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pro vyhledávání: '"WU, Qiang"'
Adenoid hypertrophy stands as a common cause of obstructive sleep apnea-hypopnea syndrome in children. It is characterized by snoring, nasal congestion, and growth disorders. Computed Tomography (CT) emerges as a pivotal medical imaging modality, uti
Externí odkaz:
http://arxiv.org/abs/2412.00787
It is widely agreed that open-vocabulary-based approaches outperform classical closed-set training solutions for recognizing unseen objects in images for semantic segmentation. Existing open-vocabulary approaches leverage vision-language models, such
Externí odkaz:
http://arxiv.org/abs/2412.00364
Time series analysis finds wide applications in fields such as weather forecasting, anomaly detection, and behavior recognition. Previous methods attempted to model temporal variations directly using 1D time series. However, this has been quite chall
Externí odkaz:
http://arxiv.org/abs/2411.04554
We investigate strong gravitational lensing by two static black hole models (Model-1 and Model-2) within the Effective Quantum Gravity (EQG) framework, characterized by mass $M$ and parameter $\zeta$. For $\zeta = 0$, they reduce to the Schwarzschild
Externí odkaz:
http://arxiv.org/abs/2410.12382
Incremental Few-Shot Semantic Segmentation (iFSS) tackles a task that requires a model to continually expand its segmentation capability on novel classes using only a few annotated examples. Typical incremental approaches encounter a challenge that t
Externí odkaz:
http://arxiv.org/abs/2410.13094
Autor:
Wang, Yu, Xia, Shiqi, Shao, Jingbin, Xie, Qun, Yang, Donghao, Zhang, Xinzheng, Drevensek-Olenik, Irena, Wu, Qiang, Chen, Zhigang, Xu, Jingjun
Polarized topological vertical cavity surface-emitting lasers (VCSELs), as stable and efficient on-chip light sources, play an important role in the next generation of optical storage and optical communications. However, most current topological lase
Externí odkaz:
http://arxiv.org/abs/2410.12212
Cross-domain recommendation (CDR) aims to improve recommendation accuracy in sparse domains by transferring knowledge from data-rich domains. However, existing CDR methods often assume the availability of user-item interaction data across domains, ov
Externí odkaz:
http://arxiv.org/abs/2409.03294
Large language models (LLMs) and retrieval-augmented generation (RAG) techniques have revolutionized traditional information access, enabling AI agent to search and summarize information on behalf of users during dynamic dialogues. Despite their pote
Externí odkaz:
http://arxiv.org/abs/2409.00636
Cross-domain recommendation (CDR) aims to address the data-sparsity problem by transferring knowledge across domains. Existing CDR methods generally assume that the user-item interaction data is shareable between domains, which leads to privacy leaka
Externí odkaz:
http://arxiv.org/abs/2408.14689
Modeling feature interactions is crucial for click-through rate (CTR) prediction, particularly when it comes to high-order explicit interactions. Traditional methods struggle with this task because they often predefine a maximum interaction order, wh
Externí odkaz:
http://arxiv.org/abs/2408.08713