1 code implementation • 10 Mar 2024 • Liyue Chen, Jiangyi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang
Spatio-Temporal (ST) prediction is crucial for making informed decisions in urban location-based applications like ride-sharing.
no code implementations • 5 Jun 2023 • Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang
In this paper, we propose RegionGen, a data-driven region generation framework that can specify regions with key characteristics (e. g., good spatial semantic meaning and predictability) by modeling region generation as a multi-objective optimization problem.
no code implementations • Findings (ACL) 2021 • Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang, Lei Liu
In the Chinese medical insurance industry, the assessor's role is essential and requires significant efforts to converse with the claimant.
no code implementations • 18 Jun 2019 • Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi
With the explosive growth of e-commerce and the booming of e-payment, detecting online transaction fraud in real time has become increasingly important to Fintech business.
no code implementations • Thirtieth AAAI Conference on Artificial Intelligence 2016 • Shaosheng Cao, Wei Lu, Qiongkai Xu
Different from other previous research efforts, we adopt a random surfing model to capture graph structural information directly, instead of using the sampling-based method for generating linear sequences proposed by Perozzi et al. (2014).
2 code implementations • WWW 2015 • Shaosheng Cao, Wei Lu, Qiongkai Xu
In this paper, we present {GraRep}, a novel model for learning vertex representations of weighted graphs.
Ranked #1 on Node Classification on 20NEWS