1 code implementation • ACM The Web Conference 2023 • Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng
As such, web-crawling is an essential tool for both computational and non-computational scientists to conduct research.
1 code implementation • 23 Feb 2023 • Naibo Wang, Wenjie Feng, Fusheng Liu, Moming Duan, See-Kiong Ng
The emerging availability of trained machine learning models has put forward the novel concept of Machine Learning Model Market in which one can harness the collective intelligence of multiple well-trained models to improve the performance of the resultant model through one-shot federated learning and ensemble learning in a data-free manner.
no code implementations • 6 Nov 2019 • Meng Xi, Zhiling Luo, Naibo Wang, Jianwei Yin
User churn needs to be predicted with only behavioral data.
1 code implementation • 17 Oct 2019 • Naibo Wang, Zhiling Luo, Xiya Lyu, Zitong Yang, Jianwei Yin
In this work, we construct a service wrapper system to convert available data in web pages into web services.
1 code implementation • 23 Jul 2019 • Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
By systematically summarizing the existing federated learning systems, we present the design factors, case studies, and future research opportunities.