Publications

CCF-A denotes the list of top (Tier A) international academic periodicals and conferences recommended by China Computer Federation (CCF).

* denotes the corresponding author. # denotes Dr. Di Ming’s mentee.

An up-to-date list is available on Google Scholar.

2024

  1. Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
    Di Ming, Peng Ren#, Yunlong Wang, and Xin Feng*
    In Thirty-Eighth Annual Conference on Neural Information Processing Systems, Dec 2024
  2. Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training
    Di Ming, Peng Ren#, Yunlong Wang, and Xin Feng*
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2024
  3. Label-aware Dual-view Graph Neural Network for Protein-Protein Interaction Classification
    Xiaofei Zhu, Xinsheng Wang, Yanyan Lan, Xin Feng, Xiaoyang Liu, and Di Ming*
    Expert Systems with Applications, Jan 2024

2023

  1. TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization
    Yiran Liu#, Xin Feng, Yunlong Wang, Wu Yang, and Di Ming*
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, Oct 2023
  2. A Data-Free Universal Adversarial Attack Via Weighted Activation Maximization
    Wu Yang, Yiran Liu#, Xin Feng, and Di Ming*
    Journal of Chongqing University of Technology (Natural Science), Mar 2023

2022

  1. ViT-P: Rethinking Data-efficient Vision Transformers from Locality
    Bin Chen, Ran Wang, Di Ming, and Xin Feng
    arXiv preprint arXiv:2203.02358, Mar 2022

2020

  1. Feature Selection and Data Reconstruction via Robust and Flexible Learning Models
    Di Ming
    The University of Texas at Arlington, May 2020

2019

  1. Robust Flexible Feature Selection via Exclusive L21 Regularization
    Di Ming, and Chris Ding
    In Proceedings of the 28th International Joint Conference on Artificial Intelligence, Aug 2019
  2. A Probabilistic Derivation of LASSO and L12-Norm Feature Selections
    Di Ming, Chris Ding, and Feiping Nie
    In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, Jan 2019

2013

  1. A Novel Fusion Approach For Segmenting Dermoscopy Image Based On Region Consistency
    Quan Wen, Di Ming, and Juan Chen
    In 2013 International Conference on Computational Problem-Solving, Jan 2013
  2. A Superpixel Based Post-Processing Approach For Segmenting Dermoscopy Images
    Quan Wen, Di Ming, Juan Chen, and Wenhao Liu
    In 2013 International Conference on Advanced Computational Intelligence, Jan 2013
  3. A Generalized Fusion Approach For Segmenting Dermoscopy Images Using Markov Random Field
    Di Ming, Quan Wen, Juan Chen, and Wenhao Liu
    In 2013 International Congress on Image and Signal Processing, Jan 2013