1 citations · 1 across the 5 of their papers we have counts for
5 papers
AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate
Siyuan Wen, Jiahao Zeng, Ningning Ding
Diffusion unlearning is essential for mitigating the generation of harmful or copyrighted content in text-to-image models. Current diffusion unlearning techniques determine the mod…
Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning
Jiahao Zeng, Ming Tang, Ningning Ding
Large language models (LLMs) present a trade-off between performance and cost, where more powerful models incur greater expense. LLM routing aims to mitigate expenses while maintai…
Digital Twin-Enabled Mobility-Aware Cooperative Caching in Vehicular Edge Computing
Jiahao Zeng, Zhenkui Shi, Chunpei Li +5
With the advancement of vehicle-to-vehicle (V2V) ad hoc networks and wireless communication technologies, mobile edge caching has become a key enabler for enhancing network perform…
Personalized federated prototype learning in mixed heterogeneous data scenarios
Jiahao Zeng, Wolong Xing, Liangtao Shi +4
Federated learning has received significant attention for its ability to simultaneously protect customer privacy and leverage distributed data from multiple devices for model train…
Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs
Shan Zhong, Jiahao Zeng, Yongxin Yu +1
This paper proposes a Clustering, Labeling, then Augmenting framework that significantly enhances performance in Semi-Supervised Text Classification (SSTC) tasks, effectively addre…