Zobrazeno 1 - 10
of 1 605
pro vyhledávání: '"ZHAO, Jinhua"'
Autor:
Tang, Yihong, Qu, Ao, Wang, Zhaokai, Zhuang, Dingyi, Wu, Zhaofeng, Ma, Wei, Wang, Shenhao, Zheng, Yunhan, Zhao, Zhan, Zhao, Jinhua
Vision language models (VLMs) have demonstrated impressive performance across a wide range of downstream tasks. However, their proficiency in spatial reasoning remains limited, despite its crucial role in tasks involving navigation and interaction wi
Externí odkaz:
http://arxiv.org/abs/2410.16162
Graph Neural Networks deliver strong classification results but often suffer from poor calibration performance, leading to overconfidence or underconfidence. This is particularly problematic in high stakes applications where accurate uncertainty esti
Externí odkaz:
http://arxiv.org/abs/2410.09570
Quantifying uncertainty is crucial for robust and reliable predictions. However, existing spatiotemporal deep learning mostly focuses on deterministic prediction, overlooking the inherent uncertainty in such prediction. Particularly, highly-granular
Externí odkaz:
http://arxiv.org/abs/2409.08766
This study addresses the problem of convolutional kernel learning in univariate, multivariate, and multidimensional time series data, which is crucial for interpreting temporal patterns in time series and supporting downstream machine learning tasks.
Externí odkaz:
http://arxiv.org/abs/2409.01362
Autor:
Zhuang, Dingyi, Wang, Qingyi, Zheng, Yunhan, Guo, Xiaotong, Wang, Shenhao, Koutsopoulos, Haris N, Zhao, Jinhua
Transportation mode share analysis is important to various real-world transportation tasks as it helps researchers understand the travel behaviors and choices of passengers. A typical example is the prediction of communities' travel mode share by acc
Externí odkaz:
http://arxiv.org/abs/2405.14079
Autor:
Guo, Xiaotong, Zhao, Jinhua
This paper addresses the pressing challenge of urban mobility in the context of growing urban populations, changing demand patterns for urban mobility, and emerging technologies like Mobility-on-Demand (MoD) platforms and Autonomous Vehicle (AV). As
Externí odkaz:
http://arxiv.org/abs/2404.05885
The best way to treat chronic hepatitis B is with pegylated interferon alone or with oral antiviral drugs. There is limited research comparing the renal safety of entecavir and tenofovir when used with pegylated interferon. This study will compare ch
Externí odkaz:
http://arxiv.org/abs/2403.02361
Autor:
Tang, Yihong, Wang, Zhaokai, Qu, Ao, Yan, Yihao, Wu, Zhaofeng, Zhuang, Dingyi, Kai, Jushi, Hou, Kebing, Guo, Xiaotong, Zhao, Jinhua, Zhao, Zhan, Ma, Wei
Citywalk, a recently popular form of urban travel, requires genuine personalization and understanding of fine-grained requests compared to traditional itinerary planning. In this paper, we introduce the novel task of Open-domain Urban Itinerary Plann
Externí odkaz:
http://arxiv.org/abs/2402.07204
Discrete choice models (DCMs) are the canonical methods for travel behavior modeling and prediction. However, in many scenarios, the collected data for DCMs are subject to measurement errors. Previous studies on measurement errors mostly focus on "be
Externí odkaz:
http://arxiv.org/abs/2401.03276
The rapid growth of the ride-hailing industry has revolutionized urban transportation worldwide. Despite its benefits, equity concerns arise as underserved communities face limited accessibility to affordable ride-hailing services. A key issue in thi
Externí odkaz:
http://arxiv.org/abs/2401.00093