Zihao Peng — accepted AI-conference papers

2026

HiLoRA: Hierarchical Low-Rank Adaptation for Personalized Federated Learning

Zihao Peng, Nan Zou, Jiandian Zeng, Guo Li, Ke Chen, Boyuan Li +1

CVPR 2026

Vision Transformers (ViTs) have been widely adopted in vision tasks due to their strong transferability. In Federated Learning (FL), where full fine-tuning is communication-heavy, Low-Rank Adaptation (LoRA) provides an efficient and communication-friendly way to adapt ViTs. However, existing LoRA-ba

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2026

MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios

Guo Li, Jiandian Zeng, Yang Li, Zihao Peng, Ke Chen, Tian Wang

IJCAI 2026

Deploying Video Anomaly Detection (VAD) in real-world surveillance faces a fundamental tension between the demand for high-level semantics to ensure effectiveness and the limited computational resources of edge devices. Vision–Language Models (VLMs) provide rich open-vocabulary semantics, but their

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