Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Xiang-Rong Sheng"'
Autor:
Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Autor:
Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
Publikováno v:
Machine Learning. 109:643-664
Considering the data collection and labeling cost in real-world applications, training a model with limited examples is an essential problem in machine learning, visual recognition, etc. Directly training a model on such few-shot learning (FSL) tasks
Publikováno v:
AAAI
Identifying anomalies in multi-view data is a difficult task due to the complicated data characteristics of anomalies. Specifically, there are two types of anomalies in multi-view data–anomalies that have inconsistent features across multiple views
Publikováno v:
KDD
One of the difficulties of conversion rate (CVR) prediction is that the conversions can delay and take place long after the clicks. The delayed feedback poses a challenge: fresh data are beneficial to continuous training but may not have complete lab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dad498902e6a8b5bdc7c1fb62769751b
Autor:
Liqin Zhao, Binding Dai, Hongbo Deng, Xiaoqiang Zhu, Guorui Zhou, Siran Yang, Chi Zhang, Xinyao Ding, Xiang-Rong Sheng, Qiang Luo, Jingshan Lv
Publikováno v:
CIKM
Traditional industrial recommenders are usually trained on a single business domain and then serve for this domain. However, in large commercial platforms, it is often the case that the recommenders need to make click-through rate (CTR) predictions f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e91c0ae3c41150502b6ac681d4379ed0
Publikováno v:
IJCAI
Lacking training examples is one of the main obstacles to learning systems. Transfer learning aims to extract and utilize useful information from related datasets and assists the current task effectively. Most existing methods restrict tasks connecti
Publikováno v:
IJCAI
In real world applications, data are often with multiple modalities. Researchers proposed the multi-modal learning approaches for integrating the information from different modalities. Most of the previous multi-modal methods assume that training exa
Publikováno v:
Biochemical Journal. 333:401-405
The refolding of urea-denatured adenylate kinase (EC 2.7.4.3) has been followed by formation of the secondary structure, change of surface hydrophobicity and recovery of catalytic activity. During refolding of adenylate kinase with a 20–80-fold dil
Publikováno v:
Journal of Biological Chemistry. 273:7448-7456
The time course of 8-anilino-1-naphthalenesulfonic acid (ANS) binding to adenylate kinase (AK) is a biphasic process. The burst phase ends in the dead-time of the stopped-flow apparatus (about 15 ms), whereas the slow phase completes in about 10 min.