Suorong Yang

Orcid: 0000-0001-8788-6382

According to our database1, Suorong Yang authored at least 37 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training.
CoRR, May, 2026

Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology.
CoRR, May, 2026

PolyReal: A Benchmark for Real-World Polymer Science Workflows.
CoRR, April, 2026

Towards Realistic Class-Incremental Learning with Free-Flow Increments.
CoRR, April, 2026

Data Agent: Learning to Select Data via End-to-End Dynamic Optimization.
CoRR, March, 2026

IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation.
CoRR, February, 2026

One-shot Optimized Steering Vector for Hallucination Mitigation for VLMs.
CoRR, January, 2026

Dual prototypes for adaptive pre-trained model in class-incremental learning.
Neural Networks, 2026

2025
Parameter-Efficient Augment Plugin for Class-Incremental Learning.
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

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment.
CoRR, June, 2025

Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI.
CoRR, June, 2025

When Dynamic Data Selection Meets Data Augmentation.
CoRR, May, 2025

DONOD: Robust and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning.
CoRR, April, 2025

AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation.
IEEE Trans. Image Process., 2025

Supervised contrastive learning with prototype distillation for data incremental learning.
Neural Networks, 2025

CS-QCFS: Bridging the performance gap in ultra-low latency spiking neural networks.
Neural Networks, 2025

GMNI: Achieve good data augmentation in unsupervised graph contrastive learning.
Neural Networks, 2025

Neural-Driven Image Editing.
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

A CLIP-Powered Framework for Robust and Generalizable Data Selection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Reinforcement Learning-Guided Data Selection Via Redundancy Assessment.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning.
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

Sensitivity pruner: Filter-Level compression algorithm for deep neural networks.
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

Image Data Augmentation for Deep Learning: A Survey.
CoRR, 2022


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