1 code implementation • 17 Oct 2023 • Yazhou Zhang, Mengyao Wang, Youxi Wu, Prayag Tiwari, Qiuchi Li, Benyou Wang, Jing Qin
Large language models (LLMs) and their variants have shown extraordinary efficacy across numerous downstream natural language processing (NLP) tasks, which has presented a new vision for the development of NLP.
1 code implementation • 14 Mar 2023 • Youxi Wu, Shuhui Cheng, Yan Li, Rongjie Lv, Fan Min
The experimental results verify that STWD-SFNN has a more compact network on structured datasets than other SFNN models, and has better generalization performance than the competitive models.
no code implementations • 25 Jul 2022 • Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu
To screen out redundant feature vectors, we introduce a hashing screening mechanism for multi-grained scanning and propose a model called HW-Forest which adopts two strategies, hashing screening and window screening.
no code implementations • 9 Jan 2022 • Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu
To discover patterns, existing methods often convert time series data into another form, such as nominal/symbolic format, to reduce dimensionality, which inevitably deviates the data values.
no code implementations • 25 Dec 2021 • Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, Zhao Li
As a deep learning model, deep confidence screening forest (gcForestcs) has achieved great success in various applications.
no code implementations • 9 Nov 2020 • Zhao Li, Donghui Ding, Pengcheng Zou, Yu Gong, Xi Chen, Ji Zhang, Jianliang Gao, Youxi Wu, Yucong Duan
The booming online e-commerce platforms demand highly accurate approaches to segment queries that carry the product requirements of consumers.