Zobrazeno 1 - 10
of 408
pro vyhledávání: '"Wei Xuetao"'
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 34, Iss 01, Pp 98-104 (2022)
ObjectiveTo carry out the theoretical risk assessment for food colorants in the National food safety standard-standards for uses of food additives (GB 2760—2014) by Budget method and deterministic assessment.MethodsBudget method was applied for cal
Externí odkaz:
https://doaj.org/article/52a154252cde4621b1049c6c1192e0b4
Federated learning (FL), integrating group fairness mechanisms, allows multiple clients to collaboratively train a global model that makes unbiased decisions for different populations grouped by sensitive attributes (e.g., gender and race). Due to it
Externí odkaz:
http://arxiv.org/abs/2410.06509
Autor:
Han, Xiao, Zhang, Zijian, Zhao, Xiangyu, Shen, Guojiang, Kong, Xiangjie, Wei, Xuetao, Nie, Liqiang, Ye, Jieping
As urban residents demand higher travel quality, vehicle dispatch has become a critical component of online ride-hailing services. However, current vehicle dispatch systems struggle to navigate the complexities of urban traffic dynamics, including un
Externí odkaz:
http://arxiv.org/abs/2408.10286
Siamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification
The Human Mobility Signature Identification (HuMID) problem stands as a fundamental task within the realm of driving style representation, dedicated to discerning latent driving behaviors and preferences from diverse driver trajectories for driver id
Externí odkaz:
http://arxiv.org/abs/2408.09230
Autor:
Xu, Lei, Chen, Yulong, Chen, Yuntian, Nie, Longfeng, Wei, Xuetao, Xue, Liang, Zhang, Dongxiao
Machine learning models offer the capability to forecast future energy production or consumption and infer essential unknown variables from existing data. However, legal and policy constraints within specific energy sectors render the data sensitive,
Externí odkaz:
http://arxiv.org/abs/2406.04743
Autor:
Jia, Pengyue, Liu, Yiding, Li, Xiaopeng, Zhao, Xiangyu, Wang, Yuhao, Du, Yantong, Han, Xiao, Wei, Xuetao, Wang, Shuaiqiang, Yin, Dawei
Worldwide geolocalization aims to locate the precise location at the coordinate level of photos taken anywhere on the Earth. It is very challenging due to 1) the difficulty of capturing subtle location-aware visual semantics, and 2) the heterogeneous
Externí odkaz:
http://arxiv.org/abs/2405.14702
DNN-based watermarking methods are rapidly developing and delivering impressive performances. Recent advances achieve resolution-agnostic image watermarking by reducing the variant resolution watermarking problem to a fixed resolution watermarking pr
Externí odkaz:
http://arxiv.org/abs/2405.08340
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
As AIGC has impacted our society profoundly in the past years, ethical issues have received tremendous attention. The most urgent one is the AIGC copyright dilemma, which can immensely stifle the development of AIGC and greatly cost the entire societ
Externí odkaz:
http://arxiv.org/abs/2402.12216
The signed distance field (SDF) represents 3D geometries in continuous function space. Due to its continuous nature, explicit 3D models (e.g., meshes) can be extracted from it at arbitrary resolution, which means losing the SDF is equivalent to losin
Externí odkaz:
http://arxiv.org/abs/2311.12059