Songzhu Zheng

According to our database1, Songzhu Zheng authored at least 14 papers between 2017 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
Task-Agnostic Detector for Insertion-Based Backdoor Attacks.
CoRR, 2024

2023
Learning to Abstain From Uninformative Data.
CoRR, 2023

Learning to Segment from Noisy Annotations: A Spatial Correction Approach.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Attention-Enhancing Backdoor Attacks Against BERT-based Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction.
CoRR, 2022

Attention Hijacking in Trojan Transformers.
CoRR, 2022

A Study of the Attention Abnormality in Trojaned BERTs.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction.
Proceedings of the AMIA 2022, 2022

2021
Topological Detection of Trojaned Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning with Feature-Dependent Label Noise: A Progressive Approach.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
A Topological Filter for Learning with Label Noise.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Error-Bounded Correction of Noisy Labels.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
A movie customer satisfaction index model based on structural equation model.
Int. J. Arts Technol., 2019

2017
Measure audiences' satisfaction through user generated content-satisfaction research in motion picture industry.
Int. J. Arts Technol., 2017


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