Yangyi Li

Orcid: 0009-0007-4411-1414

According to our database1, Yangyi Li authored at least 18 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SiDTBF: Merging Soft Information With Dynamic Threshold Bit Flipping LDPC Decoding for 3-D NAND flash memory.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2026

Quantifying and Understanding Uncertainty in Large Reasoning Models.
CoRR, April, 2026

Uncertainty-aware Language Guidance for Concept Bottleneck Models.
CoRR, February, 2026

Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
YOLOv8n-SSSL: a lightweight and efficient model for textile defect detection.
J. Real Time Image Process., December, 2025

Adaptive Multi-View Hypergraph Learning for Cross-Condition Bearing Fault Diagnosis.
Mach. Learn. Knowl. Extr., 2025

A survey of security and privacy issues of machine unlearning.
AI Mag., 2025

Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
A Hybrid Neural Network-Based Fast Financial Fraud Detection Model.
J. Circuits Syst. Comput., October, 2024

Internet Finance Non-stationary Time Series Prediction Algorithm Based on Deep Learning.
Inf. Technol. Control., 2024

A regionally coordinated allocation strategy for medical resources based on multidimensional uncertain information.
Inf. Sci., 2024

Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten.
CoRR, 2024

Modeling and Understanding Uncertainty in Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Rethinking Adversarial Robustness in the Context of the Right to be Forgotten.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data Poisoning Attacks against Conformal Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022
Nested information representation of multi-dimensional decision: An improved PROMETHEE method based on NPLTSs.
Inf. Sci., 2022


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