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Yuanqing Wang

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RLinf: Flexible and Efficient Large-Scale Reinforcement Learning...20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26)2026-07-13
RLinf is a distributed RL training system that implements macro-to-micro flow transformation to break high-level workflows into optimized execution flows; it…
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DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26)2026-07-13
DynaRL claims a system that reclaims idle GPUs and reallocates them online using a dynamic hypergraph + a unified interrupt and migrate APIs, with three…
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Using Graph Nets (GNs) to predict molecular propertiesPyData New York City 20192019-11-04
Graph Nets are applied to molecular graphs and claim to approximate per-atom, per-bond and per-molecule quantum properties with errors within QM uncertainty…
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