Image Data Augmentation for Deep Learning: A Survey. - Suorong Yang; Weikang Xiao; Mengchen Zhang 001; Suhan Guo; Jian Zhao 013; Furao Shen (CoRR, 2022)

Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information. - Yuanjie Yan; Suorong Yang; Yan Wang; Jian Zhao 013; Furao Shen (CoRR, 2022)

AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification. - Suorong Yang; Jinqiao Li; Jian Zhao 013; Furao Shen (CoRR, 2022)

A Simple Geometric-Aware Indoor Positioning Interpolation Algorithm Based on Manifold Learning. - Suorong Yang; Geng Zhang; Jian Zhao 013; Furao Shen (CoRR, 2023)

Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency. - Suorong Yang; Hongchao Yang; Suhan Guo; Furao Shen; Jian Zhao 013 (CoRR, 2023)

Sensitivity pruner: Filter-Level compression algorithm for deep neural networks. - Suhan Guo; Bilan Lai; Suorong Yang; Jian Zhao 013; Furao Shen (Pattern Recognit., 2023)

AdvMask: A sparse adversarial attack-based data augmentation method for image classification. - Suorong Yang; Jinqiao Li; Tianyue Zhang; Jian Zhao 013; Furao Shen (Pattern Recognit., 2023)

EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification. - Suorong Yang; Furao Shen; Jian Zhao 013 (ECCV (66), 2024)

Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning. - Zhiming Xu; Suorong Yang; Baile Xu; Jian Zhao 013; Furao Shen (CoRR, 2024)

Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study. - Suorong Yang; Suhan Guo; Jian Zhao 013; Furao Shen (Pattern Recognit., 2024)

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning. - Di Zhang; Jingdi Lei; Junxian Li 001; Xunzhi Wang; Yujie Liu; Zonglin Yang 001; Jiatong Li 003; Weida Wang; Suorong Yang; Jianbo Wu; Peng Ye 006; Wanli Ouyang; et al. (CVPR, 2025)

A CLIP-Powered Framework for Robust and Generalizable Data Selection. - Suorong Yang; Peng Ye 006; Wanli Ouyang; Dongzhan Zhou; Furao Shen (ICLR, 2025)

GMNI: Achieve good data augmentation in unsupervised graph contrastive learning. - Xin Xiong; Xiangyu Wang; Suorong Yang; Furao Shen; Jian Zhao 013 (Neural Networks, 2025)

CS-QCFS: Bridging the performance gap in ultra-low latency spiking neural networks. - Hongchao Yang; Suorong Yang; Lingming Zhang; Hui Dou 001; Furao Shen; Jian Zhao 013 (Neural Networks, 2025)

Supervised contrastive learning with prototype distillation for data incremental learning. - Suorong Yang; Tianyue Zhang; Zhiming Xu; Peijia Li; Baile Xu; Furao Shen; Jian Zhao 013 (Neural Networks, 2025)

AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation. - Suorong Yang; Peijia Li; Xin Xiong; Furao Shen; Jian Zhao 013 (IEEE Trans. Image Process., 2025)

When Dynamic Data Selection Meets Data Augmentation. - Suorong Yang; Peng Ye 006; Furao Shen; Dongzhan Zhou (CoRR, 2025)

Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI. - Sha Zhang 002; Suorong Yang; Tong Xie; Xiangyuan Xue; Zixuan Hu; Rui Li; Wenxi Qu; Zhenfei Yin; Tianfan Fu; Di Hu 001; Andres M. Bran; Nian Ran; et al. (CoRR, 2025)

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment. - Suorong Yang; Peijia Li; Furao Shen; Jian Zhao 013 (CoRR, 2025)

Neural-Driven Image Editing. - Pengfei Zhou; Jie Xia; Xiaopeng Peng 001; Wangbo Zhao; Zilong Ye; Zekai Li; Suorong Yang; Jiadong Pan; Yuanxiang Chen; Ziqiao Wang; Kai Wang 036; Qian Zheng; et al. (CoRR, 2025)

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning. - Suorong Yang; Peijia Li; Yujie Liu; Zhiming Xu; Peng Ye 006; Wanli Ouyang; Furao Shen; Dongzhan Zhou (CoRR, 2025)

Δ-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation. - Jucheng Hu; Suorong Yang; Dongzhan Zhou (CoRR, 2025)