no code implementations • 7 Aug 2023 • Yancheng Liang, Jiajie Zhang, Hui Li, Xiaochen Liu, Yi Hu, Yong Wu, Jinyao Zhang, Yongyan Liu, Yi Wu
Despite the tremendous advances achieved over the past years by deep learning techniques, the latest risk prediction models for industrial applications still rely on highly handtuned stage-wised statistical learning tools, such as gradient boosting and random forest methods.
no code implementations • COLING 2022 • Xiaochen Liu, Yang Gao, Yu Bai, Jiawei Li, Yinan Hu, Heyan Huang, Boxing Chen
Few-shot abstractive summarization has become a challenging task in natural language generation.
no code implementations • 17 Mar 2021 • Xiaochen Liu, Peter A. Robinson
This model consists of three parts: (i) an anisotropic Laplacian (AL) operator that represents the local neural sensitivity to the orientation of visual inputs; (ii) a receptive field (RF) operator that models the anisotropic spatial RF that projects to a given V1 cell over scales of a few tenths of a millimeter and combines with the AL operator to give an overall OP operator; and (iii) a map that describes how the parameters of these operators vary approximately periodically across V1.
no code implementations • 1 Nov 2020 • Xiaochen Liu
In summary, there are three major challenges for today's vision-based context sensing systems: data collection and labeling at large scale, process large data volumes efficiently with limited hardware resources, and extract accurate context out of vision data.
no code implementations • 24 Mar 2020 • Pradipta Ghosh, Xiaochen Liu, Hang Qiu, Marcos A. M. Vieira, Gaurav S. Sukhatme, Ramesh Govindan
Public cameras often have limited metadata describing their attributes.
no code implementations • 4 Jan 2020 • Xiaochen Liu, Yurong Jiang, Kyu-Han Kim, Ramesh Govindan
Cashier-free shopping systems like Amazon Go improve shopping experience, but can require significant store redesign.