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MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Reasoning Large Language Models report from MiniMax with 144 connected researchers in the LLMpeople atlas.
Connected researchers
Researcher
6 reports
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.
Researcher
23 reports
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.
Researcher
4 reports
Yang Yue
MiniMax / Moonshot AI
Researcher at Moonshot AI and co-author of the Kimi K2.5 report on visual agentic intelligence.
Researcher
2 reports
Xiangyu Zhao
MiniMax / Moonshot AI
Researcher at Moonshot AI and co-author of the Kimi K2.5 report on visual agentic intelligence.
Researcher
3 reports
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.
Researcher
2 reports
Chunlin Li
MiniMax
Chunlin Li is a research scientist at MiniMax.
Researcher
2 reports
Xibin Wu
MiniMax
Public report authorship links Xibin Wu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
3 reports
Qingyang Ge
MiniMax
Public report authorship links Qingyang Ge to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
3 reports
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.
Researcher
2 reports
Yuzeng Li
MiniMax
Public report authorship links Yuzeng Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
3 reports
Jinyuan Jia
MiniMax
Researcher working on speech and multimodal language models, including MiniMax-Speech and related speech understanding work.
Researcher
2 reports
Wenbo Bi
MiniMax
Public report authorship links Wenbo Bi to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
3 reports
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.
Researcher
5 reports
Jie Zhou
DeepSeek / MiniMax
Public report authorship links Jie Zhou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
1 reports
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.
Researcher
2 reports
Shang Yang
DeepSeek / MiniMax
Public report authorship links Shang Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
1 reports
Zeyu Wang
MiniMax
Public report authorship links Zeyu Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
1 reports
Zheng Wang
MiniMax
Public report authorship links Zheng Wang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
1 reports
Weiran Huang
MiniMax
Researcher focused on reinforcement learning and multimodal foundation models; arXiv author results include the MiniMax-M1 paper.
Researcher
1 reports
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.
Researcher
1 reports
Yuxiang Zheng
MiniMax
Public report authorship links Yuxiang Zheng to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
1 reports
Jiahan Xu
MiniMax
Researcher working on efficient large language models and reasoning systems, including MiniMax-M1.
Researcher
1 reports
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.
Researcher
3 reports
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.