Moonshot AI

Research scientist at Moonshot AI studying scaling in reinforcement learning and large language models.

Xinxing Zu is a research scientist at Moonshot AI. His public profile notes a PhD in computer science from New York University, prior work as an AI scientist at Amazon, and research interests in AI agents, reasoning, and multimodality.

PhD student in computer science at Peking University and research intern at PACMAN whose public homepage highlights computer systems, compilation, and parallel optimization for AI applications.

Research scientist at Moonshot AI and postdoctoral scholar at Stanford University working on large reasoning models, reinforcement learning, and AI decision-making. He obtained a PhD in computer science from Arizona State University.

Xingcheng Yao is a research scientist at Moonshot AI. His public profile notes prior work as a research engineer at Tencent AI Lab, a PhD in computer science from the University of Southern California, and research interests spanning NLP, multimodal systems, and AI agents.

PhD student at Renmin University of China whose homepage highlights multimodal foundation models and video understanding, with public projects and papers including DeepSeek-VL and Kimi-VL.

Researcher at Moonshot AI focused on multimodal large language models, visual reasoning, and understanding, with publications in major computer vision and machine learning venues.

Technical staff member on Moonshot AI's agent team whose public OpenReview profile lists work across deep learning, natural language processing, large language models, vision-language models, and agents.

Researcher focused on computer vision and multimodal large models; his homepage lists the Kimi K2.5 technical report among his publications and earlier work from Peking University.

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.

Tongxu Luo is a PhD student at The Chinese University of Hong Kong, Shenzhen, and an intern at Moonshot AI focusing on reinforcement learning for LLMs and large reasoning models.

Yulun Du is a Moonshot AI-affiliated researcher. Public profiles also show prior work and study at Carnegie Mellon University, including a Master of Language Technologies completed in 2020.

Researcher and engineer focused on reinforcement learning and embodied intelligence; his public profile lists work spanning Huawei Noah's Ark Lab, Momenta, Moonshot AI, and XVI Robotics, and he is credited on Moonshot AI technical reports.

Research scientist at Moonshot AI working on foundation models, multimodal large language models, and agents; previously worked at Huawei Noah's Ark Lab and studied at the Chinese University of Hong Kong.

Zihan Wang is a Northwestern University PhD student and DeepSeek alumnus whose public OpenReview profile includes Moonshot AI's Kimi K2.5 paper and DeepSeek model-family papers.

Research scientist at Moonshot AI focused on large multimodal models and large language model post-training.

Dongliang Wang is a research scientist at Moonshot AI whose public profiles highlight multimodal large language models. His homepage also notes earlier PhD work at Shanghai AI Lab and Shanghai Jiao Tong University.

Huabin Zheng is a research scientist at Moonshot AI. His homepage says he works on large language models, multi-agent systems, code generation, and game agents.

Assistant Professor of Computer Science at the University of Hong Kong and director of XLANG Lab, focusing on natural language processing and embodied AI agents.

Research intern at Moonshot AI and PhD student at New York University working on multimodal reasoning, AI agents, and large language models.

Research scientist at Moonshot AI working on large language models, multimodal large language models, AI4Science, and efficient and trustworthy machine learning.

Research scientist at Moonshot AI interested in large language models, multimodal learning, and reinforcement learning.

Zhennan Shen is a research scientist at Moonshot AI. His homepage says he works on embodied intelligence, reinforcement learning, and generative world models.

Engineer focused on large-scale inference systems for kimi.ai; public profiles connect this work to Moonshot AI and related model releases.