1 citations · 1 across the 5 of their papers we have counts for
5 papers
Data Optimization in Deep Learning: A Survey
Ou Wu, Rujing Yao
Large-scale, high-quality data are considered an essential factor for the successful application of many deep learning techniques. Meanwhile, numerous real-world deep learning task…
Compensation Learning
Rujing Yao, Ou Wu
Weighting strategy prevails in machine learning. For example, a common approach in robust machine learning is to exert lower weights on samples which are likely to be noisy or quit…
AI Marker-based Large-scale AI Literature Mining
Rujing Yao, Yingchun Ye, Ji Zhang +2
The knowledge contained in academic literature is interesting to mine. Inspired by the idea of molecular markers tracing in the field of biochemistry, three named entities, namely,…
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention
Linlin Hou, Ji Zhang, Ou Wu +6
Literature analysis facilitates researchers to acquire a good understanding of the development of science and technology. The traditional literature analysis focuses largely on the…
Method and Dataset Mining in Scientific Papers
Rujing Yao, Linlin Hou, Yingchun Ye +3
Literature analysis facilitates researchers better understanding the development of science and technology. The conventional literature analysis focuses on the topics, authors, abs…