Jiarui Cao — accepted AI-conference papers

2026

PromptPilot: Game-Theoretic Multi-Agent Prompt Optimization for Segment Anything

Guangze Shi, Yingjie Mi, Jia Shen, Feixue Shao, Jiarui Cao, Yexin Lai +4

ICML 2026poster

Optimizing prompts for foundation models like SAM represents a challenging high-dimensional black-box optimization problem, fundamentally plagued by the credit assignment ambiguity. To address this, we introduce PromptPilot, a task-agnostic reinforcement learning framework that structurally decompos…

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2026

Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning

Linjie Li, Huiyu Xiao, Jiarui Cao, Zhenyu Wu, Yang Ji

CVPR 2026

Class-incremental learning (CIL) aims to continuously accumulate knowledge from a stream of tasks and construct a unified classifier over all seen classes. Although pretrained models (PTMs) have shown promising performance in CIL, they still struggle with the entanglement of multi-task subspaces, le

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