Browsing School of Electronic Engineering and Computer Science by Author "Ji, X"

Now showing items 1-3 of 3

    • Improved Fine-Tuning by Better Leveraging Pre-Training Data 

      Liu, Z; Xu, Y; Xu, Y; Qian, Q; Li, H; Ji, X; Chan, AB; Jin, R (2022-01-01)
      As a dominant paradigm, fine-tuning a pre-trained model on the target data is widely used in many deep learning applications, especially for small data sets. However, recent studies have empirically shown that training ...

    • Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition 

      Potorti, F; Torres-Sospedra, J; Quezada-Gaibor, D; Jimenez, AR; Seco, F; Perez-Navarro, A; Ortiz, M; Zhu, N; Renaudin, V; Ichikari, R (IEEE, 2021-01-01)
      Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition ...

    • The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks 

      Liu, Z; Cui, Y; Yan, Y; Xu, Y; Ji, X; Liu, X; Chan, A; International Conference on Machine Learning (International Conference on Machine Learning, 2024)
      In safety-critical applications such as medical imaging and autonomous driving, where decisions have profound implications for patient health and road safety, it is imperative to maintain both high adversarial robustness ...