1 code implementation • 30 May 2023 • Yadong Wang, Xiangzhi Bai
The wide & deep architecture in DparNet enables the learned parameters to directly modulate the final restoring results, boosting spatial & intensity adaptive image restoration.
2 code implementations • 24 May 2022 • Yuhan Li, Wei Shen, Jianbo Gao, Yadong Wang
Community Question Answering (CQA) platforms contain plenty of CQA texts (i. e., questions and answers corresponding to the question) where named entities appear ubiquitously.
no code implementations • 20 Jun 2018 • Lei Ma, Fuyuan Zhang, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Yadong Wang
Deep learning (DL) has achieved remarkable progress over the past decade and been widely applied to many safety-critical applications.
4 code implementations • 14 May 2018 • Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
To do this, by sharing the same spirit of mutation testing in traditional software, we first define a set of source-level mutation operators to inject faults to the source of DL (i. e., training data and training programs).
Software Engineering
no code implementations • 20 Mar 2018 • Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
Deep learning (DL) defines a new data-driven programming paradigm that constructs the internal system logic of a crafted neuron network through a set of training data.
no code implementations • 25 Aug 2016 • Haozhe Xie, Jie Li, Qiaosheng Zhang, Yadong Wang
FS followed by RP outperforms other combination methods in classification accuracy on most of the datasets.