Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Yiheng Xu is a research scientist focused on multimodal AI, coding agents, and reasoning systems. His public profiles link him to Qwen research and later work at OpenAI, with publications spanning vision-language models and code generation.

Senior algorithm expert at Alibaba Group working on large language models, multimodal large language models, and diffusion models.

Research scientist in Tongyi Lab whose public homepage and OpenReview profile describe work on large language models, multimodal learning, and visual grounding. His public profiles also list affiliations with Alibaba Group and East China Normal University.

Research scientist at Alibaba working on multimodal learning and generation; previously a postdoctoral researcher at Carnegie Mellon University.

Jun Tang works on multimodal foundation models, open-source language models, and agent systems. His personal site highlights work on Qwen and Qwen3-VL alongside related multimodal research.

Researcher focused on large language models and multimodal learning, with public profiles linking Keqin Chen to Beihang University and to Qwen vision-language model work.

Qwen researcher and author on the Qwen2-VL and Qwen2.5-VL technical reports, with public profiles linking his work to multimodal and vision-language systems.

Xi Zhang works on multimodal and vision-language model research. Public profiles connect him to Qwen2-VL and related open research projects.

Mingkun Yang works on multimodal large language models, embodied AI, and robotics. His public profile says he is a postdoc at Zhejiang University and a research scientist at Qwen.

Research scientist in Alibaba DAMO Academy's Tongyi Lab working on multimodal learning, vision-language models, and embodied AI; author on the Qwen2-VL and Qwen2.5-VL technical reports.

Zhibo Yang works on multimodal and vision-language systems. Public profiles connect him to the Qwen2.5-VL technical report and to an individual GitHub account that links back to his personal site.

Tongyi Lab researcher working on large language models, vision-language models, and reinforcement learning; public profiles connect Zheren Fu to the Qwen2-VL technical report.

Research scientist on the Qwen team at Alibaba Group, focusing on foundation models and language agents. He received a PhD in computer science from the University of Illinois Urbana-Champaign.

Researcher on Alibaba's Qwen team focused on large language models and NLP, with public research profiles listing a Nankai University background.

Yuanzhi Zhu is a Qwen researcher whose public work includes multimodal and audio-language models.

Researcher affiliated with the Qwen team at Alibaba Group on Google Scholar and coauthor of the Qwen and Qwen3 technical reports.

Research scientist in Tongyi Lab whose official profile highlights work on efficient reinforcement learning, generalization, inference-time scaling, and reasoning for large language models.

Senior research scientist in Tongyi Lab whose official profile highlights post-training, AI for science, evaluation and alignment, multimodal reasoning, and large language model reasoning.

Independent researcher focused on multimodal learning, document intelligence, and efficient training; coauthor of Qwen2.5-VL and mPLUG-related vision-language systems.

Researcher at Alibaba Group working on multimodal large language models; public profile and publication context connect Hang Zhang to the Qwen2-VL technical report.

Research scientist in Tongyi Lab and contributor to Qwen2-VL, with public work on multimodal large language models.

Research scientist in Alibaba DAMO Academy's Tongyi Lab working on machine learning, computer vision, and multimodal large language models; author on the Qwen2-VL and Qwen2.5-VL technical reports.

Research scientist in Tongyi Lab and maintainer of Qwen-VL, with public work on vision-language models.

Xuejing Liu is a researcher whose public OpenReview profile includes the Qwen2-VL and Qwen2.5-VL technical report papers.