

Papers of our library cite their works 352 times (of the 149,439 papers whose bibliographies we read); [82 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lianghao-deng/cited-by/).

Updated 31 October 2026
