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Junyou Li

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#machine learning Preprint Nov 2026

PlayGen2: Learning Real-Time Playable Worlds with Explicit 3D State

PlayGen2, a real-time interactive world model that separates learned 3D state evolution from neural rendering, is presented and zero-shot deployment on unseen Doom maps, multiplayer interaction through the composition of single-player models, and programmable gameplay through rule-based state interventions are demonstr...

Ji-Hai Zhang, Yu-Han Zhou, Jun-You Li et al. · 0 citations
#machine learning Open access Sep 2025

Unified and explainable molecular representation learning for imperfectly annotated data from the hypergraph view

OmniMol is presented, a framework using hypergraphs to improve predictions of molecular properties, addressing challenges of imperfect data annotation and enhancing model explainability, and achieves state-of-the-art performance in properties prediction.

Bowen Wang, Junyou Li, Donghao Zhou et al. · 11 citations

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