基本信息
views: 149
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
I am interested in building toolkits for modern data scientists who will usually work on prototyping new models or running experiments on large scale dataset. Our methodology includes but not limit to using hardware accelerations like GPU, providing implementation framework for machine learning algorithms, building visual interface for real-time control and monitoring.
I am also interested in interpreting deep learning algorthims (Either their behavior or training process).
I am also interested in interpreting deep learning algorthims (Either their behavior or training process).
Research Interests
Papers共 21 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023pp.1276-1280, (2023)
arXiv (Cornell University) (2022)
CoRR (2022): 2671-2680
Jin Li,Jie Liu, Shangzhou Li, Yao Xu, Ran Cao,Qi Li,Biye Jiang,Guan Wang,Han Zhu,Kun Gai,Xiaoqiang Zhu
ArXiv (2021)
CoRR (2020)
Biye Jiang,Pengye Zhang, Rihan Chen,Binding Dai,Xinchen Luo, Yin Yang,Guan Wang,Guorui Zhou,Xiaoqiang Zhu,Kun Gai
CoRR (2020)
Cited1Views0EIBibtex
1
0
Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Datapp.6-9, (2019)
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn