Zobrazeno 1 - 10
of 600
pro vyhledávání: '"Cui Lizhen"'
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 1, Pp 33-39 (2022)
The traditional pedestrian dead reckoning (PDR) algorithm has low positioning precision due to the accumulated errors of step size and heading, which can not meet the requirements of precise positioning of underground personnel. In order to solve the
Externí odkaz:
https://doaj.org/article/3101aeb15bac42c68faa6463c39e5b71
Autor:
Zhang, Linhao, Zan, Daoguang, Yang, Quanshun, Huang, Zhirong, Chen, Dong, Shen, Bo, Liu, Tianyu, Gong, Yongshun, Huang, Pengjie, Lu, Xudong, Liang, Guangtai, Cui, Lizhen, Wang, Qianxiang
Large Language Models (LLMs) have advanced rapidly in recent years, with their applications in software engineering expanding to more complex repository-level tasks. GitHub issue resolving is a key challenge among these tasks. While recent approaches
Externí odkaz:
http://arxiv.org/abs/2412.17315
Autor:
Jiang, Haiyang, Chen, Tong, Zhang, Wentao, Hung, Nguyen Quoc Viet, Yuan, Yuan, Li, Yong, Cui, Lizhen
Urban flow prediction is a classic spatial-temporal forecasting task that estimates the amount of future traffic flow for a given location. Though models represented by Spatial-Temporal Graph Neural Networks (STGNNs) have established themselves as ca
Externí odkaz:
http://arxiv.org/abs/2412.05534
The rapid spread of rumors on social media has posed significant challenges to maintaining public trust and information integrity. Since an information cascade process is essentially a propagation tree, recent rumor detection models leverage graph ne
Externí odkaz:
http://arxiv.org/abs/2411.12949
In the future sixth-generation (6G) era, to support accurate localization sensing and efficient communication link establishment for intelligent agents, a comprehensive understanding of the surrounding environment and proper channel modeling are indi
Externí odkaz:
http://arxiv.org/abs/2411.03711
Text-to-SQL translates natural language queries into Structured Query Language (SQL) commands, enabling users to interact with databases using natural language. Essentially, the text-to-SQL task is a text generation task, and its development is prima
Externí odkaz:
http://arxiv.org/abs/2410.06011
Autor:
Ma, Jie, Gao, Zhitao, Chai, Qi, Sun, Wangchun, Wang, Pinghui, Pei, Hongbin, Tao, Jing, Song, Lingyun, Liu, Jun, Zhang, Chen, Cui, Lizhen
Large Language Models (LLMs) may suffer from hallucinations in real-world applications due to the lack of relevant knowledge. In contrast, knowledge graphs encompass extensive, multi-relational structures that store a vast array of symbolic facts. Co
Externí odkaz:
http://arxiv.org/abs/2409.03155
Urban flow prediction is a spatio-temporal modeling task that estimates the throughput of transportation services like buses, taxis, and ride-sharing, where data-driven models have become the most popular solution in the past decade. Meanwhile, the i
Externí odkaz:
http://arxiv.org/abs/2407.13605
Food recommendation systems serve as pivotal components in the realm of digital lifestyle services, designed to assist users in discovering recipes and food items that resonate with their unique dietary predilections. Typically, multi-modal descripti
Externí odkaz:
http://arxiv.org/abs/2406.18962
Since the creation of the Web, recommender systems (RSs) have been an indispensable mechanism in information filtering. State-of-the-art RSs primarily depend on categorical features, which ecoded by embedding vectors, resulting in excessively large e
Externí odkaz:
http://arxiv.org/abs/2406.17335