From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 more institutions on single bylines are not listed.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5Arts and Humanities · 3 works Computer Science · 3 works Artificial Intelligence · 3 works Computer Vision and Pattern Recognition · 3 works Language and Linguistics · 3 works

🧭 Topics 3Language models & pretraining · 1 work Reasoning · 2 works Vision & language · 2 works

Works by year

2020s

20252 papers 20241 paper

Papers

The most cited first (OpenAlex and our library).

Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models (2024 · 21 citations)
Training sparse Mixture-of-Experts (MoE) LLMs involves several practical choices whose effects are poorly understood.
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought (2025 · 17 citations)
Vision-language models describe images well but fall behind text-only reasoning LLMs on multi-step tasks such as geometry proofs.
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning (2025 · 10 citations)
"Slow-thinking" vision-language models tend to improve on math and science benchmarks, but they often lose accuracy on everyday perception tasks and hallucinate more about image content.

Co-authors here

12 of 19 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 125 times (of the 149,439 papers whose bibliographies we read); 43 citing papers with a page here →.

Updated 30 October 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xiaokun-wang/

🧑‍🔬 Xiaokun Wang

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

🔗 Cited by

Xiaokun Wang

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by