← authors · overview

• MatterGen: a generative model for inorganic materials design
  2023 · 71 citations
• Predicting charge density distribution of materials using a local-environment-based graph convolutional network
  2019 · 62 citations
• UniGenX: a unified generative foundation model that couples sequence, structure and function to accelerate scientific design across proteins, molecules and materials
  2025 · 5 citations
• The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
  2026
• TORL-VLA: Tactile Guided Online Reinforcement Learning for Contact-Rich Manipulation
  2026
• High-Resolution Global Land Surface Temperature Retrieval via a Coupled Mechanism-Machine Learning Framework
  2025
• Viarl: Adaptive Temporal Grounding Via Visual Iterated Amplification Reinforcement Learning
  2025
• Shorten After You're Right: Lazy Length Penalties for Reasoning RL
  2025
• A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature
  2025
• Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode
  2018
• Accelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated properties
  2021
• XGen-7B Technical Report
  2023