Zobrazeno 1 - 10
of 746
pro vyhledávání: '"Wang, Yapeng"'
This paper considers a patrol inspection scenario where multiple unmanned aerial vehicles (UAVs) are adopted to traverse multiple predetermined cruise points for data collection. The UAVs are connected to cellular networks and they would offload the
Externí odkaz:
http://arxiv.org/abs/2411.02757
Solving optimization problems using variational algorithms stands out as a crucial application for noisy intermediate-scale devices. Instead of constructing gate-based quantum computers, our focus centers on designing variational quantum algorithms w
Externí odkaz:
http://arxiv.org/abs/2407.12636
Multi-label image classification datasets are often partially labeled where many labels are missing, posing a significant challenge to training accurate deep classifiers. However, the powerful Mixup sample-mixing data augmentation cannot be well util
Externí odkaz:
http://arxiv.org/abs/2405.15860
Autor:
Fang, Xinyi, Yang, Xu, Chong, Chak Fong, Wong, Kei Long, Wang, Yapeng, Zhang, Tiankui, Im, Sio-Kei
Accurate classification of laryngeal vascular as benign or malignant is crucial for early detection of laryngeal cancer. However, organizations with limited access to laryngeal vascular images face challenges due to the lack of large and homogeneous
Externí odkaz:
http://arxiv.org/abs/2402.19001
Autor:
Chong, Chak Fong, Fang, Xinyi, Guo, Jielong, Wang, Yapeng, Ke, Wei, Lam, Chan-Tong, Im, Sio-Kei
Large-scale image datasets are often partially labeled, where only a few categories' labels are known for each image. Assigning pseudo-labels to unknown labels to gain additional training signals has become prevalent for training deep classification
Externí odkaz:
http://arxiv.org/abs/2401.16991
Autor:
Wang, Rongsheng, Chen, Haoming, Zhou, Ruizhe, Duan, Yaofei, Cai, Kunyan, Ma, Han, Cui, Jiaxi, Li, Jian, Pang, Patrick Cheong-Iao, Wang, Yapeng, Tan, Tao
Existing research has demonstrated that refining large language models (LLMs) through the utilization of machine-generated instruction-following data empowers these models to exhibit impressive zero-shot capabilities for novel tasks, without requirin
Externí odkaz:
http://arxiv.org/abs/2312.14557
Mobile edge computing (MEC) enables low-latency and high-bandwidth applications by bringing computation and data storage closer to end-users. Intelligent computing is an important application of MEC, where computing resources are used to solve intell
Externí odkaz:
http://arxiv.org/abs/2307.03205
This paper investigates the intelligent computing task-oriented computing offloading and semantic compression in mobile edge computing (MEC) systems. With the popularity of intelligent applications in various industries, terminals increasingly need t
Externí odkaz:
http://arxiv.org/abs/2307.02747
Autor:
Cheng, Liangxiao1 (AUTHOR) chengliangxiao@chinasiwei.com, Wang, Yapeng2,3,4 (AUTHOR) wangyp@cma.gov.cn, Yan, Huanhuan2,3,4 (AUTHOR), Tao, Jinhua5 (AUTHOR) taojh@radi.ac.cn, Wang, Hongmei6 (AUTHOR) wanghongmei@ntu.edu.cn, Lin, Jun7 (AUTHOR) linjun@chinasiwei.com, Xu, Jian8 (AUTHOR) xujian@nssc.ac.cn, Chen, Liangfu5,9 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2024, Vol. 16 Issue 21, p4087. 18p.
Autor:
Wu, Chunxiang1,2 (AUTHOR) chunxiang.wu@mpu.edu.mo, Wang, Yapeng1 (AUTHOR) wke@mpu.edu.mo, Ke, Wei1 (AUTHOR) xuyang@mpu.edu.mo, Yang, Xu1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Sep2024, Vol. 12 Issue 17, p2658. 21p.