Fan Wang Interdisciplinary Graduate Programme Nanyang Technological University Email | CV | Google Scholar

About Me

I am a final year PhD student at Nanyang Technological University, advised by Professor Adams Wai-Kin Kong and co-advised by Professor Nicolas Privault. Prior to that, I received my BSc. in Mathematics from Nanyang Technological University and MSc. in Statistics from Imperial College London.

My research focuses on trustworthy machine learning and deep learning explainability. Specifically, I aim to build reliable explanations to deep learning models and to understand how the inner mechanics impact the generated outputs.

Preprints and Publications

• A Practical Upper Bound for the Worst-Case Attribution Deviations
  Fan Wang, Adams Wai-Kin Kong
  [PDF] Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

• Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
  Fan Wang, Adams Wai-Kin Kong
  [PDF] Advances in Neural Information Processing Systems (NeurIPS), 2022

• New Threats Against Object Detector with Non-local Block
  Yi Huang, Fan Wang, Adams Wai-Kin Kong, Kwok-Yan Lam
  [PDF] European Conference on Computer Vision (ECCV), 2020

• Probabilistic Deep Ordinal Regression Based on Gaussian Processes
  Yanzhu Liu, Fan Wang, Adams Wai-Kin Kong
  [PDF] Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019

Service

Conference Reviewing

• Neural Information Processing Systems (NeurIPS), 2021, 2022, 2023

• International Conference on Machine Learning (ICML), 2022, 2023

• International Conference on Learning Representations (ICLR), 2023, 2024