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Mingchen Zhuge is a Ph.D. Student in Computer Science in the Computer, Electrical and Mathematical Sciences and Engineering department.
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Nov 2025 — Jun 2026
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- research1
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Positive 100%
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Most recent firstArticles Written
Mingchen Zhuge as author
Mixture of States: Routing Token-Level Dynamics for Multimodal Generation
arXivresearchpositiveNov 23, 2025
Mixture of States (MoS) introduces a token-wise router for multimodal diffusion models that achieves state-of-the-art text-to-image generation and editing with 3B-5B parameters, matching models 4× larger while requiring minimal computational overhead.
“Author of "Mixture of States: Routing Token-Level Dynamics for Multimodal Generation" on arXiv”
Multimodal AIGenerative AIComputer VisionFoundation Models
Also Mentioned In
Referenced in coverage
How Chinese Researchers Plan to Build Self-Improving AI
Recode China AIcautiousJun 24, 2026
“Earned PhD at KAUST under Jürgen Schmidhuber, recently moved to Silicon Valley as founding member of Recursive Intelligence, authored 2024 MetaGPT paper, primary organizer of ICLR 2026 RSI Workshop.”
Neural Computer: A New Machine Form Is Emerging
Mingchen Zhuge BlogcautiousMay 11, 2026
“Published research essay on Neural Computers exploring how AI systems might become a new machine form.”
Neural Computers
Meta AI, KAUST, and CollaboratorscautiousApr 12, 2026
“Lead author of Neural Computers paper proposing unified computation, memory, and I/O in learned model state.”