Author

Zezhen Ding

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Preprint Sep 2026

AdaHVLA: Adaptive Harnesses for Long-Horizon Vision-Language-Action Execution

Vision-language-action (VLA) models offer strong local control and instruction following but often struggle with long-horizon tasks requiring persistent memory and planning. Task harnesses provide persistent context for agent reasoning by retaining task history and tracking progress across execution stages. To bring th...

Jun-Yi Tang, Jie Peng, Ze-Zhen Ding et al. · 0 citations

#machine learning Conference Open access Sep 2026

Learning to Price and Stock Under Contextual and Censored Demand

To make optimal joint pricing and inventory control decisions is a critical challenge for modern retailers. In practice, retailers face changing market conditions where demands are influenced by various contextual factors, while simultaneously dealing with the difficulty of lost sales that obscure true demand informati...

Ze-An Han, Ze-Zhen Ding, Ji-Heng Zhang · Proceedings of the Thirty-Fi... · 0 citations

#machine learning Preprint Aug 2026

Nonparametric Contextual Pricing and Inventory Learning under Censored Demand

A Mean-Calibrated Kernel UCB (MCK-UCB) algorithm is proposed that turns each incomplete sales record into a reliable guide for both inventory and price decisions, using data from past rounds with similar market conditions.

Ze-An Han, Jing Liang, Ruihan Lin et al. · 0 citations