---
title: "Ronghao Chen · Peking University — author profile and papers"
description: "Ronghao Chen, Peking University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/ronghao-chen/"
---
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# Ronghao Chen

Ronghao Chen has 2 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/); often with [Huacan Wang](https://md.research.elamur.ai/free/en/authors/huacan-wang/), [Jingping Liu](https://md.research.elamur.ai/free/en/authors/jingping-liu/), [Shuhe Wang](https://md.research.elamur.ai/free/en/authors/shuhe-wang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139766663) · [**h-index 0**](https://openalex.org/authors/A5139766663) · [6 works](https://openalex.org/works?filter=author.id:A5139766663) · [0 citations](https://openalex.org/works?filter=author.id:A5139766663&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ronghao-chen/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11659](https://md.research.elamur.ai/free/en/paper-stars/page/117/#star-11659)

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

## Affiliations

[🎓**Peking University** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/)

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 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ronghao-chen/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions](https://md.research.elamur.ai/free/en/papers/wu-2026-knowme-bench-benchmarking-person-understanding/)** *(2026 · 1 citation)* Digital companions meant to support a user for years must do more than recall facts. They need to explain and anticipate behaviour from a person's motivations and values. Current long-term memory benchmarks mostly use chat logs or synthetic histories and mainly test retrieval. KnowMe-Bench instead draws on long…
2. **[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

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

- [Huacan Wang](https://md.research.elamur.ai/free/en/authors/huacan-wang/) ×2
- [Jingping Liu](https://md.research.elamur.ai/free/en/authors/jingping-liu/)
- [Shuhe Wang](https://md.research.elamur.ai/free/en/authors/shuhe-wang/)
- [Shuo Zhang](https://md.research.elamur.ai/free/en/authors/shuo-zhang/)
- [Yan Zhou](https://md.research.elamur.ai/free/en/authors/yan-zhou/)
- [Ziyan Liu](https://md.research.elamur.ai/free/en/authors/ziyan-liu/)

## 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

## Cited by

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

Updated 1 November 2026
