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Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Vision-Language Models report from Alibaba Qwen with 13 connected researchers in the LLMpeople atlas.
Connected researchers
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.
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.
Yang Fan
Alibaba Qwen
Yang Fan is a research scientist at Alibaba Group. His homepage says he works on large language model post-training and deployment.
Zeyu Cui
Alibaba Qwen
Research scientist at Meta in New York City and research advisor at the UCLA NLP group; previously completed a PhD in computer science at UCLA.
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.
Jingren Zhou
Moonshot AI / Alibaba Qwen
Alibaba senior technology leader and researcher associated with Qwen. Public profiles list him with Alibaba Group, and official Alibaba Cloud coverage identifies him as a chief technology officer leading large-model work.
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.
Fei Huang
Alibaba Qwen
Researcher at Alibaba Group working on natural language processing and multimodal AI.
Xiaodong Deng
Alibaba Qwen
Research scientist in Tongyi Lab whose official profile highlights post-training and multimodal large language models.
Wenbin Ge
Alibaba Qwen
Research scientist in Tongyi Lab whose official profile highlights work on efficient reinforcement learning, generalization, inference-time scaling, and reasoning for large language models.
Chang Zhou
Alibaba Qwen
Qwen researcher and co-lead whose work focuses on pretraining and post-training, multimodal models, agent systems, and large-scale model infrastructure.
Yu Han
Alibaba Qwen
Researcher affiliated with Alibaba Group on Google Scholar and coauthor of the Qwen technical report.