Jiayao Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Automatic Recognition

Top Venues

IEEE Trans. Signal Process.

Publications

Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CLeaR (2024)
Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. CoRR (2023)
Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CoRR (2023)
Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. ACL (1) (2023)
Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J. Su, James Zou
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. ICLR (2023)
Bo Zhang, Jiayao Zhang
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. CLeaR (2022)
Bo Zhang, Jiayao Zhang
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. CoRR (2022)
Jiayao Zhang, Hongming Zhang, Dan Roth, Weijie J. Su
Causal Inference Principles for Reasoning about Commonsense Causality. CoRR (2022)
Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J. Su, James Zou
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. CoRR (2022)
Jiayao Zhang, Hongming Zhang, Zhun Deng, Dan Roth
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach. CoRR (2022)
Jiayao Zhang, Hongming Zhang, Weijie J. Su, Dan Roth
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality. ICML (2022)
Jiayao Zhang, Hua Wang, Weijie J. Su
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations. CoRR (2021)
Jiayao Zhang, Hua Wang, Weijie J. Su
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations. NeurIPS (2021)
Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. GLOBECOM (2018)
Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version). CoRR (2018)
Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. IEEE Trans. Signal Process. 66 (22) (2018)
Jiayao Zhang, Guangxu Zhu, Robert W. Heath Jr., Kaibin Huang
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning. CoRR (2018)