3 citations · 3 across the 4 of their papers we have counts for
4 papers
Jodi: Unification of Visual Generation and Understanding via Joint Modeling
Yifeng Xu, Zhenliang He, Meina Kan +2
Visual generation and understanding are two deeply interconnected aspects of human intelligence, yet they have been traditionally treated as separate tasks in machine learning. In…
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
Xinyu Ma, Yifeng Xu, Yang Lin +5
We introduce DRESS, a novel approach for generating stylized large language model (LLM) responses through representation editing. Existing methods like prompting and fine-tuning ar…
CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
Yifeng Xu, Zhenliang He, Shiguang Shan +1
Recently, large-scale diffusion models have made impressive progress in text-to-image (T2I) generation. To further equip these T2I models with fine-grained spatial control, approac…
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data
Shaoming Duan, Chuanyi Liu, Peiyi Han +3
Non-independent and identically distributed (non-IID) data is a key challenge in federated learning (FL), which usually hampers the optimization convergence and the performance of…