Xiang Zhou

Ph.D. Student

University of North Carolina at Chapel Hill

About me

I’m currently a 3rd-year Ph.D. student in the Department of Computer Science, UNC-Chapel Hill, working with Prof. Mohit Bansal.

I received my bachelor’s degree at Shanghai Jiao Tong University (SJTU) in 2018, where I worked with Prof. Kai Yu. I was a member of the IEEE honored class. I also spent one summer visiting the University of Notre Dame, working with Prof. David Chiang.

Last summer, I worked with Heba Elfardy and Tom Butler as an applied scientist intern at Amazon. This summer, I will intern at Facebook AI and work with Jean Maillard.

My research interest lies in building NLP models that understands and analyzes language just like human. I still believe the right path is related to (explicitly/implicitly) acquiring syntax and my current project is on unsupervised POS induction.

Interests

Language
Syntax
Robustness and Generalization

Education

Ph.D. in Computer Science, 2018-Present

University of North Carolina at Chapel Hill
B.S.E. in Computer Science, 2014-2018

Shanghai Jiao Tong University

Publications

Xiang Zhou∗, Yixin Nie∗, Mohit Bansal. Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. Preprint in arXiv, 2021.

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Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler, Mohit Bansal. Hidden Biases in Unreliable News Detection Datasets. (Best Long Paper Award Honorable Mention) In EACL, 2021.

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Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal. The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. In EMNLP, 2020.

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Yixin Nie, Xiang Zhou, Mohit Bansal. What Can We Learn from Collective Human Opinions on Natural Language Inference Data?. In EMNLP, 2020.

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Xiang Zhou, Mohit Bansal. Towards Robustifying NLI Models Against Lexical Dataset Biases. In ACL, 2020.

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Cheng Chang, Runzhe Yang, Lu Chen, Xiang Zhou, Kai Yu. Affordable On-line Dialogue Policy Learning. In EMNLP, 2017.

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Lu Chen, Xiang Zhou, Cheng Chang, Runzhe Yang, Kai Yu. Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning. In EMNLP, 2017.

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Lu Chen, Runzhe Yang, Cheng Chang, Zihao Ye, Xiang Zhou, Kai Yu. On-line Dialogue Policy Learning with Companion Teaching. In EACL, 2017.

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Contact

xzh at cs dot unc dot edu