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Qwen Technical Report
Large Language Models report from Alibaba Qwen with 48 connected researchers in the LLMpeople atlas.
Connected researchers
Jinze Bai
Alibaba Qwen
PhD student at The Hong Kong University of Science and Technology (Guangzhou) whose research interests include large language models, vision-language models, AI agents, and multimodal retrieval.
Shuai Bai
Alibaba Qwen
Senior algorithm expert at Alibaba Group working on large language models, multimodal large language models, and diffusion models.
Yunfei Chu
Alibaba Qwen
Algorithm expert at Alibaba Group working on computer vision, multimodal learning, and large language models.
Zeyu Cui
Alibaba Qwen
Zeyu Cui is listed as an author of the Qwen technical report Qwen3 Technical Report.
Kai Dang
Alibaba Qwen
Researcher on Alibaba's Qwen team focused on large language models and NLP, with public research profiles listing a Nankai University background.
Xiaodong Deng
Alibaba Qwen
Research scientist in Tongyi Lab whose official profile highlights post-training and multimodal large language models.
Yang Fan
Alibaba Qwen
Alibaba Qwen report author listed on Qwen, Qwen2.5, Qwen3, Qwen-VL, and Qwen-Image technical reports, with report-backed work on large language models, vision-language models, and image generation.
Wenbin Ge
Alibaba Qwen
Alibaba Qwen report author whose DBLP record includes Qwen2.5-VL and Qwen technical report work on multimodal and large language models.
Yu Han
Alibaba Qwen
Researcher affiliated with Alibaba Group on Google Scholar and coauthor of the Qwen technical report.
Fei Huang
Alibaba Qwen
Alibaba Qwen report author listed on Qwen, Qwen2.5, Qwen2.5-1M, Qwen3, Qwen3 Embedding, QwQ-32B, and Qwen-VL reports, with report-backed work on large language models, embeddings, reranking, and multimodal models.
Binyuan Hui
DeepSeek / MiniMax
Staff research scientist at Alibaba's Qwen Team and initiator of OpenDevin, focused on foundation models, reasoning models, coding agents, and computer-use agents.
Luo Ji
Alibaba Qwen
Leader of Qwen's reasoning and agent team.
Mei Li
Alibaba Qwen
Alibaba Qwen report author listed on Qwen, Qwen2.5, Qwen2.5-1M, and Qwen3 technical reports, with report-backed work on large language models, long-context modeling, and reasoning.
Junyang Lin
Alibaba Qwen
Junyang Lin (Justin Lin) is a researcher and open-source maintainer known for the Qwen family of models. His public profiles list interests in LLMs, AI agents, multimodal learning, long-horizon reasoning, world models, and reinforcement learning; multiple March 2026 news reports said he stepped down from the Qwen tech lead role.
Runji Lin
Alibaba Qwen
Machine learning researcher whose public profile highlights work across Berkeley AI Research, RISELab, Sky Computing, and the Ray team.
Dayiheng Liu
Alibaba Qwen
Algorithm expert at Alibaba DAMO Academy focused on natural language generation and large language models.
Gao Liu
Alibaba Qwen
Research scientist in Tongyi Lab whose official profile highlights post-training, reinforcement learning, reasoning, and AI agents.
Chengqiang Lu
Alibaba Qwen
Researcher with public work on large language models. Official Qwen materials credit him on Qwen releases, and public profiles include DBLP and OpenReview.
Keming Lu
Alibaba Qwen
Keming Lu is a research scientist at Tongyi Lab, Alibaba Group in Beijing and a co-author of the Qwen and Qwen2.5 technical reports.
Jianxin Ma
Alibaba Qwen
Researcher at Alibaba DAMO Academy with a background in natural language processing, speech, and recommender systems.
Rui Men
Alibaba Qwen
Alibaba Qwen report author listed on Qwen, Qwen2.5, Qwen2.5-1M, Qwen3, and Qwen-Image reports, with report-backed work on large language models, long-context models, and image generation.
Xingzhang Ren
Alibaba Qwen
Researcher at Alibaba working on foundation models and agents for enterprise applications.
Xuancheng Ren
Alibaba Qwen
Xuancheng Ren is listed as an author of the Qwen technical report Qwen3 Technical Report.
Chuanqi Tan
Alibaba Qwen / Z.ai
Chuanqi Tan's homepage says he received a PhD from Tsinghua University in July 2019, is currently focused on LLM research and applications, and is also a postdoctoral fellow at the University of Hong Kong.