基本信息
浏览量:149
职业迁徙
个人简介
My research interests lie in NLP and data mining, with emphasis on knowledge discovery and utilization from heterogeneous sources. The aim is to build AI-powered data systems that can assist with information acquisition and decision making for regular users as well as domain experts in Digital Era. Specifically, I am exploring the following directions:
Large-scale pretraining and representation learning for data from heterogeneous sources, e.g., web texts and tables, knowledge graphs, and databases; both for general and domain-specific applications
Building natural language interfaces (e.g., question answering, semantic parsing, and dialog systems) with varied data and service as backend.
Large-scale pretraining and representation learning for data from heterogeneous sources, e.g., web texts and tables, knowledge graphs, and databases; both for general and domain-specific applications
Building natural language interfaces (e.g., question answering, semantic parsing, and dialog systems) with varied data and service as backend.
研究兴趣
论文共 23 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
NeurIPS (2023)
引用98浏览0EI引用
98
0
COMPANION OF THE WORLD WIDE WEB CONFERENCE, WWW 2023pp.1014-1019, (2023)
20TH INTERNATIONAL WEB FOR ALL CONFERENCE, W4A 2023pp.153-155, (2023)
Xiao Liu, Hao Yu, Hanchen Zhang,Yifan Xu,Xuanyu Lei,Hanyu Lai,Yu Gu, Hangliang Ding,Kaiwen Men, Kejuan Yang, Shudan Zhang,Xiang Deng,
ICLR 2024 (2023)
引用107浏览0EI引用
107
0
SIGMOD/PODS '23: Companion of the 2023 International Conference on Management of Datapp.83-89, (2023)
引用0浏览0EI引用
0
0
CoRR (2023): 197-201
引用0浏览0EI引用
0
0
CVPR 2024 (2023)
引用0浏览0EI引用
0
0
COMPANION OF THE WORLD WIDE WEB CONFERENCE, WWW 2023 (2023): 107-110
CoRR (2023): 5376-5393
引用2浏览0EI引用
2
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