In the early hours of March 4, Lin Junyang, the technical lead of Alibaba’s Tongyi Qianwen project, announced on social media that he will leave the initiative, a move that has prompted attention across China’s technology community. Alibaba and the Qianwen team have not disclosed Lin’s next destination or named a successor, and requests for comment from local media went unanswered at the time of publication.
Lin’s resume reads like a blueprint for China’s next-generation AI talent. Born in 1993, he studied computer science at Peking University and later completed a master’s in linguistics and applied linguistics at PKU’s School of Foreign Languages. His academic work spans natural language processing and multimodal representation learning, with publications at top-tier conferences such as NeurIPS, ICML and ACL.
After joining Alibaba’s Damo Academy, Lin was folded into the newly formed Tongyi lab in late 2022 and tapped to head the Tongyi Qianwen model series. His rapid rise — he became the youngest P10-level technical leader within Alibaba Group — reflected both the company’s race to build an in‑house AI stack and the premium it places on technical leadership.
Under Lin’s stewardship, Qwen became one of the best-known open-source large language model families. In 2024 he led the open release of Qwen models in multiple sizes (7B, 14B and 72B). In 2025 his team launched Qwen3‑Max, a flagship model reported to exceed ten trillion parameters, and began building out research on robotics and embodied intelligence.
The timing of Lin’s departure comes days after Alibaba’s Qianwen project published four new compact Qwen3.5 models (0.8B, 2B, 4B and 9B) aimed at spanning devices from highly resource-constrained hardware to lightweight high-performance uses. That continuing product cadence suggests engineering momentum remains; nevertheless, the absence of an announced successor injects short‑term uncertainty into Alibaba’s AI leadership bench.
This is not merely a personnel story. Leadership changes at the top of a premier Chinese AI program have industry-wide implications: they bear on whether Alibaba sustains an open-source posture that makes Qwen attractive to international researchers, how Alibaba balances commercialization with basic research, and how resilient its AI strategy is to talent churn. Observers will watch both who replaces Lin and whether Alibaba alters its cadence of open releases, model scaling and investments in robotics — areas where consistency of vision and technical stewardship matter.