基本信息
浏览量:597

个人简介
Boqing Gong is a research scientist at Google, Seattle and a principal investigator at ICSI, Berkeley. His research in machine learning and computer vision focuses on sample-efficient learning (e.g., domain adaptation, few-shot, reinforcement, webly-supervised, and self-supervised learning) and the visual analytics of objects, scenes, human activities, and their attributes. Before joining Google in 2019, he worked in Tencent and was a tenure-track Assistant Professor at the University of Central Florida (UCF). He received an NSF CRII award in 2016 and an NSF BIGDATA award in 2017, both of which were the first of their kinds ever granted to UCF. He is/was a (senior) area chair of NeurIPS, ICML, CVPR, ICCV, ECCV, AAAI, AISTATS, and WACV. He received his Ph.D. in 2015 at the University of Southern California, where the Viterbi Fellowship partially supported his work.
研究兴趣
论文共 120 篇科研项目共 3 篇作者统计合作学者相似作者
按年份排序按引用量排序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
CoRR (2023)
引用0浏览0EI引用
0
0
ICLR 2023 (2023)
引用0浏览0引用
0
0
Xuhui Jia,Yang Zhao, Kelvin C. K. Chan,Yandong Li, Han Zhang,Boqing Gong, Tingbo Hou, Huisheng Wang,Yu-Chuan Su
CoRR (2023)
引用0浏览0EI引用
0
0
ICLR 2023 (2023)
引用0浏览0引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn