4 citations · 8 across the 5 of their papers we have counts for
7 papers
Event Causality Identification with Synthetic Control
Haoyu Wang, Fengze Liu, Jiayao Zhang +2
Event causality identification (ECI), a process that extracts causal relations between events from text, is crucial for distinguishing causation from correlation. Traditional appro…
Association between author metadata and acceptance: A feature-rich, matched observational study of a corpus of ICLR submissions between 2017-2022
Chang Chen, Jiayao Zhang, Dan Roth +2
Many recent studies have probed status bias in the peer-review process of academic journals and conferences. In this article, we investigated the association between author metadat…
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach
Jiayao Zhang, Hongming Zhang, Zhun Deng +1
Double-blind peer review mechanism has become the skeleton of academic research across multiple disciplines including computer science, yet several studies have questioned the qual…
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts
Bo Zhang, Jiayao Zhang
We examine the role of textual data as study units when conducting causal inference by drawing parallels between human subjects and organized texts. %in human population research.…
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang, Hua Wang, Weijie J. Su
Understanding the training dynamics of deep learning models is perhaps a necessary step toward demystifying the effectiveness of these models. In particular, how do data from diffe…
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning
Jiayao Zhang, Guangxu Zhu, Robert W. Heath +1
Modern machine learning algorithms have been adopted in a range of signal-processing applications spanning computer vision, natural language processing, and artificial intelligence…