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Jie Zhou

Public report authorship links Jie Zhou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.

Researcher at MiniMax.4 organizations5 reports

Profile status: updated

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Trust signals

Profile completeness51%
Public sources2
Official sources0
Last reviewedJun 8, 2026
Structured work
updated 2 public sources
large language modelsreasoning modelsreport_author

Current frame

Researcher at MiniMax.

Work

MiniMax Role not listed

Organizations

core DeepSeek core Moonshot AI core MiniMax extended NVIDIA

Reports

Multimodal Large Language Models Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling Large Language Models Kimi k1.5: Scaling Reinforcement Learning with LLMs Large Language Models MiniMax-01: Scaling Foundation Models with Lightning Attention Reasoning Large Language Models MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention Large Language Models Nemotron-4 340B Technical Report

Supporting sources

MiniMax-01: Scaling Foundation Models with Lightning Attention Supporting source · report · arXiv MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention Supporting source · report · arXiv

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