no code implementations • 18 Feb 2022 • Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia
In this paper, we develop a general data-driven method for identifying students' sleep patterns according to their Internet access pattern stored in the education management system and explore its influence from various aspects.
no code implementations • 15 Jul 2020 • Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
As an alternative, we present an interpretable neural network approach to jointly learn a survival model to predict time-to-event outcomes while simultaneously learning how features relate in terms of a topic model.
no code implementations • ICLR 2020 • George H. Chen, Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss
The two approaches we propose differ in the generality of topic models they can learn.
no code implementations • 26 May 2019 • Daanish Ali Khan, Linhong Li, Ninghao Sha, Zhuoran Liu, Abelino Jimenez, Bhiksha Raj, Rita Singh
Recent breakthroughs in the field of deep learning have led to advancements in a broad spectrum of tasks in computer vision, audio processing, natural language processing and other areas.