Ziheng Zeng

According to our database1, Ziheng Zeng authored at least 12 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
CLASP: Cross-modal Alignment Using Pre-trained Unimodal Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Non-compositional Expression Generation Based on Curriculum Learning and Continual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Unified Representation for Non-compositional and Compositional Expressions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CLCL: Non-compositional Expression Detection with Contrastive Learning and Curriculum Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions.
Trans. Assoc. Comput. Linguistics, 2022

Idiomatic Expression Paraphrasing without Strong Supervision.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Idiomatic Expression Identification using Semantic Compatibility.
Trans. Assoc. Comput. Linguistics, 2021

2020
Recurrent Inference in Text Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
DiAd: Domain Adaptation for Learning at Scale.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

2018
Automated Generation and Selection of Interpretable Features for Enterprise Security.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses.
Proceedings of the 10th International Conference on Educational Data Mining, 2017


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