2 citations · 2 across the 3 of their papers we have counts for
5 papers
FASA: Feedback-Aware Sampling Adaptation for Efficient Diffusion-Based VLA Models
Yuchen Han, Jianhan Wu, Xiaoyang Qu +3
Diffusion-based Vision-Language-Action (VLA) models achieve strong performance in embodied tasks, but their iterative sampling imposes heavy computational and memory-access cost, b…
MiTa: A Hierarchical Multi-Agent Collaboration Framework with Memory-integrated and Task Allocation
XiaoJie Zhang, JianHan Wu, Xiaoyang Qu +1
Recent advances in large language models (LLMs) have substantially accelerated the development of embodied agents. LLM-based multi-agent systems mitigate the inefficiency of single…
Federated Domain Generalization with Domain-specific Soft Prompts Generation
Jianhan Wu, Xiaoyang Qu, Zhangcheng Huang +1
Prompt learning has become an efficient paradigm for adapting CLIP to downstream tasks. Compared with traditional fine-tuning, prompt learning optimizes a few parameters yet yields…
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance
Jianhan Wu, Shijing Si, Jianzong Wang +1
With the rapid development of the Metaverse, virtual humans have emerged, and human image synthesis and editing techniques, such as pose transfer, have recently become popular. Mos…
Variational Information Bottleneck for Effective Low-resource Audio Classification
Shijing Si, Jianzong Wang, Huiming Sun +6
Large-scale deep neural networks (DNNs) such as convolutional neural networks (CNNs) have achieved impressive performance in audio classification for their powerful capacity and st…