Atlas / Fields / Detail
Reasoning Large Language Models
Researchers connected to this field in the public atlas.
Benyou Wang
MiniMax
Benyou Wang is an assistant professor at the Chinese University of Hong Kong, Shenzhen. His official school profile lists academic areas in artificial intelligence, computer science, and speech and natural language processing, and his personal homepage says he leads the CUHKSZ LLM group after earning a Ph.D. in information engineering from the University of Padua plus earlier degrees from Tianjin University and Hubei University of Automotive Technology.
Jifeng Dai
DeepSeek / MiniMax
Jifeng Dai is a tenured associate professor in the Department of Electronic Engineering at Tsinghua University. His homepage says his current research focuses on agentic AI and continual learning, and lists prior roles at Shanghai AI Lab, SenseTime Research, and Microsoft Research Asia.
Binyuan Hui
DeepSeek / MiniMax
Staff research scientist at Alibaba's Qwen Team and initiator of OpenDevin, focused on foundation models, reasoning models, coding agents, and computer-use agents.
Wenchao Zhou
MiniMax
Public profiles describe Wenchao Zhou as Director of Data Product and Data Analytics at Alibaba Cloud Intelligence and a former tenured computer science faculty member at Georgetown University. His work centers on databases and distributed systems.
Jingren Zhou
MiniMax / Moonshot AI
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.
Chunlin Li
MiniMax
Chunlin Li is a research scientist at MiniMax.
Jie Zhou
DeepSeek / MiniMax
Public report authorship links Jie Zhou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yang Yue
MiniMax / Moonshot AI
Researcher at Moonshot AI and co-author of the Kimi K2.5 report on visual agentic intelligence.
Qingyang Ge
MiniMax
Public report authorship links Qingyang Ge to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jinyuan Jia
MiniMax
Researcher working on speech and multimodal language models, including MiniMax-Speech and related speech understanding work.
Ming Ding
MiniMax
Lead of foundation models at MiniMax working on large language models, multimodal pretraining, and efficient training systems. He completed a PhD in computer science at Tsinghua University.
Yusheng Zhao
MiniMax
Research scientist at MiniMax AI Research focused on reinforcement learning, reasoning, multimodal learning, large language models, and large-scale distributed systems. He received a PhD in machine learning from Carnegie Mellon University.
Dejiang Dou
MiniMax
Public report authorship links Dejiang Dou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Haolin Jia
MiniMax
Public report authorship links Haolin Jia to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jiale Zhi
MiniMax
Public report authorship links Jiale Zhi to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jian Ma
MiniMax
Public report authorship links Jian Ma to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Kaixin Yang
MiniMax
Public report authorship links Kaixin Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Peiyi Wang
MiniMax
Public report authorship links Peiyi Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Qianlin Peng
MiniMax
Public report authorship links Qianlin Peng to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Shang Yang
DeepSeek / MiniMax
Public report authorship links Shang Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Siyuan Fan
MiniMax
Public report authorship links Siyuan Fan to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Wenbo Bi
MiniMax
Public report authorship links Wenbo Bi to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xiao Liu
MiniMax
Public report authorship links Xiao Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xiaoyi Wang
MiniMax
Public report authorship links Xiaoyi Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xibin Wu
MiniMax
Public report authorship links Xibin Wu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yali Wang
MiniMax
Public report authorship links Yali Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yifei Lu
MiniMax
Public report authorship links Yifei Lu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yingjie Li
MiniMax
Public report authorship links Yingjie Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yu Liu
MiniMax
Public report authorship links Yu Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yuzeng Li
MiniMax
Public report authorship links Yuzeng Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yu Zhou
MiniMax
Public report authorship links Yu Zhou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xiangyu Zhao
MiniMax / Moonshot AI
Researcher at Moonshot AI and co-author of the Kimi K2.5 report on visual agentic intelligence.
Boyi Liu
MiniMax
Public report authorship links Boyi Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xi Wang
MiniMax
Public report authorship links Xi Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Aonian Li
MiniMax
Public report authorship links Aonian Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Baihui Peng
MiniMax
Public report authorship links Baihui Peng to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Bairu Qiao
MiniMax
Public report authorship links Bairu Qiao to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Beihong Jin
MiniMax
Public report authorship links Beihong Jin to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Bowen Wang
MiniMax
Public report authorship links Bowen Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Changhao Li
MiniMax
Public report authorship links Changhao Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Chi Han
MiniMax
Public report authorship links Chi Han to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Chuanliang Liu
MiniMax
Public report authorship links Chuanliang Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Dan Qu
MiniMax
Public report authorship links Dan Qu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Delin Ouyang
MiniMax
Public report authorship links Delin Ouyang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Delong Zhu
MiniMax
Public report authorship links Delong Zhu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Deyi Xiao
MiniMax
Public report authorship links Deyi Xiao to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Dongsheng Wang
MiniMax
Public report authorship links Dongsheng Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Enzhi Wang
MiniMax
Public report authorship links Enzhi Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Fan Zhang
MiniMax
Public report authorship links Fan Zhang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Fan Zhou
MiniMax
Public report authorship links Fan Zhou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Fei Xiao
MiniMax
Public report authorship links Fei Xiao to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Feng Zheng
MiniMax
Public report authorship links Feng Zheng to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Guangxin Li
MiniMax
Public report authorship links Guangxin Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Guoan Huang
MiniMax
Public report authorship links Guoan Huang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Guoliang Ma
MiniMax
Public report authorship links Guoliang Ma to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Haiyang Xu
MiniMax
Public report authorship links Haiyang Xu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Hewei Cui
MiniMax
Public report authorship links Hewei Cui to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Huan Yang
MiniMax
Public report authorship links Huan Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jiacheng Chen
MiniMax
Public report authorship links Jiacheng Chen to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jiale Shi
MiniMax
Public report authorship links Jiale Shi to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jiaming Wang
MiniMax
Public report authorship links Jiaming Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jiayi Gao
MiniMax
Public report authorship links Jiayi Gao to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jienan Yang
MiniMax
Public report authorship links Jienan Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jindong Wang
MiniMax
Public report authorship links Jindong Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jingjing Chen
MiniMax
Public report authorship links Jingjing Chen to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jinhua Cheng
MiniMax
Public report authorship links Jinhua Cheng to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Junjie Song
MiniMax
Public report authorship links Junjie Song to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Junjun He
MiniMax
Public report authorship links Junjun He to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Kai Liu
MiniMax
Public report authorship links Kai Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Kaiwei Shi
MiniMax
Public report authorship links Kaiwei Shi to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Kai Xie
MiniMax
Public report authorship links Kai Xie to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Kangyu Peng
MiniMax
Public report authorship links Kangyu Peng to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Kelei Chen
MiniMax
Public report authorship links Kelei Chen to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Kewen Jia
MiniMax
Public report authorship links Kewen Jia to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Kexiang Hong
MiniMax
Public report authorship links Kexiang Hong to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Lianjun Gao
MiniMax
Public report authorship links Lianjun Gao to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Li Dong
MiniMax
Public report authorship links Li Dong to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Limin Xiao
MiniMax
Public report authorship links Limin Xiao to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Liyuan Liu
MiniMax
Public report authorship links Liyuan Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Mingzhe Wang
MiniMax
Public report authorship links Mingzhe Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Nian Li
MiniMax
Public report authorship links Nian Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Ningning Guo
MiniMax
Public report authorship links Ningning Guo to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Pengchen Jiang
MiniMax
Public report authorship links Pengchen Jiang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Pengfei He
MiniMax
Public report authorship links Pengfei He to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Qianqian Zhang
MiniMax
Public report authorship links Qianqian Zhang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Qi Hu
MiniMax
Public report authorship links Qi Hu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Qunxi Wang
MiniMax
Public report authorship links Qunxi Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Ruimin Lv
MiniMax
Public report authorship links Ruimin Lv to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Shan Xiang
MiniMax
Public report authorship links Shan Xiang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Shengkun Xie
MiniMax
Public report authorship links Shengkun Xie to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Shengtao Gao
MiniMax
Public report authorship links Shengtao Gao to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Shibin Wang
MiniMax
Public report authorship links Shibin Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Shiyue Wang
MiniMax
Public report authorship links Shiyue Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Shubing Xu
MiniMax
Public report authorship links Shubing Xu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Shuchang Zhou
MiniMax
Public report authorship links Shuchang Zhou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Shuming Ma
MiniMax
Public report authorship links Shuming Ma to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Siheng Wei
MiniMax
Public report authorship links Siheng Wei to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Sizhe Zheng
MiniMax
Public report authorship links Sizhe Zheng to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Songfang Huang
MiniMax
Public report authorship links Songfang Huang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Tao Wang
MiniMax
Public report authorship links Tao Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Tianyu Hu
MiniMax
Public report authorship links Tianyu Hu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Wanqi Pang
MiniMax
Public report authorship links Wanqi Pang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Wei Liao
MiniMax
Public report authorship links Wei Liao to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Wei Tan
MiniMax
Public report authorship links Wei Tan to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Wenlong Liu
MiniMax
Public report authorship links Wenlong Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xianbiao Qi
MiniMax
Public report authorship links Xianbiao Qi to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xianbin Li
MiniMax
Public report authorship links Xianbin Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xiaochuan Wan
MiniMax
Public report authorship links Xiaochuan Wan to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xiaomin Wang
MiniMax
Public report authorship links Xiaomin Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xiaotong Zhang
MiniMax
Public report authorship links Xiaotong Zhang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xinglong Yang
MiniMax
Public report authorship links Xinglong Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xingxing Zhang
MiniMax
Public report authorship links Xingxing Zhang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Xulong Zhang
MiniMax
Public report authorship links Xulong Zhang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Ya Li
MiniMax
Public report authorship links Ya Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yang You
MiniMax
Public report authorship links Yang You to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yanran Yang
MiniMax
Public report authorship links Yanran Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yaojie Lu
MiniMax
Public report authorship links Yaojie Lu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yi Dong
MiniMax
Public report authorship links Yi Dong to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yiqun Duan
MiniMax
Public report authorship links Yiqun Duan to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yi Zhou
MiniMax
Public report authorship links Yi Zhou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yujia Qin
MiniMax
Public report authorship links Yujia Qin to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yuxiang Zheng
MiniMax
Public report authorship links Yuxiang Zheng to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Yuxuan Xu
MiniMax
Public report authorship links Yuxuan Xu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zewen Yang
MiniMax
Public report authorship links Zewen Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zeyu Wang
MiniMax
Public report authorship links Zeyu Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zhaoshi Wang
MiniMax
Public report authorship links Zhaoshi Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zhe Liu
MiniMax
Public report authorship links Zhe Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zhengang Li
MiniMax
Public report authorship links Zhengang Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zheng Lin
MiniMax
Public report authorship links Zheng Lin to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zhenglun Kong
MiniMax
Public report authorship links Zhenglun Kong to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zhengrong Li
MiniMax
Public report authorship links Zhengrong Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zheng Wang
MiniMax
Public report authorship links Zheng Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zhenrun Lin
MiniMax
Public report authorship links Zhenrun Lin to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zhenru Wang
MiniMax
Public report authorship links Zhenru Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zhen Xu
MiniMax
Public report authorship links Zhen Xu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Zhen Yang
MiniMax
Public report authorship links Zhen Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Jiahan Xu
MiniMax
Researcher working on efficient large language models and reasoning systems, including MiniMax-M1.
Weiran Huang
MiniMax
Researcher focused on reinforcement learning and multimodal foundation models; arXiv author results include the MiniMax-M1 paper.
Xianxin Lin
MiniMax
Research scientist at MiniMax AI Research focused on large language models, reinforcement learning, and AI for science. He received a PhD from Peking University and has published at NeurIPS, ICML, ICLR, AAAI, and IJCAI.
Yefeng Zheng
MiniMax
Research scientist at MiniMax AI Research focused on AI for science, large language models, and deep generative models. He received a PhD from Stanford University and a bachelor's degree in computer science from Rice University.
Zhihao Wu
MiniMax
Research scientist at MiniMax AI Research focused on multimodal large language models, AI agents, and reasoning. He previously worked on multimodal understanding and generation and holds a master's degree from Tsinghua University.