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ORCIDJiayao Zhang 0001
Person information
- affiliation: University of Pennsylvania, Philadelphia, PA, USA
- affiliation: University of Hong Kong, Hong Kong
Other persons with the same name
- Jiayao Zhang 0002 — Hebei University, Baoding, China
- Jiayao Zhang 0003 — Chongqing University of Posts and Telecommunications, Chongqing, China
- Jiayao Zhang 0004 — ShanghaiTech University, Shanghai, China
- Jiayao Zhang 0005 — King Abdullah University of Science and Technology, Saudi Arabia
- Jiayao Zhang 0006
![[0009-0006-2956-1006]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0006-2956-1006")
— Zhejiang University, Key Laboratory of Blockchain and Cyberspace Governance of Zhejiang Province, China - Jiayao Zhang 0007 — Hefei University, College of Artificial Intelligence and Big Data, China
- Jiayao Zhang 0008 — Liaoning Technical University, China
- Jiayao Zhang 0009 — Huazhong University of Science and Technology, Wuhan, China
- Jiayao Zhang 0010 — Jiangsu University, School of Agricultural Engineering, Zhenjiang, China
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Journal Articles
- 2018
[j1]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): 6031-6046 (2018)
Conference and Workshop Papers
- 2024
- [c7]Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith:
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CLeaR 2024: 913-933 - 2023
- [c6]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: 5253-5271 - [c5]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 - 2022
- [c4]Bo Zhang, Jiayao Zhang:
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. CLeaR 2022: 1026-1036 - [c3]Jiayao Zhang, Hongming Zhang, Weijie J. Su, Dan Roth:
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality. ICML 2022: 26750-26771 - 2021
- [c2]Jiayao Zhang, Hua Wang, Weijie J. Su:
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations. NeurIPS 2021: 6392-6403 - 2018
- [c1]Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang:
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. GLOBECOM 2018: 1-6
Informal and Other Publications
- 2023
- [i9]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 abs/2305.05191 (2023) - [i8]Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith:
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CoRR abs/2306.13891 (2023) - 2022
- [i7]Jiayao Zhang, Hongming Zhang, Dan Roth, Weijie J. Su:
Causal Inference Principles for Reasoning about Commonsense Causality. CoRR abs/2202.00436 (2022) - [i6]Bo Zhang, Jiayao Zhang:
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. CoRR abs/2202.00848 (2022) - [i5]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 abs/2206.02792 (2022) - [i4]Jiayao Zhang, Hongming Zhang, Zhun Deng, Dan Roth:
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach. CoRR abs/2211.06398 (2022) - 2021
- [i3]Jiayao Zhang, Hua Wang, Weijie J. Su:
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations. CoRR abs/2110.05960 (2021) - 2018
- [i2]Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang:
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version). CoRR abs/1804.03593 (2018) - [i1]Jiayao Zhang, Guangxu Zhu, Robert W. Heath Jr., Kaibin Huang:
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning. CoRR abs/1808.02229 (2018)
Coauthor Index
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