no code implementations • 14 Sep 2021 • Dewen Zeng, Yukun Ding, Haiyun Yuan, Meiping Huang, Xiaowei Xu, Jian Zhuang, Jingtong Hu, Yiyu Shi
At the data acquisition time, the operator could not know the quality of the segmentation results.
Hardware Aware Neural Architecture Search Neural Architecture Search
2 code implementations • 29 Jun 2021 • Dewen Zeng, Mingqi Li, Yukun Ding, Xiaowei Xu, Qiu Xie, Ruixue Xu, Hongwen Fei, Meiping Huang, Jian Zhuang, Yiyu Shi
Experiment results on our clinical MCE data set demonstrate that the neural network trained with the proposed loss function outperforms those existing ones that try to obtain a unique ground truth from multiple annotations, both quantitatively and qualitatively.
no code implementations • 25 Apr 2021 • Xiaowe Xu, Jiawei Zhang, Jinglan Liu, Yukun Ding, Tianchen Wang, Hailong Qiu, Haiyun Yuan, Jian Zhuang, Wen Xie, Yuhao Dong, Qianjun Jia, Meiping Huang, Yiyu Shi
As one of the most commonly ordered imaging tests, computed tomography (CT) scan comes with inevitable radiation exposure that increases the cancer risk to patients.
no code implementations • 1 Jan 2021 • Weiwen Jiang, Yukun Ding, Yiyu Shi
With the continuously increasing number of quantum bits in quantum computers, there are growing interests in exploring applications that can harvest the power of them.
no code implementations • 25 Oct 2020 • Akash Srivastava, Yamini Bansal, Yukun Ding, Cole Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund
Current autoencoder-based disentangled representation learning methods achieve disentanglement by penalizing the (aggregate) posterior to encourage statistical independence of the latent factors.
no code implementations • 27 Feb 2020 • Jinglan Liu, Yukun Ding, JinJun Xiong, Qianjun Jia, Meiping Huang, Jian Zhuang, Bike Xie, Chun-Chen Liu, Yiyu Shi
For example, if the noise is large leading to significant difference between domain $X$ and domain $Y$, can we bridge $X$ and $Y$ with an intermediate domain $Z$ such that both the denoising process between $X$ and $Z$ and that between $Z$ and $Y$ are easier to learn?
no code implementations • MIDL 2019 • Yukun Ding, Jinglan Liu, Xiaowei Xu, Meiping Huang, Jian Zhuang, JinJun Xiong, Yiyu Shi
Existing selective segmentation methods, however, ignore this unique property of selective segmentation and train their DNN models by optimizing accuracy on the entire dataset.
no code implementations • ICLR 2020 • Akash Srivastava, Yamini Bansal, Yukun Ding, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund
In this work, we tackle a slightly more intricate scenario where the observations are generated from a conditional distribution of some known control variate and some latent noise variate.
no code implementations • 7 Mar 2019 • Yukun Ding, Yiyu Shi
In coal-fired power plants, it is critical to improve the operational efficiency of boilers for sustainability.
1 code implementation • 5 Mar 2019 • Yukun Ding, Jinglan Liu, JinJun Xiong, Yiyu Shi
Accurately estimating uncertainties in neural network predictions is of great importance in building trusted DNNs-based models, and there is an increasing interest in providing accurate uncertainty estimation on many tasks, such as security cameras and autonomous driving vehicles.
no code implementations • 26 Feb 2018 • Jinglan Liu, Jiaxin Zhang, Yukun Ding, Xiaowei Xu, Meng Jiang, Yiyu Shi
This work explores the binarization of the deconvolution-based generator in a GAN for memory saving and speedup of image construction.
no code implementations • ICLR 2019 • Yukun Ding, Jinglan Liu, JinJun Xiong, Yiyu Shi
To the best of our knowledge, this is the first in-depth study on the complexity bounds of quantized neural networks.