Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Zhu, Yuanshao"'
Human trajectory modeling is essential for deciphering movement patterns and supporting advanced applications across various domains. However, existing methods are often tailored to specific tasks and regions, resulting in limitations related to task
Externí odkaz:
http://arxiv.org/abs/2411.03859
Autor:
Liu, Qidong, Wu, Xian, Wang, Wanyu, Wang, Yejing, Zhu, Yuanshao, Zhao, Xiangyu, Tian, Feng, Zheng, Yefeng
Sequential Recommender Systems (SRS) are extensively applied across various domains to predict users' next interaction by modeling their interaction sequences. However, these systems typically grapple with the long-tail problem, where they struggle t
Externí odkaz:
http://arxiv.org/abs/2409.19925
Autor:
Zhu, Yuanshao, Yu, James Jianqiao, Zhao, Xiangyu, Liu, Qidong, Ye, Yongchao, Chen, Wei, Zhang, Zijian, Wei, Xuetao, Liang, Yuxuan
Generating trajectory data is among promising solutions to addressing privacy concerns, collection costs, and proprietary restrictions usually associated with human mobility analyses. However, existing trajectory generation methods are still in their
Externí odkaz:
http://arxiv.org/abs/2404.15380
Trajectory modeling refers to characterizing human movement behavior, serving as a pivotal step in understanding mobility patterns. Nevertheless, existing studies typically ignore the confounding effects of geospatial context, leading to the acquisit
Externí odkaz:
http://arxiv.org/abs/2404.14073
Autor:
Chen, Wei, Liang, Yuxuan, Zhu, Yuanshao, Chang, Yanchuan, Luo, Kang, Wen, Haomin, Li, Lei, Yu, Yanwei, Wen, Qingsong, Chen, Chao, Zheng, Kai, Gao, Yunjun, Zhou, Xiaofang, Zheng, Yu
Trajectory computing is a pivotal domain encompassing trajectory data management and mining, garnering widespread attention due to its crucial role in various practical applications such as location services, urban traffic, and public safety. Traditi
Externí odkaz:
http://arxiv.org/abs/2403.14151
Autor:
Liu, Qidong, Wu, Xian, Zhao, Xiangyu, Zhu, Yuanshao, Zhang, Zijian, Tian, Feng, Zheng, Yefeng
The recommendation of medication is a vital aspect of intelligent healthcare systems, as it involves prescribing the most suitable drugs based on a patient's specific health needs. Unfortunately, many sophisticated models currently in use tend to ove
Externí odkaz:
http://arxiv.org/abs/2402.02803
Modeling future traffic conditions often relies heavily on complex spatial-temporal neural networks to capture spatial and temporal correlations, which can overlook the inherent noise in the data. This noise, often manifesting as unexpected short-ter
Externí odkaz:
http://arxiv.org/abs/2310.16063
The recent surge in Large Language Models (LLMs) has garnered significant attention across numerous fields. Fine-tuning is often required to fit general LLMs for a specific domain, like the web-based healthcare system. However, two problems arise dur
Externí odkaz:
http://arxiv.org/abs/2310.18339
Pervasive integration of GPS-enabled devices and data acquisition technologies has led to an exponential increase in GPS trajectory data, fostering advancements in spatial-temporal data mining research. Nonetheless, GPS trajectories contain personal
Externí odkaz:
http://arxiv.org/abs/2304.11582
In modern traffic management, one of the most essential yet challenging tasks is accurately and timely predicting traffic. It has been well investigated and examined that deep learning-based Spatio-temporal models have an edge when exploiting Spatio-
Externí odkaz:
http://arxiv.org/abs/2303.07184