Ziqi Wang

Orcid: 0000-0001-7772-0338

Affiliations:
  • University of Illinois Urbana Champaign, IL, USA
  • Tsinghua University, China (former)


According to our database1, Ziqi Wang authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Understanding the Effect of Data Augmentation on Knowledge Distillation.
CoRR, 2023

RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought.
CoRR, 2023

SmartBook: AI-Assisted Situation Report Generation.
CoRR, 2023

Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
CLEVE: Contrastive Pre-training for Event Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning from Explanations with Neural Execution Tree.
Proceedings of the 8th International Conference on Learning Representations, 2020

MAVEN: A Massive General Domain Event Detection Dataset.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.
CoRR, 2019

Neural Rule Grounding for Low-Resource Relation Extraction.
CoRR, 2019

HMEAE: Hierarchical Modular Event Argument Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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