553 citations
- Beihang UniversityCN66 papers
- Microsoft Research Asia (China)CN12 papers
- Chinese Academy of SciencesCN9 papers
- Tsinghua UniversityCN6 papers
- National Cheng Kung UniversityTW4 papers
- University of Chinese Academy of SciencesCN4 papers
- Institute of SoftwareCN3 papers
- Zhejiang UniversityCN3 papers
- CAS Key Laboratory of Quantum Information, USTCCN2 papers
- Nankai UniversityCN2 papers
- State Key Laboratory of Computer Science2 papers
- State Key Laboratory of Low-Dimensional Quantum Physics2 papers
4 papers · 1 filter
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
Bo Hu, Ye Tang, Eric I-Chao Chang +3
The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical for histopathology image analysis. By learning cell-level visual representation,…
Tales of Emotion and Stock in China: Volatility, Causality and Prediction
Zhenkun Zhou, Ke Xu, Jichang Zhao
How the online social media, like Twitter or its variant Weibo, interacts with the stock market and whether it can be a convincing proxy to predict the stock market have been debat…
The effects of different quantum feedback operator types on the parameter precision of detection efficiency in optimal quantum estimation
Shao-Qiang Ma, Han-Jie Zhu, Guofeng Zhang
The effects of different quantum feedback types on the estimation precision of the detection efficiency are studied. It is found that the precision can be more effective enhanced b…
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang +1
In this paper, we develop a new weakly-supervised learning algorithm to learn to segment cancerous regions in histopathology images. Our work is under a multiple instance learning…