4 papers
Seq103: A Unified Neuroevolution Framework for Compact Sequence Architecture Discovery
Wenxiao Li, Yongjian Liu, Qing Xie
Neuroevolution is a representative neural architecture search paradigm that evolves both network topology and weights through evolutionary algorithms. In this paper, we propose Seq…
Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement
Yuhan Wang, Qing Xie, Zhifeng Bao +3
Cross-domain recommendation (CDR) aims to alleviate the data sparsity by transferring knowledge across domains. Disentangled representation learning provides an effective solution…
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation
Jiachen Li, Qing Xie, Renshu Gu +3
Zero-shot referring image segmentation aims to locate and segment the target region based on a referring expression, with the primary challenge of aligning and matching semantics a…
Stealthy and Robust Backdoor Attack against 3D Point Clouds through Additional Point Features
Xiaoyang Ning, Qing Xie, Jinyu Xu +3
Recently, 3D backdoor attacks have posed a substantial threat to 3D Deep Neural Networks (3D DNNs) designed for 3D point clouds, which are extensively deployed in various security-…