Jinyan Su

According to our database1, Jinyan Su authored at least 23 papers between 2005 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
PAC learning halfspaces in non-interactive local differential privacy model with public unlabeled data.
J. Comput. Syst. Sci., May, 2024

SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Black-Box Machine-Generated Text Detection.
Dataset, April, 2024

Faster Rates of Differentially Private Stochastic Convex Optimization.
J. Mach. Learn. Res., 2024

Corpus Poisoning via Approximate Greedy Gradient Descent.
CoRR, 2024

SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection.
CoRR, 2024

M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection.
CoRR, 2024

SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Adapting Fake News Detection to the Era of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Learning from Streaming Data when Users Choose.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Evidential global linguistic terms entropy.
Soft Comput., 2023

Fake News Detectors are Biased against Texts Generated by Large Language Models.
CoRR, 2023

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection.
CoRR, 2023

Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
An interval method to measure the uncertainty of basic probability assignment.
Soft Comput., 2022

Faster Rates of Private Stochastic Convex Optimization.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Cooperation, Retaliation and Forgiveness in Revision Games.
CoRR, 2021

Faster Rates of Differentially Private Stochastic Convex Optimization.
CoRR, 2021

2005
Sound source localization for circular arrays of directional microphones.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


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