Zobrazeno 1 - 10
of 4 568
pro vyhledávání: '"Tan, Ying"'
Autor:
Yan, Wenbo, Tan, Ying
Spatial-temporal graph neural networks (STGNNs) have achieved significant success in various time series forecasting tasks. However, due to the lack of explicit and fixed spatial relationships in stock prediction tasks, many STGNNs fail to perform ef
Externí odkaz:
http://arxiv.org/abs/2409.15662
Autor:
Yan, Jipeng, Kawara, Shusei, Tan, Qingyuan, Zhu, Jingwen, Wang, Bingxue, Toulemonde, Matthieu, Liu, Honghai, Tan, Ying, Tang, Meng-Xing
Super-Resolution Ultrasound (SRUS) imaging through localising and tracking microbubbles, also known as Ultrasound Localisation Microscopy (ULM), has demonstrated significant potential for reconstructing microvasculature and flows with sub-diffraction
Externí odkaz:
http://arxiv.org/abs/2409.11391
Schizophrenia is a serious psychiatric disorder. Its pathogenesis is not completely clear, making it difficult to treat patients precisely. Because of the complicated non-Euclidean network structure of the human brain, learning critical information f
Externí odkaz:
http://arxiv.org/abs/2408.13830
Autor:
Yan, Wenbo, Tan, Ying
Recently, the incorporation of both temporal features and the correlation across time series has become an effective approach in time series prediction. Spatio-Temporal Graph Neural Networks (STGNNs) demonstrate good performance on many Temporal-corr
Externí odkaz:
http://arxiv.org/abs/2407.18519
Autor:
Tuo, Youli, Li, Xiaobo, Tan, Ying, Wu, Baiyang, Jiang, Weichun, Song, Liming, Qu, Jinlu, Gogate, Sudeep, Zhang, Shuang-Nan, Santangelo, Andrea
Dead time is a common instrumental effect of X-ray detectors which would alter the behavior of timing properties of astronomical signals, such as distorting the shape of power density spectra (PDS), affecting the root-mean-square of potential quasi-p
Externí odkaz:
http://arxiv.org/abs/2407.07807
In this paper, the resilient control for switched systems in the presence of deception attack and denial-of-service (DoS) attack is addressed. Due to the interaction of two kinds of attacks and the asynchronous phenomenon of controller mode and subsy
Externí odkaz:
http://arxiv.org/abs/2405.06165
Parameter-efficient tuning methods such as LoRA could achieve comparable performance to model tuning by tuning a small portion of the parameters. However, substantial computational resources are still required, as this process involves calculating gr
Externí odkaz:
http://arxiv.org/abs/2403.01754
Few-shot-learning (FSL) commonly requires a model to identify images (queries) that belong to classes unseen during training, based on a few labeled samples of the new classes (support set) as reference. So far, plenty of algorithms involve training
Externí odkaz:
http://arxiv.org/abs/2402.18292
Large Language Models (LLMs) have demonstrated remarkable performance across diverse tasks and exhibited impressive reasoning abilities by applying zero-shot Chain-of-Thought (CoT) prompting. However, due to the evolving nature of sentence prefixes d
Externí odkaz:
http://arxiv.org/abs/2402.05376
This paper proposes a novel multi-objective control framework for linear time-invariant systems in which performance and robustness can be achieved in a complementary way instead of trade-off. In particular, a state-space solution is first establishe
Externí odkaz:
http://arxiv.org/abs/2312.09521