Atlas / Organizations / Detail
Alibaba Qwen
Qwen is one of the clearest examples of a large industrial lab turning model families into a long-running public research program.
Roster
Xinyu Zhang
Alibaba Qwen
Research scientist at Tongyi Lab, Alibaba Group, working on multimodal large language models, machine reasoning, and efficient learning.
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.
Nan Duan
Alibaba Qwen
Nan Duan is head of foundation model post-training at Qwen and a vice president at Alibaba Group. His public profile highlights work on foundation models and natural language processing, after earlier research leadership at Microsoft Research.
Le Yu
Alibaba Qwen
Algorithm Engineer at the Qwen Team, Alibaba Group. He received his Ph.D. in computer science from Beihang University in 2024 and works on post-training alignment for Qwen models, with research interests in large language models, graph neural networks, and recommender systems.
Zhen Ye
Alibaba Qwen
Zhen Ye is a researcher in the Qwen team at Alibaba Cloud. His public profile notes a PhD in computer science from the University of Massachusetts Amherst and research interests in natural language understanding, generation, and reasoning.
Yiheng Xu
Alibaba Qwen
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.
Xiaohuan Zhou
Alibaba Qwen
Research scientist in Tongyi Lab whose official profile highlights large language models, multimodal foundation models, and AI agents.
Bowen Yu
Alibaba Qwen
Bowen Yu is an Algorithm Expert at Qwen (Alibaba Group) working on LLM post-training and automated alignment.
Chao Zhang
Alibaba Qwen
Chao Zhang is an applied scientist in the Alibaba Foundation Model team. His public profile notes a PhD in computer science from the University of Illinois Urbana-Champaign and research interests in NLP, large language models, reasoning, and multimodal generation.
Zhengyuan Liu
Alibaba Qwen
Zhengyuan Liu is a research scientist at Alibaba Group and a PhD student at the National University of Singapore. His public profile highlights work in natural language processing, vision-language models, and grounding.
Shuai Bai
Alibaba Qwen
Senior algorithm expert at Alibaba Group working on large language models, multimodal large language models, and diffusion models.
Hao Yang
DeepSeek / Meta AI
Researcher at Moonshot AI working on multimodal large language models; previously a key member of Alibaba's Qwen team and author of work including Kimi-VL, DeepSeek-VL, and Qwen technical reports.
Dayiheng Liu
Alibaba Qwen
Algorithm expert at Alibaba DAMO Academy focused on natural language generation and large language models.
Yichang Zhang
Alibaba Qwen
Yichang Zhang is a research scientist in Alibaba's Tongyi Lab and part of the Qwen team. His public profiles describe work on machine reasoning, agent systems, post-training, synthetic data, evaluation, large language models, multimodal learning, and perception.
Jiabo Ye
Alibaba Qwen
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.
Wei Ding
Alibaba Qwen
Research scientist at Alibaba working on multimodal learning and generation; previously a postdoctoral researcher at Carnegie Mellon University.
Jun Tang
Alibaba Qwen
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.
Tianyi Tang
Alibaba Qwen
Research Scientist on the Qwen team at Alibaba Cloud.
Yale Song
Alibaba Qwen
Yale Song is an assistant professor in artificial intelligence at Yonsei University and is also affiliated with the Stanford AI Lab while working part-time with Adobe Research.
Zesen Cheng
Alibaba Qwen
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.
Chuanqi Tan
Alibaba Qwen / Z.ai
Chuanqi Tan works on LLM research and applications. His personal homepage says he earned a PhD from Tsinghua University in 2019 and is also a postdoctoral fellow at The University of Hong Kong.
Shengguang Wu
Alibaba Qwen
Ph.D. student in Computer Science at Stanford University who previously worked on LLMs and agents with Alibaba's Qwen team.
Chang Gao
Alibaba Qwen
Researcher at Alibaba's Qwen team, previously a PhD student in the CUHK Text Mining Group, working on RL for LLM reasoning and alignment.
Chujie Zheng
Alibaba Qwen
Chujie Zheng is an incoming senior researcher at Alibaba Group. His academic homepage says he is finishing a Ph.D. at the University of Wisconsin-Madison and works on large language model reasoning, alignment, and reinforcement learning.