Yanan Zheng

Orcid: 0000-0001-7067-0198

According to our database1, Yanan Zheng authored at least 24 papers between 2008 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Compositional Task Representations for Large Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Universal Discriminator for Zero-Shot Generalization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Prompt-Based Metric Learning for Few-Shot NER.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Zero-Label Prompt Selection.
CoRR, 2022

On the Performance of Data Compression in Clustered Fog Radio Access Networks.
CoRR, 2022

NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework.
Proceedings of the International Conference on Machine Learning, 2022

The Impact of Referral Reward Programs on Customer Value: Evidence from the Restaurant Market.
Proceedings of the 13th International Conference on E-business, Management and Economics, 2022

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.
CoRR, 2021

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.
CoRR, 2021

GPT Understands, Too.
CoRR, 2021

CPM: A large-scale generative Chinese Pre-trained language model.
AI Open, 2021

On the Mean Local Delay of Clustered Fog Radio Access Networks.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Joint Radio Resources Allocation in the Coexisting NR-U and Wi-Fi Networks.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Generating Contextually Coherent Responses by Learning Structured Vectorized Semantics.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
How to Generate Reasonable Texts with Controlled Attributes.
Proceedings of the Database Systems for Advanced Applications, 2020

Solving Sequential Text Classification as Board-Game Playing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Research on Medium- and Long-Term Operation Simulation Method Based on Improved Universal Generating Function.
IEEE Access, 2019

Test4Deep: an Effective White-Box Testing for Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017
Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2008
SBML-SAT: a systems biology markup language (SBML) based sensitivity analysis tool.
BMC Bioinform., 2008


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