Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Kailong Chen"'
Autor:
Dongzhi Chen, Xin Guo, Xuening Sun, Xiang Feng, Kailong Chen, Jinfeng Zhang, Zece Zhu, Xiaofang Zhang, Xin Liu, Min Liu, Li Li, Weilin Xu
Publikováno v:
Exploration, Vol 4, Iss 6, Pp n/a-n/a (2024)
Abstract Recently, biomass‐derived carbon dots (CDs) have attracted considerable attention in high‐technology fields due to their prominent merits, including brilliant luminescence, superior biocompatibility, and low toxicity. However, most of th
Externí odkaz:
https://doaj.org/article/c59a94b3cc2e4a5089e6d16ab8bb9770
Publikováno v:
2022 5th International Conference on Electronics and Electrical Engineering Technology (EEET).
Publikováno v:
2022 IEEE International Power Electronics and Application Conference and Exposition (PEAC).
Autor:
Jing Xie, Xuening Sun, Xin Guo, Xiang Feng, Kailong Chen, Xin Shu, Chenhao Wang, Wei Sun, Yang Liu, Bin Shang, Xin Liu, Dongzhi Chen, Weilin Xu, Zhujun Li
Publikováno v:
Carbohydrate polymers. 301
Recently, water-borne fluorescent inks have attracted extensive attention in anti-counterfeiting applications due to their convenient implementation and eco-friendliness. However, due to poor service durability, the latent authorization information f
Publikováno v:
SIGIR
Topic models have been widely used for text analysis. Previous topic models have enjoyed great success in mining the latent topic structure of text documents. With many efforts made on endowing the resulting document-topic distributions with differen
Publikováno v:
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).
Many previous research works have focused on analyzing online social networks in many dimensions, as they bring large commercial value and provide significant references for many other subjects. Pinterest, a pinboard-style image sharing social servic
Publikováno v:
RecSys
In this paper, we propose a set-oriented personalized ranking model for diversified top-N recommendation. Users may have various individual ranges of interests. For personalized top-N recommendation task, the combination of relevance and diversity in
Publikováno v:
RecSys
Many Internet users have encountered serious information overload problem on social networks such as Facebook and Twitter, where users can consume the streams of social updates from their social connections. Traditional methods solving this problem i
Publikováno v:
SIGIR
With the rapid growing of Web 2.0, people spend more time on social networks such as Facebook and Twitter. In order to know the people they are interacting with, finding the web appearances of them will help the social network users to a great extent
Publikováno v:
SIGIR
Twitter has rapidly grown to a popular social network in recent years and provides a large number of real-time messages for users. Tweets are presented in chronological order and users scan the followees' timelines to find what they are interested in