Congying Xia
University of Illinois at Chicago
zero-shot learning
memory network
self-attention
hierarchical structure
named entity typing
paper review rating recommendation
5
presentations
24
number of views
1
citations
SHORT BIO
Hello, my name is Congying Xia. I am a 5th-year PhD student in the Department of Computer Science at University of Illinois at Chicago. I am fortunate to be advised by Professor Philip S. Yu. Prior to that, I received B.S. and M.S. from University of Science and Technology, Beijing. My primary research interest lies in Natural Language Processing, like named entity recognition and intent detection. In particular, I am interested in understanding natural language in low-resource scenarios such as zero-shot learning and few-shot learning. I interned at Salesforce Research, Google AI and Tencent Medical AI lab during the PhD period.
Presentations
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
Jianguo Zhang and 8 other authors
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
Jianguo Zhang and 8 other authors
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Congying Xia and 3 other authors
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
Zhongfen Deng and 5 other authors
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing
Tao Zhang and 3 other authors