Xiaoming Liu

Architectural distortion recognition based on a subclass technique and the sparse representation classifier

2016

Architectural distortion is the third most common sign of breast cancer in mammograms. The accurate recognition is important for computer aided diagnosis of breast cancer. However, due to the subtle symptom and complex structures in …

Traffic State Entropy Evaluation of Urban Road Network Based on Floating Car Data

2019 · 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)

Urban road network traffic state discrimination is the basis of traffic control and dynamic induction in intelligent transportation systems, and it's also an important content of traveler information services. Hence, based on the floating car …

Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations

2020 · arXiv (Cornell University)

Graph convolution network (GCN) attracts intensive research interest with broad applications. While existing work mainly focused on designing novel GCN architectures for better performance, few of them studied a practical yet challenging problem: How to …

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

2023

Prevailing defense schemes against adversarial face images tend to overfit to the perturbations in the training set and fail to generalize to unseen adversarial attacks. We propose a new self-supervised adversarial defense framework, namely FaceGuard, …

Unify Local and Global Information for Top-N Recommendation

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Knowledge graph (KG), integrating complex information and containing rich semantics, is widely considered as side information to enhance the recommendation systems. However, most of the existing KG-based methods concentrate on encoding the structural information in …

EvolGCN: A Co-Evolutionary Graph Convolutional Network Model for Dynamically Spatio-Temporal Anomaly Event Inference

2025 · IEEE Transactions on Dependable and Secure Computing

Accurately spatio-temporal anomaly event inference is significant to enhance society’s safety, such as crime prevention and traffic collision reduction, etc. However, it is hard to achieve good performance for its complicated process being influenced by …