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.

Research scientist at Tongyi Lab, Alibaba Group, working on multimodal large language models, machine reasoning, and efficient learning.

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 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.

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.

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 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.

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.

Research scientist in Tongyi Lab whose official profile highlights large language models, multimodal foundation models, and AI agents.

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

Bowen Yu is an Algorithm Expert at Qwen (Alibaba Group) working on LLM post-training and automated alignment.

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.

Jian Yang is an Associate Professor at Beihang University whose research focuses on code intelligence, large language models, and AI agents. He worked with Alibaba Qwen from 2023 to July 2025.

Algorithm expert at Alibaba DAMO Academy focused on natural language generation and large language models.

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.

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 Qwen focused on alignment, agentic systems, and multilingual language models; previously worked on post-training at Meta and studied at Renmin University of China.

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.

Ph.D. student in Computer Science at Zhejiang University and researcher on the Qwen series at Alibaba Group.

Ph.D. candidate at the University of Science and Technology of China whose research focuses on improving the general reasoning abilities of foundational large language models, LLMs for recommendation, and scaling reinforcement reasoning; he lists himself as a core contributor to the Qwen2.5 and Qwen3 technical reports.

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

Senior Research Manager and Senior Director at Tongyi Lab, Alibaba Group, leading agents and AI infrastructure research.

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.