Songzhu Zheng

According to our database1, Songzhu Zheng authored at least 19 papers between 2017 and 2026.

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Timeline

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Bibliography

2026
ORCE: Order-Aware Alignment of Verbalized Confidence in Large Language Models.
CoRR, May, 2026

SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents.
CoRR, May, 2026

2025
Reweighting Improves Conditional Risk Bounds.
Trans. Mach. Learn. Res., 2025

PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Dual-LVT: A Dual Attention Language-Vision Transformer for Tumor Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
Learning to Abstain From Uninformative Data.
Trans. Mach. Learn. Res., 2024

Task-Agnostic Detector for Insertion-Based Backdoor Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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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