基本信息
浏览量:0
职业迁徙
个人简介
Research Interests
My research focuses on the Human-centered Artificial Intelligence (AI) and Human-AI Collaboration. In particular, my research aims to explicitly utilize the human intelligence from crowdsourcing systems (i.e., crowd intelligence) to effectively design, configure, and troubleshoot the AI models to improve the performance, fairness, explainability, and accountability of the AI models in real-world applications.
I am delighted to design principled solutions that integrate the state-of-the-art crowdsourcing techniques (e.g., Amazon MTurk), AI models (e.g., convolutional/recurrent/graph neural network, generative adversarial network, transfer/contrastive learning), and estimation theoretical approaches (e.g., maximum likelihood estimation (MLE), subjective logic) to jointly model the diversified yet complementary AI and crowd intelligence to address a rich set of complex real-world problems including public health misinformation detection, urban infrastructure monitoring, disaster damage assessment, traffic risk prediction, etc.
My research focuses on the Human-centered Artificial Intelligence (AI) and Human-AI Collaboration. In particular, my research aims to explicitly utilize the human intelligence from crowdsourcing systems (i.e., crowd intelligence) to effectively design, configure, and troubleshoot the AI models to improve the performance, fairness, explainability, and accountability of the AI models in real-world applications.
I am delighted to design principled solutions that integrate the state-of-the-art crowdsourcing techniques (e.g., Amazon MTurk), AI models (e.g., convolutional/recurrent/graph neural network, generative adversarial network, transfer/contrastive learning), and estimation theoretical approaches (e.g., maximum likelihood estimation (MLE), subjective logic) to jointly model the diversified yet complementary AI and crowd intelligence to address a rich set of complex real-world problems including public health misinformation detection, urban infrastructure monitoring, disaster damage assessment, traffic risk prediction, etc.
研究兴趣
论文共 17 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 (2024)
引用0浏览0EI引用
0
0
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.3114-3123, (2023)
2023 20TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING, SECONpp.429-437, (2023)
Proceedings of the ACM on Human-Computer Interactionno. GROUP (2022): 1-25
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