PhD Student
National University of Singapore

E-mail: adam.goodge@u.nus.edu

I'm a PhD student in the School of Computing at the National University of Singapore and recipient of the SINGA scholarship from the Agency of Science, Technology and Research (A*STAR). In my PhD dissertation, I am focused on the development of robust and adaptive deep-learning techniques for anomaly detection, a challenging but important task in many machine learning applications.

• Yiting Li, Adam Goodge, Fayao Liu, Chuan-Sheng Foo. PromptAD: Zero-Shot Anomaly Detection Using Text Prompts, Winter Conference on Applications of Computer Vision (WACV) 2024.
• Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng. ARES: Locally Adaptive Reconstruction-based Anomaly Scoring , European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) 2022
• Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi. CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias, International Joint Conference on Artificial Intelligence (IJCAI) 2022.
• Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng. LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks, AAAI Conference on Artificial Intelligence (AAAI) 2022.
• Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng. Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact, International Joint Conference on Artificial Intelligence (IJCAI) 2020.