Shiji Zhao

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
NS-FPN: Improving Infrared Small Target Detection and Segmentation from Noise Suppression Perspective.
CoRR, August, 2025

Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation.
CoRR, June, 2025

Enhancing Adversarial Robustness of Vision Language Models via Adversarial Mixture Prompt Tuning.
CoRR, May, 2025

When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack.
CoRR, March, 2025

Quasi-Periodic Orbits of a Difference Equation with Varied Coefficients.
Int. J. Bifurc. Chaos, January, 2025

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency.
CoRR, January, 2025

Continual learning in the presence of repetition.
Neural Networks, 2025

An unstructured adaptive mesh refinement for steady flows based on physics-informed neural networks.
J. Comput. Phys., 2025

Correction to "Development of a Pantetheine Force Field Library for Molecular Modeling".
J. Chem. Inf. Model., 2025

2024
Mitigating Accuracy-Robustness Trade-Off via Balanced Multi-Teacher Adversarial Distillation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Revisiting the Trade-Off Between Accuracy and Robustness via Weight Distribution of Filters.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Boosting Adversarial Transferability With Learnable Patch-Wise Masks.
IEEE Trans. Multim., 2024

Dissipativity-based consensus for P-one-sided Lipschitz multi-agent systems via ILC.
IMA J. Math. Control. Inf., 2024

OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations.
CoRR, 2024

Defending Adversarial Patches via Joint Region Localizing and Inpainting.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
AmberTools.
J. Chem. Inf. Model., October, 2023

Research on Driving Obstacle Detection Technology in Foggy Weather Based on GCANet and Feature Fusion Training.
Sensors, March, 2023

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation.
CoRR, 2023

Mitigating the Accuracy-Robustness Trade-off via Multi-Teacher Adversarial Distillation.
CoRR, 2023

Boosting Adversarial Transferability with Learnable Patch-wise Masks.
CoRR, 2023

Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters.
CoRR, 2023

MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset.
CoRR, 2023

2022
Computational Studies of Pantetheine-Containing Ligands (PCLs) and Advancements of the Polarizable Gaussian Multipole (pGM) Model
PhD thesis, 2022

Vehicle and pedestrian detection method based on improved YOLOX in foggy environment.
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

Enhanced Accuracy and Robustness via Multi-teacher Adversarial Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Development of a Pantetheine Force Field Library for Molecular Modeling.
J. Chem. Inf. Model., 2021


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