Yi Zhu

Orcid: 0000-0003-3045-2588

Affiliations:
  • Yangzhou University, Department of Computer Science, Yangzhou, China
  • Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China


According to our database1, Yi Zhu authored at least 64 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Multi-modal soft prompt-tuning for Chinese Clickbait Detection.
Neurocomputing, 2025

2024
Iterative Soft Prompt-Tuning for Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng., December, 2024

Asymmetric Short-Text Clustering via Prompt.
New Gener. Comput., November, 2024

Prompt-Learning for Short Text Classification.
IEEE Trans. Knowl. Data Eng., October, 2024

Representation learning: serial-autoencoder for personalized recommendation.
Frontiers Comput. Sci., August, 2024

Self-Adaptive Deep Asymmetric Network for Imbalanced Recommendation.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Short text classification with Soft Knowledgeable Prompt-tuning.
Expert Syst. Appl., 2024

Prompt-tuning for Clickbait Detection via Text Summarization.
CoRR, 2024

Learning Spectral Canonical ℱ-Correlation Representation for Face Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Lexical simplification via single-word generation.
Frontiers Comput. Sci., December, 2023

Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder.
IEEE Trans. Artif. Intell., October, 2023

Representation learning via an integrated autoencoder for unsupervised domain adaptation.
Frontiers Comput. Sci., October, 2023

Natural language watermarking via paraphraser-based lexical substitution.
Artif. Intell., April, 2023

Knowledge Graph for China's Genealogy<sup>1</sup>1.A shorter version of this paper won the Best Paper Award at IEEE ICKG 2020 (the 11th IEEE International Conference on Knowledge Graph, ickg 2020.bigke.org).
IEEE Trans. Knowl. Data Eng., 2023

Chinese Idiom Paraphrasing.
Trans. Assoc. Comput. Linguistics, 2023

A hybrid classification method via keywords screening and attention mechanisms in extreme short text.
Intell. Data Anal., 2023

Unsupervised statistical text simplification using pre-trained language modeling for initialization.
Frontiers Comput. Sci., 2023

Joint user profiling with hierarchical attention networks.
Frontiers Comput. Sci., 2023

Clickbait Detection via Large Language Models.
CoRR, 2023

Sentence Simplification via Large Language Models.
CoRR, 2023

Many Is Better Than One: Multiple Covariation Learning for Latent Multiview Representation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Learning Supervised Covariation Projection Through General Covariance.
Proceedings of the IEEE International Conference on Acoustics, 2023

Chinese Lexical Substitution: Dataset and Method.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multilingual Lexical Simplification via Paraphrase Generation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ParaLS: Lexical Substitution via Pretrained Paraphraser.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Interval-Valued Intuitionistic Fuzzy Decision With Graph Pattern in Big Graph.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Representation learning with deep sparse auto-encoder for multi-task learning.
Pattern Recognit., 2022

Combining embedding-based and symbol-based methods for entity alignment.
Pattern Recognit., 2022

Prompt-Learning for Short Text Classification.
CoRR, 2022

Time Interval Aware Self-Attention approach for Knowledge Tracing.
Comput. Electr. Eng., 2022

Personalized recommendation with knowledge graph via dual-autoencoder.
Appl. Intell., 2022

Hypernode: Entity Fusion for Data Traceability and Link Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2022

Learning Canonical F-Correlation Projection for Compact Multiview Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fractional Multiset Coherent Super-Resolution Representation for Low Resolution Face Recognition.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

Attentional Meta-path Contrastive Graph Convolutional Networks for Knowledge Concept Recommendation.
Proceedings of the Tenth International Conference on Advanced Cloud and Big Data, 2022

2021
Stacked Convolutional Sparse Auto-Encoders for Representation Learning.
ACM Trans. Knowl. Discov. Data, 2021

LSBert: Lexical Simplification Based on BERT.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Hybrid collaborative recommendation of co-embedded item attributes and graph features.
Neurocomputing, 2021

Microbloggers' interest inference using a subgraph stream.
Intell. Data Anal., 2021

Representation learning with collaborative autoencoder for personalized recommendation.
Expert Syst. Appl., 2021

Representation Learning With Dual Autoencoder for Multi-Label Classification.
IEEE Access, 2021

Lifelong Learning Augmented Short Text Stream Clustering Method.
IEEE Access, 2021

Domain Adaptation with Stacked Convolutional Sparse Autoencoder.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Fractional Multi-view Hashing with Semantic Correlation Maximization.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Scheme for Kinship Reasoning based on Ontology.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Personalized Recommendation Based On Entity Attributes and Graph Features.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings.
Pattern Recognit. Lett., 2020

Semi-supervised representation learning via dual autoencoders for domain adaptation.
Knowl. Based Syst., 2020

LSBert: A Simple Framework for Lexical Simplification.
CoRR, 2020

A Hybrid Classification Method via Character Embedding in Chinese Short Text With Few Words.
IEEE Access, 2020

Hybrid Collaborative Recommendation via Dual-Autoencoder.
IEEE Access, 2020

Regularized Multiset Neighborhood Correlation Analysis for Semi-paired Multiview Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Knowledge Graph for China's Genealogy.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Lexical Simplification with Pretrained Encoders.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Transfer learning with deep manifold regularized auto-encoders.
Neurocomputing, 2019

Representation learning via serial autoencoders for domain adaptation.
Neurocomputing, 2019

A Simple BERT-Based Approach for Lexical Simplification.
CoRR, 2019

Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

The ℓ _2, 1 -Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

2018
Transfer learning with stacked reconstruction independent component analysis.
Knowl. Based Syst., 2018

An Online Transfer Learning Algorithm with Adaptive Cost.
Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018

Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018


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