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The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.16301-16311
2021
Open Access
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Robustness-Preserving Lifelong Learning Via Dataset Condensation
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5
2023
Open Access
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Text-Visual Prompting for Efficient 2D Temporal Video Grounding
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.14794-14804
2023
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Visual Prompting for Adversarial Robustness
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5
2023
Open Access
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Understanding and Improving Visual Prompting: A Label-Mapping Perspective
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.19133-19143
2023
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Query-Efficient Hard-Label Black-Box Attacks Using Biased Sampling
2020 Chinese Automation Congress (CAC), 2020, p.3872-3877
2020
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On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.121-130
2019
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SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5
2023
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Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations
2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, p.895-899
2021
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Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023, p.2346-2352
2023
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A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023, p.2385-2392
2023
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IS ORDERED WEIGHTED ℓ1 REGULARIZED REGRESSION ROBUST TO ADVERSARIAL PERTURBATION? A CASE STUDY ON OSCAR
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018, p.1174-1178
2018
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Modeling and simulation of maximum wind energy capture by segmented slope duty-cycle perturbation method
2021 33rd Chinese Control and Decision Conference (CCDC), 2021, p.564-568
2021
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