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Jung Ho Park

3 accepted papers

2026

RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing

ICML 2026poster

Ride-hailing platforms face the challenge of balancing passenger waiting times with overall system efficiency under highly uncertain supply–demand conditions. Adaptive delayed matching, which controls the holding intervals for batched sets of requests and vehicles, reveals an inherent trade-off betw…

Cited by 0SourceScholar
2025

Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation

ICLR 2025poster

Recent advances in pre-trained Vision Language Models (VLM) have shown promising potential for effectively adapting to downstream tasks through _prompt learning_, without the need for additional annotated paired datasets. To supplement the text information in VLM trained on correlations with vision…

Cited by 0SourcePDFScholar
2022

Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs

ICLR 2022poster

The discovery of the disentanglement properties of the latent space in GANs motivated a lot of research to find the semantically meaningful directions on it. In this paper, we suggest that the disentanglement property is closely related to the geometry of the latent space. In this regard, we propose…