2 citations · 3 across the 5 of their papers we have counts for
9 papers
Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion
Yi Zhou, Xuechao Zou, Shun Zhang +7
Semi-supervised remote sensing (RS) image semantic segmentation offers a promising solution to alleviate the burden of exhaustive annotation, yet it fundamentally struggles with ps…
MDiffFR: Modality-Guided Diffusion Generation for Cold-start Items in Federated Recommendation
Kang Fu, Honglei Zhang, Xuechao Zou +1
Federated recommendations (FRs) provide personalized services while preserving user privacy by keeping user data on local clients, which has attracted significant attention in rece…
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation
Xuechao Zou, Shun Zhang, Xing Fu +6
Controllable face generation poses critical challenges in generative modeling due to the intricate balance required between semantic controllability and photorealism. While existin…
AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models
Kai Li, Can Shen, Yile Liu +31
The rapid development and widespread adoption of Audio Large Language Models (ALLMs) demand rigorous evaluation of their trustworthiness. However, existing evaluation frameworks ar…
Dynamic Dictionary Learning for Remote Sensing Image Segmentation
Xuechao Zou, Yue Li, Shun Zhang +5
Remote sensing image segmentation faces persistent challenges in distinguishing morphologically similar categories and adapting to diverse scene variations. While existing methods…
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation
Shun Zhang, Xuechao Zou, Kai Li +4
Fine-grained remote sensing image segmentation is essential for accurately identifying detailed objects in remote sensing images. Recently, vision transformer models (VTMs) pre-tra…