Peking University

Eric P. Xing is president of Mohamed bin Zayed University of Artificial Intelligence and a professor in Carnegie Mellon University's Machine Learning Department, Language Technologies Institute, and Computer Science Department. His public homepage and biography say his work spans machine learning, statistical methodology, large-scale computational systems, large language models, world and agent models, and biology foundation models; he earned a bachelor's degree from Peking University and PhDs from Rutgers University and the University of Alberta.

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.

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.

Ke Ye is a fifth-year PhD student in the Language Technologies Institute at Carnegie Mellon University. His homepage says his research spans natural language processing, machine learning, and artificial intelligence, including language models, speech and speech-language models, conversational AI, and reasoning, and notes that before Carnegie Mellon he worked at Apple Intelligence. His OpenReview profile lists Apple foundation-model work alongside earlier roles at Google, Roblox, and Capital One.

Tianyu Liu is a researcher at Kimi working on coding and agents. He previously worked on Qwen at Alibaba and was a founding member of Tencent Hunyuan, and he earned a PhD in natural language processing from Peking University.

Junxian He is an assistant professor in computer science and engineering at the Hong Kong University of Science and Technology. His public homepage and Princeton profile say he works at the intersection of natural language processing and machine learning, focusing on scalable methods for language model training and reasoning, completed a PhD in computer science at Princeton University in 2024, and previously earned bachelor's degrees in economics and computer science from Peking University.

Haobin Jiang is a Peking University PhD student whose public profiles describe research in reinforcement learning, robotics, and LLM post-training.

Tenglong Ao is a computer science researcher whose public work focuses on character animation, co-speech gesture generation, music-driven dance generation, and multimodal agent behavior. Public sources indicate he received a Ph.D. in computer science from Peking University and a B.S. in electronic engineering from Tsinghua University.

Public sources connect Renrui Zhang to multimodal large language models, 3D point cloud analysis, and efficient model adaptation.

Yurui Ren is a researcher working on image/video synthesis and image enhancement. Public sources identify him as a Ph.D. student at Peking University (2017-2022), advised by Ge Li, with a B.S. from Dalian University of Technology.

Hanrong Ye is a research scientist at NVIDIA Research in Santa Clara working on multi-task, multi-media, and multimodality models for machine understanding and generation. He earned a Ph.D. from HKUST, a master's degree from Peking University, and a B.S. from Sun Yat-sen University.

Junting Lu is a final-year M.S. student at the Institute for Software Engineering, Peking University. His homepage lists research interests in tool learning, OS agents, and native vision-language agents.

Public profile information identifies Kai Hua as a researcher at ByteDance Seed with prior research experience at Kuaishou MMU and a master's background in EECS at Peking University. His listed research areas include deep learning, NLP, language modeling, and multimodal AI.

Xunhao Lai is a master's student at Peking University working on natural language processing and large language models, with a focus on long-context modeling and efficient attention.

Jiazhan Feng is a Research Scientist at ByteDance Seed. Public profiles describe his research around multimodal agents, large language models, and dialogue systems, and list prior PhD training at Peking University with a visiting student period at the University of Oxford.

Yantao Du is a researcher at Seed, ByteDance. Public sources link earlier work in dependency parsing with more recent large language model research.

ByteDance researcher working on high-performance inference systems, AI compilers, and distributed systems; completed a PhD in computer science at Peking University in 2024.

Public OpenReview and DBLP records link Ruofei Zhu to 2025 ByteDance reinforcement-learning work on LLMs, including DAPO, VAPO, and Seed1.5-Thinking. OpenReview also lists an MS in Software Engineering from Peking University.

Ya Wang is publicly listed as affiliated with ByteDance Seed in Beijing. A disambiguated dblp profile also lists prior affiliation with Tencent's Machine Learning Platform Department and a PhD completed in 2021 at Peking University's School of Mathematical Sciences (LMAM).

Chenxiao Liu is an MS student at Peking University whose public OpenReview profile lists publications in code intelligence, source-code QA, and LLM evaluation, including collaboration with ByteDance researchers on EvaLearn.

Public sources identify this Wenqi Wang as a ByteDance researcher and a former M.S. student at Peking University (2021-2024) with NLP expertise.

OpenReview lists Yuntao Li as a Researcher at ByteDance Inc. and a PhD student at Peking University from 2017 to 2022.

Niklas Muennighoff researches language models and evaluation at Stanford and has publicly led open-model work including OLMoE.

Eric P. Xing

Junyang Lin

Jiuzheng Wang

Ke Ye

Tianyu Liu

Junxian He

Haobin Jiang

Tenglong Ao

Renrui Zhang

Yurui Ren

Hanrong Ye

Junting Lu

Kai Hua

Xunhao Lai

Jiazhan Feng

Yantao Du

Size Zheng

Ruofei Zhu

Ya Wang

Chenxiao Liu

Wenqi Wang

Yuntao Li

Niklas Muennighoff