Jiayao Zhang - RankMe

20 papers A* 4B 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Event Causality Identification with Synthetic Control. CoRR Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson
2024	J	`jnl`	Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning? CoRR Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth, Weijie J. Su
2024	—	`conf`	Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CLeaR Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
2024	A*	`conf`	Event Causality Identification with Synthetic Control. EMNLP Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson
2023	—	`conf`	COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. ACL (1) Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
2023	J	`jnl`	COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. CoRR Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
2023	J	`jnl`	Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CoRR Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
2023	A*	`conf`	FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. ICLR Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J. Su, James Zou
2022	J	`jnl`	Causal Inference Principles for Reasoning about Commonsense Causality. CoRR Jiayao Zhang, Hongming Zhang, Dan Roth, Weijie J. Su
2022	J	`jnl`	FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. CoRR Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J. Su, James Zou
2022	J	`jnl`	Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach. CoRR Jiayao Zhang, Hongming Zhang, Zhun Deng, Dan Roth
2022	A*	`conf`	ROCK: Causal Inference Principles for Reasoning about Commonsense Causality. ICML Jiayao Zhang, Hongming Zhang, Weijie J. Su, Dan Roth
2022	—	`conf`	Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. CLeaR Bo Zhang, Jiayao Zhang
2022	J	`jnl`	Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. CoRR Bo Zhang, Jiayao Zhang
2021	A*	`conf`	Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations. NeurIPS Jiayao Zhang, Hua Wang, Weijie J. Su
2021	J	`jnl`	Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations. CoRR Jiayao Zhang, Hua Wang, Weijie J. Su
2018	J	`jnl`	Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version). CoRR Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang
2018	B	`conf`	Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. GLOBECOM Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang
2018	J	`jnl`	Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. IEEE Trans. Signal Process. Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang
2018	J	`jnl`	Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning. CoRR Jiayao Zhang, Guangxu Zhu, Robert W. Heath Jr., Kaibin Huang