38 citations · 73 across the 12 of their papers we have counts for
12 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…
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
Buxin Su, Jiayao Zhang, Natalie Collina +6
We conducted an experiment during the review process of the 2023 International Conference on Machine Learning (ICML), asking authors with multiple submissions to rank their papers…
Estimating the Causal Effect of Early ArXiving on Paper Acceptance
Yanai Elazar, Jiayao Zhang, David Wadden +2
What is the effect of releasing a preprint of a paper before it is submitted for peer review? No randomized controlled trial has been conducted, so we turn to observational data to…
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective
Zhaowei Wang, Quyet V. Do, Hongming Zhang +6
Detecting commonsense causal relations (causation) between events has long been an essential yet challenging task. Given that events are complicated, an event may have different ca…
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…
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Zhun Deng, Jiayao Zhang, Linjun Zhang +4
Algorithmic fairness plays an important role in machine learning and imposing fairness constraints during learning is a common approach. However, many datasets are imbalanced in ce…
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.…
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
Jiayao Zhang, Hongming Zhang, Weijie J. Su +1
Commonsense causality reasoning (CCR) aims at identifying plausible causes and effects in natural language descriptions that are deemed reasonable by an average person. Although be…
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…
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version)
Yuqing Du, Guangxu Zhu, Jiayao Zhang +1
Recent breakthroughs in machine learning especially artificial intelligence shift the paradigm of wireless communication towards intelligence radios. One of their core operations i…