Z.ai

Yuxiang Zheng is a Ph.D. student in electrical and computer engineering at Memorial University of Newfoundland. The homepage says Yuxiang Zheng received double B.Eng. degrees in electronics and electrical engineering from the University of Glasgow and the University of Electronic Science and Technology of China in 2021, an M.Sc. with distinction in communications and signal processing from Imperial College London in 2022, and studies reinforcement learning and quantum machine learning for 6G vehicular networks.

Xueyan Zou is an assistant professor in the College of AI at Tsinghua University. Her official Tsinghua page says she works on interactive embodied intelligence powered by world models, dexterous control and sensing, and embodied foundation models, after receiving a Ph.D. in computer science from the University of Wisconsin-Madison and then becoming a postdoctoral fellow at UC San Diego's Contextual Robotics Institute.

Jialong Tang works at Alibaba Tongyi in Hangzhou. The homepage says Jialong Tang received a Ph.D. from the Chinese Information Processing Laboratory at the Institute of Software, Chinese Academy of Sciences in 2023, a bachelor's degree from Xiamen University in 2018, and studies natural language processing, event understanding, multilingual systems, and Qwen large language models.

Chuanqi Tan's homepage says he received a PhD from Tsinghua University in July 2019, is currently focused on LLM research and applications, and is also a postdoctoral fellow at the University of Hong Kong.

Wenyi Hong's homepage says she is a fourth-year PhD student in Computer Science at Tsinghua University, supervised by Jie Tang, with research focused on multimodal foundation models.

Can Cao is a Ph.D. student at Tsinghua University advised by Ming Zhou and Yuxuan Wang. The homepage says Can Cao received a bachelor's degree from Tsinghua University in 2022, previously interned at Microsoft Research Asia in summer 2022 and Meta AI in summer 2025, and studies large language models with a focus on pre-training, reasoning, agents, post-training, and multimodal learning.

Jingren Zhou is Chief Technology Officer of Alibaba Cloud. Public speaker biographies describe him as a computer scientist and entrepreneur whose work includes large-scale AI and cloud systems.

Yifei Qu is a technical staff member at JD Explore Academy in Beijing and a Ph.D. student at the University of Texas at Austin. The homepage says Yifei Qu received a master's degree from Carnegie Mellon University in 2023, a bachelor's degree from Sun Yat-sen University in 2021, expects to graduate in 2027, and works on learning and optimization, reinforcement learning, reasoning, and alignment for large language models under Peter Stone.

Yutao Sun is a fifth-year Ph.D. student at Zhejiang University supervised by Minlie Huang. The homepage says Yutao Sun has been a visiting student researcher at Stanford University since September 2023 under Tatsunori Hashimoto, earned a bachelor's degree from Tsinghua University in 2019, and studies code generation, code agents, execution feedback, and reasoning in large language models.

Jie Tang works on artificial general intelligence, data mining, machine learning, and knowledge graphs, and is an author on the GLM-OCR Technical Report.

Researcher whose public work spans information retrieval, recommendation systems, and large language models.

Zhifeng Chen's public homepage describes him as a distinguished software engineer at Google Brain focused on large-scale computer systems and machine learning applications.

Public sources identify Yukuo Cen as a GLM-OCR coauthor and as affiliated with Zhipu AI and KEG, Tsinghua University in public course materials.

Z.ai report author listed on GLM-Z1, GLM-4.5, GLM-4.1V/4.5V, and GLM-5 materials, with report-backed work on reasoning, coding, agentic, and multimodal models.

Z.ai report author listed on GLM-Z1, GLM-4.5, GLM-4.1V/4.5V, and GLM-5 materials, with report-backed work on reasoning, agentic, and multimodal models.

Z.ai researcher focused on multimodal large language models and computer vision, with interests in large-model training and post-training.

Public report authorship links Pengxiang Cheng to the GLM-Z1-Rumination: An Open Frontier-Class Reasoning Model Through Test-Time Scaling at Z.ai.

Xi Chen is listed as an author of the Z.ai technical report GLM-4.1V-Thinking and GLM-4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

Public report authorship links Xinhua Cheng to the GLM-Z1-Rumination: An Open Frontier-Class Reasoning Model Through Test-Time Scaling at Z.ai.

Public report authorship links Yizhe Yang to the GLM-Z1-Rumination: An Open Frontier-Class Reasoning Model Through Test-Time Scaling at Z.ai.

Public report authorship links Zhongzheng Ren to the GLM-Z1-Rumination: An Open Frontier-Class Reasoning Model Through Test-Time Scaling at Z.ai.

Researcher at Moonshot AI and co-author of the Kimi K2.5 report on visual agentic intelligence.

Co-author of GLM-4.1V-Thinking and GLM-4.5V, multimodal reasoning models trained with scalable reinforcement learning.

Public report authorship links Baobao Chang to the GLM-4.5: Agentic, Reasoning, and Coding Foundation Models at Z.ai.

Yuxiang Zheng

Xueyan Zou

Jialong Tang

Chuanqi Tan

Wenyi Hong

Can Cao

Jingren Zhou

Yifei Qu

Yutao Sun

Jie Tang

Ruobing Xie

Zhifeng Chen

Yukuo Cen

Yipeng Wang

Zihan Jiang

Ling Chen

Pengxiang Cheng

Xi Chen

Xinhua Cheng

Yizhe Yang

Zhongzheng Ren

Yichi Zhang

Yuxuan Hu

Baobao Chang