---
title: "Congcong Wang — author profile and papers · Reasoning"
description: "Congcong Wang, Zhejiang Sci-Tech University: 2 papers on Elamur Research (2025), h-index 4 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/congcong-wang/"
---
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# Congcong Wang

Congcong Wang has 2 papers in our library, in 2025, 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 [Angang Du](https://md.research.elamur.ai/free/en/authors/angang-du/), [Bowei Xing](https://md.research.elamur.ai/free/en/authors/bowei-xing/), [Cheng Chen](https://md.research.elamur.ai/free/en/authors/cheng-chen/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5111099880) · [ORCID](https://orcid.org/0009-0006-5330-4691) · [**h-index 4**](https://openalex.org/authors/A5111099880) · [9 works](https://openalex.org/works?filter=author.id:A5111099880) · [65 citations](https://openalex.org/works?filter=author.id:A5111099880&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/congcong-wang/#papers) · [🔗 Cited 465 times in our library](https://md.research.elamur.ai/free/en/authors/congcong-wang/cited-by/) · [⭐ Paper Stars ranking: #3437](https://md.research.elamur.ai/free/en/paper-stars/page/35/#star-3437)

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

## Affiliations

[🎓**Center for Excellence in Brain Science and Intelligence Technology** Shanghai · China 2023–2025 · 3 papers*current*](https://ror.org/00vpwhm04) · [🏛️**Chinese Academy of Sciences** Beijing · China 2023–2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Nanjing University of Information Science and Technology** Nanjing · China 2025 · 2 papers*current*](https://ror.org/02y0rxk19) · [🎓**Zhejiang Sci-Tech University** Hangzhou · China 2023–2025 · 2 papers*current*](https://ror.org/03893we55) · [🎓**Guangzhou University** Guangzhou · China 2025 · 1 paper*current*](https://ror.org/05ar8rn06) · [🎓**Zhejiang University of Science and Technology** Hangzhou · China 2025 · 1 paper*current*](https://ror.org/05mx0wr29)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## 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).[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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

🧭 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

[**2025** 2 papers Congcong Wang's papers of 2025](https://md.research.elamur.ai/free/en/authors/congcong-wang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Kimi k1.5: Scaling Reinforcement Learning with LLMs](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-k1-5-scaling-reinforcement/)** *(2025 · 413 citations)* Next-token pretraining is limited by how much high-quality text exists. The Kimi Team proposes reinforcement learning as another way to keep scaling: the model creates its own training signal by exploring solutions and receiving rewards. The report describes how they built Kimi k1.5, a multimodal LLM. Training runs…
2. **[Kimi-VL Technical Report](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-vl-technical-report/)** *(2025 · 67 citations)* Open-source vision-language models have trailed text-only LLMs in efficiency, context length and extended reasoning.

## Co-authors here

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

- [Angang Du](https://md.research.elamur.ai/free/en/authors/angang-du/) ×2
- [Bowei Xing](https://md.research.elamur.ai/free/en/authors/bowei-xing/) ×2
- [Cheng Chen](https://md.research.elamur.ai/free/en/authors/cheng-chen/) ×2
- [Chenzhuang Du](https://md.research.elamur.ai/free/en/authors/chenzhuang-du/) ×2
- [Kimi Team](https://md.research.elamur.ai/free/en/authors/kimi-team/) ×2
- [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/)
- [Bowen Wang](https://md.research.elamur.ai/free/en/authors/bowen-wang/)
- [Cheng Li](https://md.research.elamur.ai/free/en/authors/cheng-li/)

## Cited by

Papers of our library cite their works 465 times (of the 141,840 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/congcong-wang/cited-by/).

Updated 24 October 2026
