Suorong Yang
Orcid: 0000-0001-8788-6382
According to our database1,
Suorong Yang authored at least 37 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training.
CoRR, May, 2026
CoRR, April, 2026
CoRR, March, 2026
IEEE Trans. Pattern Anal. Mach. Intell., February, 2026
CoRR, February, 2026
CoRR, January, 2026
Neural Networks, 2026
2025
CoRR, December, 2025
On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation.
CoRR, October, 2025
Exposing Hallucinations To Suppress Them: VLMs Representation Editing With Generative Anchors.
CoRR, September, 2025
Δ-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation.
CoRR, August, 2025
Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning.
CoRR, July, 2025
CoRR, June, 2025
Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI.
CoRR, June, 2025
DONOD: Robust and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning.
CoRR, April, 2025
IEEE Trans. Image Process., 2025
Supervised contrastive learning with prototype distillation for data incremental learning.
Neural Networks, 2025
Neural Networks, 2025
Neural Networks, 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study.
Pattern Recognit., April, 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning.
CoRR, 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
AdvMask: A sparse adversarial attack-based data augmentation method for image classification.
Pattern Recognit., December, 2023
Pattern Recognit., August, 2023
Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency.
CoRR, 2023
A Simple Geometric-Aware Indoor Positioning Interpolation Algorithm Based on Manifold Learning.
CoRR, 2023
2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification.
CoRR, 2022
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information.
CoRR, 2022