Lingqiao Liu

Lingqiao Liu serves as Associate Professor in the School of Computer Science at the University of Adelaide, where he has established himself as a leading expert in computer vision and machine learning. After serving as an ARC DECRA Fellow, he has built an impressive research portfolio with over 10,500 citations, focusing on deep learning, visual recognition, and multimedia processing. His groundbreaking contributions include developing memory-augmented deep autoencoders for anomaly detection, advancing zero-shot learning techniques, and creating innovative approaches to deepfake detection. Through his work at Adelaide's Australian Institute for Machine Learning, he continues to advance the field through research in low-supervision machine learning, including semi-supervised learning and few-shot/zero-shot learning applications. His expertise spans multiple areas including visual place recognition, convolutional neural networks, and computational music composition, while maintaining active research in building tools for automatic visual knowledge acquisition from the Internet