Shuai Zhao

Orcid: 0000-0001-5174-5182

Affiliations:
  • Jinan University, Guangzhou, China
  • Nanyang Technological University, Singapore


According to our database1, Shuai Zhao authored at least 24 papers between 2020 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
FeaMix: Feature Mix With Memory Batch Based on Self-Consistency Learning for Code Generation and Code Translation.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2025

Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation.
CoRR, January, 2025

Clean-label backdoor attack and defense: An examination of language model vulnerability.
Expert Syst. Appl., 2025

2024
Exploring Clean Label Backdoor Attacks and Defense in Language Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

A simple and efficient filter feature selection method via document-term matrix unitization.
Pattern Recognit. Lett., 2024

AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.
CoRR, 2024

A Comprehensive Survey of Datasets, Theories, Variants, and Applications in Direct Preference Optimization.
CoRR, 2024

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation.
CoRR, 2024

Weak-to-Strong Backdoor Attack for Large Language Models.
CoRR, 2024

A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse.
CoRR, 2024

A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures.
CoRR, 2024

Universal Vulnerabilities in Large Language Models: In-context Learning Backdoor Attacks.
CoRR, 2024

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Logistic Regression Matching Pursuit algorithm for text classification.
Knowl. Based Syst., October, 2023

From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization.
ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2023

Sparsing and Smoothing for the seq2seq Models.
IEEE Trans. Artif. Intell., June, 2023

A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation.
Neural Process. Lett., 2023

Sparse summary generation.
Appl. Intell., 2023

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Augment BERT with average pooling layer for Chinese summary generation.
J. Intell. Fuzzy Syst., 2022

AP-BERT: enhanced pre-trained model through average pooling.
Appl. Intell., 2022

2020
Leveraging Pre-Trained Language Model for Summary Generation on Short Text.
IEEE Access, 2020

A Topic Information Fusion and Semantic Relevance for Text Summarization.
IEEE Access, 2020


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