Zobrazeno 1 - 10
of 11 916
pro vyhledávání: '"Fan, Wei"'
Autor:
Xing, Yan, Xu, Qi'ao, Zeng, Jingcheng, Huang, Rui, Gao, Sihua, Xu, Weifeng, Zhang, Yuxiang, Fan, Wei
Semi-supervised change detection (SSCD) utilizes partially labeled data and a large amount of unlabeled data to detect changes. However, the transformer-based SSCD network does not perform as well as the convolution-based SSCD network due to the lack
Externí odkaz:
http://arxiv.org/abs/2409.15021
Spatio-temporal time series forecasting plays a critical role in various real-world applications, such as transportation optimization, energy management, and climate analysis. The recent advancements in Pre-trained Language Models (PLMs) have inspire
Externí odkaz:
http://arxiv.org/abs/2408.14505
Autor:
Li, Haoran, Fan, Wei, Chen, Yulin, Cheng, Jiayang, Chu, Tianshu, Zhou, Xuebing, Hu, Peizhao, Song, Yangqiu
Privacy research has attracted wide attention as individuals worry that their private data can be easily leaked during interactions with smart devices, social platforms, and AI applications. Computer science researchers, on the other hand, commonly s
Externí odkaz:
http://arxiv.org/abs/2408.10053
Hybrid Reinforcement Learning (RL), where an agent learns from both an offline dataset and online explorations in an unknown environment, has garnered significant recent interest. A crucial question posed by Xie et al. (2022) is whether hybrid RL can
Externí odkaz:
http://arxiv.org/abs/2408.04526
Autor:
Yim, Yauwai, Chan, Chunkit, Shi, Tianyu, Deng, Zheye, Fan, Wei, Zheng, Tianshi, Song, Yangqiu
Large language models (LLMs) have shown success in handling simple games with imperfect information and enabling multi-agent coordination, but their ability to facilitate practical collaboration against other agents in complex, imperfect information
Externí odkaz:
http://arxiv.org/abs/2408.02559
We present an autonomous exploration system for efficient coverage of unknown environments. First, a rapid environment preprocessing method is introduced to provide environmental information for subsequent exploration planning. Then, the whole explor
Externí odkaz:
http://arxiv.org/abs/2407.11326
Rapid sampling from the environment to acquire available frontier points and timely incorporating them into subsequent planning to reduce fragmented regions are critical to improve the efficiency of autonomous exploration. We propose HPHS, a fast and
Externí odkaz:
http://arxiv.org/abs/2407.10660
Tabular data have been playing a mostly important role in diverse real-world fields, such as healthcare, engineering, finance, etc. With the recent success of deep learning, many tabular machine learning (ML) methods based on deep networks (e.g., Tra
Externí odkaz:
http://arxiv.org/abs/2407.05364
While most time series are non-stationary, it is inevitable for models to face the distribution shift issue in time series forecasting. Existing solutions manipulate statistical measures (usually mean and std.) to adjust time series distribution. How
Externí odkaz:
http://arxiv.org/abs/2407.00502
Privacy issues arise prominently during the inappropriate transmission of information between entities. Existing research primarily studies privacy by exploring various privacy attacks, defenses, and evaluations within narrowly predefined patterns, w
Externí odkaz:
http://arxiv.org/abs/2406.11149