Zobrazeno 1 - 10
of 807
pro vyhledávání: '"Zhang Qianru"'
Effective spatio-temporal prediction frameworks play a crucial role in urban sensing applications, including traffic analysis, human mobility behavior modeling, and citywide crime prediction. However, the presence of data noise and label sparsity in
Externí odkaz:
http://arxiv.org/abs/2410.10915
Large Vision-Language Models (LVLMs) have achieved remarkable progress on visual perception and linguistic interpretation. Despite their impressive capabilities across various tasks, LVLMs still suffer from the issue of hallucination, which involves
Externí odkaz:
http://arxiv.org/abs/2410.04107
Autor:
Zhang, Qianru, Yang, Peng, Yu, Junliang, Wang, Haixin, He, Xingwei, Yiu, Siu-Ming, Yin, Hongzhi
The widespread adoption of smartphones and Location-Based Social Networks has led to a massive influx of spatio-temporal data, creating unparalleled opportunities for enhancing Point-of-Interest (POI) recommendation systems. These advanced POI system
Externí odkaz:
http://arxiv.org/abs/2410.02191
Publikováno v:
Transactions on Knowledge Discovery from Data 2024
Nowadays, it becomes a common practice to capture some data of sports games with devices such as GPS sensors and cameras and then use the data to perform various analyses on sports games, including tactics discovery, similar game retrieval, performan
Externí odkaz:
http://arxiv.org/abs/2407.19686
Autor:
Zhang, Qianru, Wang, Haixin, Long, Cheng, Su, Liangcai, He, Xingwei, Chang, Jianlong, Wu, Tailin, Yin, Hongzhi, Yiu, Siu-Ming, Tian, Qi, Jensen, Christian S.
This paper focuses on the integration of generative techniques into spatial-temporal data mining, considering the significant growth and diverse nature of spatial-temporal data. With the advancements in RNNs, CNNs, and other non-generative techniques
Externí odkaz:
http://arxiv.org/abs/2405.09592
Publikováno v:
ICDE 2024
Graph augmentation with contrastive learning has gained significant attention in the field of recommendation systems due to its ability to learn expressive user representations, even when labeled data is limited. However, directly applying existing G
Externí odkaz:
http://arxiv.org/abs/2403.16656
Publikováno v:
E3S Web of Conferences, Vol 356, p 01061 (2022)
For the problem of gas accumulation in the product bunker of a company’s coal processing plant, three different ventilation schemes are proposed. The first one opens rectangular air inlet louvers on the wall of the product bunker and adds fans on t
Externí odkaz:
https://doaj.org/article/ae3cfae236df42078d7d3b88371d6ee7
Publikováno v:
E3S Web of Conferences, Vol 356, p 01036 (2022)
Evaluation on the carbon emissions of large public buildings and carbon reduction measures are very important to help reach carbon peak demand and carbon neutral. The purpose of this study is to conduct energy audits and energy-saving assessments on
Externí odkaz:
https://doaj.org/article/7989b743160045f29ff8187065dacf5a
Publikováno v:
E3S Web of Conferences, Vol 356, p 04023 (2022)
R290 as a refrigerant has significant advantages of low cost, high energy efficiency, and more environmental protection, but the leakage will form a hazardous area inside the indoor unit and the room where the concentration exceeds the lower flammabl
Externí odkaz:
https://doaj.org/article/3e61a96949b64e8bb3ae4658909e3278
Factual error correction (FEC) aims to revise factual errors in false claims with minimal editing, making them faithful to the provided evidence. This task is crucial for alleviating the hallucination problem encountered by large language models. Giv
Externí odkaz:
http://arxiv.org/abs/2312.07049