18 citations · 34 across the 4 of their papers we have counts for
6 papers
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment
Xinyi Liu, Qi Xie, Qian Zhao +2
Motivated by their recent advances, deep learning techniques have been widely applied to low-light image enhancement (LIE) problem. Among which, Retinex theory based ones, mostly f…
Emergency Vehicles Audio Detection and Localization in Autonomous Driving
Hongyi Sun, Xinyi Liu, Kecheng Xu +2
Emergency vehicles in service have right-of-way over all other vehicles. Hence, all other vehicles are supposed to take proper actions to yield emergency vehicles with active siren…
Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative
Yinlin Ye, Yajing Li, Hongtao Fan +2
Physics-informed neural networks (PINNs) show great advantages in solving partial differential equations. In this paper, we for the first time propose to study conformable time fra…
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors
T. Barfoot, J. Burgner-Kahrs, E. Diller +12
From disinfection and remote triage, to logistics and delivery, countries around the world are making use of robots to address the unique challenges presented by the COVID-19 pande…
Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language Models
Xinyi Liu, Artit Wangperawong
This study compares the effectiveness and robustness of multi-class categorization of Amazon product data using transfer learning on pre-trained contextualized language models. Spe…
A Collaborative Approach to Angel and Venture Capital Investment Recommendations
Xinyi Liu, Artit Wangperawong
Matrix factorization was used to generate investment recommendations for investors. An iterative conjugate gradient method was used to optimize the regularized squared-error loss f…