no code implementations • 7 Dec 2016 • Ji Feng, Qingsheng Zhu, Jinlong Huang, Lijun Yang
Various kinds of k-nearest neighbor (KNN) based classification methods are the bases of many well-established and high-performance pattern-recognition techniques, but both of them are vulnerable to their parameter choice.
19 code implementations • 28 Feb 2017 • Zhi-Hua Zhou, Ji Feng
This study opens the door of deep learning based on non-differentiable modules, and exhibits the possibility of constructing deep models without using backpropagation.
2 code implementations • 26 Sep 2017 • Ji Feng, Zhi-Hua Zhou
Auto-encoding is an important task which is typically realized by deep neural networks (DNNs) such as convolutional neural networks (CNN).
no code implementations • 11 May 2018 • Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou, YUAN, QI
This model can block fraud transactions in a large amount of money each day.
1 code implementation • NeurIPS 2018 • Ji Feng, Yang Yu, Zhi-Hua Zhou
Multi-layered representation is believed to be the key ingredient of deep neural networks especially in cognitive tasks like computer vision.
no code implementations • 7 Jun 2018 • Hossein Izadi Rad, Ji Feng, Hitoshi Iba
The solution produced by GP-RVM is a sparse Bayesian linear model of the coefficients of many non-linear functions.
1 code implementation • NeurIPS 2019 • Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou
In this work, we consider one challenging training time attack by modifying training data with bounded perturbation, hoping to manipulate the behavior (both targeted or non-targeted) of any corresponding trained classifier during test time when facing clean samples.
no code implementations • 7 Jun 2020 • Ji Feng, Yi-Xuan Xu, Yuan Jiang, Zhi-Hua Zhou
Gradient Boosting Machine has proven to be one successful function approximator and has been widely used in a variety of areas.
no code implementations • 24 Dec 2020 • Zhimou Zhou, Shishir Kumar Pandey, Ji Feng
In contrast to the density functional theory that leads to negligible orbital magnetization in VI$_3$, in dynamical mean-field approach the orbital magnetization is greatly enhanced.
Strongly Correlated Electrons