E-mail: zdengah at cse dot ust dot hk
Hi! I am Zheye Deng (邓哲也). I am a third-year Ph.D. student at The Hong Kong University of Science and Technology advised by Prof. Yangqiu Song. I received my B.Sc. in Computer Science from Peking University, where I was advised by Prof. Ming Zhang.
My research interest mainly focus on the integration of graph structures and natural language in machine learning, including the construction of large-scale knowledge graphs, as well as extracting and integrating structural information from texts to enhance the ability to answer complex queries.
Ph.D. in Computer Science and Engineering, 2022-Present
The Hong Kong University of Science and Technology
B.Sc. in Computer Science and Technology, 2016-2020
Peking University
We propose Gold, a denoising framework for CSKGs that incorporates entity semantic information, global rules, and local structural information from the CSKG. Experiment results demonstrate that Gold outperforms all baseline methods in noise detection tasks on synthetic noisy CSKG benchmarks. Furthermore, we show that denoising a real-world CSKG is effective and even benefits the downstream zero-shot commonsense question-answering task.